Literature DB >> 32495452

MRI in Neuromuscular Diseases: An Emerging Diagnostic Tool and Biomarker for Prognosis and Efficacy.

Julia R Dahlqvist1, Per Widholm2,3, Olof Dahlqvist Leinhard2,3, John Vissing1.   

Abstract

There is an unmet need to identify biomarkers sensitive to change in rare, slowly progressive neuromuscular diseases. Quantitative magnetic resonance imaging (MRI) of muscle may offer this opportunity, as it is noninvasive and can be carried out almost independent of patient cooperation and disease severity. Muscle fat content correlates with muscle function in neuromuscular diseases, and changes in fat content precede changes in function, which suggests that muscle MRI is a strong biomarker candidate to predict prognosis and treatment efficacy. In this paper, we review the evidence suggesting that muscle MRI may be an important biomarker for diagnosis and to monitor change in disease severity. ANN NEUROL 2020;88:669-681.
© 2020 American Neurological Association.

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Year:  2020        PMID: 32495452     DOI: 10.1002/ana.25804

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  8 in total

1.  Quantitative water T2 relaxometry in the early detection of neuromuscular diseases: a retrospective biopsy-controlled analysis.

Authors:  Noah Locher; Benedikt Wagner; Fabian Balsiger; Olivier Scheidegger
Journal:  Eur Radiol       Date:  2022-05-21       Impact factor: 5.315

Review 2.  Radiologic Definition of Sarcopenia in Chronic Liver Disease.

Authors:  Chul-Min Lee; Bo Kyeong Kang; Mimi Kim
Journal:  Life (Basel)       Date:  2021-01-25

3.  Correlation Between Respiratory Accessory Muscles and Diaphragm Pillars MRI and Pulmonary Function Test in Late-Onset Pompe Disease Patients.

Authors:  David Reyes-Leiva; Jorge Alonso-Pérez; Mercedes Mayos; Claudia Nuñez-Peralta; Jaume Llauger; Izaskun Belmonte; Irene Pedrosa-Hernández; Sonia Segovia; Jordi Díaz-Manera
Journal:  Front Neurol       Date:  2021-03-01       Impact factor: 4.003

4.  Longitudinal Quantitative MRI Evaluation of Muscle Involvement in Amyotrophic Lateral Sclerosis.

Authors:  Matteo Paoletti; Luca Diamanti; Shaun I Muzic; Elena Ballante; Francesca Solazzo; Lia Foppoli; Xeni Deligianni; Francesco Santini; Silvia Figini; Niels Bergsland; Anna Pichiecchio
Journal:  Front Neurol       Date:  2021-11-24       Impact factor: 4.003

5.  Utilization of T1-Mapping for the pelvic and thigh muscles in Duchenne Muscular Dystrophy: a quantitative biomarker for disease involvement and correlation with clinical assessments.

Authors:  Fei Peng; Huayan Xu; Yu Song; Ke Xu; Shuhao Li; Xiaotang Cai; Yingkun Guo; Lianggeng Gong
Journal:  BMC Musculoskelet Disord       Date:  2022-07-16       Impact factor: 2.562

6.  Patients With Becker Muscular Dystrophy Have Severe Paraspinal Muscle Involvement.

Authors:  Aisha M Sheikh; Karen Rudolf; Josefine de Stricker Borch; Tahmina Khawajazada; Nanna Witting; John Vissing
Journal:  Front Neurol       Date:  2021-05-21       Impact factor: 4.003

7.  Clinical and Neuroimaging Features in Charcot-Marie-Tooth Patients with GNB4 Mutations.

Authors:  Hye Mi Kwon; Hyun Su Kim; Sang Beom Kim; Jae Hong Park; Da Eun Nam; Ah Jin Lee; Soo Hyun Nam; Soohyun Hwang; Ki Wha Chung; Byung-Ok Choi
Journal:  Life (Basel)       Date:  2021-05-28

8.  Different Approaches to Analyze Muscle Fat Replacement With Dixon MRI in Pompe Disease.

Authors:  Alicia Alonso-Jiménez; Claudia Nuñez-Peralta; Paula Montesinos; Jorge Alonso-Pérez; Carme García; Elena Montiel; Izaskun Belmonte; Irene Pedrosa; Sonia Segovia; Jaume Llauger; Jordi Díaz-Manera
Journal:  Front Neurol       Date:  2021-07-08       Impact factor: 4.003

  8 in total

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