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Machine learning models for predicting response to epidermal growth factor receptor tyrosine kinase inhibitors in non-small cell lung cancer brain metastases: a systematic review and meta-analysis.

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Title: Machine learning models for predicting response to epidermal growth factor receptor tyrosine kinase inhibitors in non-small cell lung cancer brain metastases: a systematic review and meta-analysis.
Authors: Hajikarimloo B; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA. bardii47@yahoo.com., Mohammadzadeh I; Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hashemi R; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Tos SM; Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA., Bahrami E; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Najari D; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Ebrahimi A; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hasanzade A; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Habibi MA; Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Source: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico [Clin Transl Oncol] 2026 May; Vol. 28 (5), pp. 1708-1717. Date of Electronic Publication: 2025 Dec 03.
Publication Type: Journal Article; Systematic Review; Meta-Analysis; Review
Journal Info: Publisher: Springer Italia Country of Publication: Italy NLM ID: 101247119 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1699-3055 (Electronic) Linking ISSN: 1699048X NLM ISO Abbreviation: Clin Transl Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1699-3055
DOI:10.1007/s12094-025-04148-w