ArticleSkeletal radiology2025
Validation of the American College of Radiology Bone Reporting and Data System™ (ACR Bone-RADS™) for classifying osteolytic bone tumors.
Article in Skeletal radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Comparative analysis of RADS classification systems for solitary bone lesions: malignancy risk stratification performance and clinical utility.European radiology · 2026Article
- RADS classification systems for bone tumors: current status and where do we go from here?Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Review
- Bone reporting and data system on CT (Bone-RADS-CT): a validation study by four readers on 328 cases from three local and two public databases.Insights into imaging · 2025Article
- Bone Reporting and Data System on MRI (Bone-RADS-MRI): a validation study by four readers on 275 cases from three local and two public databases.Insights into imaging · 2025Article
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Funding
Abstract
objectiveTo validate the performance of the American College of Radiology (ACR) Bone-RADS™ in identifying malignant osteolytic bone tumors and to evaluate the inter-observer agreement between musculoskeletal radiologists performing ACR Bone-RADS™ assessments.
methodsThis single-center, retrospective study included patients who visited our orthopedic oncology department on January 2019-December 2020 for bone tumors. Three radiologists evaluated the initial radiographs and assessed whether the tumor was eligible for ACR Bone-RADS™ assessment considering its transverse location and radiodensity. For eligible tumors, the radiologists rated the descriptors of ACR Bone-RADS™ and calculated the Bone-RADS™ categories. Using multi-reader, multi-case analysis, the performance in identifying malignant bone tumors was assessed in terms of sensitivity and area under the receiver-operating-characteristic curve (AUC), while dichotomizing the Bone-RADS™ categories into potentially benign (categories 1-2) and potentially malignant (categories 3-4). Gwet's AC1 was calculated to evaluate inter-observer agreement on the categories. The proportion of malignancy in each Bone-RADS™ category was calculated.
resultsIn total, 278 patients (mean age ± standard deviation, 40 ± 22 years; 161 men; and 93 with malignant tumors) were eligible for assessment. The sensitivity and AUC for discriminating malignancy using ACR Bone-RADS™ were 95.0% and 0.915, respectively. There was moderate inter-observer agreement on the ACR Bone-RADS™ category, with a Gwet's AC1 of 0.594 (95% confidence interval, 0.536-0.652). The proportions of malignancy were 0.0-1.2% in Bone-RADS™ category 1; 4.0-9.0% in category 2; 18.2-30.3% in category 3; and 77.7-83.3% in category 4.
conclusionThe ACR Bone-RADS™ showed high diagnostic performance in detecting malignant osteolytic bone tumors, with moderate inter-observer agreement.
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