Document Detail


Ultrasound Tissue Characterization Does Not Differentiate Genotype, But Indexes Ejection Fraction Deterioration in Becker Muscular Dystrophy.
MedLine Citation:
PMID:  25308949     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The aims of the study were, first, to assess whether myocardial ultrasound tissue characterization (UTC) in Becker muscular dystrophy (BMD) can be used to differentiate between patients with deletions and those without deletions; and second, to determine whether UTC is helpful in diagnosing the evolution of left ventricular dysfunction, a precursor of dilated cardiomyopathy. Both cyclic variation of integrated backscatter and calibrated integrated backscatter (cIBS) were assessed in 87 patients with BMD and 70 controls. The average follow-up in BMD patients was 48 ± 12 mo. UTC analysis was repeated only in a subgroup of 40 BMD patients randomly selected from the larger overall group (15 with and 25 without left ventricular dysfunction). Discrimination between BMD patients with and without dystrophin gene deletion was not possible on the basis of UTC data: average cvIBS was 5.2 ± 1.2 and 5.5 ± 1.4 dB, and average cIBS was 29.9 ± 4.7 and 29.6 ± 5.8, respectively, significantly different (p < 0.001) only from controls (8.6 ± 0.5 and 24.6 ± 1.2 dB). In patients developing left ventricular dysfunction during follow-up, cIBS increased to 31.3 ± 5.4 dB, but not significantly (p = 0.08). The highest cIBS values (34.6 ± 5.3 dB, p < 0.09 vs. baseline, p < 0.01 vs BMD patients without left ventricular dysfunction) were seen in the presence of severe left ventricular dysfunction. Multivariate statistics indicated that an absolute change of 6 dB in cIBS is associated with a high probability of left ventricular dysfunction. UTC analysis does not differentiate BMD patients with or without dystrophin gene deletion, but may be useful in indexing left ventricular dysfunction during follow-up.
Authors:
Vincenzo Giglio; Paolo Emilio Puddu; Mark R Holland; Giovanni Camastra; Gerardo Ansalone; Enzo Ricci; Julia Mela; Federico Sciarra; Marco Di Gennaro
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-10-9
Journal Detail:
Title:  Ultrasound in medicine & biology     Volume:  -     ISSN:  1879-291X     ISO Abbreviation:  Ultrasound Med Biol     Publication Date:  2014 Oct 
Date Detail:
Created Date:  2014-10-13     Completed Date:  -     Revised Date:  2014-10-14    
Medline Journal Info:
Nlm Unique ID:  0410553     Medline TA:  Ultrasound Med Biol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.
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