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Exploring uncertainty in hyper-viscoelastic properties of scalp skin through patient-specific finite element models for reconstructive surgery.
Song, Gyohyeon; Gosain, Arun K; Buganza Tepole, Adrian; Rhee, Kyehan; Lee, Taeksang.
Affiliation
  • Song G; Department of Intelligent Robotics, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
  • Gosain AK; Surgery (Pediatric Surgery), Plastic Surgery, Lurie Children's Hospital of Chicago, Northwestern Feinberg School of Medicine, Chicago 60611, IL, United States.
  • Buganza Tepole A; Department of Mechanical Engineering, Purdue University, West Lafayette 47907, IN, United States.
  • Rhee K; Department of Mechanical Engineering, Myongji University, Yongin, 17058, Republic of Korea.
  • Lee T; Department of Mechanical Engineering, Myongji University, Yongin, 17058, Republic of Korea.
Article in En | MEDLINE | ID: mdl-38339988
ABSTRACT
Understanding skin responses to external forces is crucial for post-cutaneous flap wound healing. However, the in vivo viscoelastic behavior of scalp skin remains poorly understood. Personalized virtual surgery simulations offer a way to study tissue responses in relevant 3D geometries. Yet, anticipating wound risk remains challenging due to limited data on skin viscoelasticity, which hinders our ability to determine the interplay between wound size and stress levels. To bridge this gap, we reexamine three clinical cases involving scalp reconstruction using patient-specific geometric models and employ uncertainty quantification through a Monte Carlo simulation approach to study the effect of skin viscoelasticity on the final stress levels from reconstructive surgery. Utilizing the generalized Maxwell model via the Prony series, we can parameterize and efficiently sample a realistic range of viscoelastic response and thus shed light on the influence of viscoelastic material uncertainty in surgical scenarios. Our analysis identifies regions at risk of wound complications based on reported threshold stress values from the literature and highlights the significance of focusing on long-term responses rather than short-term ones.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Comput Methods Biomech Biomed Engin Journal subject: ENGENHARIA BIOMEDICA / FISIOLOGIA Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Comput Methods Biomech Biomed Engin Journal subject: ENGENHARIA BIOMEDICA / FISIOLOGIA Year: 2024 Document type: Article Country of publication: