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A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells

Despite the effectiveness of Pap-smear test in reducing the mortality rate due to cervical cancer, the criteria of the reporting standard of the Pap-smear test are mostly qualitative in nature. This study addresses the issue on how to define the criteria in a more quantitative and definite term. A n...

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Detalles Bibliográficos
Autores principales: Tang, Jing Rui, Mat Isa, Nor Ashidi, Ch’ng, Ewe Seng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4641582/
https://www.ncbi.nlm.nih.gov/pubmed/26560331
http://dx.doi.org/10.1371/journal.pone.0142830
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author Tang, Jing Rui
Mat Isa, Nor Ashidi
Ch’ng, Ewe Seng
author_facet Tang, Jing Rui
Mat Isa, Nor Ashidi
Ch’ng, Ewe Seng
author_sort Tang, Jing Rui
collection PubMed
description Despite the effectiveness of Pap-smear test in reducing the mortality rate due to cervical cancer, the criteria of the reporting standard of the Pap-smear test are mostly qualitative in nature. This study addresses the issue on how to define the criteria in a more quantitative and definite term. A negative Pap-smear test result, i.e. negative for intraepithelial lesion or malignancy (NILM), is qualitatively defined to have evenly distributed, finely granular chromatin in the nuclei of cervical squamous cells. To quantify this chromatin pattern, this study employed Fuzzy C-Means clustering as the segmentation technique, enabling different degrees of chromatin segmentation to be performed on sample images of non-neoplastic squamous cells. From the simulation results, a model representing the chromatin distribution of non-neoplastic cervical squamous cell is constructed with the following quantitative characteristics: at the best representative sensitivity level 4 based on statistical analysis and human experts’ feedbacks, a nucleus of non-neoplastic squamous cell has an average of 67 chromatins with a total area of 10.827μm (2); the average distance between the nearest chromatin pair is 0.508μm and the average eccentricity of the chromatin is 0.47.
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spelling pubmed-46415822015-11-18 A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells Tang, Jing Rui Mat Isa, Nor Ashidi Ch’ng, Ewe Seng PLoS One Research Article Despite the effectiveness of Pap-smear test in reducing the mortality rate due to cervical cancer, the criteria of the reporting standard of the Pap-smear test are mostly qualitative in nature. This study addresses the issue on how to define the criteria in a more quantitative and definite term. A negative Pap-smear test result, i.e. negative for intraepithelial lesion or malignancy (NILM), is qualitatively defined to have evenly distributed, finely granular chromatin in the nuclei of cervical squamous cells. To quantify this chromatin pattern, this study employed Fuzzy C-Means clustering as the segmentation technique, enabling different degrees of chromatin segmentation to be performed on sample images of non-neoplastic squamous cells. From the simulation results, a model representing the chromatin distribution of non-neoplastic cervical squamous cell is constructed with the following quantitative characteristics: at the best representative sensitivity level 4 based on statistical analysis and human experts’ feedbacks, a nucleus of non-neoplastic squamous cell has an average of 67 chromatins with a total area of 10.827μm (2); the average distance between the nearest chromatin pair is 0.508μm and the average eccentricity of the chromatin is 0.47. Public Library of Science 2015-11-11 /pmc/articles/PMC4641582/ /pubmed/26560331 http://dx.doi.org/10.1371/journal.pone.0142830 Text en © 2015 Tang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Tang, Jing Rui
Mat Isa, Nor Ashidi
Ch’ng, Ewe Seng
A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells
title A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells
title_full A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells
title_fullStr A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells
title_full_unstemmed A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells
title_short A Fuzzy-C-Means-Clustering Approach: Quantifying Chromatin Pattern of Non-Neoplastic Cervical Squamous Cells
title_sort fuzzy-c-means-clustering approach: quantifying chromatin pattern of non-neoplastic cervical squamous cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4641582/
https://www.ncbi.nlm.nih.gov/pubmed/26560331
http://dx.doi.org/10.1371/journal.pone.0142830
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