Machine learning in prediction of epidermal growth factor receptor status in non-small cell lung cancer brain metastases: a systematic review and meta-analysis
- Published on 05/06/2025
- Reading time: 5 min.
Hajikarimloo Bardia 1, Mohammadzadeh Ibrahim 2, Tos Salem M. 3, Habibi Mohammad Amin 4, Hashemi Rana 4, Hezaveh Ehsan Bahrami 4, Najari Dorsa 4, Hasanzade Arman 4, Hooshmand Mehdi 4, bana Sara 4
1 https://ror.org/034m2b326 Department of Neurological Surgery Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences Tehran Iran
2 https://ror.org/034m2b326 Skull Base Research Center, Loghman-Hakim Hospital Shahid Beheshti University of Medical Sciences Tehran Iran
3 https://ror.org/0153tk833 Department of Neurological Surgery University of Virginia Charlottesville VA USA
4 https://ror.org/01c4pz451 Department of Neurosurgery, Shariati Hospital Tehran University of Medical Sciences Tehran Iran
Abstract
Background Epidermal growth factor receptor (EGFR) mutations are present in 10–60% of all non-small cell lung cancer (NSCLC) patients and are associated with dismal prognosis. Lung cancer brain metastases (LCBM) are a common complication of lung cancer. Predictions of EGFR can help physicians in decision-making and, through optimizing treatment strategies, can result in more favorable outcomes. This systematic review and meta-analysis evaluated the predictive...
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