Evidence map›Paper›PMID 39806120›Full record

SynthesisSkeletal radiology2025

The diagnostic accuracy of ultrasound in assessing anterior cruciate ligament tears: a systematic review and meta-analysis.

Gabriella Schreiner, Stephen Fucaloro, Mark Ward, Laura Krivicich, Jack Bragg, Matthew Harkey, Matthew Salzler

Abstract readMeta-AnalysisSystematic Review
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In one paragraph

Synthesis in Skeletal radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

7 authors.

Gabriella SchreinerTufts University School of Medicine, Boston, MA, USA.
Stephen FucaloroTufts University School of Medicine, Boston, MA, USA.
Mark WardTufts University School of Medicine, Boston, MA, USA.
Laura KrivicichDepartment of Orthopaedic Surgery, Tufts Medical Center, Boston, MA, USA.
Jack BraggDepartment of Orthopaedic Surgery, Tufts Medical Center, Boston, MA, USA.
Matthew HarkeyAthletic Injury and Rehabilitation Labs, Michigan State University, East Lansing, MI, USA.
Matthew SalzlerDepartment of Orthopaedic Surgery, Tufts Medical Center, Boston, MA, USA. matthew.salzler@tuftsmedicine.org.ORCID http://orcid.org/0000-0002-9928-0879

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in technology and affordability of ultrasound (US) have expanded its use in the evaluation of musculoskeletal injuries. However, US accuracy for diagnosing anterior cruciate ligament (ACL) injuries remains inconsistently reported in the literature. HYPOTHESIS/PURPOSE: Systematically review the literature and perform a meta-analysis to statistically evaluate the accuracy of US in diagnosing ACL tears.

methodsPubMed, Embase, and Web of Science databases were queried for studies comparing US to MRI or arthroscopy for diagnosing ACL tears. Studies evaluating US techniques including anterior tibial translation relative to the femur, hematoma at the ACL insertion ("notch sign"), or direct ACL visualization were pooled using random-effects models to generate sensitivity, specificity, positive predictive values (PPV), and negative predictive values (NPV). A p-value less than 0.05 was used to indicate statistical significance.

resultsAcross 12 studies, US correctly identified 419/518 (81%) of confirmed ACL injuries and 425/465 (91%) of uninjured ACLs. Meta-analysis showed high overall specificity (92%, I

conclusionUltrasound demonstrates high specificity (92%) and PPV (92%) for diagnosis of ACL tears compared to confirmed tears but is limited by fair sensitivity (84%) and NPV (83%).

Indexed as

Anterior Cruciate Ligament InjuriesHumansReproducibility of ResultsSensitivity and SpecificityUltrasonographyACL tearAnterior cruciate ligament (ACL)DiagnosisSensitivitySpecificityUltrasound

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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.