Evidence map›Paper›PMID 42507163›Full record

ReviewSkeletal radiology2026

Musculoskeletal infections in sports: imaging approach, sport-specific risk factors, and diagnostic pitfalls.

Tatiane Cantarelli Rodrigues, Elena Drakonaki, Bruna Pereira de Oliveira, Aline Serfaty

Abstract readReview
PubMed Publisher
In one paragraph

Review in Skeletal 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.

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

4 authors.

Tatiane Cantarelli RodriguesDepartment of Radiology, Radiation Oncology and Medical Physics, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada. tcantarelli@gmail.com.ORCID http://orcid.org/0000-0002-7635-8397
Elena DrakonakiDiagnostic and Interventional Ultrasound Practice, Heraklion, Crete, Greece.ORCID http://orcid.org/0000-0002-8431-9929
Bruna Pereira de OliveiraDepartment of Radiology, Hospital Do Coração (HCor), São Paulo, São Paulo, Brazil.
Aline SerfatyMedscanlagos, Cabo Frio, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0003-4863-5913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musculoskeletal infections are uncommon but important causes of pain, impaired performance, and delayed return to play in athletes. Athletic populations are exposed to specific predisposing factors, including repetitive microtrauma, skin abrasions, hematoma formation, close-contact environments, and sports-related procedures or surgery. Because clinical manifestations frequently overlap with common sports injuries and expected postoperative changes, imaging plays a central role in early detection, assessment of disease extent, and differentiation from relevant mimickers. This review presents a compartment-based imaging approach to musculoskeletal infections in athletes, covering the main patterns of osteoarticular and soft-tissue involvement encountered in sports medicine practice. The main mechanisms of infection and their relevance in athletic populations are discussed in the context of sport-related exposures and clinical scenarios. Practical multimodality imaging strategies are emphasized, with particular attention to MRI. Key imaging features are reviewed alongside common sport-specific diagnostic pitfalls. Integration of imaging findings with clinical presentation and laboratory markers remains essential, while image-guided aspiration or biopsy continues to serve as the cornerstone for microbiologic confirmation and targeted therapy.

Indexed as

AthleteDiagnostic imagingInfectionMRISports

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.