Computational modeling of skin: Using stress profiles as predictor for tissue necrosis in reconstructive surgery
Identifieur interne : 001349 ( Main/Curation ); précédent : 001348; suivant : 001350Computational modeling of skin: Using stress profiles as predictor for tissue necrosis in reconstructive surgery
Auteurs : Adrián Buganza Tepole [États-Unis] ; Arun K. Gosain [États-Unis] ; Ellen Kuhl [États-Unis]Source :
- Computers & structures [ 0045-7949 ] ; 2014.
Abstract
Local skin flaps have revolutionized reconstructive surgery. Mechanical loading is critical for flap survival: Excessive tissue tension reduces blood supply and induces tissue necrosis. However, skin flaps have never been analyzed mechanically. Here we explore the stress profiles of two common flap designs, direct advancement flaps and double back-cut flaps. Our simulations predict a direct correlation between regions of maximum stress and tissue necrosis. This suggests that elevated stress could serve as predictor for flap failure. Our model is a promising step towards computer-guided reconstructive surgery with the goal to minimize stress, accelerate healing, minimize scarring, and optimize tissue use.
Url:
DOI: 10.1016/j.compstruc.2014.07.004
PubMed: 25225454
PubMed Central: 4162094
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PMC:4162094Le document en format XML
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<front><div type="abstract" xml:lang="en"><p id="P1">Local skin flaps have revolutionized reconstructive surgery. Mechanical loading is critical for flap survival: Excessive tissue tension reduces blood supply and induces tissue necrosis. However, skin flaps have never been analyzed mechanically. Here we explore the stress profiles of two common flap designs, direct advancement flaps and double back-cut flaps. Our simulations predict a direct correlation between regions of maximum stress and tissue necrosis. This suggests that elevated stress could serve as predictor for flap failure. Our model is a promising step towards computer-guided reconstructive surgery with the goal to minimize stress, accelerate healing, minimize scarring, and optimize tissue use.</p>
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