Literature DB >> 29396088

Magnetic resonance imaging (MRI) of the knee: Identification of difficult-to-diagnose meniscal lesions.

F Lecouvet1, T Van Haver2, S Acid2, V Perlepe2, T Kirchgesner2, B Vande Berg2, P Triqueneaux2, M-L Denis2, E Thienpont2, J Malghem2.   

Abstract

This article characterizes common meniscal pathologies, reviews magnetic resonance imaging (MRI) diagnostic criteria for meniscal tears, and identifies difficult-to-detect tears and fragments and the best MRI sequences and practices for recognizing these lesions. These difficult-to-diagnose meniscal lesions that radiologists should consider include tears, meniscocapsular separation lesions, and displaced meniscal fragments. Meniscus tears are either vertical, which are generally associated with traumatic injury, horizontal, which are associated with degenerative injury, or combinations of both. MRI has a high sensitivity for tears but not for fragments; MRI performance is also better for medial than lateral meniscal lesions. Fragment detection can be improved by recognizing signs secondary to migration, especially signs of epiphyseal irritation and mechanical impingement. Radial and peripheral tears, as well as those close to the posterior horn insertion, have been traditionally difficult to detect, but improvements in arthroscopic knowledge, identification of common lesion patterns, and selection of the proper MRI sequence and plane for each lesion type mean that, when properly used, MRI is an invaluable tool in detecting all types of meniscal tears.
Copyright © 2017 Éditions françaises de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Arthroscopy; Knee; Magnetic resonance imaging (MRI); Meniscus

Mesh:

Year:  2018        PMID: 29396088     DOI: 10.1016/j.diii.2017.12.005

Source DB:  PubMed          Journal:  Diagn Interv Imaging        ISSN: 2211-5684            Impact factor:   4.026


  5 in total

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Authors:  Mathieu Thaunat; Pramod S Ingale; Thais Dutra Vieira; Gaspard Auboyneau; Abid Ghazi; Bertrand Sonnery-Cottet
Journal:  Arch Orthop Trauma Surg       Date:  2020-06-07       Impact factor: 3.067

2.  Meniscal ramp lesions: frequency, natural history, and the effect on knee cartilage over 2 years in subjects with anterior cruciate ligament tears.

Authors:  Julio Brandao Guimaraes; Benedikt J Schwaiger; Alexandra S Gersing; Jan Neumann; Luca Facchetti; Xiaojuan Li; Gabby B Joseph; Thomas M Link
Journal:  Skeletal Radiol       Date:  2020-09-08       Impact factor: 2.128

3.  Feasibility of Constructing an Automatic Meniscus Injury Detection Model Based on Dual-Mode Magnetic Resonance Imaging (MRI) Radiomics of the Knee Joint.

Authors:  Yi Wang; Yuanzhe Li; Meiling Huang; Qingquan Lai; Jing Huang; Jiayang Chen
Journal:  Comput Math Methods Med       Date:  2022-03-29       Impact factor: 2.238

4.  Deep Learning-Based Magnetic Resonance Imaging Image Features for Diagnosis of Anterior Cruciate Ligament Injury.

Authors:  Zijian Li; Shiyou Ren; Ri Zhou; Xiaocheng Jiang; Tian You; Canfeng Li; Wentao Zhang
Journal:  J Healthc Eng       Date:  2021-07-02       Impact factor: 2.682

5.  The association of meniscal body height with knee structural changes in middle-aged and elderly patients with symptomatic knee osteoarthritis.

Authors:  Yao Liu; Guiying Du
Journal:  Br J Radiol       Date:  2021-06-30       Impact factor: 3.629

  5 in total

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