Machine learning in prediction of epidermal growth factor receptor status in non-small cell lung cancer brain metastases: a systematic review and meta-analysis

Machine learning in prediction of epidermal growth factor receptor status in non-small cell lung cancer brain metastases: a systematic review and meta-analysis

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 physicia...

Full description

Saved in:
Bibliographic Details
Main Authors: Bardia Hajikarimloo, Ibrahim Mohammadzadeh, Salem M. Tos, Mohammad Amin Habibi, Rana Hashemi, Ehsan Bahrami Hezaveh, Dorsa Najari, Arman Hasanzade, Mehdi Hooshmand, Sara bana
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Cancer
Subjects:
Machine learning
Deep learning
Epidermal growth factor receptor
EGFR
Lung neoplasms
Brain neoplasms
Online Access:https://doi.org/10.1186/s12885-025-14221-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12885-025-14221-w

Similar Items