A 91-year-old male patient was admitted with a history of mitral valve prolapse diagnosed by physical examination ten years prior and recent onset of exertional chest discomfort persisting for over one month. Transthoracic echocardiography showed that the anterior leaflet of mitral valve was thickened and prolapsed with severe regurgitation, and transesophageal echocardiography further confirmed that the anterior and posterior leaflets of mitral valve were prolapsed with massive regurgitation (A1, A2, A3, P1 and P2 were all prolapsed). Thus, the diagnosis of Barlow syndrome was considered. Transcatheter edge-to-edge mitral repair was performed with two MitraClip^TM G4 XTWs. After a 10 months follow-up, the patient's cardiac function was significantly improved, and the degree of mitral regurgitation was mild.
Humans ; Male ; Aged, 80 and over ; Mitral Valve Insufficiency/surgery* ; Mitral Valve Prolapse/diagnostic imaging* ; Cardiac Catheterization/methods* ; Mitral Valve/surgery* ; Heart Valve Prosthesis Implantation/methods*

OBJECTIVES: To investigate the application of transesophageal echocar-diography assessment for mitral valve in patients with atrial septal defects undergoing repair surgery. METHODS: The study group comprised of thirty-two adult patients with atrial septal defect who underwent thoracoscopic repair surgery at the First Affiliated Hospital of the Air Force Medical University from March to September 2022. Two-dimensional and real-time three-dimensional transesophageal ultrasonography of the mitral valve were performed after anesthesia. The parameters of the mitral valve structure at the late diastolic and late systolic stages were recorded, including anteroposterior and left-right annular diameters, anterior and posterior valves lengths, the vertical distance from the coaptation point of leaflet zone 2 during systole to the annular plane (mitral valve coaptation depth) and mitral valve coaptation length. Data from 32 patients with normal intracardiac structure and no mitral valve regurgitation (control group) were also collected and compared with those of the study group. Concurrent mitral valvoplasty was performed during the atrial septal defect repair surgery for 7 patients with significant mitral valve structural abnormalities and 2 patients with significantly increased mitral regurgitation after cardiac resuscitation. The study group was followed up with transthoracic echocardiography for 2 years postoperatively. RESULTS: In the study group, 26 (81.3%) patients had varying degrees of mitral valve morphological abnormalities. Among them, 10 (31.3%) patients had short mitral valve coaptation length or depth, 12 (37.5%) patients had closure point malposition, and 4 (12.5%) patients had different bulge of anterior and posterior leaflets. Compared with the control group, the study group had significantly smaller systolic and diastolic mitral left-right annular diameter, mitral posterior valves lengths, mitral coaptation length or depth (all P<0.05), a higher pulmonary systemic flow ratio (P<0.01), and a lower maximum blood flow velocity across the mitral valve (P<0.05). After 2 years of follow-up, among the 9 patients who underwent concurrent mitral valvoplasty, the mitral valve maintained no or little regurgitation, and the average mitral valve pressure difference was less than 5 mmHg (1 mmHg=0.133 kPa). Among the 23 patients without concurrent mitral valvoplasty, 2 patients had moderate regurgitation 1 year after surgery, with a pulmonary/systemic flow ratio larger than 2.8. CONCLUSIONS Patients with large atrial septal defects often have abnormal mitral valve structure. Therefore transesophageal echocardiography is recommended for mitral valve assessment during the surgery. If significant mitral valve structural abnormalities are detected, concurrent mitral valvoplasty is recommended.
Humans ; Heart Septal Defects, Atrial/diagnostic imaging* ; Echocardiography, Transesophageal/methods* ; Mitral Valve/surgery* ; Adult ; Female ; Male ; Middle Aged ; Mitral Valve Insufficiency/diagnostic imaging*

