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    <TD>Neuroradiology<BR>A Journal Devoted to Neuroimagingand =
Interventional=20
      Neuroradiology </TD></TR>
  <TR>
    <TD>=A9&nbsp;Springer-Verlag&nbsp;2008</TD></TR>
  <TR>
    <TD>10.1007/s00234-008-0409-3</TD></TR></TBODY></TABLE><!--Begin =
Abstract-->
<H2 class=3Drubric>Diagnostic Neuroradiology</H2>
<DIV class=3DHeading1><A name=3Dtitle></A>Prognostic value of choline =
and creatine=20
in WHO grade II gliomas </DIV>
<P class=3DAuthorGroup>Elke&nbsp;Hattingen<SUP>1&nbsp;<A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#ContactOfAuthor1"><IMG=20
alt=3D"Contact Information"=20
src=3D"http://www.springerlink.com/content/2288165762t443qx/contact.gif" =

border=3D0></A></SUP>, Peter&nbsp;Raab<SUP>1, 3</SUP>, =
Kea&nbsp;Franz<SUP>2</SUP>,=20
Heiner&nbsp;Lanfermann<SUP>3</SUP>, Matthias&nbsp;Setzer<SUP>2</SUP>,=20
R=FCdiger&nbsp;Gerlach<SUP>2</SUP>, =
Friedhelm&nbsp;E.&nbsp;Zanella<SUP>1</SUP> and=20
Ulrich&nbsp;Pilatus<SUP>1</SUP></P>
<TABLE>
  <TBODY>
  <TR vAlign=3Dtop>
    <TD><SPAN class=3DAffiliation><A =
name=3DAff1></A>(1)&nbsp;</SPAN></TD>
    <TD><SPAN class=3DAffiliation>Institute of Neuroradiology, Johann =
Wolfgang=20
      Goethe University of Frankfurt/Main, Schleusenweg 2-16,=20
      60528&nbsp;Frankfurt/Main, =
Germany</SPAN></TD></TR></TBODY></TABLE>
<TABLE>
  <TBODY>
  <TR vAlign=3Dtop>
    <TD><SPAN class=3DAffiliation><A =
name=3DAff2></A>(2)&nbsp;</SPAN></TD>
    <TD><SPAN class=3DAffiliation>Department of Neurosurgery, Johann =
Wolfgang=20
      Goethe University of Frankfurt/Main, Frankfurt/Main,=20
  Germany</SPAN></TD></TR></TBODY></TABLE>
<TABLE>
  <TBODY>
  <TR vAlign=3Dtop>
    <TD><SPAN class=3DAffiliation><A =
name=3DAff3></A>(3)&nbsp;</SPAN></TD>
    <TD><SPAN class=3DAffiliation>Institute of Neuroradiology, =
Medizinische=20
      Hochschule Hannover (MHH), Hannover, =
Germany</SPAN></TD></TR></TBODY></TABLE>
<P><A name=3DContactOfAuthor1></A></P>
<TABLE class=3DContact>
  <TBODY>
  <TR>
    <TD vAlign=3Dtop><IMG alt=3D"Contact Information"=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/contact.gif" =

      border=3D0></TD>
    =
<TD><STRONG>Elke&nbsp;</STRONG><STRONG>Hattingen</STRONG><STRONG></STRONG=
><BR><STRONG>Email:=20
      </STRONG><A=20
    =
href=3D"mailto:elke.hattingen@kgu.de">elke.hattingen@kgu.de</A></TD></TR>=
</TBODY></TABLE>
<P class=3DAffiliation><STRONG>Received:=20
</STRONG>11&nbsp;March&nbsp;2008&nbsp;&nbsp;<STRONG>Accepted:=20
</STRONG>30&nbsp;April&nbsp;2008&nbsp;&nbsp;<STRONG>Published online:=20
</STRONG>4&nbsp;June&nbsp;2008 </P>
<DIV class=3DAbstract><A name=3DAbs1></A><SPAN =
class=3DAbstractHeading>Abstract</SPAN>
<DIV class=3DAbstractSection>
<DIV class=3D""><SPAN class=3DAbstractSectionHeading><A=20
name=3DASec1></A>Introduction&nbsp;&nbsp;</SPAN>The purpose of this =
study was to=20
evaluate whether proton magnetic resonance spectroscopy =
(<SUP>1</SUP>H-MRS)=20
predicts survival time, tumor progression, and malignant transformation =
in=20
patients with WHO grade II gliomas. </DIV></DIV>
<DIV class=3DAbstractSection>
<DIV class=3D""><SPAN class=3DAbstractSectionHeading><A =
name=3DASec2></A>Materials and=20
methods&nbsp;&nbsp;</SPAN> <SUP>1</SUP>H-MRS and MR imaging (MRI) were =
performed=20
before surgery in 45 patients with histologically proven WHO grade II =
gliomas.=20
Metabolite concentrations of choline-containing compounds (Cho) and=20
creatine/phosphocreatine (tCr) were normalized to contralateral brain =
tissue.=20
Spectroscopic data as well as the extent of tumor resection, contrast=20
enhancement, size and histopatholocical type of the tumor, age, sex, and =
first=20
neurological symptoms of the patients were analyzed for survival, tumor=20
progression, and malignant transformation for a follow-up period of 1 to =

5&nbsp;years. </DIV></DIV>
<DIV class=3DAbstractSection>
<DIV class=3D""><SPAN class=3DAbstractSectionHeading><A=20
name=3DASec3></A>Results&nbsp;&nbsp;</SPAN>The normalized tCr of WHO =
grade II=20
gliomas was a significant predictor for tumor progression =
(<I>p</I>&#8201;=3D&#8201;0.011) and=20
for malignant tumor transformation (<I>p</I>&#8201;=3D&#8201;0.016). =
Further, contrast=20
enhancement of the tumor (<I>p</I>&#8201;=3D&#8201;0.014) at the time of =
diagnosis was=20
significant for malignant tumor transformation and extent of tumor =
resection for=20
the tumor progression (<I>p</I>&#8201;=3D&#8201;0.007). All other =
parameters failed to predict=20
any of the three endpoints. </DIV></DIV>
<DIV class=3DAbstractSection>
<DIV class=3D""><SPAN class=3DAbstractSectionHeading><A=20
name=3DASec4></A>Conclusion&nbsp;&nbsp;</SPAN>Normalized values of tCr =
in WHO=20
grade II gliomas may have prognostic implications for this group of =
gliomas. As=20
a rule of the thumb, low-grade gliomas with decreased tCr (relative tCr =
values=20
below 1.0) may show longer progression-free times and later malignant=20
transformation than low-grade gliomas with regular or increased tCr =
values.=20
</DIV></DIV></DIV>
<P class=3DKeyword><SPAN =
class=3DKeywordHeading>Keywords&nbsp;&nbsp;</SPAN>=20
<SUP>1</SUP>H-MR spectroscopy&nbsp;-&nbsp;WHO grade II=20
gliomas&nbsp;-&nbsp;Creatine&nbsp;-&nbsp;Choline&nbsp;-&nbsp;Progression&=
nbsp;-&nbsp;Malignant=20
transformation </P>
<DIV class=3DArticleNote><SPAN class=3D"">This study was supported by =
the Federal=20
Ministry of Education and Research (Brain Imaging Center Frankfurt, DLR=20
01GO0203) and the German Research Foundation (ZA 233/1-1).</SPAN></DIV>
<DIV class=3D""><A name=3DSec1></A>
<HR>

<DIV class=3Dheading2>Introduction</DIV>
<P class=3D"">WHO grade II gliomas represent a heterogeneous group of =
tumors, not=20
only regarding their histopathological differentiation, but also their =
potential=20
of malignant transformation. For about 50% of all adults with WHO grade =
II=20
gliomas, the tumor will progress within 5&nbsp;years after surgery with =
or=20
without postoperative radiation [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR1">1</A></CITE>].=20
The need for accurate recognition of a low-grade to high-grade =
progression in=20
cerebral gliomas has given impetus to continuous research. </P>
<P class=3D"">Proton magnetic resonance spectroscopy (<SUP>1</SUP>H-MRS) =
is a=20
non-invasive method for predicting malignancy of gliomas [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR2">2</A></CITE>].=20
Studies evaluating the prognostic value of <SUP>1</SUP>H-MRS included =
all WHO=20
grades of gliomas or analyzed suspected gliomas without =
histopathological=20
confirmation [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR3">3</A></CITE>,=20
<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR4">4</A></CITE>].=20
Further, studies have shown that <SUP>1</SUP>H-MRS aids in detecting the =

transformation of WHO grade II gliomas towards a higher malignancy grade =

[<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR5">5</A></CITE>].=20
</P>
<P class=3D"">A number of patient and tumor characteristics such as age =
at=20
diagnosis, clinical performance status, histology subtype, tumor size, =
presence=20
of seizures at diagnosis, and extent of resection have been proposed as=20
prognostic factors for the duration of the progression-free period or =
overall=20
survival time [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR6">6</A></CITE>].=20
In many of these retrospective studies, patients were treated with =
different=20
forms of adjuvant radiation and/or chemotherapy. This is the first study =
that=20
evaluates prospectively the prognostic value of different spectroscopic =
data=20
(metabolites concentrations either normalized to healthy tissue or given =
as=20
ratios to reference metabolites, e.g., creatine) from =
histopathologically proven=20
grade II gliomas before surgery in patients who did not receive adjuvant =

radiochemotherapy in the follow-up period until tumor progression was =
diagnosed.=20
</P></DIV>
<DIV class=3D""><A name=3DSec2></A>
<HR>

<DIV class=3Dheading2>Materials and methods</DIV>
<DIV class=3D""><A name=3DSec3></A>
<DIV class=3DHeading3>Patients</DIV>
<P class=3D"">During the period from 2002 to 2006, 50 consecutive =
patients with=20
newly diagnosed low-grade gliomas WHO II and indication for surgical=20
intervention were included in the study. Tumors in close proximity to =
the skull=20
base and tumors with a diameter of 1&nbsp;cm or less were not included. =
General=20
exclusion criteria were contraindications for MRI, e.g., the presence of =

pacemakers, defibrillators, neurostimulators, prohibited medical =
implants, and=20
foreign bodies, as well as agitated patients. All participants provided =
informed=20
consent. Prior to surgical resection, the patients received MRI and=20
<SUP>1</SUP>H-MRS examinations. Five patients who did not keep contact =
were lost=20
for additional MRI and/or clinical follow-up, leaving 45 patients for =
the=20
analysis. The age ranged from 21 to 75 with a median of 41.3&nbsp;years. =

Twenty-eight patients were male and 17 were female. </P>
<P class=3D"">All tumors were histologically confirmed according to the =
WHO 2000=20
categorization standard based on samples from biopsy or surgical =
resection at=20
the department of neurosurgery. Whenever tumor progression or malignant=20
transformation was diagnosed in follow-up MRIs, the patients were =
treated by=20
fractionated radiation therapy or/and chemotherapy following a standard=20
protocol. </P>
<P class=3D"">The follow-up examinations spanned a period of 1 to =
5&nbsp;years=20
(37&nbsp;months median follow-up time) with the last examination =
performed in=20
July 2007. All patients were controlled clinically and by MRI 1 or =
2&nbsp;days=20
after surgery, 3 and 6&nbsp;months later, and then in intervals of 6 or=20
12&nbsp;months, depending on the stability of the tumor or whenever =
clinical=20
signs of progression were suspected. </P></DIV>
<DIV class=3D""><A name=3DSec4></A>
<DIV class=3DHeading3>MR examinations</DIV>
<P class=3D"">All MRI and MRS data were acquired within 1 to 7&nbsp;days =
prior to=20
surgery. Standard MRI was performed on a 1.5-T scanner for all patients. =
From=20
March 2004, spectroscopic measurements change from a 1.5-T scanner to a =
3-T=20
scanner. In the initial stage of the study (until March 2004), single =
voxel=20
spectroscopy (SVS) was performed on a 1.5-T scanner (Intera; Philips =
Medical=20
Systems, Best, Netherlands) using a transmit/receive quadrature head =
coil. In=20
this period, 19 patients were examined. Starting from March 2004, a 3-T =
head=20
scanner (Siemens Allegra, Siemens AG, Erlangen, Germany) equipped with a =

transmit/receive quadrature head coil was used for the spectroscopy =
examination.=20
At the higher field strength, spectroscopic imaging (MRSI) was performed =
instead=20
of SVS. Voxel localization and/or slice positioning was based on =
T2-weighted=20
images in three orientations. No contrast agent was applied for the =
reference=20
slices prior to the spectroscopic measurement to avoid any interference =
with the=20
proton relaxivities of the main metabolites [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR7">7</A></CITE>].=20
For the same reason, standard MRI was performed on a separate day. The =
imaging=20
protocol was identical for all patients, including axial and coronal =
T2-weighted=20
images (TR/TE 4,000/99&nbsp;ms) and axial fluid-attenuated inversion =
recovery=20
images (FLAIR, TR/TI/TE 10,000/2,000/120&nbsp;ms). For detection of =
contrast=20
enhancement, T1-weighted images (TR/TE 650/15&nbsp;ms) were acquired =
before and=20
after intravenous application of 0.1&nbsp;mmol/kg body weight =
gadolinium-DTPA.=20
</P></DIV>
<DIV class=3D""><A name=3DSec5></A>
<DIV class=3DHeading3>Spectroscopic data acquisition</DIV>
<P class=3D"">Single voxel <SUP>1</SUP>H MR spectroscopy was performed =
using=20
point-resolved spectroscopy (PRESS) volume selection with an echo time =
of=20
135&nbsp;ms, a repetition time of 1,500&nbsp;ms, and chemical shift =
selective=20
saturation (CHESS) for suppression of the water signal. The voxel was =
positioned=20
within the tumor. To exclude the influence of metabolite variability in=20
different brain regions, a reference voxel was measured, which was =
located in=20
normal (healthy) appearing brain tissue in the same anatomic area of the =

contralateral hemisphere excluding gray matter. Quantitative values were =

obtained by comparing the signal intensities to a calibration =
measurement with a=20
phantom containing a solution of 20&nbsp;mmol/l NAA (phantom replacement =

method). </P>
<P class=3D"">Starting in 2004, magnetic resonance data were acquired =
with a 3-T=20
head scanner (Siemens Allegra, Siemens AG, Erlangen, Germany) using a =
protocol=20
described in Hattingen et al. [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR8">8</A></CITE>].=20
Briefly, two-dimensional <SUP>1</SUP>H-MR spectroscopic imaging=20
(<SUP>1</SUP>H-MRSI) was performed with TR of 1,500&nbsp;ms and TE of=20
144&nbsp;ms (<I>n</I>&#8201;=3D&#8201;24) or TE of 30&nbsp;ms =
(<I>n</I>&#8201;=3D&#8201;5). The slice was=20
positioned in the center of the tumor. The VOI (selected by PRESS) was =
adjusted=20
to contain pathological tissue and contralateral healthy tissue, while =
lipid=20
from the skull was excluded. Slice thickness was 10&nbsp;mm and the FOV =
was=20
240&#8201;=D7&#8201;240&nbsp;mm<SUP>2</SUP> acquired with a circular =
phase encoding scheme on=20
a 28&#8201;=D7&#8201;28 matrix, extrapolated to 32&#8201;=D7&#8201;32. =
The resulting nominal spectroscopic=20
voxels measured =
7.5&#8201;=D7&#8201;7.5&#8201;=D7&#8201;10&nbsp;mm<SUP>3</SUP>. Typical =
VOIs were=20
80&#8201;=D7&#8201;80&#8201;=D7&#8201;10&nbsp;mm<SUP>3</SUP> of size, =
but, whenever required, the size was=20
adjusted according to the lesion=92s and head=92s geometry. Axial slice =
orientation=20
was preferred, but some tumors near the skull base were measured in =
coronal=20
orientation (typical VOI of =
60&#8201;=D7&#8201;80&#8201;=D7&#8201;10&nbsp;mm<SUP>3</SUP>) in order =
to=20
minimize artefacts. </P>
<DIV class=3DPara>
<DIV class=3D"">For postprocessing, the reference images and =
spectroscopic data=20
were transferred to a workstation for offline analysis. Spectra were =
fitted in=20
the frequency domain by a linear combination of a set of model spectra =
including=20
the main metabolites choline-containing compounds (Cho),=20
creatine/phosphocreatine (tCr), and <I>N</I>-acetyl-aspartate (NAA) =
using the=20
commercially available software tool LCModel (Provencher, downloadable =
test=20
version at: <A =
href=3D"http://s-provencher.com/">http://s-provencher.com/</A>)=20
[<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR9">9</A></CITE>].=20
Baseline correction was performed including macromolecules. Quantitative =
values=20
were obtained by phantom replacement method applying correction terms as =

described by Michaelis et al. [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR10">10</A></CITE>].=20
Partial saturation and dephasing of in vivo metabolites were corrected =
for by=20
assuming T1 and T2 relaxation times as described by Hattingen et al. =
[<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR8">8</A></CITE>].=20
Concentrations were estimated as millimole per voxel volume, which may =
be=20
considered as absolute concentrations, and plotted as metabolite maps =
for Cho,=20
tCr, and NAA. Cho and tCr metabolite maps as well as representative =
spectra from=20
tumor and contralateral tissue are shown in Fig.&nbsp;<A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#Fig1">1</A>.=20
For each tumor, experienced neuroradiologists (E.H., P.R.) delineated a=20
two-dimensional region of interest (ROI) by manually tracing the border =
of tumor=20
tissue on the corresponding T2-weighted slices (ROI of the tumor =3D=20
ROI<SUB>tu</SUB>). Further, for tumor tissue the value of the voxel with =
the=20
maximum concentration of Cho (Cho<SUB>max</SUB>) was determined =
according to=20
Tedeschi et al. [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR5">5</A></CITE>].=20
The Cho<SUB>max</SUB> was identified on gray-scaled concentration =
images. To=20
validate the results, the maximum values were compared to all other=20
concentrations in the ROI<SUB>tu</SUB>. Analogous to the SVS, the=20
ROI<SUB>tu</SUB>=92s mean concentrations of Cho and tCr were normalized =
by=20
calculating the ratios between the values of ROI<SUB>tu</SUB> to a =
reference=20
ROI, which was located in normal (healthy) appearing brain tissue in the =
same=20
anatomic area of the contralateral hemisphere (e.g.,=20
Cho<SUB>tumor</SUB>/Cho<SUB>normal</SUB>,=20
tCr<SUB>tumor</SUB>/tCr<SUB>normal</SUB>). Further, the increase of =
normalized=20
Cho of the tumor at the time of progression =
(<I>n</I>&#8201;=3D&#8201;13) compared to the=20
preoperative value of normalized Cho was calculated.=20
<DIV class=3DFigure><A name=3DFig1></A><IMG=20
alt=3DMediaObjects/234_2008_409_Fig1_HTML.gif=20
src=3D"http://www.springerlink.com/content/2288165762t443qx/MediaObjects/=
234_2008_409_Fig1_HTML.gif"></DIV>
<DIV class=3DCapt><SPAN =
class=3DCaptNr>Fig.&nbsp;1&nbsp;</SPAN>Metabolite maps and=20
representative long TE (144&nbsp;ms) spectra from control (<I>upper =
right</I>)=20
and tumor tissue for an LGG. The <I>red line</I> shows the result of the =
LCModel=20
fit </DIV>
<HR>
</DIV></DIV></DIV>
<DIV class=3D""><A name=3DSec6></A>
<DIV class=3DHeading3>Clinical features</DIV>
<P class=3D"">Besides age and sex of the patients, the first =
neurological symptoms=20
at time of diagnosis were analyzed by categorizing them into four =
different=20
groups: patients with no symptoms, patients with seizures, patients with =

neurological deficits, and patients with other symptoms like headache or =

vertigo. </P></DIV>
<DIV class=3D""><A name=3DSec7></A>
<DIV class=3DHeading3>Tumor features</DIV>
<P class=3D"">The size of the tumor was indicated by the largest =
diameter and was=20
categorized in tumors smaller than 6&nbsp;cm, larger than 6&nbsp;cm, and =

gliomatosis. Further, the presence or absence of contrast enhancement of =
the=20
tumor at time of diagnosis and the differentiation of tumor with or =
without=20
oligodendroglial components were analyzed. The extent of tumor resection =
was=20
assessed on MRI, which was performed within 48&nbsp;h after surgery. No=20
detectable tumor tissue was categorized as total resection, less than =
10% of=20
remaining tumor tissue as subtotal resection, and more than 10% tumor =
tissue as=20
partial resection. A fourth group implied the tumor biopsy. </P></DIV>
<DIV class=3D""><A name=3DSec8></A>
<DIV class=3DHeading3>Target variables</DIV>
<P class=3D"">The prognosis of WHO grade II gliomas was determined by =
analyzing=20
the data with respect to three endpoints: tumor progression, malignant =
tumor=20
transformation, and survival time. Tumor progression was defined by new =
contrast=20
enhancement and/or volume progression of more than 25% or recurrence of =
a=20
previously completely resected tumor. Among tumors with progression, =
malignant=20
transformation of the tumor was defined as biopsy-proven grade III or IV =
gliomas=20
and/or new enhancement of contrast medium (CM) of the untreated tumors. =
Thus,=20
gliomas with malignant transformation represent a subgroup of gliomas =
with tumor=20
progression, whereas in reverse, tumor progression does not imply =
malignant=20
transformation. </P></DIV>
<DIV class=3D""><A name=3DSec9></A>
<DIV class=3DHeading3>Statistical methods</DIV>
<DIV class=3DPara>
<DIV class=3D"">Statistical analyses were performed with STATISTICA 7.1 =
(StatSoft,=20
Tulsa, OK, USA). Significance level was set =
<I>p</I>&#8201;&lt;&#8201;0.05 for all tests.=20
Categorical variables were analyzed using the chi-square test to =
determine the=20
predictive values of tumor features and clinical data and for tumor =
progression=20
and malignant transformation. Unifactorial analysis of variance (ANOVA), =

followed by Scheff=E9 post hoc test was performed to analyze the =
predictive value=20
of normalized tCr, Cho, and Cho<SUB>max</SUB> on survival, tumor =
progression,=20
and malignant transformation, respectively. The median progression-free =
survival=20
was estimated with the Kaplan=96Meier method. Time until tumor =
progression was=20
expressed in months while categorical groups were formed for the =
normalized=20
values of Cho and tCr (Table&nbsp;<A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#Tab1">1</A>).=20
<A name=3DTab1></A>
<DIV class=3DCapt><SPAN =
class=3DCaptNr>Table&nbsp;1&nbsp;</SPAN>Normalized values of=20
Cho (Cho<SUB>tumor</SUB>/Cho<SUB>normal</SUB>) and tCr=20
(tCr<SUB>tumor</SUB>/tCr<SUB>normal</SUB>) grouped for categories to =
analyze the=20
time-dependent variable =93tumor progression=94 with the Kaplan=96Meier =
method and=20
further to compare metabolite data with other categorial variables =
(tumor=20
features, clinical data). </DIV>
<TABLE border=3D1>
  <COLGROUP>
  <COL align=3Dleft>
  <COL align=3Dleft>
  <COL align=3Dleft>
  <COL align=3Dleft>
  <COL align=3Dleft>
  <COL align=3Dleft></COLGROUP>
  <THEAD>
  <TR class=3Dheader>
    <TH align=3Dleft>
      <P class=3D"">&nbsp;</P></TH>
    <TH align=3Dleft>
      <P class=3D"">&lt;1.0 (<I>N</I>) </P></TH>
    <TH align=3Dleft>
      <P class=3D"">1.0=961.19 (<I>N</I>) </P></TH>
    <TH align=3Dleft>
      <P class=3D"">1.2=961.59 (<I>N</I>) </P></TH>
    <TH align=3Dleft>
      <P class=3D"">1.6=962.0 (<I>N</I>) </P></TH>
    <TH align=3Dleft>
      <P class=3D"">&gt;2.0 (<I>N</I>) </P></TH></TR></THEAD>
  <TBODY>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">Normalized Cho =
(Cho<SUB>tumor</SUB>/Cho<SUB>normal</SUB>)=20
    </P></TD>
    <TD align=3Dleft>
      <P class=3D"">(1)</P></TD>
    <TD align=3Dleft>
      <P class=3D"">7&#8201;+&#8201;1</P></TD>
    <TD align=3Dleft>
      <P class=3D"">22</P></TD>
    <TD align=3Dleft>
      <P class=3D"">8</P></TD>
    <TD align=3Dleft>
      <P class=3D"">7</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">Normalized tCr =
(tCr<SUB>tumor</SUB>/tCr<SUB>normal</SUB>)=20
    </P></TD>
    <TD align=3Dleft>
      <P class=3D"">27</P></TD>
    <TD align=3Dleft>
      <P class=3D"">9</P></TD>
    <TD align=3Dleft>
      <P class=3D"">7&#8201;+&#8201;2</P></TD>
    <TD align=3Dleft>
      <P class=3D"">(2)</P></TD>
    <TD align=3Dleft>
      <P class=3D"">0</P></TD></TR></TBODY></TABLE>
<DIV class=3DCapt>
<DIV class=3DCaptCont>
<DIV class=3D"">Numbers of cases (<I>N</I>) for each category are =
indicated.=20
Categories in parenthesis did not include enough cases. Patients with =
too small=20
samples were expressed (+) in the groups they were included.=20
</DIV></DIV></DIV></DIV></DIV></DIV></DIV>
<DIV class=3D""><A name=3DSec10></A>
<HR>

