Simulation of thoracic endovascular aortic repair in a perfused patient-specific model of type B aortic dissection

Mechanisms of aortic dissection: From pathological changes to experimental and in silico models

Aortic dissection continues to be responsible for significant morbidity and mortality, although recent advances in medical data assimilation and in experimental and in silico models have improved our understanding of the initiation and progression of the accumulation of blood within the aortic wall. Hence, there remains a pressing necessity for innovative and enhanced models to more accurately characterize the associated pathological changes. Early on, experimental models were employed to uncover mechanisms in aortic dissection, such as hemodynamic changes and alterations in wall microstructure, and to assess the efficacy of medical implants. While experimental models were once the only option available, more recently they are also being used to validate in silico models. Based on an improved understanding of the deteriorated microstructure of the aortic wall, numerous multiscale material models have been proposed in recent decades to study the state of stress in dissected aortas, including the changes associated with damage and failure. Furthermore, when integrated with accessible patient-derived medical data, in silico models prove to be an invaluable tool for identifying correlations between hemodynamics, wall stresses, or thrombus formation in the deteriorated aortic wall. They are also advantageous for model-guided design of medical implants with the aim of evaluating the deployment and migration of implants in patients. Nonetheless, the utility of in silico models depends largely on patient-derived medical data, such as chosen boundary conditions or tissue properties. In this review article, our objective is to provide a thorough summary of medical data elucidating the pathological alterations associated with this disease. Concurrently, we aim to assess experimental models, as well as multiscale material and patient data-informed in silico models, that investigate various aspects of aortic dissection. In conclusion, we present a discourse on future perspectives, encompassing aspects of disease modeling, numerical challenges, and clinical applications, with a particular focus on aortic dissection. The aspiration is to inspire future studies, deepen our comprehension of the disease, and ultimately shape clinical care and treatment decisions.

Planning the use of endografts in the endovascular repair of complex abdominal and thoraco-abdominal aortic lesions leveraging 3D printing

INTRODUCTION

Endovascular techniques and materials have significantly expanded their application in the treatment of abdominal and thoraco-abdominal aortic lesions, allowing for the management of increasingly complex pathologies that may require cannulation of target vessels. The treatment of such diseases deserves a particular approach and dedicated materials, for which correct procedural planning is mandatory. In the last decades, the use of 3D printing technology as an assisting tool for preoperative rehearsal of complex cases has progressively widespread.

AREAS COVERED

A review was performed about the use of 3D printing technology for the planning of endovascular repair of complex abdominal and thoraco-abdominal aortic lesions. Also, our experience of planning and simulation of an elective challenging endovascular procedure for a Crawford's type II thoraco-abdominal aortic aneurysm using a Cook Zenith® T-BranchTM endograft, leveraging a 3D-printed model of the patient-specific anatomy from the aortic arch to the common femoral artery, is herein described.

EXPERT OPINION

The benefits of using 3D printing technologies as an assistive tool in planning complex endovascular repairs of abdominal and thoraco-abdominal aortic lesions have been well-documented in the literature, including their application in urgent cases. However, further research and development are necessary to overcome the current limitations of this potentially highly valuable technology.