Literature DB >> 11834326

Comparison of one- and two-dimensional programmes for predicting the state of skin burns.

E Y K Ng1, L T Chua.   

Abstract

To understand and accurately predict tissue damage following a burn, bioheat transfer based mathematical models of the skin were developed. First, mathematical equations with multiple factors to represent the different properties of the various layers of the skin were formulated. These equations were then numerically solved using finite-difference (1-D) and finite-element (2-D) analysis. By application of a standard Arrhenius model for damage rate, the extent of burn injury was computed from the transient temperature solution. The study of the thermal efficacy of cooling treatment was done. Numerical results calculated by current 1-D and 2-D models were compared and discussed. Temperature contours were found to be consistent in both one- and two-dimensions. The current finite element code provided some additional precision to previously published models as a mesh independent grid was used to enable more accurate numerical prediction of thermal and injury patterns as they developed during the injury process. The study of thermal efficacy of postburn therapy showed that postburn water-cooling could not effectively reduce the extent of burn. However, low temperatures may inhibit the action of inflammatory mediators, and/or, low-temperatures may depress metabolism or microvascular flow thereby reducing long-term injury. Therefore numerical data obtained in the current study suggest that non-thermal factors must be considered in the calculation of the efficacy of postburn cooling therapy. It is equally important to realize that when dealing with living tissue, any numerical model can provide only an approximate to conditions in actual life.

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Year:  2002        PMID: 11834326     DOI: 10.1016/s0305-4179(01)00066-3

Source DB:  PubMed          Journal:  Burns        ISSN: 0305-4179            Impact factor:   2.744


  8 in total

1.  Temperature and burn injury prediction of human skin exposed to microwaves: a model analysis.

Authors:  Sukru Ozen; Selcuk Helhel; Suleyman Bilgin
Journal:  Radiat Environ Biophys       Date:  2011-04-30       Impact factor: 1.925

Review 2.  Mechanisms of Laser-Tissue Interaction: II. Tissue Thermal Properties.

Authors:  Mohammad Ali Ansari; Mohsen Erfanzadeh; Ezeddin Mohajerani
Journal:  J Lasers Med Sci       Date:  2013

3.  Propagation of cutaneous thermal injury: a mathematical model.

Authors:  Chuan Xue; Ching-Shan Chou; Chiu-Yen Kao; Chandan K Sen; Avner Friedman
Journal:  Wound Repair Regen       Date:  2011-12-30       Impact factor: 3.617

4.  A unique electrical thermal stimulation system comparable to moxibustion of subcutaneous tissue.

Authors:  Hyoun-Seok Myoung; Kyoung-Joung Lee
Journal:  Evid Based Complement Alternat Med       Date:  2014-07-13       Impact factor: 2.629

5.  Mathematical estimation of fluid concentration in human skin during water immersion.

Authors:  Mir Aijaz; Ibrahim M Almanjahie; Javid Gani Dar
Journal:  J Adv Res       Date:  2020-05-25       Impact factor: 10.479

6.  Changes in skin surface temperature at an acupuncture point with moxibustion.

Authors:  Li-Mei Lin; Shu-Fang Wang; Ru-Ping Lee; Bang-Gee Hsu; Nu-Man Tsai; Tai-Chu Peng
Journal:  Acupunct Med       Date:  2013-04-18       Impact factor: 2.267

7.  Changes of blood flow volume in the superior mesenteric artery and brachial artery with abdominal thermal stimulation.

Authors:  Shin Takayama; Takashi Seki; Masashi Watanabe; Shigeru Takashima; Norihiro Sugita; Satoshi Konno; Takashi Takeda; Hiroyuki Arai; Tomoyuki Yambe; Nobuo Yaegashi; Makoto Yoshizawa; Shigenao Maruyama; Shin-Ichi Nitta
Journal:  Evid Based Complement Alternat Med       Date:  2011-02-13       Impact factor: 2.629

8.  Energy Balance Approach to Study the Role of Perspiration in Heat Distribution of Human Skin.

Authors:  Aijaz Mir; Ibrahim M Almanjahie; Javid Gani Dar
Journal:  Comput Math Methods Med       Date:  2020-03-09       Impact factor: 2.238

  8 in total

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