To address the issue of a large number of network parameters and substantial floating-point operations in deep learning networks applied to image segmentation for cardiac magnetic resonance imaging (MRI), this paper proposes a lightweight dilated parallel convolution U-Net (DPU-Net) to decrease the quantity of network parameters and the number of floating-point operations. Additionally, a multi-scale adaptation vector knowledge distillation (MAVKD) training strategy is employed to extract latent knowledge from the teacher network, thereby enhancing the segmentation accuracy of DPU-Net. The proposed network adopts a distinctive way of convolutional channel variation to reduce the number of parameters and combines with residual blocks and dilated convolutions to alleviate the gradient explosion problem and spatial information loss that might be caused by the reduction of parameters. The research findings indicate that this network has achieved considerable improvements in reducing the number of parameters and enhancing the efficiency of floating-point operations. When applying this network to the public dataset of the automatic cardiac diagnosis challenge (ACDC), the dice coefficient reaches 91.26%. The research results validate the effectiveness of the proposed lightweight network and knowledge distillation strategy, providing a reliable lightweighting idea for deep learning in the field of medical image segmentation.
Humans ; Magnetic Resonance Imaging/methods* ; Neural Networks, Computer ; Heart/diagnostic imaging* ; Deep Learning ; Image Processing, Computer-Assisted/methods* ; Algorithms

OBJECTIVES: To investigate the predictive value of myocardial strain for cardiotoxicity associated with fluorouracil-based chemotherapies in gastrointestinal cancer patients. METHODS: Patients with diagnosis of gastrointestinal cancers, who were hospitalized for chemotherapy involving antimetabolic drugs, were eligible in this prospective study. Echocardiography was performed before and after each chemotherapy cycle during hospitalization until the completion of chemotherapy. Cancer therapy-related cardiac dysfunction (CTRCD) was identified if there was a decrease in left ventricular ejection fraction (LVEF) by at least 5% to an absolute value of < 53% from the baseline, accompanied by symptoms or signs of heart failure; or a decrease in LVEF of at least 10% to an absolute value of < 53% from the baseline, without symptoms or signs of heart failure. Subclinical cardiac impairment is defined as a decrease in the left ventricular global longitudinal strain (GLS) of at least 15% from baseline.Clinical data and myocardial strain variables were collected. Changes of echocardiographic indexes after chemotherapy at each cycle were observed and compared to those of pre-chemotherapy. Cox regression analysis was used to determine the associated indexes to CTRCD, and receiver operating characteristic (ROC) curves were plotted for evaluation of their predicting efficacy. RESULTS: Fifty-one patients completed 4 cycles of chemotherapy and were enrolled in the study analysis. LVEF, GLS, GLS epicardium (GLS-epi), and GLS endocardium (GLS-endo) were decreased after the 4 cycles of chemotherapy. Throughout the chemotherapy period, 6 patients (11.8%) progressed to CTRCD. The Cox regression analysis revealed that the change in left atrial ejection fraction (LAEF) and LAS during the reservoir (LASr) phase after the first cycle of chemotherapy (C1v-LAEF and C1v-LASr, respectively) were significantly associated with the development of CTRCD [C1v-LAEF (HR=1.040; 95%CI: 1.000-1.082; P=0.047); C1v-LASr (HR=1.024; 95%CI: 1.000-1.048; P=0.048)]. The sensitivity and specificity were 50.0% and 93.3%, respectively, for C1v-LAEF predicting CTRCD when C1v-LAEF > 19.68% was used as the cut-off value, and were 66.7% and 75.6%, respectively, for C1v-LASr predicting CTRCD when C1v-LASr > 14.73% was used as the cut-off value. The areas under the ROC curve (AUC) for C1v-LAEF and C1v-LASr predicting CTRCD were 0.694 and 0.707, respectively. CONCLUSIONS GLS changes among patients with subclinical impairment of cardiac function who were treated with fluorouracil-based chemotherapies, and C1v-LAEF and C1v-LASr of the left atrium are early predictors of cardiac function deterioration.
Humans ; Fluorouracil/adverse effects* ; Male ; Female ; Middle Aged ; Gastrointestinal Neoplasms/drug therapy* ; Aged ; Echocardiography ; Prospective Studies ; Adult ; Heart/diagnostic imaging*

