PubMed Health⌕ Search

Biomedical subjects

C McLatchie

Publications and source records attributed to C McLatchie.

5 recordsLinked to original sources

Cytomorphometric differences among individual "moderate dysplasia" cells derived from cervical intraepithelial neoplasia.

Individual abnormal cervical epithelial cells can be categorized either by the lesion from which they are derived or by their unique cytologic characteristics. In building a data base for image analysis of cervical epithelial cells, categories of cells were defined according to distinct cytomorphologic characteristics, without knowledge of the lesion of origin. The three individual scorers, two cytopathologists and one senior cytotechnologist, most frequently agreed upon the cells classified as "moderate dysplasia." The measurements of digitized cells in this category had the smallest confidence intervals of any of the abnormal cell categories. For these two reasons, as well as the ubiquitous nature of "moderate dysplasia" cells in smears obtained from all patients with cervical epithelial neoplasia, cells in this category were studied in greater detail. Significant differences were noted in cell measurements among cells in this class when the cells came from patients with different grades of cervical neoplasia. The findings indicate that visually similar "moderate dysplasia" cells can be separated by digitized measurements into clusters dependent upon the parent lesion. The biologic implications are not yet clear, but such findings suggest that each disease is perhaps a committed lesion from inception. Therefore, predictability of ultimate outcome could be based on image analysis of cells derived from early cervical lesions, which would allow therapy to be performed on a more logical basis.

Carcinoma in Situ↗

The effect of filtration on the loss of abnormal cervical cells in specimen preparation for automated cytology.

The UCLA monolayer procedure is used to produce a preparation of cervical epithelial cells for automated cytology. We investigated the nylon mesh filtration step of the procedure to determine if it altered the proportion of abnormal epithelial cells in the specimen. The proportion of such cells was found to be significantly lower (P less than 0.05) in the final specimen retained by a 10 micron nylon mesh filter than in the filtrate, which has been routinely discarded in our studies. The filtrate specimen is contaminated by large numbers of polymorphonuclear leukocytes, however, making it unusable for automated cytology at present. The implications of our findings for the cost effectiveness of classifier performance are considered, and the implications of the results for further improvements in specimen preparation are discussed.

Cell Separation↗

An expanded cervical cell classification system validated by automated measurements.

The commonly used nomenclature for classifying cervical cells was expanded to include more classes, reflecting finer gradations of disease-related morphologic changes. Using a set of subjective visual criteria developed for this purpose, we visually classified 7,000 randomly selected cells and then subjected them to morphologic measurement by digital image analysis. Several of the measurements showed statistically significant differences among all the cell classes, indicating that it is possible to distinguish the finer morphologic gradations incorporated in the new system of cell classes. These same measurements showed a continuous trend of change from class to class along the scale from borderline dysplasia to carcinoma. This is consistent with the notion of a continuous progression of disease development. Finally, we found that those measurements that reflect the visual criteria used in the manual classification were significantly different between classes, indicating that the computer system can successfully quantify many of the important visual criteria.

Cell Nucleus↗

A simple method of producing a monolayer of cervical cells for digital image processing.

A manual method of producing a monolayer of isolated and evenly distributed cervical epithelial cells has been developed for use in an automated digital image analysis system. The cervical scrape specimen is vortexed from the spatula into a solution of Mucosol. The suspension is filtered through a 10 micro nylon mesh to remove polys and debris and then syringed to disaggregate epithelial clumps. The cells are plated out on a Nuclepore filter. The filter is touched directly onto a glass microscopic slide to transfer cells, which are then fixed and stained in a routine manner. Cell counts reveal elimination of 92% polys, with only 2% loss of squamous cells.

Autoanalysis↗

Endocervical columnar cell atypia coincident with cervical neoplasia characterized by digital image analysis.

In the course of classifying uterine cervical epithelial cells for digital image analysis, certain changes in endocervical cells were observed. These changes coincided with the process ongoing in the squamous or metaplasia epithelium. Specifically, in severe dysplasias or carcinomas in situ (CIS), the endocervical nuclei reflected some of the same cytologic changes observed in the dysplastic or CIS squamous cells and yet definitely retained their columnar shape and cytoplasmic quality. This paper deals with almost unexplored area of the endocervical columnar cell in the face of significant cervical neoplasia. Correlation is made between the cytologic criteria observed by the human eye with the light microscope and significant parameters measured by digital image analysis. These measurements suggest that endocervical columnar cells may participate in the dysplastic progression toward CIS.

Carcinoma in Situ↗