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

Bone-RADS-CT has been demonstrated to be reliable and accurate when rated by musculoskeletal radiologists. Bone-RADS-CT achieved moderate agreement for musculoskeletal and non-musculoskeletal radiologists. Bone-RADS-CT presented high sensitivities but low specificities for identifying "need for treatment" bone lesions.

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Publication Details

Journal
Insights into Imaging
Published
2025-08-12
DOI
https://doi.org/10.1186/s13244-025-02057-8
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
4.08

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article

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

Shun Dai, Guangcheng Zhang, Defang Ding, Jingyu Zhong et al.
3 citations
Insights into Imaging
Radiomics and Machine Learning in Medical Imaging
4.08
article

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

Shun Dai, Guangcheng Zhang, Defang Ding, Jingyu Zhong, Yang Song, Shiqi Mao, Yue Xing, Huan Zhang, Xian‐Wei Liu, Chengzhou Li, Qian Yin, Weiwu Yao, Junjie Lu, Yangfan Hu, Jiarui Yang, Liangjing Lyu
article en
3 citations

Abstract

Bone-RADS-CT has been demonstrated to be reliable and accurate when rated by musculoskeletal radiologists. Bone-RADS-CT achieved moderate agreement for musculoskeletal and non-musculoskeletal radiologists. Bone-RADS-CT presented high sensitivities but low specificities for identifying "need for treatment" bone lesions.

Insights into ImagingVol. 16(1)
Boston University (US), Tongji University (CN), Shanghai Jiao Tong University (CN), Renji Hospital (CN), Ruijin Hospital (CN), Tongren Hospital (CN), Shanghai Pulmonary Hospital (CN), Shanghai Sixth People's Hospital (CN), Shanghai Institute of Hematology (CN), Siemens (China) (CN), Stanford University (US)
Shanghai Municipal Health Commission, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Jiao Tong University, School of Medicine, Shanghai Jiao Tong University
Openalex Percentile: Top 6%
Radiomics and Machine Learning in Medical Imaging
4.08
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