Objective: To explore the basic characteristics of conventional echocardiography of apical hypertrophic cardiomyopathy (ApHCM) patients complicating with left ventricular apical aneurysm (LVAA). Methods: This is a retrospective study. Patients who underwent echocardiography and cardiac magnetic resonance (CMR) and were diagnosed with ApHCM complicated with LVAA by CMR at Fuwai Hospital, Chinese Academy of Medical Sciences from August 2012 to July 2017 were enrolled. According to whether LVAA was detected by echocardiography, the enrolled patients were divided into two groups: LVAA detected by echocardiography group and LVAA not detected by echocardiography group. Clinical data of the two groups were compared to analyze the causes of missed diagnosis by echocardiography. Results: A total of 21 patients were included, of whom 67.0% (14/21) were males, aged (56.1±16.5) years. Patients with chest discomfort accounted for 81.0% (17/21), palpitation 38.1% (8/21), syncope 14.3% (3/21). ECG showed that 21 (100%) patients had ST-T changes and 18 (85.7%) had deep T-wave invertion. Echocardiography revealed ApHCM in 17 cases (81.0%) and LVAA in 7 cases (33.3%). The mean left ventricular apical aneurysm diameter was 33.0 (18.0, 37.0) mm, and left ventricular ejection fraction was (66.5±6.6) %, and left ventricular apex thickness was (21.0±6.3) mm. Left ventricular outflow tract obstruction was presented in 4 cases and middle left ventricular obstruction in 10 cases. The mean left ventricular apical aneurysm diameter of LVAA detected by echocardiography was greater than that of LVAA not detected by echocardiography (25.0 (18.0, 28.0) mm vs. 16.0 (12.3, 21.0) mm, P=0.006). Conclusions: Conventional echocardiography examination has certain limitations in the diagnosis of ApHCM. Smaller LVAA complicated with ApHCM is likely to be unrecognized by echocardiography. Clinicians should improve their understanding of this disease.
Male ; Humans ; Female ; Apical Hypertrophic Cardiomyopathy ; Retrospective Studies ; Stroke Volume ; Cardiomyopathy, Hypertrophic/diagnostic imaging* ; Ventricular Function, Left ; Echocardiography ; Heart Aneurysm/diagnostic imaging*

OBJECTIVES: To study the left heart structure and functional characteristics of term neonates with intrauterine growth restriction (IUGR). METHODS: This study included 86 term neonates with IUGR admitted to the Neonatal Ward of Beijing Friendship Hospital, Capital Medical University from January 2019 to January 2022 as the IUGR group, as well as randomly selected 86 term neonates without IUGR born during the same period as the non-IUGR group. The clinical data and echocardiographic data were compared between the two groups. RESULTS: The analysis of left heart structure and function showed that compared with the non-IUGR group, the IUGR group had significantly lower left ventricular mass, left ventricular end-diastolic diameter, left ventricular end-systolic diameter, left atrial diameter, end-diastolic interventricular septal thickness, left ventricular posterior wall thickness, left ventricular end-diastolic volume, left ventricular end-systolic volume, and stroke volume (P<0.05) and significantly higher ratio of end-diastolic interventricular septal thickness to left ventricular posterior wall thickness, proportion of neonates with a mitral peak E/A ratio of ≥1, and cardiac index (P<0.05). The Spearman correlation analysis suggested that stroke volume was positively correlated with birth weight and body surface area (r_s=0.241 and 0.241 respectively; P<0.05) and that the ratio of end-diastolic interventricular septal thickness to left ventricular posterior wall thickness was negatively correlated with birth weight and body surface area (r_s=-0.229 and -0.225 respectively; P<0.05). CONCLUSIONS The left ventricular systolic function of neonates with IUGR is not significantly different from that of neonates without IUGR. However, the ventricular septum is thicker in neonates with IUGR. This change is negatively correlated with birth weight and body surface area. The left ventricular diastolic function may be impaired in neonates with IUGR.
Humans ; Infant, Newborn ; Birth Weight ; Echocardiography ; Fetal Growth Retardation ; Heart ; Heart Ventricles/diagnostic imaging* ; Ventricular Function, Left

