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RAPIDLY AND ACCURATELY DETECTING SIGNIFICANT CORONARY ARTERY STENOSIS IN PATIENTS WITH SUSPECTED STABLE CORONARY ARTERY DISEASE AND NORMAL SEGMENTAL WALL MOTION BY SPECKLE TRACKING AUTOMATED FUNCTIONAL IMAGING

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单位: [1]Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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关键词: Automated functional imaging Global longitudinal strain Peak strain dispersion Post-systolic index Stable coronary artery disease

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This study was performed to explore the value of a machine with built-in speckle tracking automated functional imaging (AFI) in predicting the severity of coronary artery lesions in patients with suspected stable coronary artery disease (SCAD) with normal wall motion. One hundred forty-three consecutive patients with clinically suspected SCAD with normal wall motion were included. Multiple parameters, including global longitudinal peak strain, post-systolic index (PSI) and peak strain dispersion, were automatically analyzed with AFI. Territorial longitudinal strain (TLS) and territorial PSI (TPSI) were also calculated. Receiver operating characteristic curve analyses revealed that global longitudinal peak strain and PSI were superior to other parameters in detecting left main or three-vessel SCAD. A combination of TLS and TPSI could improve diagnostic performance in identifying significant stenotic left anterior descending and right coronary arteries. In conclusion, 2-dimensional speckle tracking AFI can rapidly provide multiple parameters for detecting significant coronary artery stenosis with high accuracy in patients suspected of having SCAD with normal wall motion. © 2020 World Federation for Ultrasound in Medicine & Biology

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出版当年[2020]版:
大类 | 3 区 医学
小类 | 3 区 声学 3 区 核医学
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 声学 3 区 核医学
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出版当年[2019]版:
Q1 ACOUSTICS Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q2 ACOUSTICS Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2019版] 出版当年五年平均 出版前一年[2018版] 出版后一年[2020版]

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第一作者单位: [1]Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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通讯机构: [1]Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China [*1]Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Road, Wuhan, 430030, China
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