Literature DB >> 26119801

The trefoil with single fruit sign in muscle magnetic resonance imaging is highly specific for dystrophinopathies.

Yiming Zheng1, Wenzhu Li1, Jing Du2, Suqin Jin1, Shanglin Li1, Yawen Zhao1, Chunxiao Xu1, Zhaoxia Wang1, He Lv1, Wei Zhang1, Jiangxi Xiao2, Yun Yuan3.   

Abstract

BACKGROUND: The purpose of this study was to evaluate the diagnostic value of the trefoil (three leaflets formed by relative sparing of the sartorius, gracilis, and adductor longus) with single fruit sign (relative sparing of the semitendinosus) in the evaluation of thigh muscle magnetic resonance imaging (MRI) for dystrophinopathies.
METHODS: Five examiners blinded to any clinical data analyzed muscle MRI scans from 166 patients with dystrophinopathies (124 cases confirmed genetically and 42 cases confirmed by immunohistochemistry) and from 244 control patients, all treated in our hospital from 2011 to 2014. The controls were patients with other neuromuscular disorders and with dystrophinopathies excluded by genetic testing and/or muscle biopsy. Examiners assessed the presence or absence of the trefoil with single fruit sign approximately at the middle thigh cross-section. Results were analyzed for diagnostic accuracy and inter-examiner agreement.
RESULTS: Sensitivity of the trefoil with single fruit sign for all patients with dystrophinopathies was 41.6% (95% confidence interval (CI) of 34.0-49.5). However, specificity was 99.2% (95% CI 97.1-99.9). The positive predictive value (PPV) was 97.2% and negative predictive value (NPV) was 71.4%. Inter-examiner agreement was substantial (Kappa=0.66). The 69 dystrophinopathy patients whose MRIs exhibited the sign were significantly older than the 97 dystrophinopathy patients whose MRIs did not (Z=-3.970, P<0.001).
CONCLUSIONS: The trefoil with single fruit sign is a potential imaging marker for diagnosis of dystrophinopathies.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Dystrophinopathy; Muscle MRI; Specificity

Mesh:

Substances:

Year:  2015        PMID: 26119801     DOI: 10.1016/j.ejrad.2015.06.011

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  5 in total

Review 1.  MR imaging of inherited myopathies: a review and proposal of imaging algorithms.

Authors:  Laís Uyeda Aivazoglou; Julio Brandão Guimarães; Thomas M Link; Maria Alice Freitas Costa; Fabiano Nassar Cardoso; Bruno de Mattos Lombardi Badia; Igor Braga Farias; Wladimir Bocca Vieira de Rezende Pinto; Paulo Victor Sgobbi de Souza; Acary Souza Bulle Oliveira; Alzira Alves de Siqueira Carvalho; André Yui Aihara; Artur da Rocha Corrêa Fernandes
Journal:  Eur Radiol       Date:  2021-04-21       Impact factor: 5.315

2.  A deep learning model for diagnosing dystrophinopathies on thigh muscle MRI images.

Authors:  Mei Yang; Yiming Zheng; Zhiying Xie; Zhaoxia Wang; Jiangxi Xiao; Jue Zhang; Yun Yuan
Journal:  BMC Neurol       Date:  2021-01-11       Impact factor: 2.474

3.  "Target" and "Sandwich" Signs in Thigh Muscles have High Diagnostic Values for Collagen VI-related Myopathies.

Authors:  Jun Fu; Yi-Ming Zheng; Su-Qin Jin; Jun-Fei Yi; Xiu-Juan Liu; He Lyn; Zhao-Xia Wang; Wei Zhang; Jiang-Xi Xiao; Yun Yuan
Journal:  Chin Med J (Engl)       Date:  2016-08-05       Impact factor: 2.628

4.  Magnetic Resonance Imaging Findings in the Muscle Tissue of Patients with Limb Girdle Muscular Dystrophy Type 2I Harboring the Founder Mutation c.545A>G in the FKRP Gene.

Authors:  Zhiying Xie; Jiangxi Xiao; Yiming Zheng; Zhaoxia Wang; Yun Yuan
Journal:  Biomed Res Int       Date:  2018-05-29       Impact factor: 3.411

5.  Muscle Magnetic Resonance Imaging in Patients with Various Clinical Subtypes of LMNA-Related Muscular Dystrophy.

Authors:  Hui-Ting Lin; Xiao Liu; Wei Zhang; Jing Liu; Yue-Huan Zuo; Jiang-Xi Xiao; Ying Zhu; Yun Yuan; Zhao-Xia Wang
Journal:  Chin Med J (Engl)       Date:  2018-06-20       Impact factor: 2.628

  5 in total

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