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Published in: Journal of Digital Imaging 6/2022

06-06-2022 | Pathology

Attachment Type, Thickness, and Volume of the Posterior Meniscofemoral Ligament and Meniscal Pathology

Authors: Myung Sub Kim, Hee Jin Park, Su Ji Kim, Ji Na Kim

Published in: Journal of Imaging Informatics in Medicine | Issue 6/2022

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Abstract

Several studies have investigated the relationship between the thickness of the posterior meniscofemoral ligament (pMFL) and the presence of a discoid meniscus. We investigated the correlation between meniscal pathology and anatomic features of pMFL such as attachment type, thickness, and volume. We retrospectively evaluated 191 patients who underwent knee MRI. MR images were reviewed to assess the attachment type of the pMFL on the medial femoral condyle (high vs. low), the thickness of the pMFL, and the presence of a meniscal tear or a discoid meniscus. The pMFL volume was quantified by using three-dimensional (3D) segmentation software. The relationship between the frequency of medial or lateral meniscal tear and anatomic features of pMFL were analyzed using Chi-square, Fisher’s exact, or Mann–Whitney U test. High type pMFLs had significantly greater thickness and volume than low type pMFLs (p < 0.001). Patients with degenerative lateral meniscal tear had significantly higher thickness and volume of the pMFL than patients with intact lateral meniscus (p < 0.05). The pMFL thickness and volume were not significantly related to traumatic lateral meniscal tear, medial meniscal tear, and discoid meniscus. High type pMFLs tended to be thicker and larger than low type pMFLs and higher thickness and volume of the pMFL was significantly related to the degenerative lateral meniscal tear. However, the attachment type of the pMFL itself was not significantly related to the lateral meniscal tear as well as the medial meniscal tear.
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Metadata
Title
Attachment Type, Thickness, and Volume of the Posterior Meniscofemoral Ligament and Meniscal Pathology
Authors
Myung Sub Kim
Hee Jin Park
Su Ji Kim
Ji Na Kim
Publication date
06-06-2022
Publisher
Springer International Publishing
Keyword
Pathology
Published in
Journal of Imaging Informatics in Medicine / Issue 6/2022
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-022-00651-6

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