Objective: To explore the current situation of fetal heart defects in Yunnan Province and surrounding high altitude areas and the social factors affecting pregnancy outcome. Methods: This is a retrospective study. Pregnant woman who underwent fetal echocardiography and diagnosed as fetal cardiac defects in Yunnan Fuwai Cardiovascular Hospital from June 2017 to January 2021 were included. According to the clinical prognostic risk scoring system and grading criteria of fetal cardiac birth defects, the cases were divided into grade Ⅰ to Ⅳ. The disease distribution and proportion of each prognostic grade, pregnancy outcomes were analyzed and compared. The cases were divided into continued pregnancy group and terminated pregnancy group according to pregnancy outcome. The social factors that may affect the selection of pregnancy outcomes were analyzed by multivariate logistic regression analysis. Results: A total of 4 929 fetal echocardiography examination data were collected, and 4 464 cases (90.57%) were from Yunnan Province and surrounding high altitude areas. 2 166 cases of heart defects were finally analyzed, including 998 cases of congenital heart disease (CHD), 93 cases of cardiac tumors, cardiomyopathy and arrhythmia, 1 075 cases of foramen ovale, ductus arteriosus abnormalities and normal variations. The pregnant women were (29.2±5.0) years old with (25.6±3.8) gestational weeks. The number of cases with prognostic grade from Ⅰ to Ⅳ was 1 037 (47.88%), 620 (28.62%), 314 (14.50%), and 44 (2.03%), respectively. And 151 cases (6.97%) were not classified. The cases of normal variation and thin aortic arch development accounted for 42.66% (924/2 166), 5.22% (113/2 166), respectively. The top 3 diseases of grade Ⅱ were ventricular septal defect, coarctation of aorta and mild-moderate pulmonary stenosis, respectively, and their distribution was 11.63% (252/2 166), 3.92% (85/2 166) and 2.35% (51/2 166) respectively in all cases of heart defects, and 25.25% (252/998), 8.52% (85/998) and 5.11% (51/998) respectively in cases of CHD. Among the cases rated as grade Ⅲ and Ⅳ, most of them were complicated congenital heart disease, and the disease types are scattered. The more common cases in grade Ⅲ were complete transposition of great arteries (accounting for 2.40% (52/2 166) of all cases with heart defects, 5.21% (52/998) of all cases with CHD) and pulmonary artery occlusion (type Ⅰ to Ⅲ) with ventricular septal defect (accounting for 2.17% (47/2 166) of all cases with heart defects, and 4.71% (47/998) of all cases with CHD). In grade Ⅳ, single ventricle (0.74% (16/2 166) of all cases with heart defects, 1.60% (16/998) of all cases with CHD) and left ventricular dysplasia syndrome (0.65% (14/2 166) of all cases with heart defects, 1.40% (14/998) of all cases with CHD) are more common. A total of 1 084 cases were successfully followed up, and 675 cases were born, 392 cases were terminated, spontaneous abortion occurred in 17 cases. The proportion of terminated pregnancy cases was significantly increased from grade Ⅰ to Ⅳ, accounting for 5.24% (21/401), 27.78% (70/252), 89.54% (214/239) and 95.56% (43/45), respectively. Among the terminated pregnancy cases, those with grade Ⅲ accounted for the highest proportion (54.59% (214/392)). The distribution of terminated pregnancy cases was mainly complex congenital malformations or diseases with very poor prognosis (pregnancy outcome grade Ⅲ and Ⅳ), and proportion of terminated pregnancy with pregnancy outcome grade Ⅰ and Ⅱ cases (normal variation or good prognosis) accounted for 5.36% (21/392) and 17.86% (70/392), respectively. The results of multivariate logistic regression analysis showed that pregnant women with low education (high school and below: OR=2.73, 95%CI 1.26-5.93, P<0.001; illiteracy: OR=3.27, 95%CI 1.29-7.10, P<0.001) and low family income (Annual income<100 000 yuan: OR=2.47, 95%CI 1.69-5.12, P<0.001) were more likely to choose termination of pregnancy in case of fetal heart defect. Conclusion: In Yunnan province and the surrounding high altitude areas, the disease distribution of fetal heart defect is mainly simple or low-risk disease, but the complex malformation, especially the disease with poor pregnancy outcome, accounts for a relative high proportion. Pregnancy termination also occurs in some cases with good pregnancy outcome. The education level and family income of pregnant women may affect their choice of pregnancy outcome in case of fetal heart defect.
Pregnancy ; Female ; Humans ; Young Adult ; Adult ; Retrospective Studies ; Altitude ; China/epidemiology* ; Heart Defects, Congenital/diagnostic imaging* ; Heart Septal Defects, Ventricular ; Echocardiography ; Fetal Heart/diagnostic imaging*

