Traditional surgical repair of ascending aortic pseudoaneurysm is complex, technically challenging, and associated with significant mortality. Although new minimally invasive procedures are rapidly arising thanks to the innovations in catheter-based technologies, the endovascular repair of the ascending aorta is still limited because of the related anatomical challenges. In this context, the integration of the clinical considerations with dedicated bioengineering analysis, combining the vascular features and the prosthesis design, might be helpful to plan the procedure and predict its outcome. Moving from such considerations, in the present study we describe the use of a custom-made stent-graft to perform a fully endovascular repair of an asymptomatic ascending aortic pseudoaneurysm in a patient, who was a poor candidate for open surgery. We also discuss the possible contribution of a dedicated medical images analysis and patient-specific simulation as support to procedure planning. In particular, we have compared the simulation prediction based on pre-operative images with post-operative outcomes. The agreement between the computer-based analysis and reality encourages the use of the proposed approach for a careful planning of the treatment strategy and for an appropriate patient selection, aimed at achieving successful outcomes for endovascular treatment of ascending aortic pseudoaneurysms as well as other aortic diseases.

Patient-specific aortic endografting simulation : from diagnosis to prediction / F. Auricchio, M. Conti, S. Marconi, A. Reali, J.L. Tolenaar, S. Trimarchi. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - 43:4(2013 May 01), pp. 386-394. [10.1016/j.compbiomed.2013.01.006]

Patient-specific aortic endografting simulation : from diagnosis to prediction

S. Trimarchi
Ultimo
2013

Abstract

Traditional surgical repair of ascending aortic pseudoaneurysm is complex, technically challenging, and associated with significant mortality. Although new minimally invasive procedures are rapidly arising thanks to the innovations in catheter-based technologies, the endovascular repair of the ascending aorta is still limited because of the related anatomical challenges. In this context, the integration of the clinical considerations with dedicated bioengineering analysis, combining the vascular features and the prosthesis design, might be helpful to plan the procedure and predict its outcome. Moving from such considerations, in the present study we describe the use of a custom-made stent-graft to perform a fully endovascular repair of an asymptomatic ascending aortic pseudoaneurysm in a patient, who was a poor candidate for open surgery. We also discuss the possible contribution of a dedicated medical images analysis and patient-specific simulation as support to procedure planning. In particular, we have compared the simulation prediction based on pre-operative images with post-operative outcomes. The agreement between the computer-based analysis and reality encourages the use of the proposed approach for a careful planning of the treatment strategy and for an appropriate patient selection, aimed at achieving successful outcomes for endovascular treatment of ascending aortic pseudoaneurysms as well as other aortic diseases.
English
Aortic endograft; Computational biomechanics; Finite element analysis; Patient-specific model
Settore MED/22 - Chirurgia Vascolare
Articolo
Esperti non anonimi
Ricerca applicata
Pubblicazione scientifica
1-mag-2013
Elsevier
43
4
386
394
9
Pubblicato
Periodico con rilevanza internazionale
Aderisco
info:eu-repo/semantics/article
Patient-specific aortic endografting simulation : from diagnosis to prediction / F. Auricchio, M. Conti, S. Marconi, A. Reali, J.L. Tolenaar, S. Trimarchi. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - 43:4(2013 May 01), pp. 386-394. [10.1016/j.compbiomed.2013.01.006]
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Prodotti della ricerca::01 - Articolo su periodico
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262
Article (author)
no
F. Auricchio, M. Conti, S. Marconi, A. Reali, J.L. Tolenaar, S. Trimarchi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/285520
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