Journal article
Echocardiographic Strain Analysis for the Early Detection of Myocardial Structural Abnormality and Initiation of Drug Therapy in a Mouse Model of Dilated Cardiomyopathy
Ultrasound in medicine & biology, v 43(12), pp 2914-2924
Dec 2017
PMID: 28942269
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This study aimed to evaluate the role of echocardiography-based strain analysis in the early diagnosis and guidance for management of dilated cardiomyopathy (DCM). Muscular dystrophy mice (which spontaneously develop DCM) and control (C57 BL/6 J) mice were sequentially evaluated by ultrasound biomicroscopy, conventional left ventricle (LV) measurement, two-dimensional (2-D) strain analysis and myocardial histologic analysis for 12 consecutive months. Significant alternation of LV remodeling and dysfunction could be detected by conventional echocardiography after 9 mo, by strain analysis after 5 mo and by histologic analysis after 4 mo. The global longitudinal systolic peak strain (PK) was the most sensitive strain marker for early detection of myocardial structural abnormality in the subclinical stage. Moreover, losartan administration before the PK decrease was associated with significantly preserved LV function. These results suggest that myocardial strain analysis (particularly longitudinal PK) is sensitive for the early detection of LV dysfunction in mice with dilated cardiomyopathy.
Metrics
Details
- Title
- Echocardiographic Strain Analysis for the Early Detection of Myocardial Structural Abnormality and Initiation of Drug Therapy in a Mouse Model of Dilated Cardiomyopathy
- Creators
- Minjuan Zheng - Air Force Medical UniversityFeng Pan - Stomatology HospitalYing Liu - Air Force Medical UniversityZhenzhou Li - Drexel UniversityXiaodong Zhou - Air Force Medical UniversityXin Meng - Air Force Medical UniversityLiwen Liu - Air Force Medical UniversityShuping Ge - Drexel University
- Publication Details
- Ultrasound in medicine & biology, v 43(12), pp 2914-2924
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Pediatrics
- Web of Science ID
- WOS:000415604700017
- Scopus ID
- 2-s2.0-85029657856
- Other Identifier
- 991019167550404721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Acoustics
- Radiology, Nuclear Medicine & Medical Imaging