Literature DB >> 30735808

Non-invasive in vivo quantification of human skin tension lines.

D Laiacona1, J M Cohen1, K Coulon1, Z W Lipsky1, C Maiorana1, R Boltyanskiy2, E R Dufresne3, G K German4.   

Abstract

Human skin is a composite tissue that exhibits anisotropic mechanical properties. This anisotropy arises primarily from the alignment of collagen and elastin fibers in the dermis, which causes the skin to exhibit greater tension in one direction, making it appear stiffer. A diverse number of skin tension guidelines have been developed to assist surgeons in making incisions that produce the least conspicuous scars. However, skin anisotropy is believed to vary from subject to subject, and no single guideline is universally recognized as the best to implement for surgical applications. To date, no system exists that can rapidly and non-invasively measure lines of skin tension in vivo. In this article, we evaluate the ability of a new aspiration system to measure the anisotropy of human skin. The device painlessly applies a radial stress of 17 kPa to a region of skin, and captures radially asymmetric skin deformations via a dermal camera. These deformations are used to quantify orientations of strain extrema and the direction of greatest skin stiffness. The ratio of these asymmetric strains varies between 1 and -0.75. A simple 2D transverse isotropic model captures this behavior for multiple anatomical sites. Clinical trials reveal that skin tension line orientations are comparable with existing skin tension maps and generally agree across subjects, however orientations statistically differ between individuals. As such, existing guidelines appear to provide only approximate estimates of skin tension orientation. STATEMENT OF SIGNIFICANCE: Skin tension lines (STL) in human skin arise primarily from collagen fiber alignment in the dermis. These lines are used by surgeons to guide incisions that produce the least conspicuous scars. While numerous anatomical STL maps exist, no single guideline is universally recognized as the most reliable. Moreover, manual methods of quantifying STL are imprecise. For the first time, we have developed a device capable of rapidly and non-invasively measuring STL orientations in vivo, using a single test. Our results are used to establish a simple constitutive model of mechanical skin anisotropy. Clinical trials further reveal STL orientations are comparable with existing maps, but statistically differ between individuals. Existing guidelines therefore appear to provide only approximate estimates of STL orientation.
Copyright © 2019 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anisotropy; In vivo; Non-invasive; Skin; Skin tension lines

Mesh:

Substances:

Year:  2019        PMID: 30735808     DOI: 10.1016/j.actbio.2019.02.003

Source DB:  PubMed          Journal:  Acta Biomater        ISSN: 1742-7061            Impact factor:   8.947


  4 in total

1.  Miniaturized electromechanical devices for the characterization of the biomechanics of deep tissue.

Authors:  Enming Song; Zhaoqian Xie; Wubin Bai; Haiwen Luan; Bowen Ji; Xin Ning; Yu Xia; Janice Mihyun Baek; Yujin Lee; Raudel Avila; Huang-Yu Chen; Jae-Hwan Kim; Surabhi Madhvapathy; Kuanming Yao; Dengfeng Li; Jingkun Zhou; Mengdi Han; Sang Min Won; Xinyuan Zhang; Daniel J Myers; Yongfeng Mei; Xu Guo; Shuai Xu; Jan-Kai Chang; Xinge Yu; Yonggang Huang; John A Rogers
Journal:  Nat Biomed Eng       Date:  2021-05-27       Impact factor: 25.671

2.  The Compressiometer: Toward a New Skin Tensiometer for Research and Surgical Planning.

Authors:  Karlijn M J Scheepens; Nick Marsidi; Roel E Genders; Tim Horeman-Franse
Journal:  IEEE J Transl Eng Health Med       Date:  2021-12-06       Impact factor: 3.316

3.  Propagation of uncertainty in the mechanical and biological response of growing tissues using multi-fidelity Gaussian process regression.

Authors:  Taeksang Lee; Ilias Bilionis; Adrian Buganza Tepole
Journal:  Comput Methods Appl Mech Eng       Date:  2019-12-09       Impact factor: 6.756

4.  In vivo skin anisotropy dataset from annular suction test.

Authors:  Aflah Elouneg; Audrey Bertin; Quentin Lucot; Vincent Tissot; Emmanuelle Jacquet; Jérôme Chambert; Arnaud Lejeune
Journal:  Data Brief       Date:  2022-01-15
  4 in total

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