A 20-feature radiomic signature of triple-negative breast cancer identifies patients at high risk of death.
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| Title: | A 20-feature radiomic signature of triple-negative breast cancer identifies patients at high risk of death. |
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| Authors: | Noor H; Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Zheng Y; Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Mantz AB; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA., Zhou R; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA., Kozlov A; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., DeMartini WB; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., Chen ST; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., Okamoto S; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., Ikeda DM; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., Telli ML; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA., Kurian AW; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA.; Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA., Ford JM; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA., Vinayak S; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA., Satoyoshi M; Stanford University Research Technology/Data Services, Stanford, CA, USA., Joshi V; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA., Mattonen SA; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., Lee K; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA., Gevaert O; Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA., Sledge GW; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA., Itakura H; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA. itakura@stanford.edu. |
| Source: | NPJ breast cancer [NPJ Breast Cancer] 2025 Jul 26; Vol. 11 (1), pp. 79. Date of Electronic Publication: 2025 Jul 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Breast Cancer Research Foundation Country of Publication: United States NLM ID: 101674891 Publication Model: Electronic Cited Medium: Print ISSN: 2374-4677 (Print) Linking ISSN: 23744677 NLM ISO Abbreviation: NPJ Breast Cancer Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2374-4677 |
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| DOI: | 10.1038/s41523-025-00790-3 |
