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Hector W.L. de Beaufort

Researcher at Utrecht University

Publications -  41
Citations -  589

Hector W.L. de Beaufort is an academic researcher from Utrecht University. The author has contributed to research in topics: Thoracic aorta & Aortic arch. The author has an hindex of 12, co-authored 34 publications receiving 373 citations. Previous affiliations of Hector W.L. de Beaufort include University of Milan.

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A geometric reappraisal of proximal landing zones for thoracic endovascular aortic repair according to aortic arch types.

TL;DR: The aortic arch classification is associated with a consistent geometric pattern of the aortIC arch map, which identifies specific proximal landing zones with suboptimal angulation for stent graft deployment and appears to have progressively less favorable anatomy for thoracic endovascular aorta repair compared with arch I.
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Aortic dissection in patients with Marfan syndrome based on the IRAD data

TL;DR: The Marfan syndrome cohort that was treated with open surgery for type B dissection seemed to do especially well, with a 0% mortality rate, and follow-up data for type A and B dissections combined show an estimated five-year survival rate of 80.1% and an estimated reintervention rate of 55.3% in patients with Marfan Syndrome.
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Changes in aortic pulse wave velocity of four thoracic aortic stent grafts in an ex vivo porcine model

TL;DR: In this experimental set-up, aortic stiffness increased significantly after stent graft deployment with each of the four types ofStent graft, with the increase in aorti stiffness depending on the extent of Stent graft coverage.
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Status of branched endovascular aortic arch repair.

TL;DR: The results of branched TEVAR are promising, yet stroke remains the predominant periprocedural concern, so these procedures should be limited to select expert centers where the design and deployment procedure ofbranched endografts can be further developed to reduce the risk of stroke.
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The Modified Arch Landing Areas Nomenclature (MALAN) Improves Prediction of Stent Graft Displacement Forces: Proof of Concept by Computational Fluid Dynamics Modelling.

TL;DR: CFD modelling suggests that MALAN improves discrimination of expected displacement forces in proximal landing zones for TEVAR, which might influence clinical outcomes, however, the clinical relevance remains to be validated in a dedicated post-operative outcome analysis of patients treated byTEVAR of the arch.