Speckle Tracking Based Strain Analysis Is Sensitive for Early Detection of Pathological Cardiac HypertrophyReportar como inadecuado

Speckle Tracking Based Strain Analysis Is Sensitive for Early Detection of Pathological Cardiac Hypertrophy - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Cardiac hypertrophy is a key pathological process of many cardiac diseases. However, early detection of cardiac hypertrophy is difficult by the currently used non-invasive method and new approaches are in urgent need for efficient diagnosis of cardiac malfunction. Here we report that speckle tracking-based strain analysis is more sensitive than conventional echocardiography for early detection of pathological cardiac hypertrophy in the isoproterenol ISO mouse model. Pathological hypertrophy was induced by a single subcutaneous injection of ISO. Physiological cardiac hypertrophy was established by daily treadmill exercise for six weeks. Strain analysis, including radial strain RS, radial strain rate RSR and longitudinal strain LS, showed marked decrease as early as 3 days after ISO injection. Moreover, unlike the regional changes in cardiac infarction, strain analysis revealed global cardiac dysfunction that affects the entire heart in ISO-induced hypertrophy. In contrast, conventional echocardiography, only detected altered E-E’, an index reflecting cardiac diastolic function, at 7 days after ISO injection. No change was detected on fractional shortening FS, E-A and E’-A’ at 3 days or 7 days after ISO injection. Interestingly, strain analysis revealed cardiac dysfunction only in ISO-induced pathological hypertrophy but not the physiological hypertrophy induced by exercise. Taken together, our study indicates that strain analysis offers a more sensitive approach for early detection of cardiac dysfunction than conventional echocardiography. Moreover, multiple strain readouts distinguish pathological cardiac hypertrophy from physiological hypertrophy.

Autor: Xiangbo An, Jingjing Wang, Hao Li, Zhizhen Lu, Yan Bai, Han Xiao, Youyi Zhang , Yao Song

Fuente: http://plos.srce.hr/


Documentos relacionados