Progress in the Clinical Application of Artificial Intelligence for Left Ventricle Analysis in Cardiac Magnetic Resonance.

Cardiac magnetic resonance (CMR) imaging enables a one-stop assessment of heart structure and function. Artificial intelligence (AI) can simplify and automate work flows and improve image post-processing speed and diagnostic accuracy; thus, it greatly affects many aspects of CMR. This review highlights the application of AI for left heart analysis in CMR, including quality control, image segmentation, and global and regional functional assessment.

Graft Fungal Infection After Ascending Aorta Replacement.

Aortic graft infection is an uncommon but highly fatal complication. Correct diagnosis and timely treatment are somewhat challenging. This study presents a case report of successful recognition and treatment of this complication.

Quantitative coronary computed tomography angiography assessment of chronic total occlusion percutaneous coronary intervention.

Background: Morphological and clinical characteristics are widely used to predict the success of percutaneous coronary intervention (PCI) in patients with chronic total occlusion (CTO). However, the impact of quantitative characteristics derived from coronary computed tomography angiography (CCTA) on guidewire crossing and PCI success is still unclear. This study aimed to explore the association between these quantitative characteristics and the difficulty of PCI for CTO.

Inclusion of quantitative high-density plaque in coronary computed tomographic score system to predict the time of guidewire crossing chronic total occlusion.

Objective: This study aimed to establish a new scoring system that includes histological quantitative features derived from coronary computed tomographic angiography (CCTA) to predict the efficiency of chronic total occlusion percutaneous coronary intervention (CTO-PCI).

Methods: This study analyzed clinical, morphological, and histological characteristics of 207 CTO lesions in 201 patients (mean age 60.0 [52.