Cell Volume Distribution Pattern Analysis: A Means of Uterine Cancer Detection

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
H. William Gruchow, Professor (Creator)
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/

Abstract: The use of cell volume distribution pattern analysis as a semiautomated means of uterine cancer detection has been evaluated. The results of a study of 339 patients indicate that cell sizing effectively detects preinvasive lesions of the uterus. Compared with the Papanicolaou smear, cell volume distribution pattern analysis is as sensitive as the conventional technic in detecting invasive squamous-cell carcinoma of the cervix. However, for detection of adenocarcinoma of the endocervix and endometrium, cell sizing appears more than twice as sensitive as the conventional Ayre scrape. It was found that Trichomonas vaginalis under certain conditions acts as an interfering factor. From in vitro studies these conditions were determined and the means of eliminating the organism as a contaminant were considered.

Additional Information

American Journal of Clinical Pathology, 54:254-265, 1970.
Language: English
Date: 1970
Uterine cancer, Cell volume, Patterns, Prevention, Control, Detection

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