Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Harbin, Zachary, Sohutskay, David, Vanderlaan, Emma, Fontaine, Muira, Mendenhall, Carly, Fisher, Carla, Voytik-Harbin, Sherry, Tepolea, Adrian Buganza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
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
_version_ 1785038835136069632
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
work_keys_str_mv AT harbinzachary computationalmechanobiologymodelevaluatinghealingofpostoperativecavitiesfollowingbreastconservingsurgery
AT sohutskaydavid computationalmechanobiologymodelevaluatinghealingofpostoperativecavitiesfollowingbreastconservingsurgery
AT vanderlaanemma computationalmechanobiologymodelevaluatinghealingofpostoperativecavitiesfollowingbreastconservingsurgery
AT fontainemuira computationalmechanobiologymodelevaluatinghealingofpostoperativecavitiesfollowingbreastconservingsurgery
AT mendenhallcarly computationalmechanobiologymodelevaluatinghealingofpostoperativecavitiesfollowingbreastconservingsurgery
AT fishercarla computationalmechanobiologymodelevaluatinghealingofpostoperativecavitiesfollowingbreastconservingsurgery
AT voytikharbinsherry computationalmechanobiologymodelevaluatinghealingofpostoperativecavitiesfollowingbreastconservingsurgery
AT tepoleaadrianbuganza computationalmechanobiologymodelevaluatinghealingofpostoperativecavitiesfollowingbreastconservingsurgery