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Dermal type I collagen assessment by digital image analysis
Type I collagen is the main dermal component, and its evaluation is relevant to quantitative studies in dermatopathology. However, visual gradation (0 to 4+) has low precision and high subjectivity levels. This study aimed to develop and validate a digital morphometric analysis technique to estimate...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Dermatologia
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4631237/ https://www.ncbi.nlm.nih.gov/pubmed/26560217 http://dx.doi.org/10.1590/abd1806-4841.20153331 |
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author | Brianezi, Gabrielli Grandi, Fabrizio Bagatin, Ediléia Enokihara, Mílvia Maria S. S. Miot, Hélio Amante |
author_facet | Brianezi, Gabrielli Grandi, Fabrizio Bagatin, Ediléia Enokihara, Mílvia Maria S. S. Miot, Hélio Amante |
author_sort | Brianezi, Gabrielli |
collection | PubMed |
description | Type I collagen is the main dermal component, and its evaluation is relevant to quantitative studies in dermatopathology. However, visual gradation (0 to 4+) has low precision and high subjectivity levels. This study aimed to develop and validate a digital morphometric analysis technique to estimate type I collagen levels in the papillary dermis. Four evaluators visually quantified (0 to 4+) the density of type I collagen in 63 images of forearm skin biopsies marked by immunohistochemistry and two evaluators analyzed the same images using digital morphometric techniques (RGB split colors (I) and color deconvolution (II)). Automated type I collagen density estimation in the papillary dermis (two techniques) were correlated with visual evaluations (Spearman's rho coefficients of 0.48 and 0.62 (p<0.01)). With regard to the inter-observer repeatability, the four evaluators who used visual classification had an intraclass correlation coefficient (for absolute agreement) of 0.53, while the other two evaluators who used digital analysis (algorithm II) had an intraclass correlation coefficient of 0.97. |
format | Online Article Text |
id | pubmed-4631237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Sociedade Brasileira de Dermatologia |
record_format | MEDLINE/PubMed |
spelling | pubmed-46312372015-11-04 Dermal type I collagen assessment by digital image analysis Brianezi, Gabrielli Grandi, Fabrizio Bagatin, Ediléia Enokihara, Mílvia Maria S. S. Miot, Hélio Amante An Bras Dermatol Dermatopathology Type I collagen is the main dermal component, and its evaluation is relevant to quantitative studies in dermatopathology. However, visual gradation (0 to 4+) has low precision and high subjectivity levels. This study aimed to develop and validate a digital morphometric analysis technique to estimate type I collagen levels in the papillary dermis. Four evaluators visually quantified (0 to 4+) the density of type I collagen in 63 images of forearm skin biopsies marked by immunohistochemistry and two evaluators analyzed the same images using digital morphometric techniques (RGB split colors (I) and color deconvolution (II)). Automated type I collagen density estimation in the papillary dermis (two techniques) were correlated with visual evaluations (Spearman's rho coefficients of 0.48 and 0.62 (p<0.01)). With regard to the inter-observer repeatability, the four evaluators who used visual classification had an intraclass correlation coefficient (for absolute agreement) of 0.53, while the other two evaluators who used digital analysis (algorithm II) had an intraclass correlation coefficient of 0.97. Sociedade Brasileira de Dermatologia 2015 /pmc/articles/PMC4631237/ /pubmed/26560217 http://dx.doi.org/10.1590/abd1806-4841.20153331 Text en © 2015 by Anais Brasileiros de Dermatologia http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Dermatopathology Brianezi, Gabrielli Grandi, Fabrizio Bagatin, Ediléia Enokihara, Mílvia Maria S. S. Miot, Hélio Amante Dermal type I collagen assessment by digital image analysis |
title | Dermal type I collagen assessment by digital image analysis |
title_full | Dermal type I collagen assessment by digital image analysis |
title_fullStr | Dermal type I collagen assessment by digital image analysis |
title_full_unstemmed | Dermal type I collagen assessment by digital image analysis |
title_short | Dermal type I collagen assessment by digital image analysis |
title_sort | dermal type i collagen assessment by digital image analysis |
topic | Dermatopathology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4631237/ https://www.ncbi.nlm.nih.gov/pubmed/26560217 http://dx.doi.org/10.1590/abd1806-4841.20153331 |
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