Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07)

Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07)

Some patients with glioblastoma show a worsening presentation in imaging after concurrent chemoradiation, even when they receive gross total resection. Previously, we showed the feasibility of a machine learning model to predict pseudoprogression (PsPD) versus progressive disease (PD) in glioblastom...

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Bibliographic Details
Main Authors: Bum-Sup Jang, Andrew J. Park, Seung Hyuck Jeon, Il Han Kim, Do Hoon Lim, Shin-Hyung Park, Ju Hye Lee, Ji Hyun Chang, Kwan Ho Cho, Jin Hee Kim, Leonard Sunwoo, Seung Hong Choi, In Ah Kim
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Cancers
Subjects:
machine learning
glioblastoma
radiotherapy
pseudoprogression
Online Access:https://www.mdpi.com/2072-6694/12/9/2706

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https://www.mdpi.com/2072-6694/12/9/2706

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