The present study aimed to dynamically observe the segmental and global myocardial movements of the left ventricle during coronary artery bypass grafting by transesophageal speckle-tracking echocardiography,and to ass...The present study aimed to dynamically observe the segmental and global myocardial movements of the left ventricle during coronary artery bypass grafting by transesophageal speckle-tracking echocardiography,and to assess the effect of sevoflurane on cardiac function.Sixty-four patients scheduled for the off-pump coronary artery bypass grafting were randomly divided into a sevoflurane-based anesthesia(AS)group and a propofolbased total intravenous anesthesia(AA)group.The AS group demonstrated a higher absolute value of left ventricular global longitudinal strain than that of the AA group at both T1(after harvesting all grafts and before coronary anastomosis)and T_(2)(30 min after completing all coronary anastomoses)(P<0.05).Moreover,strain improvement in the segment with the highest preoperative strain was significantly reduced in the AS group,compared with the AA group at both T1 and T_(2)(P<0.01).The flow of the left internal mammary artery-left anterior descending artery graft was superior,and the postoperative concentration of troponin T decreased rapidly in the AS group,compared with the AA group(P<0.05).Compared with total intravenous anesthesia,sevoflurane resulted in a significantly higher global longitudinal strain,stroke volume,and cardiac output.Sevoflurane also led to an amelioration in the condition of the arterial graft.Furthermore,sevoflurane significantly reduced strain improvement in the segmental myocardium with a high preoperative strain value.The findings need to be replicated in larger studies.展开更多
Objective To explore the value of deep learning(DL)models semi-automatic training system for automatic optimization of clinical image quality control of transthoracic echocardiography(TTE).Methods Totally 1250 TTE vid...Objective To explore the value of deep learning(DL)models semi-automatic training system for automatic optimization of clinical image quality control of transthoracic echocardiography(TTE).Methods Totally 1250 TTE videos from 402 patients were retrospectively collected,including 490 apical four chamber(A4C),310 parasternal long axis view of left ventricle(PLAX)and 450 parasternal short axis view of great vessel(PSAX GV).The videos were divided into development set(245 A4C,155 PLAX,225 PSAX GV),semi-automated training set(98 A4C,62 PLAX,90 PSAX GV)and test set(147 A4C,93 PLAX,135 PSAX GV)at the ratio of 5∶2∶3.Based on development set and semi-automatic training set,DL model of quality control was semi-automatically iteratively optimized,and a semi-automatic training system was constructed,then the efficacy of DL models for recognizing TTE views and assessing imaging quality of TTE were verified in test set.Results After optimization,the overall accuracy,precision,recall,and F1 score of DL models for recognizing TTE views in test set improved from 97.33%,97.26%,97.26%and 97.26%to 99.73%,99.65%,99.77%and 99.71%,respectively,while the overall accuracy for assessing A4C,PLAX and PSAX GV TTE as standard views in test set improved from 89.12%,83.87%and 90.37%to 93.20%,90.32%and 93.33%,respectively.Conclusion The developed DL models semi-automatic training system could improve the efficiency of clinical imaging quality control of TTE and increase iteration speed.展开更多
The growing utilization of critical care echocardiography(CCE)by clinicians necessitates a meticulous review of clinical conditions in critically ill patients,both before and during the examination.The reviewing proce...The growing utilization of critical care echocardiography(CCE)by clinicians necessitates a meticulous review of clinical conditions in critically ill patients,both before and during the examination.The reviewing process of clinical conditions minimizes the risk of overlooking or misinterpreting crucial findings.This article proposes a comprehensive strategy,namely BILL strategy to integrated into the CCE protocol,where“B”represents baseline respiratory and hemodynamic support,“I”signifies information gleaned from invasive monitoring,including central venous pressure and thermodilution-derived cardiac output,the first“L”denotes laboratory results such as central venous oxygen saturation,troponin,and brain natriuretic peptide,and the second“L”refers to lung ultrasound data.xx Combining the BILL strategy with CCE enhances a more comprehensive understanding of critical illness,potentially leading to improved diagnostic accuracy and patient outcomes.展开更多
Congenital heart disease(CHD)is the most common type of birth defect,representing a significant cause of peri-natal morbidity and mortality.Early diagnosis of such anomalies is crucial for improving outcomes.Current p...Congenital heart disease(CHD)is the most common type of birth defect,representing a significant cause of peri-natal morbidity and mortality.Early diagnosis of such anomalies is crucial for improving outcomes.Current pro-tocols recommend a qualitative assessment of cardiac structures using two-dimensional ultrasound(2DUS)and color Doppler imaging.In cases of suspected abnormalities,quantitative assessments through cardiac structure measurements and reference curves can aid in accurate diagnosis.Similar to centiles widely employed in obste-trics,Z-scores provide more precise quantification of various cardiac structures,particularly at the extremes of the curve.While the development of reference curves and Z-scores has progressed over the past two decades,a lack of standardization in measurements and statistical methodology for their determination is evident.Establishing reference curves requires adherence to specific recommendations to improve their accuracy.The purpose of this study is to provide a narrative review of the major studies that have generated reference values for cardiac struc-tures using 2DUS and Z-scores,to evaluate their methodology,and to provide a summary of the results.展开更多
Artificial intelligence(AI)technology has been increasingly used in medical field with its rapid developments.Echocardiography is one of the best imaging methods for clinical diagnosis of heart diseases,and combining ...Artificial intelligence(AI)technology has been increasingly used in medical field with its rapid developments.Echocardiography is one of the best imaging methods for clinical diagnosis of heart diseases,and combining with AI could further improve its diagnostic efficiency.Though the applications of AI in echocardiography remained at a relatively early stage,a variety of automated quantitative and analytical techniques were rapidly emerging and initially entered clinical practice.The status of clinical applications of AI in echocardiography were reviewed in this article.展开更多
Background Atrial septal defect(ASD)is one of the most common congenital heart diseases.The diagnosis of ASD via transthoracic echocardiography is subjective and time-consuming.Methods The objective of this study was ...Background Atrial septal defect(ASD)is one of the most common congenital heart diseases.The diagnosis of ASD via transthoracic echocardiography is subjective and time-consuming.Methods The objective of this study was to evaluate the feasibility and accuracy of automatic detection of ASD in children based on color Doppler echocardiographic static images using end-to-end convolutional neural networks.The proposed depthwise separable convolution model identifies ASDs with static color Doppler images in a standard view.Among the standard views,we selected two echocardiographic views,i.e.,the subcostal sagittal view of the atrium septum and the low parasternal four-chamber view.The developed ASD detection system was validated using a training set consisting of 396 echocardiographic images corresponding to 198 cases.Additionally,an independent test dataset of 112 images corresponding to 56 cases was used,including 101 cases with ASDs and 153 cases with normal hearts.Results The average area under the receiver operating characteristic curve,recall,precision,specificity,F1-score,and accuracy of the proposed ASD detection model were 91.99,80.00,82.22,87.50,79.57,and 83.04,respectively.Conclusions The proposed model can accurately and automatically identify ASD,providing a strong foundation for the intelligent diagnosis of congenital heart diseases.展开更多
Objectives To learn the echocardiography skills of intensivists after receiving a basic critical care echocardiography training course,and investigate factors that may influence their performance.Methods We completed ...Objectives To learn the echocardiography skills of intensivists after receiving a basic critical care echocardiography training course,and investigate factors that may influence their performance.Methods We completed a web-based questionnaire that assessed the skills in ultrasound scanning techniques of intensivists who took a training course on basic critical care echocardiography held in 2019 and 2020.MannWhitney test was used to analyze the factors which might affect their performance on image acquisition,recognizing clinical syndrome,and measuring the diameter of inferior vena cava,left ventricular ejection fraction and left ventricular outflow tract velocity-time integral.Results We enrolled 554 physicians from 412 intensive care units across China.Among them,185(33.4%)reported that they had 10%-30%chance of being misled by critical care echocardiography when making therapeutic decision,and 34(6.1%)reported that the chance was greater than 30%.Intensivists who performed echocardiography under the guidance of a mentor and finished ultrasound scanning more than 10 times per week reported significant higher scores in image acquisition,clinical syndrome recognition,and quantitative measurement of inferior vena cava diameter,left ventricular ejection fraction and left ventricular outflow tract velocity-time integral than those without mentor and performing echocardiography 10 times or less per week respectively(all P 0.05).Conclusion The skills in diagnostic medical echocardiography of Chinese intensivists after a basic echocardiographic training course remain low,and further quality assurance training program is clearly warranted.展开更多
Background:The management of suspected critical congenital heart defects(CCHD)relies on timely echocardiographic diagnosis.The availability of experienced echocardiographers is limited or even non-existent in many hos...Background:The management of suspected critical congenital heart defects(CCHD)relies on timely echocardiographic diagnosis.The availability of experienced echocardiographers is limited or even non-existent in many hospitals with obstetric units.This study evaluates remote-mentored echocardiography performed by physicians without experience in imaging of congenital heart defects(CHD).Methods:The setup included a pediatric cardiologist in a separate room,guiding a physician without experience in echocardiographic imaging of CHD in the examination of a symptomatic newborn.This remote-mentoring pair was blinded to the diagnosis of the newborn and presented with a simplified patient history.The echocardiographic images were streamed to the laptop of the mentor,along with a webcam feed showing the probe position.The task was to identify CCHD in need of immediate transfer to a pediatric cardiac surgical center.The result was compared to the previously completed echocardiographic report and the clinical decision of the patient-responsible pediatric cardiologist.Results:During 17 months,15 newborns were recruited.All six newborns with CCHD were correctly labeled by the remotementoring pair.One newborn with Tetralogy of Fallot was erroneously labeled as needing immediate transfer.Eight newborns without CCHD were correctly labeled.Conclusions:Remote-mentored echocardiography performed by examiners without experience in imaging CHD identified all newborns with CCHD in need of immediate transfer for specialist care.The setup shows promising results for improving the management of CCHD in hospitals without continuous pediatric cardiology service.展开更多
Echocardiography is an essential tool in diagnostic cardiology and is fundamental to clinical care.Artificial intelligence(AI)can help health care providers serving as a valuable diagnostic tool for physicians in the ...Echocardiography is an essential tool in diagnostic cardiology and is fundamental to clinical care.Artificial intelligence(AI)can help health care providers serving as a valuable diagnostic tool for physicians in the field of echocardiography specially on the automation of measurements and interpretation of results.In addition,it can help expand the capabilities of research and discover alternative pathways in medical management specially on prognostication.In this review article,we describe the current role and future perspectives of AI in echocardiography.展开更多
Objective:This study aims to analyze the diagnostic value of echocardiography in patients with chronic heart failure.Methods:30 patients with chronic heart failure admitted to our hospital during January 2021 to Janua...Objective:This study aims to analyze the diagnostic value of echocardiography in patients with chronic heart failure.Methods:30 patients with chronic heart failure admitted to our hospital during January 2021 to January 2023 were selected as the observation group,and 30 healthy people who received physical examination in our hospital during the same period were selected as the reference group.Both groups received echocardiography,and the results of the ultrasound examination were compared,and the subjects in the observation group were grouped according to the New York Heart Association(NYHA)cardiac function grading standard.The results of echocardiography in patients with chronic heart failure of different cardiac function grades were compared.Results:The left ventricular ejection fraction(LVEF)and ratio of maximum blood flow in the early diastole(E)to movement speed(A)(E/A)in the observation group were lower than those in the reference group,while the left ventricular posterior wall thickness(LVPWd),left ventricular end-diastolic diameter(LVEDD),left ventricular end-systolic diameter(LVESD),left atrial diameter(LAD),and interventricular septal thickness(IVS)were higher than those of the reference group(P<0.05).With the continuous increase of cardiac function grades,the levels of LVEF and E/A in patients with chronic heart failure continued to decrease,while the levels of LVPWd,LVEDD,LVESD,LAD,and IVS continued to increase,and there were significant differences among the groups(P<0.05).Conclusion:The application of echocardiography in the clinical diagnosis of chronic heart failure can accurately evaluate the changes of cardiac shape and cardiac function,and provide a reliable basis for clinical diagnosis with a high application value.展开更多
基金supported by Jiangsu Province Hospital(the First Affiliated Hospital of Nanjing Medical University)Clinical Capacity Enhancement and was awarded to the first author,Chanjuan Gong(Grant No.JSPH-MC-2022-4).
文摘The present study aimed to dynamically observe the segmental and global myocardial movements of the left ventricle during coronary artery bypass grafting by transesophageal speckle-tracking echocardiography,and to assess the effect of sevoflurane on cardiac function.Sixty-four patients scheduled for the off-pump coronary artery bypass grafting were randomly divided into a sevoflurane-based anesthesia(AS)group and a propofolbased total intravenous anesthesia(AA)group.The AS group demonstrated a higher absolute value of left ventricular global longitudinal strain than that of the AA group at both T1(after harvesting all grafts and before coronary anastomosis)and T_(2)(30 min after completing all coronary anastomoses)(P<0.05).Moreover,strain improvement in the segment with the highest preoperative strain was significantly reduced in the AS group,compared with the AA group at both T1 and T_(2)(P<0.01).The flow of the left internal mammary artery-left anterior descending artery graft was superior,and the postoperative concentration of troponin T decreased rapidly in the AS group,compared with the AA group(P<0.05).Compared with total intravenous anesthesia,sevoflurane resulted in a significantly higher global longitudinal strain,stroke volume,and cardiac output.Sevoflurane also led to an amelioration in the condition of the arterial graft.Furthermore,sevoflurane significantly reduced strain improvement in the segmental myocardium with a high preoperative strain value.The findings need to be replicated in larger studies.
文摘Objective To explore the value of deep learning(DL)models semi-automatic training system for automatic optimization of clinical image quality control of transthoracic echocardiography(TTE).Methods Totally 1250 TTE videos from 402 patients were retrospectively collected,including 490 apical four chamber(A4C),310 parasternal long axis view of left ventricle(PLAX)and 450 parasternal short axis view of great vessel(PSAX GV).The videos were divided into development set(245 A4C,155 PLAX,225 PSAX GV),semi-automated training set(98 A4C,62 PLAX,90 PSAX GV)and test set(147 A4C,93 PLAX,135 PSAX GV)at the ratio of 5∶2∶3.Based on development set and semi-automatic training set,DL model of quality control was semi-automatically iteratively optimized,and a semi-automatic training system was constructed,then the efficacy of DL models for recognizing TTE views and assessing imaging quality of TTE were verified in test set.Results After optimization,the overall accuracy,precision,recall,and F1 score of DL models for recognizing TTE views in test set improved from 97.33%,97.26%,97.26%and 97.26%to 99.73%,99.65%,99.77%and 99.71%,respectively,while the overall accuracy for assessing A4C,PLAX and PSAX GV TTE as standard views in test set improved from 89.12%,83.87%and 90.37%to 93.20%,90.32%and 93.33%,respectively.Conclusion The developed DL models semi-automatic training system could improve the efficiency of clinical imaging quality control of TTE and increase iteration speed.
文摘The growing utilization of critical care echocardiography(CCE)by clinicians necessitates a meticulous review of clinical conditions in critically ill patients,both before and during the examination.The reviewing process of clinical conditions minimizes the risk of overlooking or misinterpreting crucial findings.This article proposes a comprehensive strategy,namely BILL strategy to integrated into the CCE protocol,where“B”represents baseline respiratory and hemodynamic support,“I”signifies information gleaned from invasive monitoring,including central venous pressure and thermodilution-derived cardiac output,the first“L”denotes laboratory results such as central venous oxygen saturation,troponin,and brain natriuretic peptide,and the second“L”refers to lung ultrasound data.xx Combining the BILL strategy with CCE enhances a more comprehensive understanding of critical illness,potentially leading to improved diagnostic accuracy and patient outcomes.
文摘Congenital heart disease(CHD)is the most common type of birth defect,representing a significant cause of peri-natal morbidity and mortality.Early diagnosis of such anomalies is crucial for improving outcomes.Current pro-tocols recommend a qualitative assessment of cardiac structures using two-dimensional ultrasound(2DUS)and color Doppler imaging.In cases of suspected abnormalities,quantitative assessments through cardiac structure measurements and reference curves can aid in accurate diagnosis.Similar to centiles widely employed in obste-trics,Z-scores provide more precise quantification of various cardiac structures,particularly at the extremes of the curve.While the development of reference curves and Z-scores has progressed over the past two decades,a lack of standardization in measurements and statistical methodology for their determination is evident.Establishing reference curves requires adherence to specific recommendations to improve their accuracy.The purpose of this study is to provide a narrative review of the major studies that have generated reference values for cardiac struc-tures using 2DUS and Z-scores,to evaluate their methodology,and to provide a summary of the results.
文摘Artificial intelligence(AI)technology has been increasingly used in medical field with its rapid developments.Echocardiography is one of the best imaging methods for clinical diagnosis of heart diseases,and combining with AI could further improve its diagnostic efficiency.Though the applications of AI in echocardiography remained at a relatively early stage,a variety of automated quantitative and analytical techniques were rapidly emerging and initially entered clinical practice.The status of clinical applications of AI in echocardiography were reviewed in this article.
基金the National Natural Science Foundation of China(61975056)the Shanghai Natural Science Foundation(19ZR1416000)+1 种基金the Science and Technology Commission of Shanghai Municipality(20440713100)the Scientific Development funds for Local Region from the Chinese Government in 2023(XZ202301YD0032C).
文摘Background Atrial septal defect(ASD)is one of the most common congenital heart diseases.The diagnosis of ASD via transthoracic echocardiography is subjective and time-consuming.Methods The objective of this study was to evaluate the feasibility and accuracy of automatic detection of ASD in children based on color Doppler echocardiographic static images using end-to-end convolutional neural networks.The proposed depthwise separable convolution model identifies ASDs with static color Doppler images in a standard view.Among the standard views,we selected two echocardiographic views,i.e.,the subcostal sagittal view of the atrium septum and the low parasternal four-chamber view.The developed ASD detection system was validated using a training set consisting of 396 echocardiographic images corresponding to 198 cases.Additionally,an independent test dataset of 112 images corresponding to 56 cases was used,including 101 cases with ASDs and 153 cases with normal hearts.Results The average area under the receiver operating characteristic curve,recall,precision,specificity,F1-score,and accuracy of the proposed ASD detection model were 91.99,80.00,82.22,87.50,79.57,and 83.04,respectively.Conclusions The proposed model can accurately and automatically identify ASD,providing a strong foundation for the intelligent diagnosis of congenital heart diseases.
文摘Objectives To learn the echocardiography skills of intensivists after receiving a basic critical care echocardiography training course,and investigate factors that may influence their performance.Methods We completed a web-based questionnaire that assessed the skills in ultrasound scanning techniques of intensivists who took a training course on basic critical care echocardiography held in 2019 and 2020.MannWhitney test was used to analyze the factors which might affect their performance on image acquisition,recognizing clinical syndrome,and measuring the diameter of inferior vena cava,left ventricular ejection fraction and left ventricular outflow tract velocity-time integral.Results We enrolled 554 physicians from 412 intensive care units across China.Among them,185(33.4%)reported that they had 10%-30%chance of being misled by critical care echocardiography when making therapeutic decision,and 34(6.1%)reported that the chance was greater than 30%.Intensivists who performed echocardiography under the guidance of a mentor and finished ultrasound scanning more than 10 times per week reported significant higher scores in image acquisition,clinical syndrome recognition,and quantitative measurement of inferior vena cava diameter,left ventricular ejection fraction and left ventricular outflow tract velocity-time integral than those without mentor and performing echocardiography 10 times or less per week respectively(all P 0.05).Conclusion The skills in diagnostic medical echocardiography of Chinese intensivists after a basic echocardiographic training course remain low,and further quality assurance training program is clearly warranted.
基金This study was funded through a grant from the European Union's Project Horizon 2020 and 5G HEART,under Grant Agreement Number 857034[15]the Norwegian Association for Children with Congenital Heart Disease.
文摘Background:The management of suspected critical congenital heart defects(CCHD)relies on timely echocardiographic diagnosis.The availability of experienced echocardiographers is limited or even non-existent in many hospitals with obstetric units.This study evaluates remote-mentored echocardiography performed by physicians without experience in imaging of congenital heart defects(CHD).Methods:The setup included a pediatric cardiologist in a separate room,guiding a physician without experience in echocardiographic imaging of CHD in the examination of a symptomatic newborn.This remote-mentoring pair was blinded to the diagnosis of the newborn and presented with a simplified patient history.The echocardiographic images were streamed to the laptop of the mentor,along with a webcam feed showing the probe position.The task was to identify CCHD in need of immediate transfer to a pediatric cardiac surgical center.The result was compared to the previously completed echocardiographic report and the clinical decision of the patient-responsible pediatric cardiologist.Results:During 17 months,15 newborns were recruited.All six newborns with CCHD were correctly labeled by the remotementoring pair.One newborn with Tetralogy of Fallot was erroneously labeled as needing immediate transfer.Eight newborns without CCHD were correctly labeled.Conclusions:Remote-mentored echocardiography performed by examiners without experience in imaging CHD identified all newborns with CCHD in need of immediate transfer for specialist care.The setup shows promising results for improving the management of CCHD in hospitals without continuous pediatric cardiology service.
文摘Echocardiography is an essential tool in diagnostic cardiology and is fundamental to clinical care.Artificial intelligence(AI)can help health care providers serving as a valuable diagnostic tool for physicians in the field of echocardiography specially on the automation of measurements and interpretation of results.In addition,it can help expand the capabilities of research and discover alternative pathways in medical management specially on prognostication.In this review article,we describe the current role and future perspectives of AI in echocardiography.
文摘Objective:This study aims to analyze the diagnostic value of echocardiography in patients with chronic heart failure.Methods:30 patients with chronic heart failure admitted to our hospital during January 2021 to January 2023 were selected as the observation group,and 30 healthy people who received physical examination in our hospital during the same period were selected as the reference group.Both groups received echocardiography,and the results of the ultrasound examination were compared,and the subjects in the observation group were grouped according to the New York Heart Association(NYHA)cardiac function grading standard.The results of echocardiography in patients with chronic heart failure of different cardiac function grades were compared.Results:The left ventricular ejection fraction(LVEF)and ratio of maximum blood flow in the early diastole(E)to movement speed(A)(E/A)in the observation group were lower than those in the reference group,while the left ventricular posterior wall thickness(LVPWd),left ventricular end-diastolic diameter(LVEDD),left ventricular end-systolic diameter(LVESD),left atrial diameter(LAD),and interventricular septal thickness(IVS)were higher than those of the reference group(P<0.05).With the continuous increase of cardiac function grades,the levels of LVEF and E/A in patients with chronic heart failure continued to decrease,while the levels of LVPWd,LVEDD,LVESD,LAD,and IVS continued to increase,and there were significant differences among the groups(P<0.05).Conclusion:The application of echocardiography in the clinical diagnosis of chronic heart failure can accurately evaluate the changes of cardiac shape and cardiac function,and provide a reliable basis for clinical diagnosis with a high application value.
