Predicting telomerase reverse transcriptase promoter mutation in glioma: A systematic review and diagnostic meta-analysis on machine learning algorithms.

ABSTRACT: BackgroundGlioma is one of the most common primary brain tumors. The presence of the telomerase reverse transcriptase promoter (pTERT) mutation is associated with a better prognosis. This study aims to investigate the TERT mutation in patients with glioma using machine learning (ML) algorithms on radiographic imaging.MethodThis study was prepared according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The electronic databases of PubMed, Embase, Scopus, and Web of Science were searched from inception to August 1, 2023. The statistical analysis was performed using the MIDAS package of STATA v.17.ResultsA total of 22 studies involving 5371 patients were included for data extraction, with data synthesis based on 11 reports. The analysis revealed

SUBMITTER: Habibi MA 

PROVIDER: S-EPMC11571522 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature