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Dermal type I collagen assessment by digital image analysis.

Brianezi G, Grandi F, Bagatin E, Enokihara MM, Miot HA - An Bras Dermatol (2015)

Bottom Line: However, visual gradation (0 to 4+) has low precision and high subjectivity levels.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.

View Article: PubMed Central - PubMed

Affiliation: Universidade Estadual Paulista, Botucatu, SP, Brazil.

ABSTRACT
AbstractType 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.

No MeSH data available.


Related in: MedlinePlus

Original Image, channel "blue" and color deconvolution products and the respectiveresults of the automatic segmentation (ISOdata)
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Related In: Results  -  Collection

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f02: Original Image, channel "blue" and color deconvolution products and the respectiveresults of the automatic segmentation (ISOdata)

Mentions: The estimate densities of collagen type I by color decomposition technique (channel blue-algorithm I) and color deconvolution (algorithm II) are shown in figure 3. Correlation coefficients (Spearman's rho) between the imageanalysis techniques and the median of all four estimates calculated by the evaluators areshown in table 3.


Dermal type I collagen assessment by digital image analysis.

Brianezi G, Grandi F, Bagatin E, Enokihara MM, Miot HA - An Bras Dermatol (2015)

Original Image, channel "blue" and color deconvolution products and the respectiveresults of the automatic segmentation (ISOdata)
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4631237&req=5

f02: Original Image, channel "blue" and color deconvolution products and the respectiveresults of the automatic segmentation (ISOdata)
Mentions: The estimate densities of collagen type I by color decomposition technique (channel blue-algorithm I) and color deconvolution (algorithm II) are shown in figure 3. Correlation coefficients (Spearman's rho) between the imageanalysis techniques and the median of all four estimates calculated by the evaluators areshown in table 3.

Bottom Line: However, visual gradation (0 to 4+) has low precision and high subjectivity levels.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.

View Article: PubMed Central - PubMed

Affiliation: Universidade Estadual Paulista, Botucatu, SP, Brazil.

ABSTRACT
AbstractType 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.

No MeSH data available.


Related in: MedlinePlus