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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213118/
http://dx.doi.org/10.1093/noajnl/vdz039.125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7213118/
http://dx.doi.org/10.1093/noajnl/vdz039.125

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