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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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2003-01-01
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| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.1155/2003/207481 |
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| author | Richard Swartz Loyd West Iouri Boiko Anais Malpica Calum MacAulay Anita Carraro Martial Guillaud Dennis Cox Michele Follen |
| author_facet | Richard Swartz Loyd West Iouri Boiko Anais Malpica Calum MacAulay Anita Carraro Martial Guillaud Dennis Cox Michele Follen |
| author_sort | Richard Swartz |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-abcdb7c9f7584543acbec84fed2ec7d6 |
| institution | OA Journals |
| issn | 0921-8912 1878-3651 |
| language | English |
| publishDate | 2003-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-abcdb7c9f7584543acbec84fed2ec7d62025-08-20T02:20:13ZengWileyAnalytical Cellular Pathology0921-89121878-36512003-01-0125419320010.1155/2003/207481Use of Nuclear Morphometry Characteristics to Distinguish between Normal and Abnormal Cervical Glandular HistologiesRichard Swartz0Loyd West1Iouri Boiko2Anais Malpica3Calum MacAulay4Anita Carraro5Martial Guillaud6Dennis Cox7Michele Follen8Department of Statistics, Rice University, P.O. Box 1892, Houston, TX 77005, USADepartment of Obstetrics and Gynecology, Naval Medical Center Portsmouth, 27 Efingham street, Portsmouth, VA 23708, USABiomedical Engineering Center, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd. Box 193, Houston, TX 77030, USADepartment of Pathology, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd. Box 85, Houston, TX 77030, USADepartment of Cancer Imaging, British Columbia Cancer Research Center, 601 West 10th Avenue, Vancouver, BC, V5Z 1L3, CanadaDepartment of Cancer Imaging, British Columbia Cancer Research Center, 601 West 10th Avenue, Vancouver, BC, V5Z 1L3, CanadaDepartment of Cancer Imaging, British Columbia Cancer Research Center, 601 West 10th Avenue, Vancouver, BC, V5Z 1L3, CanadaDepartment of Statistics, Rice University, P.O. Box 1892, Houston, TX 77005, USABiomedical Engineering Center, University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd. Box 193, Houston, TX 77030, USAThis 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.http://dx.doi.org/10.1155/2003/207481 |
| spellingShingle | Richard Swartz Loyd West Iouri Boiko Anais Malpica Calum MacAulay Anita Carraro Martial Guillaud Dennis Cox Michele Follen Use of Nuclear Morphometry Characteristics to Distinguish between Normal and Abnormal Cervical Glandular Histologies Analytical Cellular Pathology |
| title | Use of Nuclear Morphometry Characteristics to Distinguish between Normal and Abnormal Cervical Glandular Histologies |
| title_full | Use of Nuclear Morphometry Characteristics to Distinguish between Normal and Abnormal Cervical Glandular Histologies |
| title_fullStr | Use of Nuclear Morphometry Characteristics to Distinguish between Normal and Abnormal Cervical Glandular Histologies |
| title_full_unstemmed | Use of Nuclear Morphometry Characteristics to Distinguish between Normal and Abnormal Cervical Glandular Histologies |
| title_short | Use of Nuclear Morphometry Characteristics to Distinguish between Normal and Abnormal Cervical Glandular Histologies |
| title_sort | use of nuclear morphometry characteristics to distinguish between normal and abnormal cervical glandular histologies |
| url | http://dx.doi.org/10.1155/2003/207481 |
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