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. 2013 Jan-Feb;34(1):44-50.
doi: 10.1097/BCR.0b013e318269be30.

Novel application of a spatial frequency domain imaging system to determine signature spectral differences between infected and noninfected burn wounds

Affiliations

Novel application of a spatial frequency domain imaging system to determine signature spectral differences between infected and noninfected burn wounds

Thu T A Nguyen et al. J Burn Care Res. 2013 Jan-Feb.

Abstract

Complications of infection can increase burn-related morbidity and mortality. Early detection of burn wound infection could lead to more precise and effective treatment, reducing systemic complications and the need for long-term, broad-spectrum intravenous antibiotics. Quantitative cultures from biopsies are the accepted standard to determine infection. However, this methodology can take days to yield results and is invasive. This investigation focuses on the use of noninvasive imaging to determine the infection status of burn wounds in a controlled in vivo model. Full-thickness burn wounds were created on the dorsum of adult male rats (n = 6). Twenty-four hours after burn wound creation, wounds in the "Infected" group were inoculated with a vehicle containing 1 × 10(8) colony forming unit Staphylococcus aureus. "Control" group animals received vehicle alone. Subsequently, the wounds were imaged daily for a total of 10 days and the differences of skin optical properties were assessed using spatial frequency domain imaging at 16 different wavelengths from 500 to 700 nm. Regions of interest on the resulting images were selected and averaged at each time point. Statistically significant differences in average absorption and reduced scattering coefficients (μ(a) and μ(s)') at 620 and 700 nm were observed between the two groups (P < .05). Differential optical properties were most evident by day 4 and persisted throughout the time course. Differential signature changes in optical properties are evident in infected burn wounds. This novel application of spatial frequency domain imaging may prove to be a valuable adjunct to burn wound assessment. Further work will be aimed at determining dose-response relationships and prokaryotic species differences.

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Figures

Figure 1
Figure 1
Experimental setup (A) and Schematic setup (B) of SFDI and LDI system.
Figure 1
Figure 1
Experimental setup (A) and Schematic setup (B) of SFDI and LDI system.
Figure 2
Figure 2
S. aureus growth in biopsies from infected wounds at 5 time points. Data shown are means (n=3) with error bars representing standard deviations.
Figure 3
Figure 3
Typical reconstruction maps of an infected wound with three selected regions over twelve time points (before burn, immediately after burn, day 1 to day 10) for absorption coefficient (A) and scattering coefficient (B) at the wavelength of 700nm.
Figure 3
Figure 3
Typical reconstruction maps of an infected wound with three selected regions over twelve time points (before burn, immediately after burn, day 1 to day 10) for absorption coefficient (A) and scattering coefficient (B) at the wavelength of 700nm.
Figure 4
Figure 4
Comparison of mean values of μa (A) and μs’ (B) between infected group and non-infected group at wavelength 632nm. SEMs of the two groups are also included.
Figure 4
Figure 4
Comparison of mean values of μa (A) and μs’ (B) between infected group and non-infected group at wavelength 632nm. SEMs of the two groups are also included.
Figure 5
Figure 5
Fold changes in mean values of SO2 level and values of SEM of the two groups at twelve time points.
Figure 6
Figure 6
Fold changes in mean values of HB and SEMs of the two groups at twelve time points.

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