- BTI-RADS 2.0 is a structured reporting system for bone tumors.
- A machine learning algorithm differentiated between benign and malignant bone lesions with high accuracy.
- The system achieved a sensitivity of 96% in detecting malignant lesions.
- The new risk stratification framework categorizes model outputs into seven clinically meaningful risk classes.
- The study included 1,113 patients with structured imaging data collected from various imaging exams.
- Artificial intelligence could potentially enhance diagnostic performance in musculoskeletal oncology.
- BTI-RADS 2.0 offers a standardized approach for patient care in diverse clinical settings.
Source: Radiology