<DIV class=3Dheading2>Results</DIV>
<P class=3D"">Twenty-eight males and 17 females with a mean age of=20
41&#8201;=B1&#8201;13&nbsp;years were included in the study. Symptoms at =
admission were=20
seizures (<I>n</I>&#8201;=3D&#8201;29), neurological deficits =
(<I>n</I>&#8201;=3D&#8201;7; two of them also=20
had seizures), and others (<I>n</I>&#8201;=3D&#8201;7). Two patients =
were asymptomatic. </P>
<DIV class=3DPara>
<DIV class=3D"">Features of the tumor at time of diagnosis and extent of =
resection=20
are shown in Table&nbsp;<A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#Tab2">2</A>.=20
<A name=3DTab2></A>
<DIV class=3DCapt><SPAN class=3DCaptNr>Table&nbsp;2&nbsp;</SPAN>The =
features of the=20
tumor at time of diagnosis and extent of resection. </DIV>
<TABLE border=3D1>
  <COLGROUP>
  <COL align=3Dleft>
  <COL align=3Dchar char=3D".">
  <COL align=3Dchar char=3D".">
  <COL align=3Dchar char=3D".">
  <COL align=3Dchar char=3D".">
  <COL align=3Dchar char=3D".">
  <COL align=3Dchar char=3D".">
  <COL align=3Dchar char=3D".">
  <COL align=3Dchar char=3D".">
  <COL align=3Dchar char=3D".">
  <COL align=3Dchar char=3D".">
  <COL align=3Dchar char=3D"."></COLGROUP>
  <THEAD>
  <TR class=3Dheader>
    <TH align=3Dleft rowSpan=3D2>
      <P class=3D"">&nbsp;</P></TH>
    <TH align=3Dchar colSpan=3D2 char=3D".">
      <P class=3D"">CM enhancement</P></TH>
    <TH align=3Dchar colSpan=3D3 char=3D".">
      <P class=3D"">Largest diameter (cm)</P></TH>
    <TH align=3Dchar colSpan=3D2 char=3D".">
      <P class=3D"">Histopathology</P></TH>
    <TH align=3Dchar char=3D".">
      <P class=3D"">Extent of resection</P></TH>
    <TD class=3Dauto-generated>&nbsp;</TD>
    <TD class=3Dauto-generated>&nbsp;</TD>
    <TD class=3Dauto-generated>&nbsp;</TD>
    <TD class=3Dauto-generated>&nbsp;</TD></TR>
  <TR class=3Dheader>
    <TH align=3Dleft char=3D".">
      <P class=3D"">Yes</P></TH>
    <TH align=3Dleft char=3D".">
      <P class=3D"">No</P></TH>
    <TH align=3Dleft char=3D".">
      <P class=3D"">&lt;6</P></TH>
    <TH align=3Dleft char=3D".">
      <P class=3D"">&#8805;6</P></TH>
    <TH align=3Dleft char=3D".">
      <P class=3D"">Gliomatosis</P></TH>
    <TH align=3Dleft char=3D".">
      <P class=3D"">Astrocytoma</P></TH>
    <TH align=3Dleft char=3D".">
      <P class=3D"">LGGs with oligodendroglial components</P></TH>
    <TH align=3Dleft char=3D".">
      <P class=3D"">Total</P></TH>
    <TH align=3Dleft char=3D".">
      <P class=3D"">Subtotal</P></TH>
    <TH align=3Dleft char=3D".">
      <P class=3D"">Partial</P></TH>
    <TH align=3Dleft char=3D".">
      <P class=3D"">Biopsy</P></TH></TR></THEAD>
  <TBODY>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">Number (<I>n</I>) </P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">7</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">38</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">23</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">16</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">6</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">37</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">8</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">5</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">3</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">20</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">17</P></TD></TR></TBODY></TABLE>
<DIV class=3DCapt>
<DIV class=3DCaptCont>
<DIV class=3D"">Numbers of each group are =
indicated.</DIV></DIV></DIV></DIV></DIV>
<DIV class=3D""><A name=3DSec11></A>
<DIV class=3DHeading3>Target values</DIV>
<P class=3D"">In 12 patients, no tumor progression occurred during =
follow-up. In=20
33 cases, the tumor progressed. The mean time for detection of =
progression was=20
8&nbsp;months. Twenty-six of the progressive cases (12 of these were=20
biopsy-proven) showed malignant transformation, diagnosed with a mean =
time of=20
15&nbsp;months. Ten patients died in the follow-up after a mean time of=20
38&nbsp;months. </P></DIV>
<DIV class=3D""><A name=3DSec12></A>
<DIV class=3DHeading3>Statistical results</DIV>
<DIV class=3DPara>
<DIV class=3D"">The median and ranges of normalized tCr and Cho for the =
three=20
endpoints are indicated in Table&nbsp;<A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#Tab3">3</A>.=20
Chi-square tests revealed that categorial groups of normalized tCr=20
(<I>p</I>&#8201;=3D&#8201;0.017) as well as contrast enhancement at the =
time of the diagnosis=20
(<I>p</I>&#8201;=3D&#8201;0.014) were significant for the endpoint =
malignant transformation of=20
the WHO grade II gliomas. The extent of resection was the only =
significant=20
categorial variable for the endpoint tumor progression =
(<I>p</I>&#8201;=3D&#8201;0.007). All=20
other categorial parameters failed significance level. <A =
name=3DTab3></A>
<DIV class=3DCapt><SPAN =
class=3DCaptNr>Table&nbsp;3&nbsp;</SPAN>Concentrations of=20
tCr and Cho (median and range), which were normalized by calculating =
ratios=20
between the values of the tumor (Cho<SUB>tu</SUB>, tCr<SUB>tu</SUB>) and =
values=20
of normal appearing brain tissue in the same anatomic area of the =
contralateral=20
hemisphere (Cho<SUB>no</SUB>, tCr<SUB>no</SUB>). </DIV>
<TABLE border=3D1>
  <COLGROUP>
  <COL align=3Dleft>
  <COL align=3Dchar char=3D".">
  <COL align=3Dchar char=3D"(">
  <COL align=3Dchar char=3D"("></COLGROUP>
  <THEAD>
  <TR class=3Dheader>
    <TH align=3Dleft>
      <P class=3D"">&nbsp;</P></TH>
    <TH align=3Dleft char=3D".">
      <P class=3D"">Number of tumors (<I>N</I>) </P></TH>
    <TH align=3Dleft char=3D"(">
      <P class=3D"">Cho<SUB>tu</SUB>/Cho<SUB>n</SUB> median (range) =
</P></TH>
    <TH align=3Dleft char=3D"(">
      <P class=3D"">tCr<SUB>tu</SUB>/tCr<SUB>n</SUB> median (range)=20
  </P></TH></TR></THEAD>
  <TBODY>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">Tumor progression</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">33</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">1.33 (0.75=963.23)</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">1.00 (0.55=961.94)</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">No tumor progression</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">12</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">1.31 (0.41=961.65)</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">0.80 (0.27=961.36)</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">Malignant tumor transformation</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">26</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">1.50 (0.75=963.23)</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">1.03 (0.6=961.94)</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">No malignant transformation</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">19</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">1.24 (0.41=961.65)</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">0.79 (0.27=961.26)</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">Death</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">10</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">1.83 (1.16=963.23)</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">1.04 (0.79=961.94)</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">No death</P></TD>
    <TD align=3Dchar char=3D".">
      <P class=3D"">35</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">1.27 (0.41=961.74)</P></TD>
    <TD align=3Dchar char=3D"(">
      <P class=3D"">0.94 (0.27=961.43)</P></TD></TR></TBODY></TABLE>
<DIV class=3DCapt>
<DIV class=3DCaptCont>
<DIV class=3D"">The values are indicated for WHO grade II gliomas with =
and without=20
progression, WHO grade II gliomas with and without malignant =
transformation, and=20
for patients with WHO grade II gliomas who died or survived during the =
follow-up=20
period. </DIV></DIV></DIV></DIV></DIV>
<DIV class=3DPara>
<DIV class=3D"">In the ANOVA analysis of continuous data, the normalized =
tCr was=20
significant for each of the two endpoints tumor progression =
(<I>p</I>&#8201;=3D&#8201;0.011)=20
and malignant transformation (<I>p</I>&#8201;=3D&#8201;0.016; =
Fig.&nbsp;<A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#Fig2">2</A>).=20
Normalized Cho and Cho<SUB>max</SUB> failed significance level for both=20
endpoints. No significances were found for the endpoint survival/death.=20
<DIV class=3DFigure><A name=3DFig2></A><IMG=20
alt=3DMediaObjects/234_2008_409_Fig2_HTML.gif=20
src=3D"http://www.springerlink.com/content/2288165762t443qx/MediaObjects/=
234_2008_409_Fig2_HTML.gif"></DIV>
<DIV class=3DCapt><SPAN class=3DCaptNr>Fig.&nbsp;2&nbsp;</SPAN> =
<B>a</B>, <B>b</B>=20
The predictive values of normalized tCr=20
(tCr<SUB>tumor</SUB>/tCr<SUB>normal</SUB>) and normalized Cho=20
(Cho<SUB>tumor</SUB>/Cho<SUB>normal</SUB>) were analyzed for progression =

(<B>a</B>) and malignant transformation (<B>b</B>) of histopathological =
proven=20
gliomas WHO grade II using the unifactorial analysis of variance =
(ANOVA).=20
<SUP>*</SUP>indicates significant change </DIV>
<HR>
</DIV></DIV>
<DIV class=3DPara>
<DIV class=3D"">Results from the Kaplan=96Meier method are shown in =
Table&nbsp;<A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#Tab4">4</A>=20
with illustration of progression-free survival for the normalized tCr=20
(Fig.&nbsp;<A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#Fig3">3</A>).=20

<DIV class=3DFigure><A name=3DFig3></A><IMG=20
alt=3DMediaObjects/234_2008_409_Fig3_HTML.gif=20
src=3D"http://www.springerlink.com/content/2288165762t443qx/MediaObjects/=
234_2008_409_Fig3_HTML.gif"></DIV>
<DIV class=3DCapt><SPAN class=3DCaptNr>Fig.&nbsp;3&nbsp;</SPAN>The =
Kaplan=96Meier=20
graph shows the median progression-free intervals for categorized =
concentrations=20
of tCr<SUB>tumor</SUB>/tCr<SUB>normal</SUB> </DIV>
<HR>
<A name=3DTab4></A>
<DIV class=3DCapt><SPAN class=3DCaptNr>Table&nbsp;4&nbsp;</SPAN>Results =
from=20
Kaplan=96Meier method for the median progression-free interval are =
indicated for=20
the different categorized groups of normalized tCr and Cho. </DIV>
<TABLE border=3D1>
  <COLGROUP>
  <COL align=3Dleft>
  <COL align=3Dleft>
  <COL align=3Dleft>
  <COL align=3Dleft>
  <COL align=3Dleft></COLGROUP>
  <THEAD>
  <TR class=3Dheader>
    <TH align=3Dleft rowSpan=3D2>
      <P class=3D"">&nbsp;</P></TH>
    <TH align=3Dleft>
      <P class=3D"">All patients</P></TH>
    <TH align=3Dleft>
      <P class=3D"">Patients with LGG progression</P></TH>
    <TH align=3Dleft colSpan=3D2>
      <P class=3D"">Progression-free interval (months)</P></TH></TR>
  <TR class=3Dheader>
    <TH align=3Dleft>
      <P class=3D"">Number</P></TH>
    <TH align=3Dleft>
      <P class=3D"">Number</P></TH>
    <TH align=3Dleft>
      <P class=3D"">Median</P></TH>
    <TH align=3Dleft>
      <P class=3D"">Mean (95% CI)</P></TH></TR></THEAD>
  <TBODY>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">tCr &lt;1.0</P></TD>
    <TD align=3Dleft>
      <P class=3D"">27</P></TD>
    <TD align=3Dleft>
      <P class=3D"">17</P></TD>
    <TD align=3Dleft>
      <P class=3D"">12</P></TD>
    <TD align=3Dleft>
      <P class=3D"">20 (13=9627)</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">tCr&#8201;=3D&#8201;1.0=961.19</P></TD>
    <TD align=3Dleft>
      <P class=3D"">9</P></TD>
    <TD align=3Dleft>
      <P class=3D"">8</P></TD>
    <TD align=3Dleft>
      <P class=3D"">7</P></TD>
    <TD align=3Dleft>
      <P class=3D"">8 (6=9610)</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">tCr &gt;1.19</P></TD>
    <TD align=3Dleft>
      <P class=3D"">9</P></TD>
    <TD align=3Dleft>
      <P class=3D"">8</P></TD>
    <TD align=3Dleft>
      <P class=3D"">4</P></TD>
    <TD align=3Dleft>
      <P class=3D"">7 (2=9613)</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">Cho &lt;1.19</P></TD>
    <TD align=3Dleft>
      <P class=3D"">8</P></TD>
    <TD align=3Dleft>
      <P class=3D"">5</P></TD>
    <TD align=3Dleft>
      <P class=3D"">26</P></TD>
    <TD align=3Dleft>
      <P class=3D"">25 (15=9635)</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">Cho&#8201;=3D&#8201;1.2=961.59</P></TD>
    <TD align=3Dleft>
      <P class=3D"">22</P></TD>
    <TD align=3Dleft>
      <P class=3D"">16</P></TD>
    <TD align=3Dleft>
      <P class=3D"">6</P></TD>
    <TD align=3Dleft>
      <P class=3D"">11 (7=9616)</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">Cho&#8201;=3D&#8201;1.6=962.0</P></TD>
    <TD align=3Dleft>
      <P class=3D"">8</P></TD>
    <TD align=3Dleft>
      <P class=3D"">5</P></TD>
    <TD align=3Dleft>
      <P class=3D"">7</P></TD>
    <TD align=3Dleft>
      <P class=3D"">19 (8=9631)</P></TD></TR>
  <TR class=3Dnoclass>
    <TD align=3Dleft>
      <P class=3D"">Cho &gt;2.0</P></TD>
    <TD align=3Dleft>
      <P class=3D"">7</P></TD>
    <TD align=3Dleft>
      <P class=3D"">7</P></TD>
    <TD align=3Dleft>
      <P class=3D"">5</P></TD>
    <TD align=3Dleft>
      <P class=3D"">5 (1=969)</P></TD></TR></TBODY></TABLE>
<DIV class=3DCapt>
<DIV class=3DCaptCont>
<DIV class=3D""><I>LGG</I> Low-grade gliomas WHO II, <I>CI</I> =
confidence interval=20
</DIV></DIV></DIV></DIV></DIV></DIV></DIV>
<DIV class=3D""><A name=3DSec13></A>
<HR>

