Machine learning predicts the risk of osteoporosis in patients with breast cancer and healthy women

CONCLUSIONS: Patients with breast cancer may have changed body composition and BMD. Compared with the healthy population, the main indicators of osteoporosis in patients with breast cancer were reduced nonadipose tissue, increased risk of edema, altered fat distribution, and reduced BMD. In addition to age, duration of treatment, and duration of menopause, body composition-related indicators such as BMI and basal metabolism may be considerably associated with BMD of patients with breast cancer, suggesting that BMD status can be monitored in clinical practice by focusing on changes in the aforementioned indexes, which may provide a way to prevent preclinical osteoporosis.PMID:38393381 | PMC:PMC10891247 | DOI:10.1007/s00432-024-05622-8
Source: Clinical Genitourinary Cancer - Category: Cancer & Oncology Authors: Source Type: research