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Whole slide image with image analysis of atypical bile duct brushing: Quantitative features predictive of malignancy

BACKGROUND: Whole slide images (WSIs) involve digitally capturing glass slides for microscopic computer-based viewing and these are amenable to quantitative image analysis. Bile duct (BD) brushing can show morphologic features that are categorized as indeterminate for malignancy. The study aims to e...

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Autores principales: Collins, Brian T., Weimholt, R. Cody
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584443/
https://www.ncbi.nlm.nih.gov/pubmed/26430535
http://dx.doi.org/10.4103/2153-3539.163986
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author Collins, Brian T.
Weimholt, R. Cody
author_facet Collins, Brian T.
Weimholt, R. Cody
author_sort Collins, Brian T.
collection PubMed
description BACKGROUND: Whole slide images (WSIs) involve digitally capturing glass slides for microscopic computer-based viewing and these are amenable to quantitative image analysis. Bile duct (BD) brushing can show morphologic features that are categorized as indeterminate for malignancy. The study aims to evaluate quantitative morphologic features of atypical categories of BD brushing by WSI analysis for the identification of criteria predictive of malignancy. MATERIALS AND METHODS: Over a 3-year period, BD brush specimens with indeterminate diagnostic categorization (atypical to suspicious) were subjected to WSI analysis. Ten well-visualized groups with morphologic atypical features were selected per case and had the quantitative analysis performed for group area, individual nuclear area, the number of nuclei per group, N: C ratio and nuclear size differential. RESULTS: There were 28 cases identified with 17 atypical and 11 suspicious. The average nuclear area was 63.7 µm(2) for atypical and 80.1 µm(2) for suspicious (+difference 16.4 µm(2); P = 0.002). The nuclear size differential was 69.7 µm(2) for atypical and 88.4 µm(2) for suspicious (+difference 18.8 µm(2); P = 0.009). An average nuclear area >70 µm(2) had a 3.2 risk ratio for suspicious categorization. CONCLUSION: The quantitative criteria findings as measured by image analysis on WSI showed that cases categorized as suspicious had more nuclear size pleomorphism (+18.8 µm(2)) and larger nuclei (+16.4 µm(2)) than those categorized as atypical. WSI with morphologic image analysis can demonstrate quantitative statistically significant differences between atypical and suspicious BD brushings and provide objective criteria that support the diagnosis of carcinoma.
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spelling pubmed-45844432015-10-01 Whole slide image with image analysis of atypical bile duct brushing: Quantitative features predictive of malignancy Collins, Brian T. Weimholt, R. Cody J Pathol Inform Original Article BACKGROUND: Whole slide images (WSIs) involve digitally capturing glass slides for microscopic computer-based viewing and these are amenable to quantitative image analysis. Bile duct (BD) brushing can show morphologic features that are categorized as indeterminate for malignancy. The study aims to evaluate quantitative morphologic features of atypical categories of BD brushing by WSI analysis for the identification of criteria predictive of malignancy. MATERIALS AND METHODS: Over a 3-year period, BD brush specimens with indeterminate diagnostic categorization (atypical to suspicious) were subjected to WSI analysis. Ten well-visualized groups with morphologic atypical features were selected per case and had the quantitative analysis performed for group area, individual nuclear area, the number of nuclei per group, N: C ratio and nuclear size differential. RESULTS: There were 28 cases identified with 17 atypical and 11 suspicious. The average nuclear area was 63.7 µm(2) for atypical and 80.1 µm(2) for suspicious (+difference 16.4 µm(2); P = 0.002). The nuclear size differential was 69.7 µm(2) for atypical and 88.4 µm(2) for suspicious (+difference 18.8 µm(2); P = 0.009). An average nuclear area >70 µm(2) had a 3.2 risk ratio for suspicious categorization. CONCLUSION: The quantitative criteria findings as measured by image analysis on WSI showed that cases categorized as suspicious had more nuclear size pleomorphism (+18.8 µm(2)) and larger nuclei (+16.4 µm(2)) than those categorized as atypical. WSI with morphologic image analysis can demonstrate quantitative statistically significant differences between atypical and suspicious BD brushings and provide objective criteria that support the diagnosis of carcinoma. Medknow Publications & Media Pvt Ltd 2015-08-31 /pmc/articles/PMC4584443/ /pubmed/26430535 http://dx.doi.org/10.4103/2153-3539.163986 Text en Copyright: © 2015 Journal of Pathology Informatics http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Collins, Brian T.
Weimholt, R. Cody
Whole slide image with image analysis of atypical bile duct brushing: Quantitative features predictive of malignancy
title Whole slide image with image analysis of atypical bile duct brushing: Quantitative features predictive of malignancy
title_full Whole slide image with image analysis of atypical bile duct brushing: Quantitative features predictive of malignancy
title_fullStr Whole slide image with image analysis of atypical bile duct brushing: Quantitative features predictive of malignancy
title_full_unstemmed Whole slide image with image analysis of atypical bile duct brushing: Quantitative features predictive of malignancy
title_short Whole slide image with image analysis of atypical bile duct brushing: Quantitative features predictive of malignancy
title_sort whole slide image with image analysis of atypical bile duct brushing: quantitative features predictive of malignancy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584443/
https://www.ncbi.nlm.nih.gov/pubmed/26430535
http://dx.doi.org/10.4103/2153-3539.163986
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