Evidence map›Paper›PMID 40875018›Full record

ArticleEuropean radiology2026

Musculoskeletal infection reporting and data system (MSKI-RADS): multi-institutional wider generalizability study.

Avneesh Chhabra, Angela He, Majid Chalian, Tarun Pandey, Erin Alaia, Philip K Wong, Kenneth S Lee, Philip G Colucci, Ty Subhawong, Josephina A Vossen and 28 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

38 authors.

Avneesh ChhabraDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA. avneesh.chhabra@utsouthwestern.edu.ORCID http://orcid.org/0000-0002-0718-3802
Angela HeDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Majid ChalianDepartment of Radiology, University of Washington, Seattle, WA, USA.
Tarun PandeyDepartment of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Erin AlaiaDepartment of Radiology, NYU Langone Medical Center, New York, NY, USA.
Philip K WongDepartment of Diagnostic Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Kenneth S LeeDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Philip G ColucciDepartment of Radiology, Hospital for Special Surgery, New York, NY, USA.
Ty SubhawongDepartment of Radiology, University of Miami Health System, Miami, FL, USA.
Josephina A VossenDepartment of Radiology, Virginia Commonwealth University, Richmond, VA, USA.
Jonathan SametDepartment of Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University of Feinberg School of Medicine, Chicago, IL, USA.
Eric ChenDepartment of Radiology, University of Washington, Seattle, WA, USA.
Etan DayanDepartment of Radiology, University of Miami Health System, Miami, FL, USA.
Yu-Cherng Channing ChangDepartment of Radiology, University of Miami Health System, Miami, FL, USA.
Rebecca DriessenDepartment of Diagnostic Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Natalie RichDepartment of Radiology, University of Washington, Seattle, WA, USA.
Ryan CummingsDepartment of Radiology, NYU Langone Medical Center, New York, NY, USA.
Nivedita RadderDepartment of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Razwan ZemianschiDepartment of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Shilpa MohananDepartment of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
John ZechDepartment of Radiology, NYU Langone Medical Center, New York, NY, USA.
Alison Esteva SandersDepartment of Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University of Feinberg School of Medicine, Chicago, IL, USA.
Yujie QiaoDepartment of Radiology, Virginia Commonwealth University, Richmond, VA, USA.
Brody BriskDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Junman KimDepartment of Diagnostic Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Zenas IgbinobaDepartment of Radiology, Hospital for Special Surgery, New York, NY, USA.
Nicholas TanDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Nitin VenugopalDepartment of Radiology, University of Washington, Seattle, WA, USA.
Nicholas LaucisDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Katherine EacobacciDepartment of Radiology, Hospital for Special Surgery, New York, NY, USA.
Ayman ShaqdanDepartment of Radiology, Virginia Commonwealth University, Richmond, VA, USA.
Alex NapolitanoDepartment of Radiology, NYU Langone Medical Center, New York, NY, USA.
Cecilia Davis-HayesDepartment of Radiology, Hospital for Special Surgery, New York, NY, USA.
Atul Kumar TanejaDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Alex IancauDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Alex ZhuDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Yin XiDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Flavio Duarte SilvaDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine inter-reader reliability and diagnostic accuracy of MSKI-RADS among early-career radiologists with different experience levels. MATERIALS AND

methodsThis is a retrospective multicenter study of MRIs of proven musculoskeletal (MSK) infections. MSKI-RADS categories included: 0-incomplete imaging, I-negative for infection, II-superficial soft tissue infection, III-deeper soft tissue infection, IV-possible osteomyelitis (OM), V-highly suggestive of OM, VI-known OM, and NOS-nonspecific bony lesions unrelated to infection. There were 22 readers from 9 institutions with 1-8 years of radiology experience, including radiology residents, MSK radiology clinical fellows, and junior MSK attendings. After initial training with expert readers, a dataset of 210 cases across a spectrum of extremity infections from a single institution was evaluated. The readers recorded the following for each case: MSKI-RADS score, final qualitative diagnosis, and confidence levels for both. Inter-reader agreements (ICC) and accuracy were obtained.

resultsAmong 210 cases, there were 17 negative, 32 superficial soft tissue infections, 39 deeper soft tissue infections, 24 possible OM, 41 highly suggestive of OM, 18 known OM, and 39 NOS cases. A moderate inter-reader agreement was seen for 22 readers (ICC: 0.57 (CI = 0.52, 0.67)). The average true positive rates for non-infectious cases (I and NOS), soft tissue infection (II and III), and bony infection (IV and V) were 70% (95% CI: 67-73%), 66% (95% CI: 63-68%), and 82% (95% CI: 80-84%), respectively. Average true positive rates for classes V and VI were 80% (95% CI: 77-82%) and 86% (95% CI: 82-89%), respectively. Overall, MSKI-RADS reader accuracy was 66 ± 10%, higher than the qualitative diagnosis accuracy of 59 ± 11% (p < 0.05). Average confidence levels for MSKI-RADS score and final qualitative diagnosis were 3.56 ± 0.91 and 3.52 ± 0.92, respectively (p > 0.05).

conclusionMSKI-RADS is an accurate and reliable MRI-based classification system for the diagnosis of a spectrum of musculoskeletal infections among early-career radiologists, like expert readers. KEY POINTS: Question What is the inter-reader reliability and diagnostic accuracy of the musculoskeletal infection reporting and data system (MSKI-RADS) among early-career radiologists with different experience levels? Findings Overall reader accuracy using MSKI-RADS was significantly higher than the accuracy for final qualitative diagnoses, like the results of the initial validation study with expert readers. Clinical relevance MSKI-RADS is valid and reliable for diagnosis and grading of a spectrum of extremity musculoskeletal infections for early career radiologists of different experience levels, like expert readers.

Indexed as

Magnetic Resonance ImagingMusculoskeletal DiseasesOsteomyelitisRadiology Information SystemsSoft Tissue InfectionsAdultAgedClinical CompetenceFemaleHumansMaleMiddle AgedObserver VariationReproducibility of ResultsRetrospective StudiesAbscessInfectionMRIMusculoskeletalOsteomyelitis

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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.