Diaz-Zuccarini, V;
Bonfanti, M;
Franzetti, G;
Balabani, S;
(2018)
Virtual TEVAR: Overcoming the Roadblocks of In-Silico Tools for Aortic Dissection Treatment.
Theranostics
, 8
(22)
, Article 30753. 10.7150/thno.30753.
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Abstract
The use of in silico tools for the interventional planning of complex vascular conditions, such as Aortic Dissections has been often limited by high computational cost, involving long timescales for accurate results to be produced and low numbers of patients, precluding the use of statistical analyses to inform individual-level models. In the paper [Theranostics 2018; 8(20):5758-5771. doi:10.7150/thno.28944], Chen et al. proposed a novel algorithm to compute patient-specific ‘virtual TEVAR’ that will help clinicians to approach individual treatment and decision-making based on objective and quantifiable metrics and validated on a cohort of 66 patients in real time. This research will significantly impact the field and has the potential to transform the way clinical interventions will be approached in the future
| Type: | Article |
|---|---|
| Title: | Virtual TEVAR: Overcoming the Roadblocks of In-Silico Tools for Aortic Dissection Treatment |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.7150/thno.30753 |
| Publisher version: | https://doi.org/10.7150/thno.30753 |
| Language: | English |
| Additional information: | Copyright © Ivyspring International Publisher. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10065160 |
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