A study of 399 cardiac tumors: Characteristics of echocardiography and pathological features.

AIMS: This study aimed to summarize the transthoracic echocardiography (TTE) characteristics of cardiac tumors with different pathologies. METHODS: The data of 399 patients with cardiac tumors confirmed by pathology, who had undergone surgical resection were consecutively collected in our hospital between January 1, 2011 and December 31, 2019. The TTE characteristics were summarized and compared with the pathology. RESULTS: Mean patient age was 49.8±15.7 years (22 children and 377 adults), and 62.2% were female. Of the tumors, 90.5% (361) were primary and 9.5% (38) were secondary. Further, 88.7% (354) were benign and 11.3% (45) were malignant. Of the primary tumors (96.1% benign and 3.9% malignant), 84.2% were myxomas, followed by 3.5% lipomas and 1.5% fibromas in adults, while in children, 31.8% were rhabdomyomas and 22.7% were fibromas. The most common type of secondary cardiac tumor was malignant liver carcinoma metastasis (39.5%) and benign intravenous leiomyomatosis with cardiac extension from the uterus (18.4%). TTE features of myxoma showed four variation types among 8.9% of myxomas: liquefaction (anechoic region mostly), calcification (hyperechoic range with a shadow), multiple nodules, and high proliferative activity (a large irregular mass with a wide base and a high Ki67 index). The TTE characteristics of some common benign non-myxoma tumors had specific findings. The TTE features of malignant tumors mostly showed hypoechogenicity, an unclear boundary, a wide basement, and multi-chambers or tissue invasion. CONCLUSIONS: Most cardiac tumors have typical ultrasonic manifestations. Preoperative echocardiography could roughly judge cardiac tumor type and may be helpful for guiding clinical treatment decisions.

Unilateral absence of pulmonary artery analysis based on echocardiographic feature.

The unilateral absence of pulmonary artery (UAPA) is a rare congenital cardiovascular malformation, which is asymptomatic and easy to be ignored in early stage. A large number of complications may occur in the later stage. Therefore, early diagnosis and treatment is of great significance. The imaging data of 49 patients with UAPA discovered and confirmed clinically by the echocardiography in our hospital are analyzed. The results show that left pulmonary artery absence is more common (55%) and most of them are associated with other cardiovascular malformations (92%). Atrial septal defect and patent foramen ovale were most common in 56%. In which the absence of isolated pulmonary artery was 8% (4/49), and the absence of right pulmonary artery was 75% (3/4). Especially in the patients with tetralogy of Fallot, 77% (5/9) of them miss the diagnosis of UAPA. This suggests that doctors and sonographers should pay attention to the development of pulmonary artery bifurcation and left and right branches in multi-section, and strengthen the scanning of short axis section of high large artery.

Differentiation of patients with two-dimensional echocardiography false positive non-compaction of ventricular myocardium by contrast echocardiography.

Although echocardiography can be used to detect patients with non-compaction of the ventricular myocardium, it is often difficult to diagnose. In this study, the endocardium may be clearly visualized by contrast echocardiography to improve the diagnostic accuracy of patients with noncompaction of the ventricular myocardium. Twenty-four patients (n = 24) suspected with non-compaction of the ventricular myocardium Underwent transthoracic echocardiography including an intracardiac contrast echocardiography. The clinical data, Left ventricular opacification, and contrast echocardiography results were analyzed retrospectively. Twenty-four patients (n = 24) suspected with non-compaction of the ventricular myocardium were classified with transthoracic echocardiography and contrast echocardiography results into two groups: false positive and true positive. There were no significant differences in age, predisposing segments, Left Ventricular End-Diastolic Diameter, Left Ventricular End-Diastolic Volume, Left Ventricular End-Systolic Diameter, Left Ventricular End-Systolic Volume and ejection fraction between the two groups (P>0.05). The thickness ratio of noncompacted to compacted myocardium (N/C) in the true positive group was significantly higher than that in the false positive group (3.47 ± 1.31 vs. 4.96 ± 1.28; P<0.05). The range of noncompact myocardium in non-compaction of the ventricular myocardium patients can be observed clearly by Left ventricular opacification. Contrast medium in trabecular space and crypt is plentiful and ultrasonic contrast is more objective in measuring the thickness of dense myocardium. Two-dimensional echocardiography plays a characteristic role in the diagnosis of non-compaction of the ventricular myocardium; however, some suspected patients were observed to be false positive. Left ventricular opacification can greatly improve the clarity and accuracy of the endocardial margin by enhancing left ventricular imaging, displaying the true dense and non-dense layers, and improve the accuracy of ultrasonic diagnosis of non-compaction of the ventricular myocardium. The purpose of this paper was to explore the applied value of contrast echocardiography for heart diagnosis.

A multi-criteria group decision-making framework for investment assessment of offshore floating wind-solar-aquaculture project under probabilistic linguistic environment.

The offshore floating wind-solar-aquaculture (WSA) system with its advantages such as strong seakeeping ability, considerable power generation, and full utilization of ocean space and water resources will have a bright prospect in the future. In order to accelerate the sustainable development of the energy industry, it is very important to build a reasonable investment decision-making framework. Therefore, this paper aims to build a multi-criteria group decision-making (MCGDM) framework for investment decision-making of this project. Firstly, a comprehensive criteria system has been established. Secondly, probabilistic language term sets (PLTSs) are introduced to describe the uncertainty and fuzziness of decision information. Thirdly, the expert weight determination model is established based on the correlation measure and correlation coefficient of PLTSs, and the PL-fuzzy decision-making trial and evaluation laboratory (DEMATEL) method and the information entropy method are introduced to determine the subjective and objective weights of the criteria. In addition, considering the decision maker's psychological behavior, we choose probabilistic language the interactive and multiple attribute decision-making (TODIM) method to determine the optimal investment alternative. Finally, we apply the proposed framework to a case study. The results illustrate that the alternative A3 possesses the optimal comprehensive performance with the overall value is 1. Then, we conduct sensitivity analysis and comparative analysis to verify its robustness and feasibility. Scenario analysis in TODIM method showed that it is reasonable to express decision preference by setting different recession coefficients in the actual decision-making environment. This study can provide some reference for decision-makers, and also extend the method of decision-making field.

A hybrid DEMATEL-COPRAS method using interval-valued probabilistic linguistic term set for sustainable hydrogen fuel cell supplier of new energy vehicles.

With the continuous development of the global economy, global environmental pollution, climate degradation and global warming are becoming increasingly serious. In order to deal with the increasingly serious environmental problems, the government is vigorously supporting and promoting the development of new energy vehicles (NEVs). As the core unit of NEVs, one of the main challenges faced by hydrogen fuel cell (HFC) supplier is to select the best supplier for their business among all possible suppliers. Selecting the optimal supplier is a key decision in green supplier management. Therefore, it is extremely important and meaningful to select an optimal HFC supplier to provide power for NEVs. This paper proposes a new decision-making framework based on Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and Complex proportional assessment (COPRAS) method under interval-valued probabilistic linguistic environment to select the appropriate HFC supplier of NEVs. Firstly, this paper establishes the evaluation criteria system of HFC supplier assessment which is the synthesis of economical, environmental, social, technical, organisation and service aspects. Then, in order to express the uncertainty of expert decision-making, this paper uses interval-valued probabilistic linguistic term set (IVPLTS) to describe the evaluation information. Next, the interval-valued probabilistic linguistic term set decision-making trial and evaluation laboratory (IVPLTS-DEMATEL) method is applied to calculate the criteria weights. Moreover, this paper constructs the interval-valued probabilistic linguistic term set Complex Proportional Assessment (IVPLTS-COPRAS) model for the selection of HFC supplier of NEVs. Finally, a case in China with sensitivity analysis and comparison analysis are executed to illustrate the feasibility and validity of the proposed approach. This paper provides valuable references for investors and companies to select the most appropriate HFC supplier of NEVs under uncertain environment.

A Heart Segmentation Algorithm Based on Dynamic Ultrasound.

The heart is one of the most important organs of the human body. The role of the heart is to promote blood flow and provide sufficient blood flow to organs and tissues. The research on the heart has important theoretical and clinical significance. Because of the noninvasive and intuitive display of ultrasound image, it can dynamically obtain the heart state and has become the main means to detect the heart dynamics. We analyze the characteristics of cardiac ultrasound image from the medical point of view and signal processing. The heart movement is periodic and rhythmic. The image signal can be decomposed. Firstly, the image is decomposed into high- and low-frequency signals to highlight different dimensional information. Then, the attention model was introduced, focusing on the heart region. Finally, the multidimensional network carrying model was established to achieve cardiac segmentation. The experimental results show that the AOM of the algorithm proposed in this paper reaches 92%, which has a certain degree of advancement and can assist doctors to make accurate diagnosis.