NI-13 PREDICTION OF PROGNOSIS IN NEWLY DIAGNOSED GLIOBLASTOMA USING MACHINE LEARNING-BASED TEXTURE ANALYSIS OF PREOPERATIVE MRI

INTRODUCTION: Preoperative magnetic resonance imaging (MRI) is a critical modality for the determination of glioblastoma (GBM) treatment strategy, as it is thought to reflect the biology of the tumor to some extent. The authors attempted to predict prognosis of newly diagnosed GBM (nGBM) using machi...

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Udgivet i:Neurooncol Adv
Main Authors: Umehara, Toru, Kinoshita, Manabu, Sasaki, Takahiro, Arita, Hideyuki, Yoshioka, Ema, Shofuda, Tomoko, Hirayama, Ryuichi, Kijima, Noriyuki, Kagawa, Naoki, Okita, Yoshiko, Uda, Takehiro, Fukai, Junnya, Mori, Kanji, Kishima, Haruhiko, Kanemura, Yonehiro
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2019
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Abstracts
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7213118/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/noajnl/vdz039.125
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