Evidence map›Paper›PMID 41733733›Full record

ArticleInsights into imaging2026

Musculoskeletal Infection Reporting and Data System (MSKI-RADS): reviewed and explained.

Angela He, Flavio Duarte Silva, Mina Guirguis, Erin F Alaia, William B Morrison, Avneesh Chhabra

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Angela HeDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Flavio Duarte SilvaDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Mina GuirguisDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA.
Erin F AlaiaDepartment of Radiology, NYU Langone Medical Center, New York, NY, USA.
William B MorrisonDepartment of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Avneesh ChhabraDepartment of Radiology, UT Southwestern Medical Center, Dallas, TX, USA. avneesh.chhabra@utsouthwestern.edu.ORCID http://orcid.org/0000-0002-0718-3802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A standardized guideline and scoring system are recommended for the imaging evaluation of musculoskeletal infections on MR imaging. The Musculoskeletal Infection Reporting and Data System (MSKI-RADS) is a recently developed and validated classification system using MR imaging that can be used to classify the severity and extent of musculoskeletal infections, improve radiology-pathology concordance, and outline the corresponding management recommendations. This review article explains MSKI-RADS and discusses the different elements of this system in detail with a review of pertinent literature so that the readers can apply it in their practices. The work outlines the technical considerations for optimal MR imaging for evaluating various musculoskeletal infectious lesions, details the severity scales with examples of various conditions that fall under each class, and outlines related patient management recommendations. The readers can learn about the MSKI-RADS classification system and apply the gained information from this article to improve MRI interpretations in their practice and increase the effectiveness of their multidisciplinary communications. This standardized system will also allow longitudinal data collection and tracking for future research purposes. CRITICAL RELEVANCE STATEMENT: MSKI-RADS is a recently developed and validated MRI-based guideline for musculoskeletal infections in extremities. A comprehensive understanding of these classifications can facilitate improved standardized diagnostic reporting of musculoskeletal infections on MRI and better patient outcomes. KEY POINTS: Current terminology for describing musculoskeletal infections on MRI is nonspecific, resulting in confusing diagnostic reports. A standardized guideline and scoring system are critical for improving diagnostic reporting of musculoskeletal infections on MRI. MSKI-RADS is a recently developed and validated MRI-based guideline that can be used to characterize musculoskeletal infections in extremities. MSKI-RADS is a meaningful tool that facilitates improvements in standardized reporting and treatment protocols, multidisciplinary communications, and longitudinal data collection.

Indexed as

MRIMSKI-RADSMusculoskeletal infectionOsteomyelitisX-ray

Identifiers

PMID41733733
PMCPMC12932762

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Registered trials

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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.