Literature DB >> 24097214

Prediction of coronary artery stenosis at rest in patients with normal left ventricular wall motion. Segmental analyses using strain imaging diastolic index.

Bei Yang1, Masao Daimon, Katsuhisa Ishii, Takayuki Kawata, Sakiko Miyazaki, Kuniaki Hirose, Ryoko Ichikawa, Shuo-Ju Chiang, Hiromasa Suzuki, Katsumi Miyauchi, Hiroyuki Daida.   

Abstract

Noninvasive detection of coronary artery stenosis usually requires a stress test in patients without left ventricular (LV) regional wall motion abnormalities (RWMA). In contrast, abnormal regional LV relaxation caused by ischemia may persist beyond recovery from transient ischemia. The aim of the present study was to determine whether segmental analysis of abnormal regional LV relaxation using the strain imaging diastolic index (SI-DI) at rest could predict coronary artery stenosis in the three major vessels in patients without LV dysfunction or RWMA. We performed 2D speckle tracking echocardiography and coronary angiography in 85 patients without RWMA with suspected coronary artery disease. Patients with LV dysfunction or acute coronary syndrome were excluded. Echocardiographic images of the LV were obtained in the apical 2-, 3-, and 4-chamber views and divided into 6 segments. In each segment, SI-DI derived from transverse strain imaging was determined. Forty-eight patients had significant coronary artery stenosis (≥ 70%). The optimal cutoff values of SI-DI were 60.5% in the mid anteroseptal segment for detecting left anterior descending artery stenosis (sensitivity, 83.3%; specificity, 81.1%), 60.5% in the basal anterolateral segment for detecting left circumflex artery stenosis (sensitivity, 80.9%; specificity, 90.3%), and 61.5% in the basal inferior segment for detecting right coronary artery stenosis (sensitivity, 74.1%; specificity, 77.8%). A segmental analysis of SI-DI at rest predicted coronary artery stenosis in the three major vessels in patients without RWMA. This noninvasive method may be useful for detecting coronary artery stenosis without a stress test.

Entities:  

Mesh:

Year:  2013        PMID: 24097214     DOI: 10.1536/ihj.54.266

Source DB:  PubMed          Journal:  Int Heart J        ISSN: 1349-2365            Impact factor:   1.862


  6 in total

1.  Combining Stress Speckle Tracking with High-Sensitivity C-Reactive Protein in Diagnosis of Coronary Artery Disease.

Authors:  Ahmed M Saleh; Konstantin Zintl; Johannes Brachmann
Journal:  J Cardiovasc Dev Dis       Date:  2022-04-20

2.  Nicorandil Improves Left Ventricular Myocardial Strain in Patients With Coronary Chronic Total Occlusion.

Authors:  Shaomin Chen; Chen Ma; Xinheng Feng; Ming Cui
Journal:  Front Cardiovasc Med       Date:  2022-05-12

3.  Global Longitudinal Strain at Rest for Detection of Coronary Artery Disease in Patients without Diabetes Mellitus.

Authors:  Hou-Juan Zuo; Xiu-Ting Yang; Qi-Gong Liu; Yan Zhang; He-Song Zeng; Jiang-Tao Yan; Dao-Wen Wang; Hong Wang
Journal:  Curr Med Sci       Date:  2018-06-22

4.  Assessment of left and right ventricular diastolic and systolic functions using two-dimensional speckle-tracking echocardiography in patients with coronary slow-flow phenomenon.

Authors:  Yonghuai Wang; Chunyan Ma; Yan Zhang; Zhengyu Guan; Shuang Liu; Yuling Li; Jun Yang
Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

5.  Two-dimensional speckle tracking for the assessment of coronary artery disease during dobutamine stress echo: clinical tool or merely research method.

Authors:  Constantina Aggeli; Stauroula Lagoudakou; Ioannis Felekos; Vasiliki Panagopoulou; Stellios Kastellanos; Konstantinos Toutouzas; George Roussakis; Dimitris Tousoulis
Journal:  Cardiovasc Ultrasound       Date:  2015-10-24       Impact factor: 2.062

6.  Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors.

Authors:  Jingyi Zhang; Huolan Zhu; Yongkai Chen; Chenguang Yang; Huimin Cheng; Yi Li; Wenxuan Zhong; Fang Wang
Journal:  BMC Med Inform Decis Mak       Date:  2021-06-11       Impact factor: 2.796

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.