Literature DB >> 32920879

Three-dimensional and 3-Tesla MRI morphometry of knee meniscus in normal and pathologic state.

Samar Kayfan1, Rocco Hlis1, Parham Pezeshk1, Jay Shah2, Feng Poh1,3, Christopher McCrum2, Avneesh Chhabra1,2.   

Abstract

INTRODUCTION: To conduct a morphometric analysis of intact and torn menisci using isotropic meniscus plane three-dimensional (3D) reconstructions on 3-Tesla MRI and compare 2D versus 3D MRI for meniscus tear characterization.
MATERIALS AND METHODS: One hundred thirty three normal menisci from 92 patients (39 male, 53 female), and 38 arthroscopy-proven torn menisci from 36 patients (23 male, 13 female) were evaluated using 3D isotropic multi-planar MRI reconstructions and 2D MRI. Two observers measured the tibial plateau height and area, meniscal height, axial plane cross-sectional areas, and extrusion of intact menisci. Two observers also measured the meniscal tear length, tear area, and residual area of pathological menisci on 2D and 3D MRI. Intraclass correlation coefficients (ICC) were obtained. Institutional Review Board approval was obtained, and the informed consent was waived.
RESULTS: Medial meniscus (MM) and lateral meniscus (LM) areas were 503.6 ± 85.1 mm2 and 396.6 ± 72.0 mm2 for Observer 1, and 515.8 ± 82.1 mm2 and 408.0 ± 68.3 mm2 for Observer 2 (ICC:0.86, 0.87). In torn menisci, average tear length, area, and residual area were 36.3 ± 13.6 mm, 182.6 ± 139.3 mm2 , and 235.4 ± 140.3 mm2 , respectively for Observer 1, and 38.9 ± 14.7 mm, 181.2 ± 135.6 mm2 , 238.2 ± 140.5 mm2 for Observer 2. In the MM and LM, bucket-handle and complex tears were largest in areas, respectively. ICCs were excellent (0.91-1.0) on 3D MRI and moderate-good (0.57-0.81) on 2D MRI.
CONCLUSION: Meniscus morphometry on 3D MRI shows moderate to excellent inter-observer reliability and meniscus tear extent is more reliably defined on 3D MRI than 2D MRI. Residual meniscus-area calculation can be performed on 3D MRI.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  3-D imaging; MRI; knee; magnetic resonance imaging; meniscus

Mesh:

Year:  2020        PMID: 32920879     DOI: 10.1002/ca.23679

Source DB:  PubMed          Journal:  Clin Anat        ISSN: 0897-3806            Impact factor:   2.414


  2 in total

1.  Identification and diagnosis of meniscus tear by magnetic resonance imaging using a deep learning model.

Authors:  Jie Li; Kun Qian; Jinyong Liu; Zhijun Huang; Yuchen Zhang; Guoqian Zhao; Huifen Wang; Meng Li; Xiaohan Liang; Fang Zhou; Xiuying Yu; Lan Li; Xingsong Wang; Xianfeng Yang; Qing Jiang
Journal:  J Orthop Translat       Date:  2022-06-26       Impact factor: 4.889

Review 2.  3D isotropic spine echo MR imaging of elbow: How it helps surgical decisions.

Authors:  Bayan Mogharrabi; Alison Cabrera; Avneesh Chhabra
Journal:  Eur J Radiol Open       Date:  2022-03-04
  2 in total

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