Publications by authors named "K Bouaou"

Background: Ascending thoracic aortic aneurysm (ATAA) is a silent and threatening dilation of the ascending aorta (AscAo). Maximal aortic diameter which is currently used for ATAA patients management and surgery planning has been shown to inadequately characterize risk of dissection in a large proportion of patients. Our aim was to propose a comprehensive quantitative evaluation of aortic morphology and pressure-flow-wall associations from four-dimensional (4D) flow cardiovascular magnetic resonance (CMR) data in healthy aging and in patients with ATAA.

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Article Synopsis
  • - The study aims to create a deep learning-based automated method for detecting aortic landmarks and lumen in 3D MRI scans, which can lead to more efficient and consistent evaluations of aortic diseases.
  • - A total of 391 participants, including healthy individuals and patients with various aortic conditions, were involved, and their data was split into training, validation, and testing groups for the deep learning model.
  • - Various statistical measures were employed to evaluate the performance of the deep learning model against traditional methods, focusing on segmentation accuracy and landmark detection to ensure robust results in assessing aortic morphology.
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Background And Objective: Aortic stiffness can be evaluated by aortic distensibility or pulse wave velocity (PWV) using applanation tonometry, 2D phase contrast (PC) MRI and the emerging 4D flow MRI. However, such MRI tools may reach their technical limitations in populations with cardiovascular disease. Accordingly, this work focuses on the diagnostic value of aortic stiffness evaluated either by applanation tonometry or MRI in high-risk coronary artery disease (CAD) patients.

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Purpose: The purpose of this study was to investigate the benefit of aortic volumes compared to diameters or cross-sectional areas on three-dimensional (3D) magnetic resonance imaging (MRI) in discriminating between patients with dilated aorta and matched controls.

Materials And Methods: Sixty-two patients (47 men and 15 women; median age, 66 years; age range: 33-86 years) with tricuspid aortic valve and ascending thoracic aorta aneurysm (TAV-ATAA) and 43 patients (35 men and 8 women; median age, 51 years; age range: 17-76 years) with bicuspid aortic valve and dilated ascending aorta (BAV) were studied. One group of 54 controls matched for age and sex to patients with TAV-ATAA (39 men and 15 women; median age, 68 years; age range: 33-81 years) and one group of 42 controls matched for age and sex to patients with BAV (34 men and 8 women; median age, 50 years; age range: 17-77 years) were identified.

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Background: Multiple sclerosis (MS) places a considerable financial burden on the society. However, data quantifying the contemporary cost burden in France are lacking.

Objective: This cost-of-illness study aimed to estimate the direct and indirect costs associated with MS in France.

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