Evidence map›Paper›PMID 39451466›Full record

ArticleHealthcare (Basel, Switzerland)2024

The Utility of a Community-Based Knee Ultrasound in Detecting Meniscal Tears: A Retrospective Analysis in Comparison with MRI.

Fatima Awan, Prosanta Mondal, Johannes M van der Merwe, Nicholas Vassos, Haron Obaid

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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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

5 authors.

Fatima AwanCollege of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
Prosanta MondalClinical Research Support Unit, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada.
Johannes M van der MerweSection of Orthopedic Surgery, Department of Surgery, College of Medicine, University of Saskatchewan, Saskatoon, SK S7K 0M5, Canada.ORCID 0000-0001-9778-9594
Nicholas VassosDepartment of Medical Imaging, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada.
Haron ObaidDepartment of Medical Imaging, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada.ORCID 0000-0001-6223-6818

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesMRI is the gold standard for detecting meniscal tears; however, ultrasound may readily detect meniscal changes, obviating the need for MRI. We aim to (1) determine ultrasound sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy in detecting meniscal changes, and (2) describe characteristic meniscal changes in US and their prevalence.

methodsA retrospective analysis of knee ultrasound scans for the presence of medial and lateral meniscal tears was conducted. Meniscal changes were characterized into five US appearances (cleft, diminutive, cyst, displaced fragment, and extrusion) by the consensus of two musculoskeletal radiologists. Ultrasound findings were then compared to MRI results.

resultsIn total, 249 patients were included. Ultrasound sensitivity, specificity, PPV, NPV, and accuracy for medial meniscal tears were 79%, 97.3%, 95.3%, 86.6%, and 90%, respectively, and for lateral meniscal tears the ultrasound sensitivity, specificity, PPV, NPV, and accuracy were 63%, 99.5%, 96%, 93%, and 93.6%, respectively. The false negative and false positive rates for medial meniscal tears were 13.4% and 4.7%, respectively, and for the lateral meniscus, the false negative and false positive rates were 6.7% and 3.8%, respectively. Meniscal clefts were the most prevalent appearance in the medial meniscus followed by extrusions. Meniscal extrusions were the most prevalent appearance in the lateral meniscus followed by clefts.

conclusionsCommunity-based US is highly accurate in the detection of meniscal tears when compared with MRI, making it a valuable diagnostic imaging tool for detecting meniscal tears in a community setting where accessibility to MRI is limited or if there are MRI contraindications.

Indexed as

diagnostic imagingknee injuriesmeniscuspredictive value of testsprevalencetibia

Identifiers

PMID39451466
PMCPMC11506933

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