Evidence map›Paper›PMID 42834164›Full record

ArticleEuropean radiology2026

Soft Tissue Reporting and Data System (Soft Tissue-RADS): preliminary validation among fellowship-trained musculoskeletal radiologists.

Avneesh Chhabra, Ty Subhawong, Angela He, Flavio Duarte Silva, Gitanjali Bajaj, Hillary W Garner, Shivani Ahlawat, Majid Chalian, Kambiz Motamedi, Behrang Amini and 7 more

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Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Avneesh ChhabraUT Southwestern, Dallas, TX, USA. avneesh.chhabra@utsouthwestern.edu.ORCID http://orcid.org/0000-0002-0718-3802
Ty SubhawongDepartment of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA.
Angela HeUT Southwestern, Dallas, TX, USA.
Flavio Duarte SilvaUT Southwestern, Dallas, TX, USA.
Gitanjali BajajUniversity of Arkansas for Medical Sciences, Little Rock, AR, USA.
Hillary W GarnerDepartment of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Shivani AhlawatRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Majid ChalianDepartment of Radiology, University of Washington, Seattle, WA, USA.
Kambiz MotamediDepartment of Radiology, University of California, Los Angeles, CA, USA.
Behrang AminiDepartment of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jonathan SametDepartment of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Julie C Fanburg-SmithUniversity of Virginia, Charlottesville, VA, USA.
Edwin ChoyMassachusetts General Brigham Cancer Institute, Boston, MA, USA.
Carol D MorrisOrthopedic Surgery Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Yin XiUT Southwestern, Dallas, TX, USA.
Jim S WuDepartment of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Mark D MurpheyUniformed Services University of the Health Sciences, Bethesda, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo validate the MRI-based soft tissue tumor scoring system by comparing the accuracy of the Soft Tissue-RADS to qualitative assessment. MATERIALS AND

methodsIn this cross-sectional study, adult MRIs of soft-tissue tumors and tumor-like lesions with known reference standards, obtained from June 2015 to May 2024, were included. Patients with incomplete imaging, no final diagnosis, and visceral tumors were excluded. The scoring categories were 1-6. The cases were presented to ten expert musculoskeletal (MSK) radiologists from ten institutions under curated image-review conditions. Inter-reader agreement and MRI accuracy were calculated and compared to the accuracy of final qualitative diagnoses and respective confidence scales.

resultsAmong 150 MRI scans from 150 patients (68 males; 82 females) from one center, 6 cases were category 1; 60, category 2; 32, category 3; 14, category 4; 22, category 5; and 16, category 6. Good-to-excellent inter-reader agreement was observed overall (Kappa: 0.79; 95% CI: 0.74, 0.83). The mean accuracy of Soft-Tissue RADS between benign (categories 1-3) versus suspicious (categories 4 and 5) tumors was 82% (95% CI: 80%, 84%) versus 61% (95% CI: 58%, 63%) for qualitative diagnoses (p < 0.001). The mean true positive rate for RADS 6 was 97%. AUC for ten readers was 0.85 to 0.91. Average confidence level using Soft-Tissue RADS was greater than qualitative diagnoses (4.35 ± 0.81 vs. 4.14 ± 0.99; p < 0.001).

conclusionSoft Tissue-RADS is a reliable and accurate system for standardized terminology and recommended management of MRIs of soft-tissue tumors and tumor-like lesions among experts. Further validation in routine clinical workflows is necessary. KEY POINTS: Question Given the limited accuracy of radiologists' rendered qualitative diagnoses, what is the diagnostic performance of Soft Tissue-RADS versus qualitative diagnoses? Findings Soft Tissue-RADS scoring is reliable (Kappa: 0.79; 95% CI: 0.74, 0.83) and more accurate (82% vs. 61%, p < 0.001) than qualitative diagnosis with better confidence levels (p < 0.001). Clinical relevance Soft Tissue-RADS system can potentially lead to consistent management recommendations and longitudinal data collection in the domain of sarcoma diagnosis.

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CancerDiagnosisExtremitiesNeoplasmSarcoma

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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 Socratic graph.