Histopathology of Wounds

Miteva, Mariya; Romanelli, Paolo

doi:10.1007/978-1-4471-2987-5_9

Cited by 2 publications

(2 citation statements)

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“… 7 Currently, however, biochemical characteristics of healing wound beds can reliably be evaluated only by tissue biopsy followed by histology or chemical analysis. 8 In addition to being invasive, this method is tedious, laborious, 9 and subjective. 10 Raman spectroscopy, in contrast, holds the potential to provide a simple and rapid method that permits assessment of the biochemistry of a wound bed in situ and thus an alternative to traditional approaches to the biochemical evaluation of wounds that are based on biopsied tissue or wound fluids.…”

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confidence: 99%

“…Several noninvasive, optical methods have shown promise for characterization of the physical properties of wounds in vivo such as cutaneous blood flow with assessment of wound microcirculation (laser Doppler perfusion imaging), tissue structure (optical coherence tomography), and tissue temperature (thermal imaging) . Currently, however, biochemical characteristics of healing wound beds can reliably be evaluated only by tissue biopsy followed by histology or chemical analysis . In addition to being invasive, this method is tedious, laborious, and subjective .…”

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Raman Spectroscopy Enables Noninvasive Biochemical Characterization and Identification of the Stage of Healing of a Wound

et al. 2014

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Accurate and rapid assessment of the healing status of a wound in a simple and non-invasive manner would enable clinicians to diagnose wounds in real time and promptly adjust treatments to hasten the resolution of non-healing wounds. Histologic and biochemical characterization of biopsied wound tissue, which is currently the only reliable method for wound assessment, is invasive, complex to interpret and slow. Here we demonstrate the use of Raman microspectroscopy coupled with multivariate spectral analysis as a simple, non-invasive method to biochemically characterize healing wounds in mice and to accurately identify different phases of healing of wounds at different time-points. Raman spectra were collected from ‘splinted’ full thickness dermal wounds in mice at 4 time-points (0, 1, 5 and 7 days) corresponding to different phases of wound healing, as verified by histopathology. Spectra were deconvolved using multivariate factor analysis (MFA) into 3 ‘factor score spectra’(that act as spectral signatures for different stages of healing) that were successfully correlated with spectra of prominent pure wound bed constituents (i.e. collagen, lipids, fibrin, fibronectin, etc.) using non-negative least squares (NNLS) fitting. We show that the factor loadings (weights) of spectra that belonged to wounds at different time-points provide a quantitative measure of wound healing progress in terms of key parameters such as inflammation and granulation. Wounds at similar stages of healing were characterized by clusters of loading values and slowly healing wounds amongst them were successfully identified as ‘outliers’. Overall, our results demonstrate that Raman spectroscopy can be used as a non-invasive technique to provide insight into the status of normally-healing and slow-to-heal wounds, and that it may find use as a complementary tool for real-time, in situ biochemical characterization in wound healing studies and clinical diagnosis.

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confidence: 99%