A multimodal MRI-radiomics deep learning model for survival risk stratification after gamma knife radiosurgery in patients with brain metastases: A multicenter retrospective study.

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Title: A multimodal MRI-radiomics deep learning model for survival risk stratification after gamma knife radiosurgery in patients with brain metastases: A multicenter retrospective study.
Authors: Chen Y; Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Yuan Q; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China; Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China., Cramer CK; Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Helis CA; Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., He G; Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Chen C; Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China., Choi A; Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Young PJ; Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Wang Y; Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Xing F; Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Ruiz J; Department of Medicine (Hematology & Oncology), Wake Forest University School of Medicine, Winston-Salem, NC, United States., Tan J; Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Lyu Q; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States., Whitlow CT; Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States., Munley MT; Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Willey J; Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States., Tian J; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China; Department of Medical Imaging, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China. Electronic address: jz.tian@163.com., Chan MD; Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States. Electronic address: Michael.Chan@wfusm.edu., Jiang Y; Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, United States. Electronic address: Yuming.Jiang@wfusm.edu.
Source: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology [Radiother Oncol] 2026 Jul 08; Vol. 222, pp. 111686. Date of Electronic Publication: 2026 Jul 08.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8407192 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0887 (Electronic) Linking ISSN: 01678140 NLM ISO Abbreviation: Radiother Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0887
DOI:10.1016/j.radonc.2026.111686