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Four-dimensional computed tomography analysis of bicuspid aortic valves.
JTCVS Tech
October 2024
Department of Cardiothoracic Surgery, Limoges University Hospital, Limoges, France.
Article Synopsis
- The study aimed to assess how 4D analysis using multiphase cardiac CT can help describe the aortic annulus in patients with bicuspid aortic valves, comparing it to those with normal tricuspid valves.
- The methodology involved analyzing cardiac CT scans of 15 BAV patients and 15 TAV patients, measuring various 3D characteristics of the aortic annulus across different phases of the heart's cycle.
- Results showed that the aortic annulus in BAV patients was significantly larger in multiple dimensions compared to TAV patients and demonstrated that 3D shape analysis can effectively differentiate between various types of BAV, revealing important anatomical details like the position of nonfunctional commissures.
Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.
Int J Cardiovasc Imaging
May 2024
Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, Zurich, 8091, Switzerland.
Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived technological advances but became one of the cornerstones of contemporary cardiovascular imaging. Its simplicity and quantitative nature established it as one of the most robust approaches for atherosclerotic cardiovascular disease risk stratification in primary prevention and a powerful tool to guide therapeutic choices. Groundbreaking advances in computational models and computer power translated into a surge of artificial intelligence (AI)-based approaches directly or indirectly linked to CACS analysis.
View Article and Find Full Text PDFReversible complete atrioventricular block caused by aortic bicuspid valve calcification with severe aortic stenosis: a case report.
Eur Heart J Case Rep
April 2024
Department of Cardiology and Clinical Examination, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama, Yufu City, 879-5593 Oita, Japan.
Background: The aetiology of secondary complete atrioventricular blocks includes ischaemia, cardiac sarcoidosis, electrolyte imbalance, drug use, rheumatic fever, and infections such as Lyme disease and endocarditis. Diagnosis is important since some of these causes are reversible. Although several studies have reported on aortic valve calcification causing complete atrioventricular blocks, no study has described improvement of complete atrioventricular blocks by removal of the calcification.
View Article and Find Full Text PDFFully Automated Agatston Score Calculation From Electrocardiography-Gated Cardiac Computed Tomography Using Deep Learning and Multi-Organ Segmentation: A Validation Study.
Angiology
January 2024
Department of Cardiology, Frimley Park Hospital NHS Foundation Trust, Camberley, UK.
To evaluate deep learning-based calcium segmentation and quantification on ECG-gated cardiac CT scans compared with manual evaluation. Automated calcium quantification was performed using a neural network based on mask regions with convolutional neural networks (R-CNNs) for multi-organ segmentation. Manual evaluation of calcium was carried out using proprietary software.
View Article and Find Full Text PDFPreoperative Evaluation of Mitral Valve Calcification Using Electrocardiography-Gated 4-Dimensional Computed Tomography for Safer MitraClip Procedure.
Circ Rep
December 2023
Division of Cardiovascular Medicine, Hyogo Prefectural Harima-Himeji General Medical Center Himeji Japan.
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