Increasing FLAIR signal intensity in the postoperative cavity predicts progression in gross-total resected high-grade gliomas
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Clinical Neurology,Neurology,Oncology
Link
http://link.springer.com/article/10.1007/s11060-018-2758-z/fulltext.html
Reference33 articles.
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3. Chang PD, Chow DS, Yang PH, Filippi CG, Lignelli A (2017) Predicting glioblastoma recurrence by early changes in the apparent diffusion coefficient value and signal intensity on FLAIR images. AJR Am J Roentgenol 208:57–65
4. Roldan-Valadez E, Rios C, Motola-Kuba D, Matus-Santos J, Villa AR, Moreno-Jimenez S (2016) Choline-to-N-acetyl aspartate and lipids-lactate-to-creatine ratios together with age assemble a significant Cox’s proportional-hazards regression model for prediction of survival in high-grade gliomas. Br J Radiol 89(1067):20150502
5. Kolakshyapati M, Adhikari RB, Karlowee V et al (2017) Nonenhancing peritumoral hyperintense lesions on diffusion-weighted imaging in glioblastoma; a novel diagnostic and specific prognostic indicator. J Neurosurg 31:1–12
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1. Relative T2-FLAIR signal intensity surrounding residual cavity is associated with survival prognosis in patients with lower-grade gliomas;Frontiers in Oncology;2022-09-15
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