<DIV class=3Dheading2>Discussion</DIV>
<P class=3D"">This is the first study group which investigates the role =
of Cho and=20
tCr concentrations for predicting the progression-free survival of WHO =
grade II=20
gliomas and the time until these low-grade gliomas (LGG) show malignant=20
transformation. </P>
<P class=3D"">In a prospective study monitoring suspected but =
histopathologically=20
unproven WHO grade II gliomas, Reijneveld et al. did not find clear =
evidence=20
that <SUP>1</SUP>H-MRSI improves the prediction regarding malignant=20
transformation [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR4">4</A></CITE>].=20
However, their study was based on the within-voxel NAA/Cho ratio of the =
lesion.=20
A strong decrease in tNAA may mask changes in the Cho concentration =
concealing=20
their significance. A retrospective study by Kuznetsov was designed to =
evaluate=20
the accuracy of survival predictions on the basis of <SUP>1</SUP>H-MRSI =
features=20
for all grades of gliomas including glioblastomas [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR3">3</A></CITE>].=20
They found that the ratio between the maximum values of Cho normalized =
to tCr of=20
normal appearing brain tissue of the same patient could predict survival =
in=20
patients with supratentorial gliomas with accuracy comparable to =
invasive=20
methods. However, since higher tumor grades correspond to higher Cho, it =
remains=20
disputable whether Cho is a spectroscopic predictor of survival =
independent from=20
tumor grade or whether Cho reflects the well-known correlation between=20
histopathological tumor grade and survival. Tedeschi et al. could show =
that an=20
increase of Cho<SUB>max</SUB> during <SUP>1</SUP>H-MRSI monitoring of =
WHO grade=20
II gliomas detects the shift towards a higher malignancy grade [<CITE><A =

href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR5">5</A></CITE>].=20
</P>
<P class=3D"">None of the spectroscopic studies evaluated the prognostic =

significance of tCr in WHO grade II gliomas. In this study, the average =
tCr=20
concentration of the entire tumor tissue, delineated on the T2-weighted=20
reference slices, divided by the tCr concentration of the same =
anatomical area=20
in the contralateral hemisphere turned out to be an important predictive =
value=20
for tumor progression and malignant transformation. As a rule of thumb, =
WHO=20
grade II gliomas with decreased tCr (relative tCr values below 1.0) may =
show=20
longer progression-free times and later malignant transformation than =
LGGs with=20
regular or increased tCr values. There was no significant correlation =
between=20
values of normalized tCr and survival time, possibly due to the low =
number of=20
patients who died in the follow-up time. Further, survival not only =
depends on=20
the progression-free interval, but also on the efficiency of the applied =
tumor=20
therapy. In this study, most of the patients with progressive disease =
received=20
radiation with or without chemotherapy. Therefore, the tumor =
concentration of=20
tCr might rather correlate with longer progression-free survival of =
patients=20
without adjuvant therapy than it provides information on the =
susceptibility of=20
tumor tissue for therapy. </P>
<P class=3D"">Many studies evaluate metabolite levels in brain tumors =
expressed as=20
ratio to tCr. The denominator is explicitly assumed to be stable in =
normal as=20
well as in many pathologic states. The use of this ratio misses the =
importance=20
of tCr for WHO grade II gliomas and thus, our results should have =
implication on=20
spectroscopic studies of glial tumors. Further, Li et al. could show =
high=20
coefficients of variations for metabolite ratios NAA/Cr and Cho/Cr in =
normal=20
brains [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR11">11</A></CITE>].=20
Reports of absolute concentrations of creatine in tumor tissue are =
limited to=20
few publications. Some authors found significant changes of tCr in =
gliomas=20
observing both increased and decreased tCr levels in different brain =
tumors and=20
even in different tumor regions [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR12">12</A></CITE>=96<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR14">14</A></CITE>].=20
In gliomas, it is still unclear whether there is another biochemical =
role for=20
creatine besides the well-established function of phosphocreatine as =
short-term=20
energy reservoir. Highest tCr concentrations were found in astrocytes =
and=20
oligodendrocytes [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR15">15</A></CITE>].=20
Astroglial cells of the brain are able to synthesize creatine and to =
release=20
guanidinoacetate as intermediate of creatine synthesis, whereas tumor =
cells seem=20
to synthesize a lower amount of tCr [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR16">16</A></CITE>,=20
<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR17">17</A></CITE>].=20
Previous results indicate that increased tCr may be the reaction of =
astroglial=20
cells to infiltrative growth of tumor cells [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR8">8</A></CITE>].=20
In this context, tCr reveals the infiltrative activity of the tumor =
cells which=20
explains that gliomas with higher tCr progress faster. </P>
<P class=3D"">In contrast to tCr, many studies have investigated the =
role of Cho=20
in glial tumors. Increased Cho levels are attributed to cell =
proliferation or=20
growth stimulation, and increased phosphocholine is associated with =
oncogenic=20
and malignant transformation [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR18">18</A></CITE>=96<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR21">21</A></CITE>].=20
The Cho signal also reflects levels of local cellularity [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR22">22</A></CITE>,=20
<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR23">23</A></CITE>],=20
the invasiveness as well as the malignancy of gliomas [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR24">24</A></CITE>=96<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR26">26</A></CITE>].=20
In our study, the normalized Cho failed significance level for malignant =

transformation (<I>p</I>&#8201;=3D&#8201;0.07); however, there was a =
trend toward earlier=20
malignant transformation for higher Cho values including the =
Cho<SUB>max</SUB>=20
values. </P>
<P class=3D"">It has to be considered that the differentiation between =
tumor=20
progression with or without malignant transformation is limited because=20
interobserver variability and other sources of errors like tumor =
heterogeneity=20
and variability of contrast enhancement have to be considered. The same =
is true=20
for the grading of gliomas. Therefore, choline might be a good indicator =
for=20
tumor progression and survival when all grades of gliomas are =
considered.=20
Regarding the subgroup of grade II gliomas, normalized tCr might be a =
more=20
reliable indicator for progression-free survival. Considering the =
limitations of=20
correct tumor grading, both metabolites complement each other as =
predictive=20
values for patients with gliomas. </P>
<P class=3D"">Besides the spectroscopic data, there were only two other=20
significant prognostic parameters in the presented study: the CE =
enhancement of=20
WHO grade II gliomas at the time of diagnosis in predicting the endpoint =
of=20
malignant transformation and the extent of tumor resection in predicting =
the=20
endpoint tumor progression. Grade II gliomas might enhance to a =
considerable=20
degree [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR27">27</A></CITE>,=20
<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR28">28</A></CITE>].=20
The prognostic value on survival regarding CM enhancement of the gliomas =
is=20
controversial [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR28">28</A></CITE>=96<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR30">30</A></CITE>].=20
The quantitative method for analyzing CM enhancement in WHO grade II =
gliomas=20
shows a clear difference between tumors with and without progression =
[<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR30">30</A></CITE>].=20
Concordant with our data, the grade of tumor resection in LGGs turned =
out as=20
important predictive factor for the prognosis in previous studies =
[<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR6">6</A></CITE>,=20
<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR31">31</A></CITE>=96<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR6">34</A></CITE>].=20
</P>
<P class=3D"">In contrast to previous studies, especially in contrast to =
trials=20
from the European Organization for Research and Treatment of Cancer =
Radiotherapy=20
Cooperative Group, patient=92s age, neurological symptoms, and =
histopathological=20
type of LGG failed to be significant to predict the prognosis of the =
patients=20
with LGG [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR6">6</A></CITE>,=20
<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR29">29</A></CITE>,=20
<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR35">35</A></CITE>=96<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR40">40</A></CITE>].=20
Different reasons for the discrepancies between the multicenter studies =
and our=20
collective might be their higher patient numbers, longer follow-up =
times, and=20
their higher statistical power for LGGs with oligodendroglial =
components.=20
Further, most of the patients in the multicenter trials received =
postoperative=20
adjuvant therapy (radiation/chemotherapy), and postoperative tumor =
imaging was=20
not mandatory. </P>
<DIV class=3D""><A name=3DSec14></A>
<DIV class=3DHeading3>Limitations of the study</DIV>
<P class=3D"">High percentage of our patients had gliomas in eloquent =
brain areas,=20
and therefore, they underwent tumor biopsy instead of tumor resection. =
Even=20
though total tumor resection was the first aim of surgical therapy, =
eloquent=20
localization and/or large size of the low-grade gliomas indicated a more =

conservative procedure in order to prevent neurological deficits. Apart =
from the=20
larger remaining tumor volume, tumor biopsy might implicate sampling =
errors and=20
the intrinsic heterogeneity of cerebral gliomas may confound =
histopathological=20
diagnoses that are made on the basis of small biopsy specimens. These =
facts=20
might also explain the short progression-free survival of our patient =
group=20
compared to others [<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR40">40</A></CITE>].=20
</P>
<P class=3D"">Further, two different methods were employed for the =
spectroscopic=20
measurements with a change from SVS at 1.5&nbsp;T to MRSI at 3&nbsp;T. =
However,=20
metabolite concentrations from the tumor were normalized for each =
patient using=20
values from normal appearing contralateral white matter area that =
corresponded=20
anatomically to the tumor area. This method calibrates the metabolite=20
concentrations to an internal reference minimizing the influence of =
different=20
spectroscopic parameters, different brain areas, and individuals =
[<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR41">41</A></CITE>].=20
The use of this method of normalization is validated by a previous study =

[<CITE><A=20
href=3D"http://www.springerlink.com/content/2288165762t443qx/fulltext.htm=
l#CR5">5</A></CITE>].=20
</P></DIV></DIV>
<DIV class=3D""><A name=3DSec15></A>
<HR>

<DIV class=3Dheading2>Conclusion</DIV>
<P class=3D"">Normalized tCr of the WHO grade II gliomas proved to be a=20
significant prognostic factor concerning progression-free survival and =
for the=20
time until these LGGs show malignant transformation. WHO grade II =
gliomas with=20
decreased tCr showed longer time intervals until the gliomas progressed. =

Contrast enhancement of the WHO grade II gliomas at time of diagnosis =
was the=20
second significant factor correlating positively with the malignant=20
transformation of these LGGs. The grade of tumor resection correlated=20
significantly with tumor progression, but not with the malignant =
transformation.=20
Thus, normalized tCr may be an important prognostic predictor for =
untreated WHO=20
grade II gliomas, implicating that the group without decreased values =
might=20
profit from more aggressive therapeutic strategies. Considering that =
choline=20
might be a good indicator for tumor progression and survival with regard =
to all=20
grades of gliomas, both metabolites complement each other as predictive =
values=20
for patients with gliomas. </P></DIV>
<DIV class=3DAcknowledgments>
<DIV class=3DFormalPara>
<DIV class=3D""><SPAN style=3D"FONT-STYLE: italic; TEXT-DECORATION: =
none">Conflict=20
of interest statement</SPAN>&nbsp;&nbsp; The authors declare that they =
have no=20
conflict of interest. </DIV></DIV></DIV>
<P></P>
<HR>

<H2><A name=3DBib1></A>References </H2>
<TABLE>
  <TBODY class=3DCitation>
  <TR vAlign=3Dtop>
    <TD>1.</TD>
    <TD><A name=3DCR1></A>Karim AB, Afra D, Cornu P, Bleehan N, Schraub =
S, De=20
      Witte O, Darcel F, Stenning S, Pierart M, Van Glabbeke M (2002) =
Randomized=20
      trial on the efficacy of radiotherapy for cerebral low-grade =
glioma in the=20
      adult: European Organization for Research and Treatment of Cancer =
Study=20
      22845 with the Medical Research Council study BRO4: an interim =
analysis.=20
      Int J Radiat Oncol Biol Phys 52:316=96324<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D11872276"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>2.</TD>
    <TD><A name=3DCR2></A>Shimizu H, Kumabe T, Tominaga T, Kayama T, =
Hara K, Ono=20
      Y, Sato K, Arai N, Fujiwara S, Yoshimoto T (1996) Noninvasive =
evaluation=20
      of malignancy of brain tumors with proton MR spectroscopy. AJNR Am =
J=20
      Neuroradiol 17:737=96747<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D8730195"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
ABymB1c%252FitFM%253D&amp;md5=3Da5a12c9c948212870a9edddc212b588f"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>3.</TD>
    <TD><A name=3DCR3></A>Kuznetsov YE, Caramanos Z, Antel SB, Preul MC, =
Leblanc=20
      R, Villemure JG, Pokrupa R, Olivier A, Sadikot A, Arnold DL (2003) =
Proton=20
      magnetic resonance spectroscopic imaging can predict length of =
survival in=20
      patients with supratentorial gliomas. Neurosurgery =
53:565=96574<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D12943573"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1227/01.NEU.0000079331.21178.8E"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>4.</TD>
    <TD><A name=3DCR4></A>Reijneveld JC, van der Grond J, Ramos LM, =
Bromberg JE,=20
      Taphoorn M (2005) Proton MRS imaging in the follow-up of patients =
with=20
      suspected low-grade gliomas. Neuroradiology 47:887=96891<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D16133483"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1007/s00234-005-1435-z" =
target=3D_blank><IMG=20
      height=3D20 alt=3DSpringerLink=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/springer_link=
.gif"=20
      width=3D108 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
ADC%252BD2MnjvVOnsQ%253D%253D&amp;md5=3D455bb664376f84fcbc1addf7b719b9be"=
=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>5.</TD>
    <TD><A name=3DCR5></A>Tedeschi G, Lundbom N, Raman R, Bonavita S, =
Duyn JH,=20
      Alger JR, Di Chiro G (1997) Increased choline signal coinciding =
with=20
      malignant degeneration of cerebral gliomas: a serial proton =
magnetic=20
      resonance spectroscopy imaging study. J Neurosurg =
87:516=96524<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D9322842"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
AByiH283mtFE%253D&amp;md5=3D7016da0f9e6290c962026aa5e5ef5a6d"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>6.</TD>
    <TD><A name=3DCR6></A>Pignatti F, van den Bent M, Curran D, Debruyne =
C,=20
      Sylvester R, Therasse P, Afra D, Cornu P, Bolla M, Vecht C, Karim =
AB,=20
      European Organization for Research and Treatment of Cancer Brain =
Tumor=20
      Cooperative Group; European Organization for Research and =
Treatment of=20
      Cancer Brain Tumor Cooperative Group and Cancer Radiotherapy =
Cooperative=20
      Group (2002). Prognostic factors for survival in adult patients =
with=20
      cerebral low-grade glioma. J Clin Oncol 20:2076=962084<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D11956268"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A =
href=3D"http://dx.doi.org/10.1200/JCO.2002.08.121"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>7.</TD>
    <TD><A name=3DCR7></A>Murphy PS, Leach MO, Rowland IJ (1999) Signal=20
      modulation in (1)H magnetic resonance spectroscopy using contrast =
agents:=20
      proton relaxivities of choline, creatine, and =
<I>N</I>-acetylaspartate.=20
      Magn Reson Med 42:1155=961188<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D10571938"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://dx.doi.org/10.1002/(SICI)1522-2594(199912)42:6%3C1155::AID=
-MRM21%3E3.0.CO;2-N"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ACAS%3A528%3=
ADC%252BD3cXhsVWlsg%253D%253D&amp;md5=3Df5de52d4f3b541b76d10fa4db91d94c9"=
=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>8.</TD>
    <TD><A name=3DCR8></A>Hattingen E, Raab P, Franz K, Zanella FE, =
Lanfermann=20
      H, Pilatus U (2008) Myo-inositol: a marker of reactive =
astrogliosis in=20
      glial tumors. NMR Biomed 21:233=96241<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D17562554"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A =
href=3D"http://dx.doi.org/10.1002/nbm.1186"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ACAS%3A528%3=
ADC%252BD1cXmtFSgs7c%253D&amp;md5=3Dcf3e31fd9d8801383017005ccaa67a0d"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>9.</TD>
    <TD><A name=3DCR9></A>Provencher SW (1993) Estimation of metabolite=20
      concentrations from localized in vivo proton NMR spectra. Magn =
Reson Med=20
      30:672=96679<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D8139448"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A =
href=3D"http://dx.doi.org/10.1002/mrm.1910300604"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ACAS%3A528%3=
ADyaK2cXis1Gjtr0%253D&amp;md5=3D1dc702870de03eef217fddb873035760"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>10.</TD>
    <TD><A name=3DCR10></A>Michaelis T, Merboldt K, Bruhn H, H=E4nicke =
W, Frahm J=20
      (1993) Absolute concentrations of metabolites in the adult human =
brain in=20
      vivo: quantification of localized proton MR spectra. Radiology=20
      187:219=96227<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D8451417"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
AByyC1MjltFQ%253D&amp;md5=3Df535ec89a5533446ac68ee1b10871d97"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>11.</TD>
    <TD><A name=3DCR11></A>Li BS, Wang H, Gonen O (2003) Metabolite =
ratios to=20
      assumed stable creatine level may confound the quantification of =
proton=20
      brain MR spectroscopy. Magn Reson Imaging. 21:923=96928<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D14599543"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1016/S0730-725X(03)00181-4" =
target=3D_blank><IMG=20
      height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ACAS%3A528%3=
ADC%252BD3sXos1Oltr8%253D&amp;md5=3Df88d769871774d940443beffa5716600"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>12.</TD>
    <TD><A name=3DCR12></A>Li X, Lu Y, Pirzkall A, McKnight T, Nelson SJ =
(2002)=20
      Analysis of the spatial characteristics of metabolic abnormalities =
in=20
      newly diagnosed glioma patients. J Magn Reson Imaging =
16:229=96237<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D12205577"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A =
href=3D"http://dx.doi.org/10.1002/jmri.10147"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>13.</TD>
    <TD><A name=3DCR13></A>Galanaud D, Chinot O, Nicoli F, Confort-Gouny =
S, Le=20
      Fur Y, Barrie-Attarian M, Ranjeva JP, Fuent=E8s S, Viout P,=20
      Figarella-Branger D, Cozzone PJ (2003) Use of proton magnetic =
resonance=20
      spectroscopy of the brain to differentiate gliomatosis cerebri =
from=20
      low-grade glioma. J Neurosurg 98:269=96276<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D12593610"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>14.</TD>
    <TD><A name=3DCR14></A>Panigrahy A, Krieger MD, Gonzalez-Gomez I, =
Liu X,=20
      McComb JG, Finlay JL, Nelson MD Jr, Gilles FH, Bl=FCml S (2006) =
Quantitative=20
      short echo time 1H-MR spectroscopy of untreated pediatric brain =
tumors:=20
      preoperative diagnosis and characterization. AJNR Am J Neuroradiol =

      27:560=96572<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D16551993"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
ADC%252BD287nsVymtA%253D%253D&amp;md5=3D705966da21abeadc12bcef0e53e7bce7"=
=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>15.</TD>
    <TD><A name=3DCR15></A>Urenjak J, Williams SR, Gadian DG, Noble M =
(1993)=20
      Proton nuclear magnetic resonance spectroscopy unambiguously =
identifies=20
      different neural cell types. J Neurosci 13:981=96989<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D8441018"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ACAS%3A528%3=
ADyaK3sXisFSru7g%253D&amp;md5=3Dfe2ea7004dd495bbe088f8bc8fa48c29"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>16.</TD>
    <TD><A name=3DCR16></A>Dringen R, Verleysdonk S, Hamprecht B, =
Willker W,=20
      Leibfritz D, Brand A (1998) Metabolism of glycine in primary =
astroglial=20
      cells: synthesis of creatine, serine, and glutathione. J Neurochem =

      70:835=96840<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D9453580"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ACAS%3A528%3=
ADyaK1cXmtFejsQ%253D%253D&amp;md5=3D8036fc3a0051ed90a5d5899c9d4b2406"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>17.</TD>
    <TD><A name=3DCR17></A>Kinoshita Y, Kajiwara H, Yokota A, Koga Y =
(1994)=20
      Proton magnetic resonance spectroscopy of brain tumors: an in =
vitro study.=20
      Neurosurgery 35:606=96613<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D7808603"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1097/00006123-199410000-00005"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
AByqC3cjksl0%253D&amp;md5=3D9161159ffd7e46ded00e449d43c9c33b"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>18.</TD>
    <TD><A name=3DCR18></A>Gillies RJ, Barry JA, Ross BD (1994) In vitro =
and in=20
      vivo 13C and 31P NMR analyses of phosphocholine metabolism in rat =
glioma=20
      cells. Magn Reson Med 32:310=96308<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D7984063"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A =
href=3D"http://dx.doi.org/10.1002/mrm.1910320306"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ACAS%3A528%3=
ADyaK2cXmvFyju7o%253D&amp;md5=3D9ed50b6a87de4f0e9d55179418209025"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>19.</TD>
    <TD><A name=3DCR19></A>Shimizu H, Kumabe T, Shirane R, Yoshimoto T =
(2000)=20
      Correlation between choline level measured by proton MR =
spectroscopy and=20
      Ki-67 labeling index in gliomas. AJNR Am J Neuroradiol =
21:659=96665<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D10782774"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
ADC%252BD3c3kt1ylug%253D%253D&amp;md5=3D990f658e4cfdc33676acbdf470188286"=
=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>20.</TD>
    <TD><A name=3DCR20></A>Herminghaus S, Pilatus U, Moller-Hartmann W, =
Raab P,=20
      Lanfermann H, Schlote W, Zanella FE (2002) Increased choline =
levels=20
      coincide with enhanced proliferative activity of human =
neuroepithelial=20
      brain tumors. NMR Biomed 15:385=96392<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D12357552"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A =
href=3D"http://dx.doi.org/10.1002/nbm.793"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ACAS%3A528%3=
ADC%252BD38Xot1Gntr4%253D&amp;md5=3Da04826e1d12cf0aff7732326aa6450a8"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>21.</TD>
    <TD><A name=3DCR21></A>Ackerstaff E, Pflug BR, Nelson JB, Bhujwalla =
ZM=20
      (2001) Detection of increased choline compounds with proton =
nuclear=20
      magnetic resonance spectroscopy subsequent to malignant =
transformation of=20
      human prostatic epithelial cells. Cancer Res 61:3599=963603<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D11325827"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ACAS%3A528%3=
ADC%252BD3MXjsFCgtLY%253D&amp;md5=3D2cebc865cae259c7159d71a9f8f758cd"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>22.</TD>
    <TD><A name=3DCR22></A>Miller BL, Chang L, Booth R, Ernst T, =
Cornford M,=20
      Nikas D, McBride D, Jenden DJ (1996) In vivo 1H MRS choline: =
correlation=20
      with in vitro chemistry/histology. Life Sci 58:1929=961935<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D8637421"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1016/0024-3205(96)00182-8" =
target=3D_blank><IMG=20
      height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ACAS%3A528%3=
ADyaK28XivVKntb0%253D&amp;md5=3Db0225345235ce7aef835bc603e4ba0b4"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>23.</TD>
    <TD><A name=3DCR23></A>Gupta RK, Cloughesy TF, Sinha U, Garakian J, =
Lazareff=20
      J, Rubino G, Rubino L, Becker DP, Vinters HV, Alger JR (2000)=20
      Relationships between choline magnetic resonance spectroscopy, =
apparent=20
      diffusion coefficient and quantitative histopathology in human =
glioma. J=20
      Neurooncol 50:215=96226<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D11263501"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A =
href=3D"http://dx.doi.org/10.1023/A:1006431120031"=20
      target=3D_blank><IMG height=3D20 alt=3DSpringerLink=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/springer_link=
.gif"=20
      width=3D108 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
ADC%252BD3M7mtlOhtw%253D%253D&amp;md5=3D4f382027d8981ef6d0f538f7db55b0f2"=
=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>24.</TD>
    <TD><A name=3DCR24></A>Zhang K, Li C, Liu Y, Li L, Ma X, Meng X, =
Feng D=20
      (2007) Evaluation of invasiveness of astrocytoma using 1H-magnetic =

