Mental Stress-Induced Myocardial Ischemia Detected by Global Longitudinal Strain and Quantitative Myocardial Contrast Echocardiography in Women With Nonobstructive Coronary Artery Disease

The utility of radionuclide myocardial perfusion imaging including positron emission tomography (PET) for diagnosing mental stress-induced myocardial ischemia (MSIMI) is clinically restricted. This study aims to assess the diagnostic performance of novel echocardiographic techniques, including autom...

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Veröffentlicht in:Journal of the American Society of Echocardiography 2024-09, Vol.37 (9), p.894-905
Hauptverfasser: Kong, Bo, Fei, Hongwen, Cheng, Shiyao, Ma, Huan, Yin, Han, Li, Mingqi, Liu, Quanjun, Liu, Yuting, Bai, Bingqing, Liu, Fengyao, Guo, Lan, Geng, Qingshan
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container_issue 9
container_start_page 894
container_title Journal of the American Society of Echocardiography
container_volume 37
creator Kong, Bo
Fei, Hongwen
Cheng, Shiyao
Ma, Huan
Yin, Han
Li, Mingqi
Liu, Quanjun
Liu, Yuting
Bai, Bingqing
Liu, Fengyao
Guo, Lan
Geng, Qingshan
description The utility of radionuclide myocardial perfusion imaging including positron emission tomography (PET) for diagnosing mental stress-induced myocardial ischemia (MSIMI) is clinically restricted. This study aims to assess the diagnostic performance of novel echocardiographic techniques, including automated strain and quantitative myocardial contrast echocardiography (MCE) with dedicated software and deep neural network model, for MSIMI detection. The secondary objective was to explore the correlation between changes in myocardial blood flow and MSIMI. Seventy-two female patients ages 18 to 75 with angina and nonobstructive coronary artery disease (ANOCA) and 23 healthy controls were prospectively recruited. Both echocardiography with contrast agent and PET imaging were performed during structured mental stress testing. Mental stress-induced myocardial ischemia was defined as a summed difference score ≥3 on PET. Echocardiographic parameters including left ventricular global longitudinal strain, β, and A × β were obtained, and their trends during mental stress testing were observed. ΔGLS was defined as the ratio of difference between global longitudinal strain values at stress and rest to the rest data. β reserve and A×β reserve were respectively calculated. Thirty-two ANOCA patients (44%) and 1 control (4%) were diagnosed with MSIMI (P 
doi_str_mv 10.1016/j.echo.2024.05.008
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This study aims to assess the diagnostic performance of novel echocardiographic techniques, including automated strain and quantitative myocardial contrast echocardiography (MCE) with dedicated software and deep neural network model, for MSIMI detection. The secondary objective was to explore the correlation between changes in myocardial blood flow and MSIMI. Seventy-two female patients ages 18 to 75 with angina and nonobstructive coronary artery disease (ANOCA) and 23 healthy controls were prospectively recruited. Both echocardiography with contrast agent and PET imaging were performed during structured mental stress testing. Mental stress-induced myocardial ischemia was defined as a summed difference score ≥3 on PET. Echocardiographic parameters including left ventricular global longitudinal strain, β, and A × β were obtained, and their trends during mental stress testing were observed. ΔGLS was defined as the ratio of difference between global longitudinal strain values at stress and rest to the rest data. β reserve and A×β reserve were respectively calculated. Thirty-two ANOCA patients (44%) and 1 control (4%) were diagnosed with MSIMI (P &lt; .01). For ANOCA patients with MSIMI, left ventricular GLS, β, and A × β declined to varied extents during mental stress testing compared with those without MSIMI and the controls (P &lt; .05). Bland-Altman plots demonstrated good consistency between β reserve and A × β reserve output by the deep neural network model and iMCE software. Receiver operating characteristic curve analyses showed that ΔGLS, β reserve, and A × β reserve demonstrated favorable ability to predict MSIMI, especially the combination of A × β reserve using iMCE analysis and ΔGLS (area under the curve, 0.94; sensitivity, 83%; specificity, 97%). Novel technologies in echocardiography exhibit the potential to be a clinical alternative to cardiac PET for effectively detecting MSIMI. Attenuated myocardial blood flow response during structured mental stress testing was correlated with MSIMI, providing a reasonable explanation for the chest discomfort persisting in ANOCA women. [Display omitted] •The diagnosis of MSIMI is challenging.•ΔGLS and flow reserve on quantitative MCE could effectively detect MSIMI.•Attenuated flow response during mental stress was correlated with MSIMI.</description><identifier>ISSN: 0894-7317</identifier><identifier>ISSN: 1097-6795</identifier><identifier>EISSN: 1097-6795</identifier><identifier>DOI: 10.1016/j.echo.2024.05.008</identifier><identifier>PMID: 38761987</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Aged ; Contrast Media ; Coronary Artery Disease - complications ; Coronary Artery Disease - diagnosis ; Coronary Artery Disease - diagnostic imaging ; Coronary Artery Disease - physiopathology ; Deep neural network ; Echocardiography - methods ; Female ; Global Longitudinal Strain ; Humans ; Mental stress-induced myocardial ischemia ; Middle Aged ; Myocardial blood flow ; Myocardial contrast echocardiography ; Myocardial Ischemia - complications ; Myocardial Ischemia - diagnosis ; Myocardial Ischemia - diagnostic imaging ; Myocardial Ischemia - physiopathology ; Myocardial Perfusion Imaging - methods ; Positron-Emission Tomography - methods ; Prospective Studies ; Stress, Psychological - complications ; Stress, Psychological - physiopathology ; Young Adult</subject><ispartof>Journal of the American Society of Echocardiography, 2024-09, Vol.37 (9), p.894-905</ispartof><rights>2024 American Society of Echocardiography</rights><rights>Copyright © 2024 American Society of Echocardiography. 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This study aims to assess the diagnostic performance of novel echocardiographic techniques, including automated strain and quantitative myocardial contrast echocardiography (MCE) with dedicated software and deep neural network model, for MSIMI detection. The secondary objective was to explore the correlation between changes in myocardial blood flow and MSIMI. Seventy-two female patients ages 18 to 75 with angina and nonobstructive coronary artery disease (ANOCA) and 23 healthy controls were prospectively recruited. Both echocardiography with contrast agent and PET imaging were performed during structured mental stress testing. Mental stress-induced myocardial ischemia was defined as a summed difference score ≥3 on PET. Echocardiographic parameters including left ventricular global longitudinal strain, β, and A × β were obtained, and their trends during mental stress testing were observed. ΔGLS was defined as the ratio of difference between global longitudinal strain values at stress and rest to the rest data. β reserve and A×β reserve were respectively calculated. Thirty-two ANOCA patients (44%) and 1 control (4%) were diagnosed with MSIMI (P &lt; .01). For ANOCA patients with MSIMI, left ventricular GLS, β, and A × β declined to varied extents during mental stress testing compared with those without MSIMI and the controls (P &lt; .05). Bland-Altman plots demonstrated good consistency between β reserve and A × β reserve output by the deep neural network model and iMCE software. Receiver operating characteristic curve analyses showed that ΔGLS, β reserve, and A × β reserve demonstrated favorable ability to predict MSIMI, especially the combination of A × β reserve using iMCE analysis and ΔGLS (area under the curve, 0.94; sensitivity, 83%; specificity, 97%). Novel technologies in echocardiography exhibit the potential to be a clinical alternative to cardiac PET for effectively detecting MSIMI. Attenuated myocardial blood flow response during structured mental stress testing was correlated with MSIMI, providing a reasonable explanation for the chest discomfort persisting in ANOCA women. 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This study aims to assess the diagnostic performance of novel echocardiographic techniques, including automated strain and quantitative myocardial contrast echocardiography (MCE) with dedicated software and deep neural network model, for MSIMI detection. The secondary objective was to explore the correlation between changes in myocardial blood flow and MSIMI. Seventy-two female patients ages 18 to 75 with angina and nonobstructive coronary artery disease (ANOCA) and 23 healthy controls were prospectively recruited. Both echocardiography with contrast agent and PET imaging were performed during structured mental stress testing. Mental stress-induced myocardial ischemia was defined as a summed difference score ≥3 on PET. Echocardiographic parameters including left ventricular global longitudinal strain, β, and A × β were obtained, and their trends during mental stress testing were observed. ΔGLS was defined as the ratio of difference between global longitudinal strain values at stress and rest to the rest data. β reserve and A×β reserve were respectively calculated. Thirty-two ANOCA patients (44%) and 1 control (4%) were diagnosed with MSIMI (P &lt; .01). For ANOCA patients with MSIMI, left ventricular GLS, β, and A × β declined to varied extents during mental stress testing compared with those without MSIMI and the controls (P &lt; .05). Bland-Altman plots demonstrated good consistency between β reserve and A × β reserve output by the deep neural network model and iMCE software. Receiver operating characteristic curve analyses showed that ΔGLS, β reserve, and A × β reserve demonstrated favorable ability to predict MSIMI, especially the combination of A × β reserve using iMCE analysis and ΔGLS (area under the curve, 0.94; sensitivity, 83%; specificity, 97%). Novel technologies in echocardiography exhibit the potential to be a clinical alternative to cardiac PET for effectively detecting MSIMI. Attenuated myocardial blood flow response during structured mental stress testing was correlated with MSIMI, providing a reasonable explanation for the chest discomfort persisting in ANOCA women. [Display omitted] •The diagnosis of MSIMI is challenging.•ΔGLS and flow reserve on quantitative MCE could effectively detect MSIMI.•Attenuated flow response during mental stress was correlated with MSIMI.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>38761987</pmid><doi>10.1016/j.echo.2024.05.008</doi><tpages>12</tpages></addata></record>
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subjects Adolescent
Adult
Aged
Contrast Media
Coronary Artery Disease - complications
Coronary Artery Disease - diagnosis
Coronary Artery Disease - diagnostic imaging
Coronary Artery Disease - physiopathology
Deep neural network
Echocardiography - methods
Female
Global Longitudinal Strain
Humans
Mental stress-induced myocardial ischemia
Middle Aged
Myocardial blood flow
Myocardial contrast echocardiography
Myocardial Ischemia - complications
Myocardial Ischemia - diagnosis
Myocardial Ischemia - diagnostic imaging
Myocardial Ischemia - physiopathology
Myocardial Perfusion Imaging - methods
Positron-Emission Tomography - methods
Prospective Studies
Stress, Psychological - complications
Stress, Psychological - physiopathology
Young Adult
title Mental Stress-Induced Myocardial Ischemia Detected by Global Longitudinal Strain and Quantitative Myocardial Contrast Echocardiography in Women With Nonobstructive Coronary Artery Disease
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