Clinical evaluation of the silver carbonate vaginal smear method in the diagnosis of uterine cancer

Autor: Eugenia Dontas, Angelina Arcilla, Gardner M. Riley, J. S. Behrman
Rok vydání: 1951
Předmět:
Zdroj: American journal of obstetrics and gynecology. 62(5)
ISSN: 0002-9378
Popis: 1. 1. A summary of the technical details of the silver carbonate staining method for vaginal smears is presented and the qualities of the stain are illustrated by photomicrographs of normal, suspicious, and malignant cells. 2. 2. During three successive years (1947–1950), three different examiners evaluated smears from a total of 2,008 gynecological patients whose history or clinical findings were suspicious for carcinoma of the uterus. 3. 3. The total number of carcinoma cases in the series was 120. Of this number, 98 cases were correctly diagnosed, leaving a total of 22 (18 per cent) undetected carcinomas. In the series of 1,888 patients without pathologically diagnosed carcinoma, 22 false positive diagnoses (1.2 per cent) were submitted. The total percentage error based on the total number of cases studied was 2.2 per cent. 4. 4. It is pointed out that the accuracy attained with this procedure compares favorably with that reported by others using conventional polychrome stains. Although additional experience with the cytological method and especially with the characteristics of silver-impregnated cells may be expected to result in fewer errors, improvements in methods for obtaining the cell samplings, especially from the endometrium, will tend to reduce the number of missed carcinomas. 5. 5. The experiences of the investigators with the silver technique during this trial period suggest that it may have certain practical advantages over polychrome procedures. Among these advantages are simplicity, rapidity, ease of examination, and the facility with which nuclear aberrations are recognized. These qualities, together with the observed accuracy, should prove of value in the application of cytological methods for the detection of carcinoma.
Databáze: OpenAIRE