Evidence map›Paper›PMID 41244231›Full record

ArticleOrthopaedic journal of sports medicine2025

Reliability of Preoperative Magnetic Resonance Imaging in Determining the Anterior Cruciate Ligament Tear Location.

Andre Yanuar, Calvin Calvin, Rani Maria, Miftakhul Jannah Kurniawati, Ghuna Arioharjo Utoyo

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Article in Orthopaedic journal of sports medicine, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Andre YanuarDepartment of Orthopaedics and Traumatology, St Borromeus Hospital, Bandung, Indonesia.ORCID https://orcid.org/0000-0001-7721-5112
Calvin CalvinDepartment of Orthopaedics and Traumatology, St Borromeus Hospital, Bandung, Indonesia.ORCID https://orcid.org/0009-0008-3066-0284
Rani MariaDepartment of Radiology, St Borromeus Hospital, Bandung, Indonesia.
Miftakhul Jannah KurniawatiDepartment of Radiology, Dr Kariadi General Hospital, Diponegoro University, Semarang, Indonesia.
Ghuna Arioharjo UtoyoDepartment of Orthopaedics and Traumatology, St Borromeus Hospital, Bandung, Indonesia.ORCID https://orcid.org/0000-0002-2449-2690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The accurate identification of the anterior cruciate ligament (ACL) tear location is important for preoperative planning, as it influences the choice between reconstruction or repair procedures, particularly for proximal tears. Therefore, there is a need for a reliable preoperative tool that yields findings consistent with diagnostic arthroscopy. Purpose: To evaluate the reliability of preoperative magnetic resonance imaging (MRI) for determination of the ACL tear location. Study Design: Cohort study (diagnosis); Level of evidence, 2. Methods: Patients diagnosed with a full-thickness ACL tear between January 2022 and January 2024 were included in this study. The modified Sherman classification was used to categorize the ACL tear location into 5 types: I (proximal avulsion tear), II (proximal tear), III (midsubstance tear), IV (distal tear), and V (distal avulsion tear). There were 2 musculoskeletal radiologists who reviewed preoperative MRI scans, whereas diagnostic arthroscopic video recordings were retrospectively reviewed by 2 orthopaedic surgeons. The MRI findings were then compared with the arthroscopic findings, with diagnostic arthroscopy serving as the reference standard for the exact tear location. The Fleiss kappa (κ) was used to assess the reliability of the MRI findings. Results: A total of 41 patients were included in this study. The rate of agreement between radiologists regarding the tear location based on preoperative MRI scans was 61.0% (25/41), while the rate of agreement between surgeons based on diagnostic arthroscopic video recordings was 87.8% (36/41). The interrater agreement between radiologists was moderate (κ = 0.460), whereas the interrater agreement between surgeons was excellent (κ = 0.833). The rate of agreement between radiologist 1 and surgeon 1 was 70.7% (29/41), and that between radiologist 1 and surgeon 2 was 75.6% (31/41). For radiologist 2, the rate of agreement was 75.6% (31/41) with both surgeon 1 and surgeon 2. The overall reliability analysis indicated good agreement (κ = 0.648) between the MRI and arthroscopic findings. Conclusion: Preoperative MRI reliably identified the tear location, with a good strength of agreement between preoperative MRI and diagnostic arthroscopy. Nevertheless, despite its reliability, the interrater agreement between radiologists in interpreting preoperative MRI scans was only moderate, whereas surgeons achieved excellent agreement based on diagnostic arthroscopic video recordings.

Indexed as

anterior cruciate ligamentdiagnostic arthroscopymagnetic resonance imagingreliabilitytear location

Identifiers

PMID41244231
PMCPMC12612506

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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.