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Updated: Jan 9, 2026

A Pre-clinical Rat Model for the Study of Ischemia-reperfusion Injury in Reconstructive Microsurgery
Published on: November 8, 2019
Noncontact diffuse optical imaging of blood flow and oxygenation distributions in reconstructive rat skin flaps
Samaneh Rabienia Haratbar1, Fatemeh Hamedi1, Mehrana Mohtasebi2
1F. Joseph Halcomb III, M. D. Department of Biomedical Engineering, University of Kentucky, USA.
Abstract:
Perioperative identification of ischemic-hypoxic tissue is essential for reducing the risk of mastectomy skin flap necrosis (MSFN), a major complication following mastectomy. Implant-based breast reconstruction is jeopardized in the presence of MSFN. However, existing technologies are limited by depth insensitivity, dye-related risks, the need for contact sensors, and an inability to simultaneously assess both blood flow and oxygenation. A multi-wavelength speckle contrast diffuse correlation tomography (MW-scDCT) system was developed for noncontact, dye-free, and depth-sensitive imaging of tissue hemodynamics in a rat model incorporating four distinct flap scenarios: sham (SH), implant (IM), half necrosis (HN), and full necrosis (FN), representing varying degrees of tissue viability. MW-scDCT measured longitudinal changes in relative blood flow index ( rBFI ) and oxy- and deoxy-hemoglobin concentrations ( and ) over seven days. Repeated measures analysis of variance and quadratic discriminant analysis were employed for statistical analysis. MW-scDCT enabled longitudinal imaging of tissue blood flow and oxygenation distributions, revealing significant differences across flap types and over time. In terms of discriminative power, integrating rBFI , , and into a multivariable classification model substantially improved accuracy, achieving 80-95% compared to 40-70% using individual parameters. Binary classification of necrotic (FN + HN) versus non-necrotic (SH + IM) flaps showed up to 50% improvement in accuracy gains. MW-scDCT effectively distinguished necrotic from viable flaps and provided critical early postoperative insights into MSFN. These findings support its potential clinical utility as a perioperative monitoring tool to guide decision-making, reduce flap failure risk, and improve reconstructive outcomes.

