Literature DB >> 33422031

Adapting MRI as a clinical outcome measure for a facioscapulohumeral muscular dystrophy trial of prednisone and tacrolimus: case report.

Leo H Wang1,2, Laura M Johnstone3, Michael Bindschadler4, Stephen J Tapscott5, Seth D Friedman6.   

Abstract

BACKGROUND: Facioscapulohumeral muscular dystrophy (FSHD) is a patchy and slowly progressive disease of skeletal muscle. MRI short tau inversion recovery (STIR) sequences of patient muscles often show increased hyperintensity that is hypothesized to be associated with inflammation. This is supported by the presence of inflammatory changes on biopsies of STIR-positive muscles. We hypothesized that the STIR positivity would normalize with targeted immunosuppressive therapy. CASE
PRESENTATION: 45-year-old male with FSHD type 1 was treated with 12 weeks of immunosuppressive therapy, tacrolimus and prednisone. Tacrolimus was treated to a goal serum trough of > 5 ng/mL and prednisone was tapered every month. Quantitative strength exam, functional outcome measures, and muscle MRI were performed at baseline, week 6, and week 12. The patient reported subjective worsening as reflected in quantitative strength exam. The MRI STIR signal was slightly increased from 0.02 to 0.03 of total muscle; while the T1 fat fraction was stable. Functional outcome measures also were stable.
CONCLUSIONS: Immunosuppressive therapy in refractive autoimmune myopathy in other contexts has been shown to reverse STIR signal hyperintensity, however this treatment did not reverse STIR signal in this patient with FSHD. In fact, STIR signal slightly increased throughout the treatment period. This is the first study of using MRI STIR and T1 fat fraction to follow treatment effect in FSHD. We find that STIR might not be a dynamic marker for suppressing inflammation in FSHD.

Entities:  

Keywords:  All neuromuscular disease; Case report; Facioscapulohumeral muscular dystrophy (FSHD); Muscle disease; Outcome measures

Mesh:

Substances:

Year:  2021        PMID: 33422031      PMCID: PMC7797109          DOI: 10.1186/s12891-020-03910-1

Source DB:  PubMed          Journal:  BMC Musculoskelet Disord        ISSN: 1471-2474            Impact factor:   2.362


  19 in total

1.  3D Slicer as an image computing platform for the Quantitative Imaging Network.

Authors:  Andriy Fedorov; Reinhard Beichel; Jayashree Kalpathy-Cramer; Julien Finet; Jean-Christophe Fillion-Robin; Sonia Pujol; Christian Bauer; Dominique Jennings; Fiona Fennessy; Milan Sonka; John Buatti; Stephen Aylward; James V Miller; Steve Pieper; Ron Kikinis
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

2.  MRI-informed muscle biopsies correlate MRI with pathology and DUX4 target gene expression in FSHD.

Authors:  Leo H Wang; Seth D Friedman; Dennis Shaw; Lauren Snider; Chao-Jen Wong; Chris B Budech; Sandra L Poliachik; Nancy E Gove; Leann M Lewis; Amy E Campbell; Richard J F L Lemmers; Silvère M Maarel; Stephen J Tapscott; Rabi N Tawil
Journal:  Hum Mol Genet       Date:  2019-02-01       Impact factor: 6.150

Review 3.  Facioscapulohumeral Dystrophy.

Authors:  Leo H Wang; Rabi Tawil
Journal:  Curr Neurol Neurosci Rep       Date:  2016-07       Impact factor: 5.081

4.  MRI change metrics of facioscapulohumeral muscular dystrophy: Stir and T1.

Authors:  Mark R Ferguson; Sandra L Poliachik; Christopher B Budech; Nancy E Gove; Gregory T Carter; Leo H Wang; Daniel G Miller; Dennis W W Shaw; Seth D Friedman
Journal:  Muscle Nerve       Date:  2018-03-03       Impact factor: 3.217

5.  Relationship between muscle inflammation and fat replacement assessed by MRI in facioscapulohumeral muscular dystrophy.

Authors:  Julia R Dahlqvist; Grete Andersen; Tahmina Khawajazada; Christoffer Vissing; Carsten Thomsen; John Vissing
Journal:  J Neurol       Date:  2019-02-18       Impact factor: 4.849

Review 6.  Abnormal signal intensity in skeletal muscle at MR imaging: patterns, pearls, and pitfalls.

Authors:  D A May; D G Disler; E A Jones; A A Balkissoon; B J Manaster
Journal:  Radiographics       Date:  2000-10       Impact factor: 5.333

7.  Polymyositis: its presentation, morbidity and mortality.

Authors:  R DeVere; W G Bradley
Journal:  Brain       Date:  1975-12       Impact factor: 13.501

8.  Evaluation of inflammatory lesions over 2 years in facioscapulohumeral muscular dystrophy.

Authors:  Julia R Dahlqvist; Nanna S Poulsen; Sofie T Østergaard; Freja Fornander; Josefine de Stricker Borch; Else R Danielsen; Carsten Thomsen; John Vissing
Journal:  Neurology       Date:  2020-07-01       Impact factor: 9.910

9.  CD8(+) T cells in facioscapulohumeral muscular dystrophy patients with inflammatory features at muscle MRI.

Authors:  Giovanni Frisullo; Roberto Frusciante; Viviana Nociti; Giorgio Tasca; Rosaria Renna; Raffaele Iorio; Agata Katia Patanella; Elisabetta Iannaccone; Alessandro Marti; Monica Rossi; Assunta Bianco; Mauro Monforte; Pietro Attilio Tonali; Massimiliano Mirabella; Anna Paola Batocchi; Enzo Ricci
Journal:  J Clin Immunol       Date:  2010-11-10       Impact factor: 8.317

10.  Distinct disease phases in muscles of facioscapulohumeral dystrophy patients identified by MR detected fat infiltration.

Authors:  Barbara H Janssen; Nicoline B M Voet; Christine I Nabuurs; Hermien E Kan; Jacky W J de Rooy; Alexander C Geurts; George W Padberg; Baziel G M van Engelen; Arend Heerschap
Journal:  PLoS One       Date:  2014-01-14       Impact factor: 3.240

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  1 in total

1.  Identification of candidate miRNA biomarkers for facioscapulohumeral muscular dystrophy using DUX4-based mouse models.

Authors:  Andreia M Nunes; Monique Ramirez; Takako I Jones; Peter L Jones
Journal:  Dis Model Mech       Date:  2021-08-24       Impact factor: 5.758

  1 in total

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