Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma

Imaging assessment of an immunotherapy response in glioblastoma is challenging due to overlap in the appearance of treatment-related changes with tumor progression. Our purpose was to determine whether MR imaging radiomics-based machine learning can predict progression-free survival and overall surv...

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Veröffentlicht in:	American journal of neuroradiology : AJNR 2022-05, Vol.43 (5), p.675-681
Hauptverfasser:	George, E, Flagg, E, Chang, K, Bai, H X, Aerts, H J, Vallières, M, Reardon, D A, Huang, R Y
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Brain B7-H1 Antigen Female Functional Glioblastoma - diagnostic imaging Glioblastoma - drug therapy Humans Immunotherapy Machine Learning Magnetic Resonance Imaging - methods Male Middle Aged Retrospective Studies
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