Machine learning for predicting post-operative outcomes in meningiomas: a systematic review and meta-analysis.

ABSTRACT:

Purpose

Meningiomas are the most common primary brain tumour and account for over one-third of cases. Traditionally, estimations of morbidity and mortality following surgical resection have depended on subjective assessments of various factors, including tumour volume, location, WHO grade, extent of resection (Simpson grade) and pre-existing co-morbidities, an approach fraught with subjective variability. This systematic review and meta-analysis seeks to evaluate the efficacy with which machine learning (ML) algorithms predict post-operative outcomes in meningioma patients.

Methods

A literature search was conducted in December 2023 by two independent reviewers through PubMed, DARE, Cochrane Library and SCOPUS electronic databases. Random-effects meta-analysis was conducted.<

SUBMITTER: Abualnaja SY 

PROVIDER: S-EPMC11652405 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature