Integrating CT-based radiomic model with clinical features improves long-term prognostication in high-risk prostate cancer

MLA

Jerry C. F. Ching, et al. “Integrating CT-Based Radiomic Model with Clinical Features Improves Long-Term Prognostication in High-Risk Prostate Cancer.” Frontiers in Oncology, vol. 13, Apr. 2023. EBSCOhost, https://doi.org/10.3389/fonc.2023.1060687.

APA

Jerry C. F. Ching, Saikit Lam, Cody C. H. Lam, Angie O. Y. Lui, Joanne C. K. Kwong, Anson Y. H. Lo, Jason W. H. Chan, Jing Cai, W. S. Leung, & Shara W. Y. Lee. (2023). Integrating CT-based radiomic model with clinical features improves long-term prognostication in high-risk prostate cancer. Frontiers in Oncology, 13. https://doi.org/10.3389/fonc.2023.1060687

Chicago

Jerry C. F. Ching, Saikit Lam, Cody C. H. Lam, Angie O. Y. Lui, Joanne C. K. Kwong, Anson Y. H. Lo, Jason W. H. Chan, Jing Cai, W. S. Leung, and Shara W. Y. Lee. 2023. “Integrating CT-Based Radiomic Model with Clinical Features Improves Long-Term Prognostication in High-Risk Prostate Cancer.” Frontiers in Oncology 13 (April). doi:10.3389/fonc.2023.1060687.