Literature DB >> 21572051

Thigh muscle volume measured by magnetic resonance imaging is stable over a 6-month interval in spinal muscular atrophy.

Douglas M Sproule1, Megan J Montgomery, Mark Punyanitya, Wei Shen, Stephen Dashnaw, Jacqueline Montes, Sally Dunaway, Richard Finkel, Basil Darras, Darryl C De Vivo, Petra Kaufmann.   

Abstract

Changes in thigh muscle volume over 6 months were assessed using magnetic resonance imaging in 11 subjects aged 6 to 47 years with spinal muscular atrophy (4 type 2 and 7 type 3; 4 ambulatory and 3 nonambulatory). Muscle volume with normal and abnormal signal was measured using blinded, semiautomated analysis of reconstructed data. Volumes at baseline and 6 months were correlated with clinical function at each epoch. There was minimal increase in normal (0.3 ± 1.4 mL/cm) and total (0.1 ± 1.3 mL/cm) muscle. Muscle volume correlated closely with clinical function. Minimal interval change in muscle volume is consistent with the established clinical history of minimal disease progression over intervals shorter than 1 year. Relative constancy of muscle volume estimation and correlation with established functional measures suggest a role for segmental magnetic resonance imaging as a biomarker of treatment effect in future therapeutic trials.

Entities:  

Mesh:

Year:  2011        PMID: 21572051     DOI: 10.1177/0883073811405053

Source DB:  PubMed          Journal:  J Child Neurol        ISSN: 0883-0738            Impact factor:   1.987


  9 in total

1.  Quantitative muscle ultrasound measures rapid declines over time in children with SMA type 1.

Authors:  Kay W Ng; Anne M Connolly; Craig M Zaidman
Journal:  J Neurol Sci       Date:  2015-08-28       Impact factor: 3.181

Review 2.  Skeletal Muscle Quantitative Nuclear Magnetic Resonance Imaging and Spectroscopy as an Outcome Measure for Clinical Trials.

Authors:  Pierre G Carlier; Benjamin Marty; Olivier Scheidegger; Paulo Loureiro de Sousa; Pierre-Yves Baudin; Eduard Snezhko; Dmitry Vlodavets
Journal:  J Neuromuscul Dis       Date:  2016-03-03

3.  A comparison of three electrophysiological methods for the assessment of disease status in a mild spinal muscular atrophy mouse model.

Authors:  Jia Li; Tom R Geisbush; William D Arnold; Glenn D Rosen; Phillip G Zaworski; Seward B Rutkove
Journal:  PLoS One       Date:  2014-10-27       Impact factor: 3.240

4.  Longitudinal characterization of biomarkers for spinal muscular atrophy.

Authors:  Ulrike Bonati; Štefan Holiga; Nicole Hellbach; Céline Risterucci; Tobias Bergauer; Wakana Tang; Patricia Hafner; Alain Thoeni; Oliver Bieri; Irene Gerlach; Anne Marquet; Omar Khwaja; Fabio Sambataro; Alessandro Bertolino; Juergen Dukart; Arne Fischmann; Dirk Fischer; Christian Czech
Journal:  Ann Clin Transl Neurol       Date:  2017-04-11       Impact factor: 4.511

5.  Deltoid muscle volume affects clinical outcome of reverse total shoulder arthroplasty in patients with cuff tear arthropathy or irreparable cuff tears.

Authors:  Jong Pil Yoon; Anna Seo; Jeong Jun Kim; Chang-Hwa Lee; Seung-Hun Baek; Shin Yoon Kim; Eun Taek Jeong; Kyung-Soo Oh; Seok Won Chung
Journal:  PLoS One       Date:  2017-03-29       Impact factor: 3.240

6.  Hyperleptinemia in children with autosomal recessive spinal muscular atrophy type I-III.

Authors:  Heike Kölbel; Berthold P Hauffa; Stefan A Wudy; Anastasios Bouikidis; Adela Della Marina; Ulrike Schara
Journal:  PLoS One       Date:  2017-03-09       Impact factor: 3.240

7.  Limb volume measurements: comparison of accuracy and decisive parameters of the most used present methods.

Authors:  Adam Chromy; Ludek Zalud; Petr Dobsak; Igor Suskevic; Veronika Mrkvicova
Journal:  Springerplus       Date:  2015-11-19

8.  Magnetic resonance imaging of the cervical spinal cord in spinal muscular atrophy.

Authors:  Marloes Stam; Wieke Haakma; Lidy Kuster; Martijn Froeling; Marielle E P Philippens; Clemens Bos; Alexander Leemans; Louise A M Otto; Leonard H van den Berg; Jeroen Hendrikse; W Ludo van der Pol
Journal:  Neuroimage Clin       Date:  2019-09-03       Impact factor: 4.881

9.  Multi-parametric quantitative magnetic resonance imaging of the upper arm muscles of patients with spinal muscular atrophy.

Authors:  Melissa T Hooijmans; Laura E Habets; Sandra A M van den Berg-Faay; Martijn Froeling; Fay-Lynn Asselman; Gustav J Strijkers; Jeroen A L Jeneson; Bart Bartels; Aart J Nederveen; W Ludo van der Pol
Journal:  NMR Biomed       Date:  2022-02-14       Impact factor: 4.478

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.