Prediction of Thoracic Endovascular Aortic Repair Intervention: Proof of Concept using Digital Twin Technology

The credibility of a TEVAR digital twin is essential for its trustworthiness and integration into clinical practice. The findings, achieved in a short time, validate the use of numerical simulations for predicting short term stent graft post-operative geometry in patient specific anatomies. By enabling personalised planning, digital twins could help optimise procedure strategies, reduce complications, and improve TEVAR outcomes.

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Publication Details

Journal
European Journal of Vascular and Endovascular Surgery
Published
2026-01-01
DOI
https://doi.org/10.1016/j.ejvs.2026.01.008
Citations
1
Primary Topic
Aortic Disease and Treatment Approaches
Type
article
Field-Weighted Citation Impact
36.44
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article

Prediction of Thoracic Endovascular Aortic Repair Intervention: Proof of Concept using Digital Twin Technology

Anna Ramella, Giulia De Campo, Santi Trimarchi, Irene Fulgheri et al.
1 citations
European Journal of Vascular and Endovascular Surgery
Aortic Disease and Treatment Approaches
36.44
article

Prediction of Thoracic Endovascular Aortic Repair Intervention: Proof of Concept using Digital Twin Technology

Anna Ramella, Giulia De Campo, Santi Trimarchi, Irene Fulgheri, Sara Barati, Gabriele Piffaretti, Maurizio Domanin, Robin Heijmen, Giulia Luraghi, Francesco Migliavacca
article en
1 citations

Abstract

The credibility of a TEVAR digital twin is essential for its trustworthiness and integration into clinical practice. The findings, achieved in a short time, validate the use of numerical simulations for predicting short term stent graft post-operative geometry in patient specific anatomies. By enabling personalised planning, digital twins could help optimise procedure strategies, reduce complications, and improve TEVAR outcomes.

European Journal of Vascular and Endovascular Surgery
University of Insubria (IT), Radboud University Nijmegen (NL), Radboud University Medical Center (NL), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), Politecnico di Milano (IT)
Partnerships for the goals
Openalex Percentile: Top 2%
Aortic Disease and Treatment Approaches
36.44
DOIOpen Access PDFOpenAlex
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Prediction of Thoracic Endovascular Aortic Repair Intervention: Proof of Concept using Digital Twin Technology — Anna Ramella, Giulia De Campo, et al. · European Journal of Vascular and Endovascular Surgery (2026) | TGRS Research Map | TGRS