Deep learning-driven incidental detection of vertebral fractures in cancer patients: advancing diagnostic precision and clinical management.
Journal:
La Radiologia medica
Published Date:
Aug 2, 2025
Abstract
PURPOSE: Vertebral compression fractures (VCFs) are the most prevalent skeletal manifestations of osteoporosis in cancer patients. Yet, they are frequently missed or not reported in routine clinical radiology, adversely impacting patient outcomes and quality of life. This study evaluates the diagnostic performance of a deep-learning (DL)-based application and its potential to reduce the miss rate of incidental VCFs in a high-risk cancer population.
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