Use of Nuclear Morphometry Characteristics to Distinguish between Normal and Abnormal Cervical Glandular Histologies

This is a methodological study exploring the use of quantitative histopathology applied to the cervix to discriminate between normal and cancerous (consisting of adenocarcinoma and adenocarcinoma in situ) tissue samples. The goal is classifying tissue samples, which are populations of cells, from me...

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Bibliographic Details
Main Authors: Richard Swartz, Loyd West, Iouri Boiko, Anais Malpica, Calum MacAulay, Anita Carraro, Martial Guillaud, Dennis Cox, Michele Follen
Format: Article
Language:English
Published: Wiley 2003-01-01
Series:Analytical Cellular Pathology
Online Access:http://dx.doi.org/10.1155/2003/207481
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Summary:This is a methodological study exploring the use of quantitative histopathology applied to the cervix to discriminate between normal and cancerous (consisting of adenocarcinoma and adenocarcinoma in situ) tissue samples. The goal is classifying tissue samples, which are populations of cells, from measurements on the cells. Our method uses one particular feature, the IODs‐Index, to create a tissue level feature. The specific goal of this study is to find a threshold for the IODs‐Index that is used to create the tissue level feature. The main statistical tool is Receiver Operating Characteristic (ROC) curve analysis. When applied to the data, our method achieved promising results with good estimated sensitivity and specificity for our data set. The optimal threshold for the IODs‐Index was found to be 2.12.
ISSN:0921-8912
1878-3651