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A mathematical model for the determination of mouse excisional wound healing parameters from photographic data
Author(s) -
Cogan Nicholas G.,
Mellers Alana P.,
Patel Bhavi N.,
Powell Brett D.,
Aggarwal Manu,
Harper Kathleen M.,
Blaber Michael
Publication year - 2018
Publication title -
wound repair and regeneration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.847
H-Index - 109
eISSN - 1524-475X
pISSN - 1067-1927
DOI - 10.1111/wrr.12634
Subject(s) - wound healing , wound closure , piecewise , piecewise linear function , biomedical engineering , surgery , sampling (signal processing) , computer science , mathematics , medicine , mathematical analysis , computer vision , filter (signal processing)
Abstract We present a mathematical model to quantify parameters of mouse excisional wound healing from photographic data. The equation is a piecewise linear function in log scale that includes key parameters of initial wound radius ( R 0 ), an initial wound stasis phase ( T i ), and time to wound closure ( T c ); subsequently, these terms permit calculation of a latter active proliferative phase ( T p ), and the healing rate ( HR ) during this active phase. A daily photographic record of wound healing (utilizing 6 mm diameter splinted excisional wounds) permits the necessary sampling for robust parameter refinement. When implemented with an automated nonlinear fitting routine, the healing parameters are determined in an operator‐independent (i.e., unbiased) manner. The model was evaluated using photographic data from a splinted excisional surgical procedure involving several different mouse cohorts. Model fitting demonstrates excellent coefficients of determination ( R 2 ) in each case. The model, thus, permits quantitation of key parameters of excisional wound healing, from initial wounding through to wound closure, from photographic data.

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