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Gliomas | Diagnosis | Differentiation
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Moltoni G, Romano A, Capriotti G, Campagna G, Ascolese AM, Romano
A, Dellepiane F, Minniti G, Signore A, Bozzao A.
ASL,
DSC, DCE perfusion MRI and 18F-DOPA PET/CT in differentiating
glioma recurrence from post-treatment changes.
Radiol
Med. 2024 Aug 8. doi:
10.1007/s11547-024-01862-3. PMID:
39117936. Observational study. ˍ
Wu X, Zhang M, Jiang Q, Li M, Wu Y.
Diagnostic
accuracy of magnetic resonance diffusion tensor imaging in
distinguishing pseudoprogression from glioma recurrence: a
systematic review and meta-analysis.
Expert
Rev Anticancer Ther. 2024 Oct 14;24(11):1177-1185. doi:
10.1080/14737140.2024.2415404. PMID:
39400036. Review; Meta-analysis˰
ˍ
Amide proton transfer-weighted (APTw) MRI
Karimian-Jazi K, Enbergs N, Golubtsov E, Schregel K, Ungermann J,
Fels-Palesandro H, Schwarz D, Sturm V, Kernbach JM, Batra D, Ippen
FM, Pflüger I, von Knebel Doeberitz N, Heiland S, Bunse L,
Platten M, Winkler F, Wick W, Paech D, Bendszus M, Breckwoldt MO.
Differentiating Glioma Recurrence and
Pseudoprogression by APTw CEST MRI.
Invest
Radiol. 2024 Dec 9. doi:
10.1097/RLI.0000000000001145. PMID:
39644107. Interventional study˰
ˍ
Combination of MRI characteristics with IDH mutation status
Ganesan G, Rangasami R, Chandrasekharan A, Marreddy S,
Ramachandran R.
Role of Advanced
Magnetic Resonance Imaging in Differentiating among Glioma
Subtypes and Predicting Tumor-Proliferative Behavior.
Asian
J Neurosurg. 2024 Oct 15;20(1):34-42. doi:
10.1055/s-0044-1790508. PMID:
40041591. Observational study. ˍ
Ying YZ, Cai XH, Yang H, Huang HW, Zheng D, Li HY, Dong GH, Wang
YG, Jiang ZL, An ZL, Zhang GB.
Development
and validation of a deep learning algorithm for discriminating
glioma recurrence from radiation necrosis on MRI.
Front
Oncol. 2025 Jun 6;15:1573700. doi:
10.3389/fonc.2025.1573700. PMID:
40548110. Observational
study. ˍ