Semiautomatic Quantitative Assessment of DIEP Flap Volume and Thickness for Breast Reconstruction using CTA Data and Implications in Postoperative Complications

dc.contributor.authorCerón Hurtado, María A.
dc.contributor.authorBarrantes, Sergi
dc.contributor.authorSánchez Egea, Antonio
dc.contributor.authorArmengol Siñol, Farners
dc.contributor.authorGonzález Rojas, Hernán
dc.contributor.authorPadullés Escarré, Anna
dc.contributor.authorJerez González, José Antonio
dc.contributor.authorLópez Ojeda, Anna
dc.contributor.authorFontdevila Font, Joan
dc.date.accessioned2025-03-25T12:40:24Z
dc.date.available2025-03-25T12:40:24Z
dc.date.issued2024-12-01
dc.date.updated2024-12-10T09:10:34Z
dc.description.abstractAccurately assessing flap volume and thickness is a crucial aspect of breast reconstruction using the deep inferior epigastric perforator (DIEP) flap, especially in challenging cases such as thin or large-breasted women or bilateral reconstruction. To address this, we present an innovative image processing tool utilizing computed tomography angiography (CTA) to measure DIEP flap volume and thickness. Our approach incorporates an elliptical equation validated on DIEP reconstruction patients. Preoperative abdominal CTA images were obtained from 70 patients who underwent DIEP flap breast reconstruction at Hospital Universitari de Bellvitge from 2017 to 2021. The image processing tool was employed for preoperative quantification, utilizing elliptical approximations, to determine the volume to be harvested and assess the central thickness of the flap. Subsequently, a non-parametric statistical retrospective analysis was conducted to examine these parameters in relation to immediate complications. The mean maximum recruitable volume (MRV) was 1017.15 +/- 325.51 cm 3, with a mean thickness of 3.65 +/- 1.14 cm. No significant correlation was found between postoperative complications and MRV or thickness values. The processing tool offers a reliable solution for accurately measuring the volume and thickness of the DIEP flap from CTA images, aiding surgeons in breast reconstruction decision-making. This innovative approach enhances surgical planning by addressing quantitative values of thickness and volume of the DIEP flap, which is critical for accurate flap assessment. (c) 2024 The Author(s). Published by Elsevier Ltd on behalf of This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
dc.format.extent10 p.
dc.format.mimetypeapplication/pdf
dc.identifier.issn2352-5878
dc.identifier.pmid39619295
dc.identifier.urihttps://hdl.handle.net/2445/219987
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1016/j.jpra.2024.10.003
dc.relation.ispartofJPRAS Open, 2024, vol. 42, p. 370-379
dc.relation.urihttps://doi.org/10.1016/j.jpra.2024.10.003
dc.rightscc-by-nc-nd (c) Cerón Hurtado, María A. et al., 2024
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceArticles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
dc.subject.classificationTomografia
dc.subject.classificationMastoplàstia
dc.subject.classificationDigital image processing
dc.subject.classificationAlgorismes computacionals
dc.subject.otherTomography
dc.subject.otherMammaplasty
dc.subject.otherDigital image processing
dc.subject.otherComputer algorithms
dc.titleSemiautomatic Quantitative Assessment of DIEP Flap Volume and Thickness for Breast Reconstruction using CTA Data and Implications in Postoperative Complications
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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