Evidence map›Paper›PMID 34557951›Full record

ArticleSkeletal radiology2022

The accuracy of routine knee MR imaging in detection of acute neurovascular injury following multiligamentous knee injury.

Angela Atinga, Dawn H Pearce, Daniel B Whelan, Ali Naraghi, Lawrence M White

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Article in Skeletal radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Angela AtingaDepartment of Medical Imaging, Faculty of Medicine, University of Toronto, Mount Sinai Hospital, 600 University Avenue, Toronto, ON, M5G1X5, Canada. angela.atinga@sunnybrook.ca.ORCID http://orcid.org/0000-0002-6681-6008
Dawn H PearceDepartment of Medical Imaging, Faculty of Medicine, University of Toronto, St Michael's Hospital, 30 Bond St, Toronto, ON, M5B 1W8, Canada.
Daniel B WhelanDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Toronto, St Michael's Hospital, 30 Bond St, Toronto, ON, M5B 1W8, Canada.
Ali NaraghiDepartment of Medical Imaging, Faculty of Medicine, University of Toronto, Toronto Western Hospital, 399 Bathurst St, Toronto, ON, M5T 2S8, Canada.
Lawrence M WhiteDepartment of Medical Imaging, Faculty of Medicine, University of Toronto, Mount Sinai Hospital, 600 University Avenue, Toronto, ON, M5G1X5, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the accuracy of routine knee MRI in detecting acute popliteal artery and/or common peroneal nerve (CPN) dysfunction following multiligamentous knee injury (MLKI), with correlation of MRI findings to clinical outcome. MATERIALS AND

methodsRoutine MRI knee examinations in 115 MLKI patients (54/115 with acute neurovascular injury, 61/115 without neurovascular injury) were retrospectively reviewed. Cases were classified by injury mechanism and ligamentous injuries sustained. MRI examinations were reviewed by two readers for vascular (arterial flow void, arterial calibre, intimal flap, perivascular hematoma) and CPN (intraneural T2-hyperintensity, calibre, discontinuity, perineural hematoma) injuries. Accuracy of routine knee MRI in the diagnosis of acute neurovascular injury and correlation of MRI findings to clinical outcome were evaluated.

resultsPatients included 86/115 males, mean age 33 years. The accuracy of MRI in diagnosis of acute CPN injury was 80.6%, 83.6% (readers 1 and 2): sensitivity (78%, 79.7%), specificity (80%, 86.7%), PPV (78%, 82.5%), and NPV (82.7%, 84.4%). Increased intraneural T2 signal showed a significant correlation to acute CPN dysfunction (p < 0.05). MRI was 75%, 69.8% (readers 1 and 2) accurate in detecting acute vascular injury: sensitivity (73.3%, 86.7%), specificity (75.2%, 67.3%), PPV (30.5%, 36.1%), and NPV (95%, 97.1%). No MRI features of vascular injury showed a statistical correlation with clinical outcome. Neurovascular complications were more common in ultra-low-energy injuries and KD-V3L pattern of ligament disruption.

conclusionRoutine MRI is of limited accuracy in assessing vascular complication, but higher accuracy in assessing CPN injury following MLKI. Increased intraneural T2 signal on conventional knee MR imaging shows statistically significant association with clinically documented acute CPN dysfunction following MLKI.

Indexed as

Knee DislocationKnee InjuriesVascular System InjuriesAdultHumansMagnetic Resonance ImagingMaleRetrospective StudiesCommon peroneal nerve injuryKnee dislocationKnee MRIMultiligamentous knee injuryPopliteal artery injury

Identifiers

PMID34557951

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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.