Clinical Research
Early identification of gene mutation carriers in familiar hypertrophic cardiomyopathy with three-dimensional speckle tracking echocardiography
Xu Dan, Liu Liwen, Wang Yu, Ta Shengjun, Sun Chao, Wang Jing, Zuo Lei
Published 2016-10-25
Cite as Chin J Ultrasonogr, 2016,25(10): 834-839. DOI: 10.3760/cma.j.issn.1004-4477.2016.10.003
Abstract
ObjectiveTo explore the value of three dimensional speckle tracking echocardiography (3D-STE) in evaluating the left ventricular systolic function in familiar hypertrophic cardiomyopathy (HCM) mutation carriers.
MethodsEighty-one subjects were divided as: HCM mutation carriers but without left ventricular hypertrophy (G+ /P-) (n=41) and normal controls (n=40). Normal control group including healthy volunteers and healthy family members in whom sarcomere gene mutations were excluded by genetic analysis. They also prospectively underwent 3D-STE to complete strain analysis of the left ventricle. The variables of 3D global systolic longitudinal strain(3D-GLS), 3D global systolic radial strain (3D-GRS) and 3D global circumferential strain(3D-GCS) in two groups were compared.
ResultsCompared with normal controls, the G+ /P- group showed significantly higher left atrial volume index (P<0.001). Averaged Ea value by TDI was reduced (P=0.05), while averaged E/Ea was higher (P=0.045). GLS of G+ /P- group showed a notable reduction (P=0.001), as well as GRS (P=0.009); however 3D-GCS were not significantly different from controls (P>0.05). 3D-GLS determined after ROC analysis identified mutation carriers with 70.7% sensitivity and 96% specificity, 3D-GRS with 55.0% sensitivity and 65.9% specificity.
ConclusionsThe systolic function of left ventricular has changed in familiar hypertrophic cardiomyopathy mutation carriers, 3D-STE could provide quantitative information for gene mutation carriers in early identification.
Key words:
Three dimensional speckle tracking imaging; Cardiomyopathy, hypertrophic; Gene mutation; Carriers; Ventricular function, left
Contributor Information
Xu Dan
Department of Ultrasound, Xijing Hospital, Fourth Military Medical University, Xi′an 710032, China
Liu Liwen
Wang Yu
Ta Shengjun
Sun Chao
Wang Jing
Zuo Lei