Disease quantification in dermatology: in vivo near-infrared spectroscopy measures correlate strongly with the clinical assessment of psoriasis severity

Tanja Maria Greve; Søren Kamp; Gregor B. E. Jemec

doi:10.1117/1.JBO.18.3.037006

18 March 2013 Disease quantification in dermatology: in vivo near-infrared spectroscopy measures correlate strongly with the clinical assessment of psoriasis severity

Tanja Maria Greve, Søren Kamp, Gregor B. E. Jemec

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Journal of Biomedical Optics, Vol. 18, Issue 3, 037006 (March 2013). https://doi.org/10.1117/1.JBO.18.3.037006

Abstract

Accurate documentation of disease severity is a prerequisite for clinical research and the practice of evidence-based medicine. The quantification of skin diseases such as psoriasis currently relies heavily on clinical scores. Although these clinical scoring methods are well established and very useful in quantifying disease severity, they require an extensive clinical experience and carry a risk of subjectivity. We explore the opportunity to use in vivo near-infrared (NIR) spectra as an objective and noninvasive method for local disease severity assessment in 31 psoriasis patients in whom selected plaques were scored clinically. A partial least squares (PLS) regression model was used to analyze and predict the severity scores on the NIR spectra of psoriatic and uninvolved skin. The correlation between predicted and clinically assigned scores was R=0.94 (RMSE=0.96 ), suggesting that in vivo NIR provides accurate clinical quantification of psoriatic plaques. Hence, NIR may be a practical solution to clinical severity assessment of psoriasis, providing a continuous, linear, numerical value of severity.

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Tanja Maria Greve, Søren Kamp, and Gregor B. E. Jemec "Disease quantification in dermatology: in vivo near-infrared spectroscopy measures correlate strongly with the clinical assessment of psoriasis severity," Journal of Biomedical Optics 18(3), 037006 (18 March 2013). https://doi.org/10.1117/1.JBO.18.3.037006

Published: 18 March 2013

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Cited by 6 scholarly publications and 1 patent.

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KEYWORDS

Skin

Near infrared

In vivo imaging

Near infrared spectroscopy

Dermatology

Spectroscopy

Solids

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