Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis.

ABSTRACT:

Purpose

To systematically review and evaluate the methodological quality of studies using radiomics for diagnostic and predictive purposes in patients with intracranial meningioma. To perform a meta-analysis of machine learning studies for the prediction of intracranial meningioma grading from pre-operative brain MRI.

Methods

Articles published from the year 2000 on radiomics and machine learning applications in brain imaging of meningioma patients were included. Their methodological quality was assessed by three readers with the radiomics quality score, using the intra-class correlation coefficient (ICC) to evaluate inter-reader reproducibility. A meta-analysis of machine learning studies for the preoperative evaluation of meningioma grading was performed and their risk of

SUBMITTER: Ugga L 

PROVIDER: S-EPMC8295153 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature