The elastic and functional coupling of heart and vessels makes the stroke work （SW） of the heart optimal. Speckle tracking imaging （STI） can evaluate the myocardial strain and function. We studied ventricular-vasc...The elastic and functional coupling of heart and vessels makes the stroke work （SW） of the heart optimal. Speckle tracking imaging （STI） can evaluate the myocardial strain and function. We studied ventricular-vascular coupling in 80 diabetic patients with different systolic function using STI. The patients were divided into two groups according to ejection fraction （EF）： the diabetes mel- litus with normal EF （DMN） group and the diabetes mellitus with abnormal EF （DMA） group. Forty-two volunteers served as control group. The relative wall thickness （RWT）, left ventricular mass index （LVMI）, stroke volume （SV）, SW, rate-pressure product （RPP）, systemic vascular resis- tance index （SVRI）, left ventricular end-systolic elastance （Ees）, effective arterial elasticity （Ea） and ventricular-vascular coupling index （VVI） were measured and calculated by conventional echocardi- ography. The longitudinal strain （LS） at basement （LSBA）, papillary muscle （LSvM） and cardiac apex （LSAv） was assessed with STI. It was found： （A） compared with control group, in DMN and DMA groups, LSBA, LSvM and LSAp decreased, and they were lower in DMA group. （B） VVI, RPP and SVRI increased, and they were higher in DMN group; Ees decreased, and it was lower in DMA group. （C） LSBA, LSpM, and LSAv had negative correlation with VVI. LSAp, RWT, LVMI and SW were independent predictors for VVI. The area under the receiver operating characteristic （ROC） curves was used for identification of DMA and DMN with LSBA, LSpM, and LSAp, and the area under the ROC of LSAp was the largest. This study supports that myocardial LS could reflect the ventricu- lar-vascular coupling. Different segments had an order to “respond to” the state of the coupling, and the cardiac apex might be the earliest.展开更多
Objective: Early detection of LV mechanical abnormalities in patients with cardiac syndrome X (CSX) by speckle tracking echocardiography (STE). Background: Cardiac syndrome X is a triad of angina pectoris, positive st...Objective: Early detection of LV mechanical abnormalities in patients with cardiac syndrome X (CSX) by speckle tracking echocardiography (STE). Background: Cardiac syndrome X is a triad of angina pectoris, positive stress test for myocardial ischemia and angiographically free coronary arteries. Two dimensional speckle tracking?echocardiography (2D-STE) provides a more sensitive method for evaluation of global and segmental LV function than conventional two dimensional echocardiographic parameters. Subjects and Methods: Seventy patients proved to have CSX and 20 healthy control volunteers were included with a mean age of 49.43 ± 5.92 vs. 49.40 ±6.27 years respectively with no difference regarding sex for both patients and controls. Patients with hypertension, diabetes mellitus, valvular heart disease, cardiomyopathies, inflammatory diseases, myocarditis and arrhythmias were excluded. All included individuals were subjected to complete conventional echocardiographic assessment and left ventricular global and segmental mechanical function was assessed using 2D based strain and strain rate (longitudinal, radial and circumferential) imaging. Results: There was no statistically significant difference in LV conventional echo parameters between patients and controls. However, global mean longitudinal strain was significantly lower in patients than controls (-15.05 ± 3.28 vs. -20.22 ± 2.49;p 0.001). For radial and circumferential strain stain, there was no significant changes between patients vs. controls (29.75 ± 18.26 vs. 28.09 ± 15.48;p = 0.74) and (-19.88 ± 8.63 vs. -21.93 ± 5.69;p 0.05) respectively. Conclusion: In spite of normal conventional echo parameters among patients and controls, LV longitudinal strain and strain rate by 2D speckle tracking imaging were lower in the patients denoting subclinical left ventricular mechanical dysfunction in patients with CSX.展开更多
目的·探讨血糖控制不理想对2型糖尿病(type 2 diabetes mellitus,T2DM)患者亚临床心脏收缩功能的影响。方法·选取2021年6月—2022年3月于上海市第一人民医院嘉定分院随诊治疗的T2DM患者83例,以糖化血红蛋白(hemoglobin A1c,Hb...目的·探讨血糖控制不理想对2型糖尿病(type 2 diabetes mellitus,T2DM)患者亚临床心脏收缩功能的影响。方法·选取2021年6月—2022年3月于上海市第一人民医院嘉定分院随诊治疗的T2DM患者83例,以糖化血红蛋白(hemoglobin A1c,HbA1c)水平分为血糖控制理想(satisfactory control of glycaemia group,SCG)组和血糖控制不理想(less satisfactory control of glycaemia group,LSCG)组,同时选取对照组受试者54例。标准的超声心动图检查后,分别获取左心室结构和功能参数及左室心内膜下层、心肌中层和心外膜下层整体纵向应变(global longitudinal strain,GLS)指标GLS_(endo)、GLS_(mid)和GLS_(epi)。采用方差分析进行参数比较,相关分析采用Pearson相关分析和多元线性回归分析。应用受试者操作特征(receiver operator characteristic,ROC)曲线分析纵向应变以鉴别T2DM患者亚临床心肌功能损害的诊断效能。结果·室间隔厚度和左室后壁厚度在LSCG组均厚于SCG组和对照组(均P<0.05),而在SCG组和对照组间差异无统计学意义(均P>0.05)。与对照组相比,LSCG组和SCG组的左室舒张功能指标二尖瓣口舒张早期血流速度(early peak flow velocity by Doppler,E)/左心室侧壁二尖瓣环舒张早期运动速度(early diastolic velocity of the mitral annulus by tissue Doppler imaging,e)均较大且差异具有统计学意义(均P<0.05),而LSCG和SCG组间的差异无统计学意义(P>0.05)。左心室射血分数在3组间差异无统计学意义(P>0.05)。与LSCG组比较,GLS_(endo)、GLS_(mid)、GLS_(epi)的收缩形变数值在SCG组和对照组均较大(均P<0.05),而在SCG和对照组间差异无统计学意义(P>0.05)。HbA1c是GLS_(mid)和GLS_(epi)的独立负相关影响因素(β值分别为−0.198和−0.239,均P<0.05)。GLS_(endo)、GLS_(mid)和GLS_(epi)在LSCG与SCG组间具有中等诊断效能,曲线下面积(area under the curve,AUC)分别为0.754(95%CI 0.624~0.884)、0.755(95%CI 0.624~0.885)和0.751(95%CI 0.619~0.882)。结论·血糖控制不理想的T2DM患者心肌收缩功能减低,这种亚临床心肌损害与HbA1c水平呈独立负相关。展开更多
Recently,big data becomes evitable due to massive increase in the generation of data in real time application.Presently,object detection and tracking applications becomes popular among research communities and finds u...Recently,big data becomes evitable due to massive increase in the generation of data in real time application.Presently,object detection and tracking applications becomes popular among research communities and finds useful in different applications namely vehicle navigation,augmented reality,surveillance,etc.This paper introduces an effective deep learning based object tracker using Automated Image Annotation with Inception v2 based Faster RCNN(AIA-IFRCNN)model in big data environment.The AIA-IFRCNN model annotates the images by Discriminative Correlation Filter(DCF)with Channel and Spatial Reliability tracker(CSR),named DCF-CSRT model.The AIA-IFRCNN technique employs Faster RCNN for object detection and tracking,which comprises region proposal network(RPN)and Fast R-CNN.In addition,inception v2 model is applied as a shared convolution neural network(CNN)to generate the feature map.Lastly,softmax layer is applied to perform classification task.The effectiveness of the AIA-IFRCNN method undergoes experimentation against a benchmark dataset and the results are assessed under diverse aspects with maximum detection accuracy of 97.77%.展开更多
基金supported by a grant from the Shanghai Health and Family Planning Commission,China(No.201440290)
文摘The elastic and functional coupling of heart and vessels makes the stroke work （SW） of the heart optimal. Speckle tracking imaging （STI） can evaluate the myocardial strain and function. We studied ventricular-vascular coupling in 80 diabetic patients with different systolic function using STI. The patients were divided into two groups according to ejection fraction （EF）： the diabetes mel- litus with normal EF （DMN） group and the diabetes mellitus with abnormal EF （DMA） group. Forty-two volunteers served as control group. The relative wall thickness （RWT）, left ventricular mass index （LVMI）, stroke volume （SV）, SW, rate-pressure product （RPP）, systemic vascular resis- tance index （SVRI）, left ventricular end-systolic elastance （Ees）, effective arterial elasticity （Ea） and ventricular-vascular coupling index （VVI） were measured and calculated by conventional echocardi- ography. The longitudinal strain （LS） at basement （LSBA）, papillary muscle （LSvM） and cardiac apex （LSAv） was assessed with STI. It was found： （A） compared with control group, in DMN and DMA groups, LSBA, LSvM and LSAp decreased, and they were lower in DMA group. （B） VVI, RPP and SVRI increased, and they were higher in DMN group; Ees decreased, and it was lower in DMA group. （C） LSBA, LSpM, and LSAv had negative correlation with VVI. LSAp, RWT, LVMI and SW were independent predictors for VVI. The area under the receiver operating characteristic （ROC） curves was used for identification of DMA and DMN with LSBA, LSpM, and LSAp, and the area under the ROC of LSAp was the largest. This study supports that myocardial LS could reflect the ventricu- lar-vascular coupling. Different segments had an order to “respond to” the state of the coupling, and the cardiac apex might be the earliest.
文摘Objective: Early detection of LV mechanical abnormalities in patients with cardiac syndrome X (CSX) by speckle tracking echocardiography (STE). Background: Cardiac syndrome X is a triad of angina pectoris, positive stress test for myocardial ischemia and angiographically free coronary arteries. Two dimensional speckle tracking?echocardiography (2D-STE) provides a more sensitive method for evaluation of global and segmental LV function than conventional two dimensional echocardiographic parameters. Subjects and Methods: Seventy patients proved to have CSX and 20 healthy control volunteers were included with a mean age of 49.43 ± 5.92 vs. 49.40 ±6.27 years respectively with no difference regarding sex for both patients and controls. Patients with hypertension, diabetes mellitus, valvular heart disease, cardiomyopathies, inflammatory diseases, myocarditis and arrhythmias were excluded. All included individuals were subjected to complete conventional echocardiographic assessment and left ventricular global and segmental mechanical function was assessed using 2D based strain and strain rate (longitudinal, radial and circumferential) imaging. Results: There was no statistically significant difference in LV conventional echo parameters between patients and controls. However, global mean longitudinal strain was significantly lower in patients than controls (-15.05 ± 3.28 vs. -20.22 ± 2.49;p 0.001). For radial and circumferential strain stain, there was no significant changes between patients vs. controls (29.75 ± 18.26 vs. 28.09 ± 15.48;p = 0.74) and (-19.88 ± 8.63 vs. -21.93 ± 5.69;p 0.05) respectively. Conclusion: In spite of normal conventional echo parameters among patients and controls, LV longitudinal strain and strain rate by 2D speckle tracking imaging were lower in the patients denoting subclinical left ventricular mechanical dysfunction in patients with CSX.
文摘目的·探讨血糖控制不理想对2型糖尿病(type 2 diabetes mellitus,T2DM)患者亚临床心脏收缩功能的影响。方法·选取2021年6月—2022年3月于上海市第一人民医院嘉定分院随诊治疗的T2DM患者83例,以糖化血红蛋白(hemoglobin A1c,HbA1c)水平分为血糖控制理想(satisfactory control of glycaemia group,SCG)组和血糖控制不理想(less satisfactory control of glycaemia group,LSCG)组,同时选取对照组受试者54例。标准的超声心动图检查后,分别获取左心室结构和功能参数及左室心内膜下层、心肌中层和心外膜下层整体纵向应变(global longitudinal strain,GLS)指标GLS_(endo)、GLS_(mid)和GLS_(epi)。采用方差分析进行参数比较,相关分析采用Pearson相关分析和多元线性回归分析。应用受试者操作特征(receiver operator characteristic,ROC)曲线分析纵向应变以鉴别T2DM患者亚临床心肌功能损害的诊断效能。结果·室间隔厚度和左室后壁厚度在LSCG组均厚于SCG组和对照组(均P<0.05),而在SCG组和对照组间差异无统计学意义(均P>0.05)。与对照组相比,LSCG组和SCG组的左室舒张功能指标二尖瓣口舒张早期血流速度(early peak flow velocity by Doppler,E)/左心室侧壁二尖瓣环舒张早期运动速度(early diastolic velocity of the mitral annulus by tissue Doppler imaging,e)均较大且差异具有统计学意义(均P<0.05),而LSCG和SCG组间的差异无统计学意义(P>0.05)。左心室射血分数在3组间差异无统计学意义(P>0.05)。与LSCG组比较,GLS_(endo)、GLS_(mid)、GLS_(epi)的收缩形变数值在SCG组和对照组均较大(均P<0.05),而在SCG和对照组间差异无统计学意义(P>0.05)。HbA1c是GLS_(mid)和GLS_(epi)的独立负相关影响因素(β值分别为−0.198和−0.239,均P<0.05)。GLS_(endo)、GLS_(mid)和GLS_(epi)在LSCG与SCG组间具有中等诊断效能,曲线下面积(area under the curve,AUC)分别为0.754(95%CI 0.624~0.884)、0.755(95%CI 0.624~0.885)和0.751(95%CI 0.619~0.882)。结论·血糖控制不理想的T2DM患者心肌收缩功能减低,这种亚临床心肌损害与HbA1c水平呈独立负相关。
文摘Recently,big data becomes evitable due to massive increase in the generation of data in real time application.Presently,object detection and tracking applications becomes popular among research communities and finds useful in different applications namely vehicle navigation,augmented reality,surveillance,etc.This paper introduces an effective deep learning based object tracker using Automated Image Annotation with Inception v2 based Faster RCNN(AIA-IFRCNN)model in big data environment.The AIA-IFRCNN model annotates the images by Discriminative Correlation Filter(DCF)with Channel and Spatial Reliability tracker(CSR),named DCF-CSRT model.The AIA-IFRCNN technique employs Faster RCNN for object detection and tracking,which comprises region proposal network(RPN)and Fast R-CNN.In addition,inception v2 model is applied as a shared convolution neural network(CNN)to generate the feature map.Lastly,softmax layer is applied to perform classification task.The effectiveness of the AIA-IFRCNN method undergoes experimentation against a benchmark dataset and the results are assessed under diverse aspects with maximum detection accuracy of 97.77%.
