Digital image analysis for the evaluation of the inflammatory infiltrate in psoriasis |
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Authors: | Email author" target="_blank">Amber?Y?GoedkoopEmail author Menno?A?de?Rie Marcel?B?M?Teunissen Daisy?I?Picavet Pascal?O?van?der?Hall Jan?D?Bos Paul?P?Tak Maarten?C?Kraan |
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Institution: | (1) Department of Dermatology, Academic Medical Center, University of Amsterdam, P.O. Box 22660, 1100 DD Amsterdam, The Netherlands;(2) Division of Clinical Immunology and Rheumatology, Department of Internal Medicine, Academic Medical Center, University of Amsterdam, P.O. Box 22660, 1100 DD Amsterdam, The Netherlands |
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Abstract: | Traditionally the evaluation of the cellular infiltrate and protein expression in skin tissue sections is done by manual quantification.
However, for reliable evaluation of histology in the development of new anti-psoriatic treatments there is a need for a more
time-efficient and reproducible method. To test the use of digital image analysis (DIA) in this situation we compared the
assessment of immunohistochemically stained skin sections with the more traditional manual quantification (MQ) and semi-quantitative
analysis (SQA). The number of CD3+ T cells and the expression of E-selectin were evaluated in stained paired skin biopsies from 11 patients with chronic plaque
psoriasis before and after initiation of anti-psoriasis therapy. We observed significant correlations between MQ and DIA for
the number of T cells (epidermis: r=0.88, P≤0.01, dermis r=0.87, P≤0.01). Both DIA and MQ were equally effective in detecting reductions of T-cell numbers in active-treated patients. MQ took
20 h, compared to 6 h for DIA. We also observed significant correlations between SQA and DIA for the expression of E-selectin
(r=0.88, P≤0.01), although DIA was more sensitive than SQA to detect (early) changes. SQA took 10 h, compared to 4 h for DIA. In conclusion,
the quantification of the inflammatory infiltrate in psoriatic lesional skin by DIA generated similar results as MQ and SQA
in a reliable, reproducible and higher time efficient fashion. |
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Keywords: | Computer-assisted analysis Psoriasis Inflammation Skin Immunohistochemistry |
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