CHE-YU HSUFU-REN XIAOKAO-LANG LIUChen, Ting-LiTing-LiChenLee, Yueh-ChouYueh-ChouLeeWEICHUNG WANG2022-05-122022-05-1220202632-2498https://scholars.lib.ntu.edu.tw/handle/123456789/610512Brain metastasis velocity (BMV) predicts outcomes after initial distant brain failure (DBF) following upfront stereotactic radiosurgery (SRS). We developed an integrated model of clinical predictors and pre-SRS MRI-derived radiomic scores (R-scores) to identify high-BMV (BMV-H) patients upon initial identification of brain metastases (BMs).enbrain metastases velocity; distant brain failure; machine learning; neuro-oncology; radiomics[SDGs]SDG3Radiomic analysis of magnetic resonance imaging predicts brain metastases velocity and clinical outcome after upfront radiosurgeryjournal article10.1093/noajnl/vdaa100338176412-s2.0-85126712844https://scholars.lib.ntu.edu.tw/handle/123456789/604285