Preoperative Prediction of Meningioma Consistency via Machine Learning-Based Radiomics

Preoperative Prediction of Meningioma Consistency via Machine Learning-Based Radiomics

ObjectivesThe aim of this study was to establish and validate a radiomics nomogram for predicting meningiomas consistency, which could facilitate individualized operation schemes-making.MethodsA total of 172 patients was enrolled in the study (train cohort: 120 cases, test cohort: 52 cases). Tumor c...

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Bibliographic Details
Main Authors: Yixuan Zhai, Dixiang Song, Fengdong Yang, Yiming Wang, Xin Jia, Shuxin Wei, Wenbin Mao, Yake Xue, Xinting Wei
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Oncology
Subjects:
machine learning
consistency
meningioma
nomogram
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.657288/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.657288/full

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