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Quantitative Histopathological Analysis of Cervical Intra-Epithelial Neoplasia Sections: Methodological Issues

Objectives: As part a Program Project to evaluate emerging optical technologies for cervical neoplasia, our group is performing quantitative histopathological analysis of biopsies from 1800 patients. Several methodological issues have arisen with respect to this analysis: (1) Finding the most effici...

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Autores principales: Guillaud, Martial, Cox, Dennis, Malpica, Anais, Staerkel, Gregg, Matisic, Jasenka, Van Niekirk, Dirk, Adler‐Storthz, Karen, Poulin, Neal, Follen, Michele, MacAulay, Calum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611117/
https://www.ncbi.nlm.nih.gov/pubmed/15371655
http://dx.doi.org/10.1155/2004/238769
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author Guillaud, Martial
Cox, Dennis
Malpica, Anais
Staerkel, Gregg
Matisic, Jasenka
Van Niekirk, Dirk
Adler‐Storthz, Karen
Poulin, Neal
Follen, Michele
MacAulay, Calum
author_facet Guillaud, Martial
Cox, Dennis
Malpica, Anais
Staerkel, Gregg
Matisic, Jasenka
Van Niekirk, Dirk
Adler‐Storthz, Karen
Poulin, Neal
Follen, Michele
MacAulay, Calum
author_sort Guillaud, Martial
collection PubMed
description Objectives: As part a Program Project to evaluate emerging optical technologies for cervical neoplasia, our group is performing quantitative histopathological analysis of biopsies from 1800 patients. Several methodological issues have arisen with respect to this analysis: (1) Finding the most efficient way to compensate for staining intensity variation with out losing diagnostic information; (2) Assessing the inter‐ and intra‐observer variability of the semi‐interactive data collection; and (3) the use of non‐overlapping cells from the intermediate layer only. Methods: Non‐overlapping quantitatively stained nuclei were selected from 280 samples with histopathological characteristics of normal (199), koilocytosis (37), CIN 1 (18), CIN 2 (10) and CIN 3 (16). Linear discriminant analysis was used to assess the diagnostic information in three different feature sets to evaluate and compare staining intensity normalization methods. Selected feature values and summary scores were used to evaluate intra‐ and inter‐observer variability. Results: The features normalized by the internal subset of the imaged cells had the same discriminatory power as those normalized by the control cells and by both normalization methods seem to have additional discriminatory power over the set of features which do not require normalization. The use of the internal subset decreased the image acquisition time by ∼50% at each center, respectively. The intra‐ and inter‐observer variability was of a similar size. Good performance was obtained by measuring the intermediate layer only. Conclusion: The use of intensity normalization from a subset of the imaged non‐overlapping intermediate layer cells works as well as or better than any of the other methods tested and provides a significant timesaving. Our intra‐ and inter‐observer variability do not seem to affect the diagnostic power of the data. Although this must be tested in a larger data set, the use of intermediate layer cells only may be acceptable when using quantitative histopathology.
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spelling pubmed-46111172016-01-12 Quantitative Histopathological Analysis of Cervical Intra-Epithelial Neoplasia Sections: Methodological Issues Guillaud, Martial Cox, Dennis Malpica, Anais Staerkel, Gregg Matisic, Jasenka Van Niekirk, Dirk Adler‐Storthz, Karen Poulin, Neal Follen, Michele MacAulay, Calum Cell Oncol Other Objectives: As part a Program Project to evaluate emerging optical technologies for cervical neoplasia, our group is performing quantitative histopathological analysis of biopsies from 1800 patients. Several methodological issues have arisen with respect to this analysis: (1) Finding the most efficient way to compensate for staining intensity variation with out losing diagnostic information; (2) Assessing the inter‐ and intra‐observer variability of the semi‐interactive data collection; and (3) the use of non‐overlapping cells from the intermediate layer only. Methods: Non‐overlapping quantitatively stained nuclei were selected from 280 samples with histopathological characteristics of normal (199), koilocytosis (37), CIN 1 (18), CIN 2 (10) and CIN 3 (16). Linear discriminant analysis was used to assess the diagnostic information in three different feature sets to evaluate and compare staining intensity normalization methods. Selected feature values and summary scores were used to evaluate intra‐ and inter‐observer variability. Results: The features normalized by the internal subset of the imaged cells had the same discriminatory power as those normalized by the control cells and by both normalization methods seem to have additional discriminatory power over the set of features which do not require normalization. The use of the internal subset decreased the image acquisition time by ∼50% at each center, respectively. The intra‐ and inter‐observer variability was of a similar size. Good performance was obtained by measuring the intermediate layer only. Conclusion: The use of intensity normalization from a subset of the imaged non‐overlapping intermediate layer cells works as well as or better than any of the other methods tested and provides a significant timesaving. Our intra‐ and inter‐observer variability do not seem to affect the diagnostic power of the data. Although this must be tested in a larger data set, the use of intermediate layer cells only may be acceptable when using quantitative histopathology. IOS Press 2004 2004-07-14 /pmc/articles/PMC4611117/ /pubmed/15371655 http://dx.doi.org/10.1155/2004/238769 Text en Copyright © 2004 Hindawi Publishing Corporation and the authors.
spellingShingle Other
Guillaud, Martial
Cox, Dennis
Malpica, Anais
Staerkel, Gregg
Matisic, Jasenka
Van Niekirk, Dirk
Adler‐Storthz, Karen
Poulin, Neal
Follen, Michele
MacAulay, Calum
Quantitative Histopathological Analysis of Cervical Intra-Epithelial Neoplasia Sections: Methodological Issues
title Quantitative Histopathological Analysis of Cervical Intra-Epithelial Neoplasia Sections: Methodological Issues
title_full Quantitative Histopathological Analysis of Cervical Intra-Epithelial Neoplasia Sections: Methodological Issues
title_fullStr Quantitative Histopathological Analysis of Cervical Intra-Epithelial Neoplasia Sections: Methodological Issues
title_full_unstemmed Quantitative Histopathological Analysis of Cervical Intra-Epithelial Neoplasia Sections: Methodological Issues
title_short Quantitative Histopathological Analysis of Cervical Intra-Epithelial Neoplasia Sections: Methodological Issues
title_sort quantitative histopathological analysis of cervical intra-epithelial neoplasia sections: methodological issues
topic Other
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611117/
https://www.ncbi.nlm.nih.gov/pubmed/15371655
http://dx.doi.org/10.1155/2004/238769
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