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- Title
EVAR-eaSE: An Easy-to-Use Software for Planning Sac Embolization in EndoVascular Aneurysm Repair Procedure.
- Authors
Cercenelli, Laura; Lodi, Simone; Bortolani, Barbara; Mascoli, Chiara; Gargiulo, Mauro; Marcelli, Emanuela
- Abstract
Featured Application: The new software described in the manuscript is intended for application in the vascular field to support the surgeons in preoperative planning of endovascular aneurysm repair (EVAR) procedure. Background: Endovascular aneurysm repair (EVAR) has become the primary choice of treatment for abdominal aortic aneurysm (AAA) and preventive intraoperative AAA sac embolization (SE) is an effective way to reduce endoleaks after EVAR. Preoperative planning of AAA SE has not been standardized yet, and typically requires a quite long and operator-dependent procedure using standard EVAR planning software. Methods: We introduce 'EVAR-eaSE', a software tool that we have developed to help vascular surgeons to plan the optimal SE procedure during EVAR, providing semi-automatic AAA segmentation and 3D modeling starting from patient scans, and then computing the aneurysm volumes. A preliminary accuracy evaluation on radiological phantoms, and a comparison with the commercial 3Mensio software for EVAR planning are carried out. Results: EVAR-eaSE software showed a good level of accuracy in aneurysm volume reconstruction and calculation (mean difference of 2.5% between real and segmented phantom volumes). A strong positive correlation (r = 0.940, r = 0.954, p < 0.001) was found between EVAR-eaSE computation of AAA Lumen and AAA Total volumes and the same measurements obtained with 3Mensio, for a database of 26 AAA cases. Conclusions: EVAR-eaSE demonstrated to be an easy-to-use, objective and accurate tool to assist the vascular surgeons in preoperative planning of SE during EVAR.
- Subjects
ENDOVASCULAR surgery; IMAGING phantoms; ABDOMINAL aortic aneurysms; APPLICATION software; SOFTWARE development tools
- Publication
Applied Sciences (2076-3417), 2020, Vol 10, Issue 18, p6252
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app10186252