Risk Biomarker Assessment for Breast Cancer Progression: Replication Precision of Nuclear Morphometry
Nuclear morphometry is a method for quantitative measurement of histopathologic changes in the appearance of stained cell nuclei. Numerous studies have indicated that these assessments may provide clinically relevant information related to the degree of progression and malignant potential of breast...
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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/10.1155/2003/262918 |
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| author | N. Poulin A. Frost A. Carraro E. Mommers M. Guillaud P.J. van Diest W. Grizzle S. Beenken |
| author_facet | N. Poulin A. Frost A. Carraro E. Mommers M. Guillaud P.J. van Diest W. Grizzle S. Beenken |
| author_sort | N. Poulin |
| collection | DOAJ |
| description | Nuclear morphometry is a method for quantitative measurement of histopathologic changes in the appearance of stained cell nuclei. Numerous studies have indicated that these assessments may provide clinically relevant information related to the degree of progression and malignant potential of breast neoplasia. Nuclear features are derived from computerized analysis of digitized microscope images, and a quantitative Feulgen stain for DNA was used. Features analyzed included: (1) DNA content; (2) nuclear size and shape; and (3) texture features, describing spatial features of chromatin distribution. In this study replicated measurements are described on a series of 54 breast carcinoma specimens of differing pathologic grades. Duplicate measurements were performed using two serial sections, which were processed and analyzed separately. The value of a single feature measurement, the nuclear area profile, was shown to be the strongest indicator of progression. A quantitative nuclear grade was derived and shown to be strongly correlated with not only the pathologic nuclear grade, but also with tubule formation, mitotic grade, and with the overall histopathologic grade. Analysis of replication precision showed that the standard methods of the histopathology laboratory, if practiced in a uniform manner, are sufficient to ensure reproducibility of these assessments. We argue that nuclear morphometry provides a standardized and reproducible framework for quantitative pathologic assessments. |
| format | Article |
| id | doaj-art-ba5e2e9c77794223b4c8cc0e3977a0c7 |
| 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-ba5e2e9c77794223b4c8cc0e3977a0c72025-08-20T02:19:26ZengWileyAnalytical Cellular Pathology0921-89121878-36512003-01-0125312913810.1155/2003/262918Risk Biomarker Assessment for Breast Cancer Progression: Replication Precision of Nuclear MorphometryN. Poulin0A. Frost1A. Carraro2E. Mommers3M. Guillaud4P.J. van Diest5W. Grizzle6S. Beenken7Cancer Imaging, BC Cancer Research Center, Vancouver, CanadaDepartments of Surgery and Pathology, University of Alabama at Birmingham, UKCancer Imaging, BC Cancer Research Center, Vancouver, CanadaInstitute for Pathology, Free University of Amsterdam, The NetherlandsCancer Imaging, BC Cancer Research Center, Vancouver, CanadaInstitute for Pathology, Free University of Amsterdam, The NetherlandsDepartments of Surgery and Pathology, University of Alabama at Birmingham, UKDepartments of Surgery and Pathology, University of Alabama at Birmingham, UKNuclear morphometry is a method for quantitative measurement of histopathologic changes in the appearance of stained cell nuclei. Numerous studies have indicated that these assessments may provide clinically relevant information related to the degree of progression and malignant potential of breast neoplasia. Nuclear features are derived from computerized analysis of digitized microscope images, and a quantitative Feulgen stain for DNA was used. Features analyzed included: (1) DNA content; (2) nuclear size and shape; and (3) texture features, describing spatial features of chromatin distribution. In this study replicated measurements are described on a series of 54 breast carcinoma specimens of differing pathologic grades. Duplicate measurements were performed using two serial sections, which were processed and analyzed separately. The value of a single feature measurement, the nuclear area profile, was shown to be the strongest indicator of progression. A quantitative nuclear grade was derived and shown to be strongly correlated with not only the pathologic nuclear grade, but also with tubule formation, mitotic grade, and with the overall histopathologic grade. Analysis of replication precision showed that the standard methods of the histopathology laboratory, if practiced in a uniform manner, are sufficient to ensure reproducibility of these assessments. We argue that nuclear morphometry provides a standardized and reproducible framework for quantitative pathologic assessments.http://dx.doi.org/10.1155/2003/262918 |
| spellingShingle | N. Poulin A. Frost A. Carraro E. Mommers M. Guillaud P.J. van Diest W. Grizzle S. Beenken Risk Biomarker Assessment for Breast Cancer Progression: Replication Precision of Nuclear Morphometry Analytical Cellular Pathology |
| title | Risk Biomarker Assessment for Breast Cancer Progression: Replication Precision of Nuclear Morphometry |
| title_full | Risk Biomarker Assessment for Breast Cancer Progression: Replication Precision of Nuclear Morphometry |
| title_fullStr | Risk Biomarker Assessment for Breast Cancer Progression: Replication Precision of Nuclear Morphometry |
| title_full_unstemmed | Risk Biomarker Assessment for Breast Cancer Progression: Replication Precision of Nuclear Morphometry |
| title_short | Risk Biomarker Assessment for Breast Cancer Progression: Replication Precision of Nuclear Morphometry |
| title_sort | risk biomarker assessment for breast cancer progression replication precision of nuclear morphometry |
| url | http://dx.doi.org/10.1155/2003/262918 |
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