Machine learning radiomics for H3K27M mutation prediction in gliomas: A systematic review and meta-analysis.

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Title: Machine learning radiomics for H3K27M mutation prediction in gliomas: A systematic review and meta-analysis.
Authors: Hajikarimloo B; University of Virginia, Charlottesville, VA, USA. bardii47@yahoo.com., Tos SM; University of Virginia, Charlottesville, VA, USA., Kooshki A; Birjand University of Medical Sciences, Birjand, Islamic Republic of Iran., Alvani MS; Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran., Eftekhar MS; Qom University of Medical Science and Health Services, Qom, Islamic Republic of Iran., Hasanzade A; Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran., Tavanaei R; Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran., Akhlaghpasand M; Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran., Hashemi R; Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran., Ghaffarzadeh-Esfahani M; Isfahan University of Medical Sciences, Isfahan, Islamic Republic of Iran., Mohammadzadeh I; Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran., Habibi MA; Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran. mohammad.habibi1392@yahoo.com.
Source: Neuroradiology [Neuroradiology] 2025 Jul; Vol. 67 (7), pp. 1813-1826. Date of Electronic Publication: 2025 Mar 31.
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 1302751 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1920 (Electronic) Linking ISSN: 00283940 NLM ISO Abbreviation: Neuroradiology Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1432-1920
DOI:10.1007/s00234-025-03597-y