      resonance spectroscopy: correlation with expression of matrix=20
      metalloproteinase-2. Neuroradiology 49:913=96919<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D17763847"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1007/s00234-007-0271-8" =
target=3D_blank><IMG=20
      height=3D20 alt=3DSpringerLink=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/springer_link=
.gif"=20
      width=3D108 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>25.</TD>
    <TD><A name=3DCR25></A>Di Costanzo A, Scarabino T, Trojsi F, =
Giannatempo GM,=20
      Popolizio T, Catapano D, Bonavita S, Maggialetti N, Tosetti M, =
Salvolini=20
      U, d=92Angelo VA, Tedeschi G (2006) Multiparametric 3T MR approach =
to the=20
      assessment of cerebral gliomas: tumor extent and malignancy.=20
      Neuroradiology 48:622=96631<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D16752135"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1007/s00234-006-0102-3" =
target=3D_blank><IMG=20
      height=3D20 alt=3DSpringerLink=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/springer_link=
.gif"=20
      width=3D108 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>26.</TD>
    <TD><A name=3DCR26></A>M=F6ller-Hartmann W, Herminghaus S, Krings T, =
Marquardt=20
      G, Lanfermann H, Pilatus U, Zanella FE (2002) Clinical application =
of=20
      proton magnetic resonance spectroscopy in the diagnosis of =
intracranial=20
      mass lesions. Neuroradiology 44:371=96381<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D12012120"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1007/s00234-001-0760-0" =
target=3D_blank><IMG=20
      height=3D20 alt=3DSpringerLink=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/springer_link=
.gif"=20
      width=3D108 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>27.</TD>
    <TD><A name=3DCR27></A>Lev MH, Ozsunar Y, Henson JW, Rasheed AA, =
Barest GD,=20
      Harsh GR 4th, Fitzek MM, Chiocca EA, Rabinov JD, Csavoy AN, Rosen =
BR,=20
      Hochberg FH, Schaefer PW, Gonzalez RG (2004) Glial tumor grading =
and=20
      outcome prediction using dynamic spin-echo MR susceptibility =
mapping=20
      compared with conventional contrast-enhanced MR: confounding =
effect of=20
      elevated rCBV of oligodendrogliomas. AJNR Am J Neuroradiol=20
      25:214=96221<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D14970020"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>28.</TD>
    <TD><A name=3DCR28></A>White ML, Zhang Y, Kirby P, Ryken TC (2005) =
Can tumor=20
      contrast enhancement be used as a criterion for differentiating =
tumor=20
      grades of oligodendrogliomas. AJNR Am J Neuroradiol =
26:784=96790<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D15814921"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>29.</TD>
    <TD><A name=3DCR29></A>Shaw E, Arusell R, Scheithauer B, O'Fallon J, =
O'Neill=20
      B, Dinapoli R, Nelson D, Earle J, Jones C, Cascino T, Nichols D, =
Ivnik R,=20
      Hellman R, Curran W, Abrams R (2002) Prospective randomized trial =
of low-=20
      versus high-dose radiation therapy in adults with supratentorial =
low-grade=20
      glioma: initial report of a North Central Cancer Treatment =
Group/Radiation=20
      Therapy Oncology Group/Eastern Cooperative Oncology Group study. J =
Clin=20
      Oncol 20:2267=962276<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D11980997"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A =
href=3D"http://dx.doi.org/10.1200/JCO.2002.09.126"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
ADC%252BD383ktlektg%253D%253D&amp;md5=3D094f7feacec8969dbfcde92e816d72ac"=
=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>30.</TD>
    <TD><A name=3DCR30></A>Tofts PS, Benton CE, Weil RS, Tozer DJ, =
Altmann DR,=20
      J=E4ger HR, Waldman AD, Rees JH (2007) Quantitative analysis of =
whole-tumor=20
      Gd enhancement histograms predicts malignant transformation in =
low-grade=20
      gliomas. J Magn Reson Imaging 25:208=96214<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D17139631"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A =
href=3D"http://dx.doi.org/10.1002/jmri.20800"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>31.</TD>
    <TD><A name=3DCR31></A>Karim AB, Maat B, Hatlevoll R, Menten J, =
Rutten EH,=20
      Thomas DG, Mascarenhas F, Horiot JC, Parvinen LM, van Reijn M, =
Jager JJ,=20
      Fabrini MG, van Alphen AM, Hamers HP, Gaspar L, Noordman E, =
Pierart M, van=20
      Glabbeke M (1996) A randomized trial on dose-response in radiation =
therapy=20
      of low-grade cerebral glioma: European Organization for Research =
and=20
      Treatment of Cancer (EORTC) Study 22844. Int J Radiat Oncol Biol =
Phys=20
      36:549=96556<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D8948338"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
AByiC3cvhvVQ%253D&amp;md5=3De986df815277c409dff54d4b96d0f964"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>32.</TD>
    <TD><A name=3DCR32></A>Lote K, Egeland T, Hager B, Stenwig B, =
Skullerud K,=20
      Berg-Johnsen J, Storm-Mathisen I, Hirschberg H (1997) Survival, =
prognostic=20
      factors, and therapeutic efficacy in low-grade glioma: a =
retrospective=20
      study in 379 patients. J Clin Oncol 15:3129=963140<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D9294476"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
AByiH2c%252Fhs1w%253D&amp;md5=3D5ce9ebc21d4e34b456a076dbe95654c7"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>33.</TD>
    <TD><A name=3DCR33></A>Scerrati M, Roselli R, Iacoangeli M, Pompucci =
A,=20
      Rossi GF (1996) Prognostic factors in low grade (WHO grade II) =
gliomas of=20
      the cerebral hemispheres: the role of surgery. J Neurol Neurosurg=20
      Psychiatry 61:291=96296<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D8795601"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
ABymA1cfitVQ%253D&amp;md5=3D2849490a112519e798765d10d67748d7"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>34.</TD>
    <TD><A name=3DCR34></A>Berger MS, Deliganis AV, Dobbins J, Keles GE =
(1994)=20
      The effect of extent of resection on recurrence in patients with =
low grade=20
      cerebral hemisphere gliomas. Cancer 74:1784=961791<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D8082081"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://dx.doi.org/10.1002/1097-0142(19940915)74:6%3C1784::AID-CNC=
R2820740622%3E3.0.CO;2-D"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
AByuA28zmtlw%253D&amp;md5=3De0302cffcc4f800e5e75d057c3380c06"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>35.</TD>
    <TD><A name=3DCR35></A>Eyre HJ, Crowley JJ, Townsend JJ, Eltringham =
JR,=20
      Morantz RA, Schulman SF, Quagliana JM, al-Sarraf M (1993) A =
randomized=20
      trial of radiotherapy versus radiotherapy plus CCNU for =
incompletely=20
      resected low-grade gliomas: a Southwest Oncology Group study. J =
Neurosurg=20
      78:909=96914<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D8487073"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
AByyB2Mzks1Q%253D&amp;md5=3D8f403d18b5cc184bdd4ba0965b9b7711"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>36.</TD>
    <TD><A name=3DCR36></A>Soffietti R, Chio A, Giordana MT, Vasario E, =
Schiffer=20
      D (1989) Prognostic factors in well-differentiated cerebral =
astrocytomas=20
      in the adult. Neurosurgery 24:686=96692<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D2716976"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1097/00006123-198905000-00005"=20
      target=3D_blank><IMG height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
ABiaB3sfptVQ%253D&amp;md5=3Dcea1ba7b1592487dcb21551ee98af1e6"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>37.</TD>
    <TD><A name=3DCR37></A>Van Veelen ML, Avezaat CJ, Kros JM, van =
Putten W,=20
      Kros JM (1998) Supratentorial low grade astrocytoma: prognostic =
factors,=20
      dedifferentiation, and the issue of early versus late surgery. J =
Neurol=20
      Neurosurg Psychiatry 64:581=96587<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D9598670"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>38.</TD>
    <TD><A name=3DCR38></A>Shaw EG, Scheithauer BW, O'Fallon JR (1997)=20
      Supratentorial gliomas: a comparative study by grade and =
histologic type.=20
      J Neurooncol 31:273=96278<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D9049856"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A =
href=3D"http://dx.doi.org/10.1023/A:1005715703598"=20
      target=3D_blank><IMG height=3D20 alt=3DSpringerLink=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/springer_link=
.gif"=20
      width=3D108 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
AByiB3c3jt10%253D&amp;md5=3D0d4862a712cf275c6e3ae722d4441975"=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>39.</TD>
    <TD><A name=3DCR39></A>Okamoto Y, Di Patre PL, Burkhard C, Horstmann =
S,=20
      Jourde B, Fahey M, Sch=FCler D, Probst-Hensch NM, Yasargil MG, =
Yonekawa Y,=20
      L=FCtolf UM, Kleihues P, Ohgaki H (2004) Population-based study on =

      incidence, survival rates, and genetic alterations of low-grade =
diffuse=20
      astrocytomas and oligodendrogliomas. Acta Neuropathol =
108:49=9656<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D15118874"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1007/s00401-004-0861-z" =
target=3D_blank><IMG=20
      height=3D20 alt=3DSpringerLink=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/springer_link=
.gif"=20
      width=3D108 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>40.</TD>
    <TD><A name=3DCR40></A>Van den Bent MJ, Afra D, de Witte O, Ben =
Hassel M,=20
      Schraub S, Hoang-Xuan K, Malmstr=F6m PO, Collette L, Pi=E9rart M, =
Mirimanoff=20
      R, Karim AB, EORTC Radiotherapy and Brain Tumor Groups and the UK =
Medical=20
      Research Council (2005) Long-term efficacy of early versus delayed =

      radiotherapy for low-grade astrocytomas and oligodendroglioma in =
adults:=20
      the EORTC 22845 randomised trial. Lancet 366:985=96990<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D16168780"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1016/S0140-6736(05)67070-5" =
target=3D_blank><IMG=20
      height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
    <TD>&nbsp;</TD></TR>
  <TR vAlign=3Dtop>
    <TD>41.</TD>
    <TD><A name=3DCR41></A>Wiedermann D, Schuff N, Matson GB, Soher BJ, =
Du AT,=20
      Maudsley AA, Weiner MW (2001) Short echo time multislice proton =
magnetic=20
      resonance spectroscopic imaging in human brain: metabolite =
distributions=20
      and reliability. Magn Reson Imaging 19:1073=961080<BR><A=20
      =
href=3D"http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=3DRetrieve&amp;=
db=3DPubMed&amp;dopt=3DAbstract&amp;list_uids=3D11711231"=20
      target=3D_blank><IMG height=3D20 alt=3DPubMed=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/pubmed_link.g=
if"=20
      width=3D65 border=3D0></A> <A=20
      href=3D"http://dx.doi.org/10.1016/S0730-725X(01)00441-6" =
target=3D_blank><IMG=20
      height=3D20 alt=3DCrossRef=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/crossref_link=
.gif"=20
      width=3D65 border=3D0></A> <A=20
      =
href=3D"http://chemport.cas.org/cgi-bin/sdcgi?APP=3Dftslink&amp;action=3D=
reflink&amp;origin=3Dspringer&amp;version=3D1.0&amp;coi=3D1%3ASTN%3A280%3=
ADC%252BD3Mnms1Snsw%253D%253D&amp;md5=3D233cf1ddcee0f80b2378cfee8b9d281b"=
=20
      target=3D_blank><IMG height=3D20 alt=3DChemPort=20
      =
src=3D"http://www.springerlink.com/content/2288165762t443qx/chemport_link=
.gif"=20
      width=3D65 border=3D0></A> </TD></TR>
  <TR>
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