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Regional Variability in Longitudinal Strain Across Vendors in Patients With Cardiomyopathy Due to Increased Left Ventricular Wall Thickness

Authors :
Kimi Sato
Brett W. Sperry
Wael A. Jaber
Milind Y. Desai
Zoran B. Popović
Richard A. Grimm
Dermot Phelan
Mazen Hanna
Source :
Circulation: Cardiovascular Imaging. 12
Publication Year :
2019
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2019.

Abstract

Background: Cardiomyopathies with increased left ventricular wall thickness such as cardiac amyloidosis, septal hypertrophic cardiomyopathy (HCM), and apical HCM exhibit characteristic regional longitudinal strain (LS) patterns. However, between-vendor agreement of segmental and regional LS has not been tested in these diseases. We sought to assess LS values among vendors in specific cardiomyopathies that exhibit regional strain variation: cardiac amyloidosis, septal HCM, and apical HCM. Methods: This was a prospective, cross-sectional study of 69 patients (18 amyloidosis, 30 septal HCM, 6 apical HCM, and 15 controls) who underwent clinically indicated outpatient echocardiography at the Cleveland Clinic. Peak systolic segmental, regional (basal, mid, and apical), and global LS were evaluated using GE (EchoPAC), Siemens (Velocity Vector Imaging), and Phillips (QLab) systems in the same imaging session. Between-vendor, differences were analyzed using correlation coefficients, Bland Altman plots, and a mixed model. Results: Global LS was highly correlated among the 3 software packages and most abnormal in patients with amyloidosis ( P P Conclusions: Global and regional variations in LS exist between-vendors in patients with cardiomyopathies with increased left ventricular wall thickness (amyloidosis, septal HCM, and apical HCM). It is important to be aware of these differences for diagnosis, prognosis, and serial examinations in these conditions.

Details

ISSN :
19420080 and 19419651
Volume :
12
Database :
OpenAIRE
Journal :
Circulation: Cardiovascular Imaging
Accession number :
edsair.doi.dedup.....0b40ca9419c8a6371a579547b7761b20
Full Text :
https://doi.org/10.1161/circimaging.119.008973