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Computational Mechanobiology Model Evaluating Healing of Postoperative Cavities Following Breast-Conserving Surgery
Breast cancer is the most commonly diagnosed cancer type worldwide. Given high survivorship, increased focus has been placed on long-term treatment outcomes and patient quality of life. While breast-conserving surgery (BCS) is the preferred treatment strategy for early-stage breast cancer, anticipat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168325/ https://www.ncbi.nlm.nih.gov/pubmed/37162899 http://dx.doi.org/10.1101/2023.04.26.538467 |
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author | Harbin, Zachary Sohutskay, David Vanderlaan, Emma Fontaine, Muira Mendenhall, Carly Fisher, Carla Voytik-Harbin, Sherry Tepolea, Adrian Buganza |
author_facet | Harbin, Zachary Sohutskay, David Vanderlaan, Emma Fontaine, Muira Mendenhall, Carly Fisher, Carla Voytik-Harbin, Sherry Tepolea, Adrian Buganza |
author_sort | Harbin, Zachary |
collection | PubMed |
description | Breast cancer is the most commonly diagnosed cancer type worldwide. Given high survivorship, increased focus has been placed on long-term treatment outcomes and patient quality of life. While breast-conserving surgery (BCS) is the preferred treatment strategy for early-stage breast cancer, anticipated healing and breast deformation (cosmetic) outcomes weigh heavily on surgeon and patient selection between BCS and more aggressive mastectomy procedures. Unfortunately, surgical outcomes following BCS are difficult to predict, owing to the complexity of the tissue repair process and significant patient-to-patient variability. To overcome this challenge, we developed a predictive computational mechanobiological model that simulates breast healing and deformation following BCS. The coupled biochemical-biomechanical model incorporates multi-scale cell and tissue mechanics, including collagen deposition and remodeling, collagen-dependent cell migration and contractility, and tissue plastic deformation. Available human clinical data evaluating cavity contraction and histopathological data from an experimental porcine lumpectomy study were used for model calibration. The computational model was successfully fit to data by optimizing biochemical and mechanobiological parameters through the Gaussian Process. The calibrated model was then applied to define key mechanobiological parameters and relationships influencing healing and breast deformation outcomes. Variability in patient characteristics including cavity-to-breast volume percentage and breast composition were further evaluated to determine effects on cavity contraction and breast cosmetic outcomes, with simulation outcomes aligning well with previously reported human studies. The proposed model has the potential to assist surgeons and their patients in developing and discussing individualized treatment plans that lead to more satisfying post-surgical outcomes and improved quality of life. |
format | Online Article Text |
id | pubmed-10168325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-101683252023-05-10 Computational Mechanobiology Model Evaluating Healing of Postoperative Cavities Following Breast-Conserving Surgery Harbin, Zachary Sohutskay, David Vanderlaan, Emma Fontaine, Muira Mendenhall, Carly Fisher, Carla Voytik-Harbin, Sherry Tepolea, Adrian Buganza bioRxiv Article Breast cancer is the most commonly diagnosed cancer type worldwide. Given high survivorship, increased focus has been placed on long-term treatment outcomes and patient quality of life. While breast-conserving surgery (BCS) is the preferred treatment strategy for early-stage breast cancer, anticipated healing and breast deformation (cosmetic) outcomes weigh heavily on surgeon and patient selection between BCS and more aggressive mastectomy procedures. Unfortunately, surgical outcomes following BCS are difficult to predict, owing to the complexity of the tissue repair process and significant patient-to-patient variability. To overcome this challenge, we developed a predictive computational mechanobiological model that simulates breast healing and deformation following BCS. The coupled biochemical-biomechanical model incorporates multi-scale cell and tissue mechanics, including collagen deposition and remodeling, collagen-dependent cell migration and contractility, and tissue plastic deformation. Available human clinical data evaluating cavity contraction and histopathological data from an experimental porcine lumpectomy study were used for model calibration. The computational model was successfully fit to data by optimizing biochemical and mechanobiological parameters through the Gaussian Process. The calibrated model was then applied to define key mechanobiological parameters and relationships influencing healing and breast deformation outcomes. Variability in patient characteristics including cavity-to-breast volume percentage and breast composition were further evaluated to determine effects on cavity contraction and breast cosmetic outcomes, with simulation outcomes aligning well with previously reported human studies. The proposed model has the potential to assist surgeons and their patients in developing and discussing individualized treatment plans that lead to more satisfying post-surgical outcomes and improved quality of life. Cold Spring Harbor Laboratory 2023-04-28 /pmc/articles/PMC10168325/ /pubmed/37162899 http://dx.doi.org/10.1101/2023.04.26.538467 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Harbin, Zachary Sohutskay, David Vanderlaan, Emma Fontaine, Muira Mendenhall, Carly Fisher, Carla Voytik-Harbin, Sherry Tepolea, Adrian Buganza Computational Mechanobiology Model Evaluating Healing of Postoperative Cavities Following Breast-Conserving Surgery |
title | Computational Mechanobiology Model Evaluating Healing of Postoperative Cavities Following Breast-Conserving Surgery |
title_full | Computational Mechanobiology Model Evaluating Healing of Postoperative Cavities Following Breast-Conserving Surgery |
title_fullStr | Computational Mechanobiology Model Evaluating Healing of Postoperative Cavities Following Breast-Conserving Surgery |
title_full_unstemmed | Computational Mechanobiology Model Evaluating Healing of Postoperative Cavities Following Breast-Conserving Surgery |
title_short | Computational Mechanobiology Model Evaluating Healing of Postoperative Cavities Following Breast-Conserving Surgery |
title_sort | computational mechanobiology model evaluating healing of postoperative cavities following breast-conserving surgery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168325/ https://www.ncbi.nlm.nih.gov/pubmed/37162899 http://dx.doi.org/10.1101/2023.04.26.538467 |
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