Yu-Ting Pan, Yen-Po Lin, Hung-Kuan Yen, Hung-Ho Yen, Chi-Ching Huang, Hsiang-Chieh Hsieh, Stein Janssen, Ming-Hsiao Hu, Wei-Hsin Lin, Olivier Q Groot
BACKGROUND: Bone metastasis in advanced cancer is challenging because of pain, functional issues, and reduced life expectancy. Treatment planning is complex, with consideration of factors such as location, symptoms, and prognosis. Prognostic models help guide treatment choices, with Skeletal Oncology Research Group machine-learning algorithms (SORG-MLAs) showing promise in predicting survival for initial spinal metastases and extremity metastases treated with surgery or radiotherapy. Improved therapies extend patient lifespans, increasing the risk of subsequent skeletal-related events (SREs)...
March 20, 2024: Clinical Orthopaedics and related Research