Purpose: This systematic review and meta-analysis was conducted to evaluate the usefulness of deep learning (DL) models for aorta segmentation in computed tomography (CT) images. Methods: Adhering to 2020 PRISMA guidelines, we systematically searched PubMed, Embase, and Web of Science for studies published up to March 13, 2024, that used DL models for aorta segmentation in adults’ chest CT images. We excluded studies that did not use DL models, involved nonhuman subjects or aortic diseases (aneurysms and dissections), or lacked essential data for meta-analysis. Segmentation performance was evaluated primarily in terms of Dice scores. Subgroup analyses were performed to identify variations related to geographical location and methodology. Results: Our review of 16 studies indicated that DL models achieve high segmentation accuracy, with a pooled Dice score of 96%. We further noted geographical variations in model performance but no significant publication bias, according to the Egger test. Conclusion: DL models facilitate aorta segmentation in CT images, and they can therefore guide accurate, efficient, and standardized diagnosis and treatment planning for cardiovascular diseases. Future studies should address the current challenges to enhance model generalizability and evaluate clinical benefits and thus expand the application of DL models in clinical practice.

Background:Ascending aortic pseudoaneurysm (PsA) is an uncommon but surgically challenging problem with high morbidity and mortality. Herein we describe the efficacy and safety of the different approaches to transcatheter intervention for repair of ascending PsA and assess the selection of occluder devices using real-time 3-dimensional (RT 3D) color Doppler transesophageal echocardiography (TEE).Methods and Results:Three patients with complex ascending PsA after cardiac or aortic root surgery were treated with transcatheter intervention due to high risk for redo surgery. Perioperative RT 3D-TEE combined with fluoroscopy was used for monitoring. All ascending PsA were successfully occluded with different devices using the transcatheter technique either with the transapical, transarterial approach, or transvenous combined with hybrid process depending on lesion anatomy.Conclusions:Treatment of complex ascending PsA with transcatheter or combined hybrid intervention with cautious planning based on patient presentation and well-coordinated teamwork was successful. RT 3D color Doppler TEE provided precise information for the selection of appropriate occluder device, and also facilitated the procedure by guiding the catheter through difficult anatomy. (Circ J 2014; 78: 2215–2218)

Background: Although the COVID-19 pandemic has accelerated the adoption of telemedicine and virtual consultations worldwide, complex factors that may affect the use of virtual clinics are still unclear. Objective: This study aims to identify factors associated with the utilization of virtual clinics in the experience of virtual clinic service implementation in Taiwan. Methods: We retrospectively analyzed a total of 187,742 outpatient visits (176,815, 94.2%, in-person visits and 10,927, 5.8%, virtual visits) completed at a large general hospital in Taipei City from May 19 to July 31, 2021, after rapid implementation of virtual outpatient clinic visits due to the COVID-19 pandemic. Data of patients’ demographic characteristics, disease type, physicians’ features, and specialties/departments were collected, and physicians’ opinions regarding virtual clinics were surveyed and evaluated using a 5-point Likert scale. Multilevel analysis was conducted to determine the factors associated with the utilization of virtual clinics. Results: Patient-/visit-, physician-, and department-level factors accounted for 67.5%, 11.1%, and 21.4% of the total variance in the utilization of virtual clinics, respectively. Female sex (odds ratio [OR] 1.27, 95% CI 1.22-1.33, P<.001); residing at a greater distance away from the hospital (OR 2.36, 95% CI 2.15-2.58 if distance>50 km, P<.001; OR 3.95, 95% CI 3.11-5.02 if extensive travel required, P<.001); reimbursement by the National Health Insurance (NHI; OR 7.29, 95% CI 5.71-9.30, P<.001); seeking care for a major chronic disease (OR 1.33, 95% CI 1.24-1.42, P<.001); the physician’s positive attitude toward virtual clinics (OR 1.50, 95% CI 1.16-1.93, P=.002); and visits within certain departments, including the heart center, psychiatry, and internal medicine (OR 2.55, 95% CI 1.46-4.46, P=.004), were positively associated with the utilization of virtual clinics. The patient’s age, the physician’s age, and the physician’s sex were not associated with the utilization of virtual clinics in our study. Conclusions: Our results show that in addition to previously demonstrated patient-level factors that may influence telemedicine use, including the patient’s sex and distance from the hospital, factors at the visit level (insurance type, disease type), physician level (physician’s attitude toward virtual clinics), and department level also contribute to the utilization of virtual clinics. Although there was a more than 300-fold increase in the number of virtual visits during the pandemic compared with the prepandemic period, the majority (176,815/187,742, 94.2%) of the outpatient visits were still in-person visits during the study period. Therefore, it is of great importance to understand the factors impacting the utilization of virtual clinics to accelerate the implementation of telemedicine. The findings of our study may help direct policymaking for expanding the use of virtual clinics, especially in countries struggling with the development and promotion of telemedicine virtual clinic services.

This study aimd to assess recent trends in the control of low-density lipoprotein cholesterol (LDL-C) and the utilization of lipid-lowering drugs (LLD) among patients with atherosclerotic cardiovascular disease (ASCVD) in Taiwan. Patients with ASCVD and without a history of hemorrhagic stroke were identified from the Taiwanese Secondary Prevention for patients with AtheRosCLErotic disease (T-SPARCLE) Registry. ASCVD patients were stratified into four categories: those who ever had acute coronary syndrome (ACS), those who underwent percutaneous coronary intervention or coronary artery bypass grafting (PCI/CABG) without ACS, those who ever had an ischemic stroke (IS) without ACS or PCI/CABG, and other ASCVD cases. We assessed their latest recorded LDL-C levels for the periods 2015-16, 2017-18, and 2019-20. LLD therapy patterns were presented as monotherapy, dual therapy, or combination therapy of three or more drugs, with statin use classified by intensity. We identified 3831 ASCVD patients in 2015-16, 3531 in 2017-18, and 1231 in 2019-20. LLD utilization rose from 58.4% in 2015-16 to 73.2% in 2019-20. The proportions of patients achieving LDL-C goals in 2015-16, 2017-18, and 2019-20 were 21.5%, 25.8%, and 33.3% in the ACS cohort (goal <70 mg/dL); 20.4%, 26.1%, and 39.0% in the PCI/CABG cohort (goal <70 mg/dL); 54.4%, 58.5%, and 58.9% in the IS cohort (goal <100 mg/dL); and 60.0%, 65.5%, and 67.0% in the other ASCVD cohort (goal <100 mg/dL), respectively. Over half of the patients were prescribed moderate-intensity statins. Statin use, age, history of diabetes mellitus, and hypertension were important factors for attaining LDL-C goal in ACS patients. Despite improvements in LDL-C management observed over recent years, significant gaps remain in guideline adherence, especially for patients with ACS or PCI/CABG in Taiwan, with over 60% not meeting LDL-C targets. Intensifying efforts to align clinical practice with guidelines are imperative.