https://scholars.lib.ntu.edu.tw/handle/123456789/610512
標題: | Radiomic analysis of magnetic resonance imaging predicts brain metastases velocity and clinical outcome after upfront radiosurgery | 作者: | CHE-YU HSU FU-REN XIAO KAO-LANG LIU Chen, Ting-Li Lee, Yueh-Chou WEICHUNG WANG |
關鍵字: | brain metastases velocity; distant brain failure; machine learning; neuro-oncology; radiomics | 公開日期: | 2020 | 卷: | 2 | 期: | 1 | 來源出版物: | Neuro-oncology advances | 摘要: | Brain 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). |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/610512 | ISSN: | 2632-2498 | DOI: | 10.1093/noajnl/vdaa100 |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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