Background: Neovascularisation of carotid plaques contributes to their vulnerability. Current imaging methods such as contrast-enhanced ultrasound (CEUS) usually lack the required spatial resolution and quantification capability for precise neovessels identification. We aimed at quantifying plaque vascularisation with ultrasound localization microscopy (ULM) and compared the results to histological analysis.
View Article and Find Full Text PDFBackground: To quantify the volumetric aortic remodeling of patients with acute type B aortic dissection treated with the stent-assisted balloon-induced intimal disruption and relamination (STABILISE) technique.
Methods: All patients with acute type B aortic dissection operated with the STABILISE technique between 2014 and 2017 with preoperative, postoperative, and >12 months (follow-up) computed tomography scans were included in this study. True lumen and total aortic volume were accurately assessed in the thoracic and abdominal portions with a semiautomatic three-dimensional tool.
Objective: Due to its favorable outcome regarding late morbidity and mortality, thoracic endovascular repair (TEVAR) is becoming more popular for uncomplicated type B aortic dissection (TBAD). This study aimed to compare preemptive endovascular treatment and optimal medical treatment (OMT) and OMT alone in patients presenting uncomplicated TBAD with predictors of aortic progression.
Design: Retrospective multicenter study.
Backgroud: The learning curve and midterm results of aortoiliac occlusive disease (AIOD) revascularization by robot-assisted laparoscopic (RAL) surgery may be known.
Methods: A prospective single-center study was conducted in the vascular surgery department of Georges Pompidou European Hospital (Paris, France). Patients with AIOD treated by RAL from February 2014 to February 2019 were included.
Comput Methods Programs Biomed
February 2024
Background And Objective: Endovascular aortic aneurysm repair (EVAR) has become the standard treatment for abdominal aortic aneurysms in most centers. However, proximal sealing complications leading to endoleaks and migrations sometimes occur, particularly in unfavorable aortic anatomies and are strongly dependent on biomechanical interactions between the aortic wall and the endograft. The objective of the present work is to develop and validate a computational patient-specific model that can accurately predict these complications.
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