Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival

2019109 citationsJournal Articlegold Open Access

Authors

Olivier Morin · University of California, San Francisco

William Chen · University of California, San Francisco

Farshad Nassiri · University of Toronto

Matthew Susko · University of California, San Francisco

Stephen T. Magill · University of California, San Francisco

Harish N. Vasudevan · University of California, San Francisco

Ashley Wu

Abstract

Preoperative radiologic and radiomic features such as apparent diffusion coefficient and sphericity can predict tumor grade, LF, and OS in patients with meningioma.

Topics & Keywords

Meningioma and schwannoma management Neurofibromatosis and Schwannoma Cases Adrenal and Paraganglionic Tumors

Publication Details

Published in: Neuro-Oncology Advances

Volume 1, Issue 1, pp. vdz011-vdz011

DOI: 10.1093/noajnl/vdz011

Field-Weighted Citation Impact: 7.99

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Integrated models incorporating radiologic and radiomic features predict meningioma grade, local failure, and overall survival

Authors

Abstract

Topics & Keywords

Publication Details