Dermatology 2013

Notes: Goktay, Fatih

Ceran, Nurgul

Aydingoz, Ikbal Esen

Mansur, Ayse Tulin

eng

England

2013/02/26 06:00

Int J Dermatol. 2013 Nov;52(11):1331-7. doi: 10.1111/j.1365-4632.2012.05579.x. Epub 2013 Feb 22.

URL: http://www.ncbi.nlm.nih.gov/pubmed/23432609

Author Address: Departments of DermatologyInfectious Diseases, Haydarpasa Numune Training and Research Hospital, Istanbul, TurkeyDepartment of Dermatology, School of Medicine, Acibadem University, Istanbul, TurkeyDepartment of Dermatology, Ahu Hetman Hospital, Marmaris, Mugla, Turkey.

 

 

Reference Type:  Journal Article

Record Number: 4488Author: Greve, T. M., Kamp, S. and Jemec, G. B.

Year: 2013

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

Journal: J Biomed Opt

Volume: 18

Issue: 3

Pages: 037006

Date: Mar

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

Alternate Journal: Journal of biomedical optics

ISSN: 1560-2281 (Electronic)

1083-3668 (Linking)

DOI: 10.1117/1.JBO.18.3.037006

Accession Number: 23508704

Keywords: Adult

Aged

Dermatology/*methods

Female

Humans

Least-Squares Analysis

Male

Middle Aged

Psoriasis/*pathology

Skin/chemistry/pathology

Spectroscopy, Near-Infrared/*methods

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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