Background: Endovascular aortic repair (EVAR) of abdominal aortic aneurysms (AAA)
requires a very complex preoperative planning process, e.g. with respect to stent-graft
selection and stent-graft oversizing, which must be individually adapted to the patient specific
case and which is strongly based on the interventionalist's experience.
Objectives: In this study, it is investigated whether the use of a digital twin could increase
objectivity and optimize the experience based preoperative planning process and hence
reduce the method-associated complication rate.
Methods: Based on preoperative patient-specific data, realistic AAA and realistic stent-graft simulation models of common commercial stent-grafts are generated.
Subsequently, virtual endovascular AAA repair is used to predict the postoperative
configuration of stent-graft and AAA. Different application examples of this process
chain are intended to demonstrate the potential benefits of the use of a digital twin in
EVAR.
Results: The potential applicability and the benefit of a digital twin for the optimization
of the preoperative stent-graft selection and sizing as well as for the predictive
estimation of the complication likelihood based on mechanical and geometrical
parameters could be exemplarily demonstrated and validated.
Conclusions: The good predictive quality makes the digital twin a highly promising
planning tool in the preoperative planning phase of EVAR with potentially versatile
applications.
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Background: Endovascular aortic repair (EVAR) of abdominal aortic aneurysms (AAA)
requires a very complex preoperative planning process, e.g. with respect to stent-graft
selection and stent-graft oversizing, which must be individually adapted to the patient specific
case and which is strongly based on the interventionalist's experience.
Objectives: In this study, it is investigated whether the use of a digital twin could increase
objectivity and optimize the experience based preoperative p...
»