Coronary artery fractional flow reserve (FFR) is a critical physiological indicator for assessment of impaired blood flow caused by coronary artery stenosis. The wire-based invasive measurement of blood flow pressure gradient across stenosis is the gold standard for clinical measurement of FFR. However, it has the risk of vascular injury and requires the use of vasodilators, increasing the time and overall cost of interventional examination. Coronary imaging is playing an important role in clinical diagnosis of stenotic lesions, evaluation of severity of lesions, and planning of therapies. In recent years, the computation of FFR based on the physiological information of blood flow obtained from routinely collected coronary image data has become a research focus in this field. This technique reduces the cost of physiological assessment of coronary lesions and the use of pressure wires. It is beneficial to strengthen the physiological guidance in interventional therapy. In order to better understand this emerging technique, this paper highlights its implementation principle and diagnostic performance, analyzes practical problems and current challenges in clinical applications, and discusses possible future development.
Humans ; Coronary Vessels/diagnostic imaging* ; Fractional Flow Reserve, Myocardial ; Heart ; Constriction, Pathologic ; Coronary Stenosis/diagnostic imaging*

BACKGROUND: Right ventricular (RV)-arterial uncoupling is a powerful independent predictor of prognosis in heart failure with preserved ejection fraction (HFpEF). Coronary artery disease (CAD) can contribute to the pathophysiological characteristics of HFpEF. This study aimed to evaluate the prognostic value of RV-arterial uncoupling in acute HFpEF patients with CAD. METHODS: This prospective study included 250 consecutive acute HFpEF patients with CAD. Patients were divided into RV-arterial uncoupling and coupling groups by the optimal cutoff value, based on a receiver operating characteristic curve of tricuspid annular plane systolic excursion to pulmonary artery systolic pressure (TAPSE/PASP). The primary endpoint was a composite of all-cause death, recurrent ischemic events, and HF hospitalizations. RESULTS: TAPSE/PASP ≤0.43 provided good accuracy in identifying patients with RV-arterial uncoupling (area under the curve, 0.731; sensitivity, 61.4%; and specificity, 76.6%). Of the 250 patients, 150 and 100 patients could be grouped into the RV-arterial coupling (TAPSE/PASP >0.43) and uncoupling (TAPSE/PASP ≤0.43) groups, respectively. Revascularization strategies were slightly different between groups; the RV-arterial uncoupling group had a lower rate of complete revascularization (37.0% [37/100] vs . 52.7% [79/150], P <0.001) and a higher rate of no revascularization (18.0% [18/100] vs . 4.7% [7/150], P <0.001) compared to the RV-arterial coupling group. The cohort with TAPSE/PASP ≤0.43 had a significantly worse prognosis than the cohort with TAPSE/PASP >0.43. Multivariate Cox analysis showed TAPSE/PASP ≤0.43 as an independent associated factor for the primary endpoint, all-cause death, and recurrent HF hospitalization (hazard ratios [HR]: 2.21, 95% confidence interval [CI]: 1.44-3.39, P <0.001; HR: 3.32, 95% CI: 1.30-8.47, P = 0.012; and HR: 1.93, 95% CI: 1.10-3.37, P = 0.021, respectively), but not for recurrent ischemic events (HR: 1.48, 95% CI: 0.75-2.90, P = 0.257). CONCLUSION RV-arterial uncoupling, based on TAPSE/PASP, is independently associated with adverse outcomes in acute HFpEF patients with CAD.
Humans ; Prognosis ; Prospective Studies ; Stroke Volume/physiology* ; Echocardiography, Doppler/adverse effects* ; Coronary Artery Disease/complications* ; Heart Failure ; Pulmonary Artery/diagnostic imaging* ; Ventricular Function, Right/physiology* ; Ventricular Dysfunction, Right

Heart failure is a disease that seriously threatens human health and has become a global public health problem. Diagnostic and prognostic analysis of heart failure based on medical imaging and clinical data can reveal the progression of heart failure and reduce the risk of death of patients, which has important research value. The traditional analysis methods based on statistics and machine learning have some problems, such as insufficient model capability, poor accuracy due to prior dependence, and poor model adaptability. In recent years, with the development of artificial intelligence technology, deep learning has been gradually applied to clinical data analysis in the field of heart failure, showing a new perspective. This paper reviews the main progress, application methods and major achievements of deep learning in heart failure diagnosis, heart failure mortality and heart failure readmission, summarizes the existing problems and presents the prospects of related research to promote the clinical application of deep learning in heart failure clinical research.
Humans ; Artificial Intelligence ; Deep Learning ; Heart Failure/diagnosis* ; Machine Learning ; Diagnostic Imaging