2023
DOI: 10.1007/s11538-023-01236-2
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Models for Implant-Induced Capsular Contracture Post Breast Cancer Surgery

Cheryl Dyck,
Kathryn V. Isaac,
Leah Edelstein-Keshet

Abstract: Capsular contracture is a painful deformation of scar-tissue that may form around an implant in post-breast cancer reconstruction or cosmetic surgery. Inflammation due to surgical trauma or contamination in the tissue around the implant could account for recruitment of immune cells, and transdifferentiation of resident fibroblasts into cells that deposit abnormally thick collagen. Here we examine this hypothesis using a mathematical model for interacting macrophages, fibroblasts, myofibroblasts, and collagen. … Show more

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Cited by 1 publication
(3 citation statements)
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“…A model can probe specific hypotheses for causal factors. 61 For example, one hypothesis posits that increased inflammation elevates the risk of CC. However, is inflammation enough, on its own, to do so, or are there important feedback loops that could be targeted by drugs to ameliorate the outcome?…”
Section: Discussionmentioning
confidence: 99%
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“…A model can probe specific hypotheses for causal factors. 61 For example, one hypothesis posits that increased inflammation elevates the risk of CC. However, is inflammation enough, on its own, to do so, or are there important feedback loops that could be targeted by drugs to ameliorate the outcome?…”
Section: Discussionmentioning
confidence: 99%
“…A model can unravel the distinct roles of intrinsic (genetic and physiological) parameters, versus stimuli or insults that put an otherwise healthy patient on a trajectory towards CC. 61 Although mathematical models can help our understanding of CC etiopathogenesis, further quantitative and qualitative observations on which to base model hypotheses are needed. 14 While no single model is "the truth," exploring a suite of hypotheses using model-based arguments is significantly simpler, faster, and cheaper than costly experimental studies or clinical trials.…”
Section: Discussionmentioning
confidence: 99%
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