Evidence map›Paper›PMID 40676311›Full record

ArticleInsights into imaging2025

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.

Yue Xing, Yangfan Hu, Xianwei Liu, Defang Ding, Shun Dai, Liangjing Lyu, Guangcheng Zhang, Shiqi Mao, Qian Yin, Junjie Lu and 6 more

Abstract read
In one paragraph

Article in Insights into imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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 · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yue Xing *Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Yangfan Hu *Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Xianwei Liu *Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Defang DingDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Shun DaiDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Liangjing LyuDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Guangcheng ZhangDepartment of Orthopedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
Shiqi MaoDepartment of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
Qian YinDepartment of Pathology, Renhe Hospital, Shanghai, 200431, China.
Junjie LuDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Jiarui YangDepartment of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.
Yang SongMR Research Collaboration Team, Siemens Healthineers Ltd., Shanghai, 200126, China.
Huan ZhangDepartment of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Chengzhou LiDepartment of Nuclear Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China. lichengzhou005@163.com.
Weiwu YaoDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China. yaoweiwuhuan@163.com.
Jingyu ZhongDepartment of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China. wal_zjy@163.com.ORCID http://orcid.org/0000-0002-9817-2294

Funding

Laboratory Open Fund of Key Technology and Materials in Minimally Invasive Spine Surgery 2024JZWC-YBA07Laboratory Open Fund of Key Technology and Materials in Minimally Invasive Spine Surgery 2024JZWC-ZDA03National Natural Science Foundation of China 82271934National Natural Science Foundation of China 82302183National Natural Science Foundation of China 82471935Research Found of Health Commission of Changing District, Shanghai Municipality 2023QN01Research Found of Health Commission of Shanghai Municipality 20244Y0214Research Found of Science and Technology Commission of Changing District, Shanghai Municipality CNKW2024Y07Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRKYRC-XX202204Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRYJ2021JC06Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRYXJH18Research Fund of Tongren Hospital, Shanghai Jiao Tong University School of Medicine TRYXJH28Yangfan Project of Science and Technology Commission of Shanghai Municipality 22YF1442400
6 · The paper itself

Abstract

objectiveTo evaluate the reproducibility and effectiveness of the Bone Reporting and Data System on MRI (Bone-RADS-MRI) for incidental solitary bone lesions in adults. MATERIALS AND

methodsWe retrospectively included 275 MRI cases from three local and two public databases, respectively. All the cases were histopathologically or clinically confirmed bone lesions, or "do not touch" lesions with typical appearance and remained stable for at least two years. Each lesion with gender, age, and clinical history was categorized according to the Bone-RADS algorithm by two musculoskeletal radiologists and two non-musculoskeletal radiologists. The Bone-RADS categories were as follows: Bone-RADS-1, likely benign, leave alone; Bone-RADS-2, incompletely assessed on imaging, perform different imaging modality; Bone-RADS-3, intermediate, perform follow-up imaging; Bone-RADS-4, suspicious for malignancy or need for treatment, biopsy and/or oncologic referral. Inter-reader agreement was evaluated. The diagnostic performance of the Bone-RADS-MRI was measured for distinguishing intermediate or malignant lesions or osteomyelitis from benign lesions. The histopathology results, clinical diagnosis, or follow-up were used as a standard reference.

resultsThere were 165 intermediate or malignant lesions or osteomyelitis, and 110 benign lesions, respectively. The inter-reader agreements between two musculoskeletal and between two non-musculoskeletal radiologists were both moderate (weighted kappa 0.572 and 0.520). The diagnostic performance for identifying intermediate or malignant lesions or osteomyelitis ranged according to radiologists with sensitivities of 88.5% to 94.5%, specificities of 55.5% to 74.5%, and accuracies of 76.4% to 82.9%.

conclusionBone-RADS-MRI is effective for identifying bone lesions that need further treatment, but it has only moderate reliability for readers with different specialties and experience. CRITICAL RELEVANCE STATEMENT: With local and public databases, Bone-RADS-MRI has been demonstrated to be a reliable algorithm for musculoskeletal and non-musculoskeletal radiologists with varying experience and an effective tool for identifying incidental solitary bone lesions that "need treatment" in adults. KEY POINTS: Bone-RADS-MRI needs clinical validation for inter-reader agreement and diagnostic performance. Bone-RADS-MRI achieved moderate agreements between musculoskeletal and non-musculoskeletal radiologists, respectively. Bone-RADS-MRI presented high sensitivities but low specificities for identifying "need-for-treatment" bone lesions.

Indexed as

Bone neoplasmsClinical decision-makingMagnetic resonance imagingReproducibility of results

Identifiers

PMID40676311
PMCPMC12271034

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