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Glioblastoma | Prognosis | Magnetic Resonance Imaging
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Chida D, Okita Y, Utsugi R, Kuroda H, Hirayama R, Kijima N,
Arisawa A, Kagawa N, Kanemura Y, Yoshimura S, Tomiyama N, Kishima
H.
Dynamic susceptibility
contrast‑enhanced perfusion magnetic resonance imaging
parameters for predicting MGMT
promoter methylation and prognostic value in newly diagnosed
patients with glioblastoma.
Oncol
Lett. 2024 Oct 14;28(6):610. doi:
10.3892/ol.2024.14741. PMID:
39493435. Observational study. ˍ
Cozzi FM, Mayrand RC, Wan Y, Price SJ.
Predicting
glioblastoma progression using MR diffusion tensor imaging: A
systematic review.
J
Neuroimaging. 2024 Dec 9;35(1):e13251. doi:
10.1111/jon.13251. PMID:
39648937. Review. ˍ
Henriksen OM, Muhic A, Lundemann MJ, Larsson HBW, Lindberg U,
Andersen TL, Hasselbalch B, Møller S, Marner L, Madsen K,
Larsen VA, Poulsen HS, Hansen AE, Law I.
Added
prognostic value of DCE blood volume imaging in patients with
suspected recurrent or residual glioblastoma-A hybrid [18F]FET
PET/MRI study.
Neurooncol
Adv. 2024 Nov 18;6(1):vdae196. doi:
10.1093/noajnl/vdae196. PMID:
39664680. Observational study. ˍ
Moore-Palhares D, Lawrence LS, Myrehaug S, Stewart J, Detsky J,
Tseng CL, Chen H, Dinakaran D, Maralani P, Ruschin M, Zhang B,
Perry J, Lim-Fat MJ, Sahgal A, Soliman H, Lau AZ.
Temporal
Apparent Diffusion Coefficient (ADC) Changes During
Chemoradiation: An Imaging Biomarker for Tumour Response
Monitoring and Spatial Recurrence Prediction in Glioblastoma.
Int
J Radiat Oncol Biol Phys. 2025 Mar
26:S0360-3016(25)00260-3. doi:
10.1016/j.ijrobp.2025.03.028. PMID:
40154848.
Observational study˰ ˍ
van der Weijden CWJ, Jeltema HR, Wagemakers M, Enting RH,
Stormezand G, Kramer MCA, van Dijken BRJ, van der Hoorn A.
Impact
on survival of glioblastoma patient's in relation to the imaging
of the peri-surgical area: a multi-parametric diffusion MRI,
perfusion MRI and [11C]MET PET study.
Br
J Radiol. 2026 May 20:tqag117. doi:
10.1093/bjr/tqag117. PMID:
42162948. ˍ