Evidence map›Paper›PMID 41627381›Full record

ReviewSkeletal radiology2026

Septic knee: multimodality approach.

Aline Serfaty, Elena Drakonaki, Tatiane Cantarelli Rodrigues

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

3 authors.

Aline SerfatyMedscanlagos Radiology, Cabo Frio, Rio de Janeiro, Brazil. alineserfaty@gmail.com.ORCID http://orcid.org/0000-0003-4863-5913
Elena DrakonakiDiagnostic and Interventional Ultrasound Practice, Heraklion, Crete, Greece.ORCID http://orcid.org/0000-0002-3629-3277
Tatiane Cantarelli RodriguesDepartment of Radiology, Radiation Oncology and Medical Physics, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0002-7635-8397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Septic arthritis of the knee is an acute infection that can rapidly destroy articular cartilage if not promptly recognized and treated. Early diagnosis is often difficult because symptoms overlap with crystal or inflammatory arthropathies and post-traumatic effusions, while fever and laboratory markers may be absent or nonspecific. Synovial fluid analysis remains the diagnostic cornerstone, but imaging is essential to confirm effusion, define the extent of synovitis and periarticular involvement, and detect complications such as osteomyelitis or abscess. Radiography provides a rapid baseline, ultrasound is highly sensitive for effusion and guides aspiration, and CT is valuable for cortical destruction and deep soft-tissue mapping. MRI offers the most comprehensive early assessment, revealing synovial enhancement, bone-marrow edema, and occult abscesses. Nuclear medicine studies, including labeled leukocyte scintigraphy and FDG PET/CT, are useful in complex or periprosthetic settings and for monitoring therapy. Staphylococcus aureus remains the leading pathogen, followed by streptococci and Gram-negative bacilli, with atypical and fungal infections mainly in immunocompromised hosts. A stepwise, multimodality imaging strategy enhances diagnostic confidence and guides timely intervention, while advances such as metal-artifact reduction, radiomics, and hybrid imaging hold promise for improving accuracy and standardization in native knee infections.

Indexed as

Arthritis, InfectiousKnee JointMultimodal ImagingDiagnosis, DifferentialHumansMagnetic Resonance ImagingCTKnee infectionMRINuclear medicineSeptic arthritis

Identifiers

What OpenQuestion 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 OpenQuestion graph.