Evidence map›Paper›PMID 39894855›Full record

ArticleSkeletal radiology2025

Validation of the American College of Radiology Bone Reporting and Data System™ (ACR Bone-RADS™) for classifying osteolytic bone tumors.

Youngjune Kim, Choong Guen Chee, Yusuhn Kang

Abstract readValidation Study
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 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
  3. Article
  4. Article
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

3 authors.

Youngjune Kim *Department of Radiology, Seoul National University Bundang Hospital, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam-Si, Gyeonggi-Do, 13620, Republic of Korea.
Choong Guen Chee *Department of Radiology, Seoul National University Bundang Hospital, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam-Si, Gyeonggi-Do, 13620, Republic of Korea.
Yusuhn KangDepartment of Radiology, Seoul National University Bundang Hospital, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam-Si, Gyeonggi-Do, 13620, Republic of Korea. yskang0114@gmail.com.ORCID http://orcid.org/0000-0003-1838-2564

Funding

SNUBH Research Fund 02-2024-0026
6 · The paper itself

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.

Indexed as

Bone NeoplasmsOsteolysisRadiology Information SystemsAdultAgedFemaleHumansMaleMiddle AgedObserver VariationReproducibility of ResultsRetrospective StudiesSensitivity and SpecificitySocieties, MedicalUnited StatesACR Bone-RADS™Bone tumorObserver variationRadiographyValidation

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.