Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/13607
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMilašinović, Danko-
dc.contributor.authorSekulic, Dejan-
dc.contributor.authorNikolic, Dalibor-
dc.contributor.authorVukicevic, Arso-
dc.contributor.authorTomic Lucic, Aleksandra-
dc.contributor.authorMiladinovic, Uroš-
dc.contributor.authorPaunovic, Dragana-
dc.contributor.authorFilipovic, Nenad-
dc.date.accessioned2021-09-24T23:04:29Z-
dc.date.available2021-09-24T23:04:29Z-
dc.date.issued2021-
dc.identifier.issn0169-2607-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/13607-
dc.description.abstractBackground and objective: Peripheral arterial disease of the lower limbs, which affects 12-14% of the population, is often treated by bypassing a blocked portion of the vessel. Due to the limited ability of clinicians to predict the outcome of a selected bypass strategy, the five-year graft occlusion ranges from 50% to 90%, with a 20% risk of amputation in the first 5 years after the surgery. The aim of this study was to develop a computational procedure that could enable surgeons to reduce negative effects by assessing patient-specific response to the available surgical strategies. Methods: The Virtual ABI assumes patient-specific finite element modeling of patients’ hemodynamics from routinely acquired medical scans of lower limbs. The key contribution of this study is a novel approach for prescribing boundary conditions, which combines noninvasive preoperative measurements and results of numerical simulations. Results: The validation performed on six follow-up cases indicated high reliability of the Virtual ABI, since the correlation with the experimentally measured values of ankle-brachial index was R² = 0.9485. Conclusion: The initial validation showed that the proposed Virtual ABI is a noninvasive procedure that could assist clinicians to find an optimal strategy for treating a particular patient by varying bypass length, choosing adequate diameter, position and shape.-
dc.rightsrestrictedAccess-
dc.sourceComputer Methods and Programs in Biomedicine-
dc.titleVirtual ABI: A computationally derived ABI index for noninvasive assessment of femoro-popliteal bypass surgery outcome-
dc.typearticle-
dc.identifier.doi10.1016/j.cmpb.2021.106242-
dc.identifier.scopus2-s2.0-85108422716-
Appears in Collections:Faculty of Engineering, Kragujevac
Faculty of Hotel Management and Tourism, Vrnjačka Banja
Institute for Information Technologies, Kragujevac

Page views(s)

323

Downloads(s)

13

Files in This Item:
File Description SizeFormat 
PaperMissing.pdf
  Restricted Access
29.86 kBAdobe PDFThumbnail
View/Open


Items in SCIDAR are protected by copyright, with all rights reserved, unless otherwise indicated.