[测定妇科悬浮液制剂中显著阳性诊断的细胞计数和自动制剂分析的可能后果]。

Microscopica acta. Supplement Pub Date : 1983-01-01
G Schwarz, M Schwarz
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引用次数: 0

摘要

用于自动化细胞学的单层制剂是由妇科细胞悬浮液生成的。与常规细胞学涂片相比,悬浮液衍生制剂(s.p)表现出一些特点。sp的一个重要特征是细胞的分布主要是偶然的。因此,它似乎是有可能确定细胞样本大小的最小需要细胞学诊断。在盲目测试所需的细胞样本大小是由计数细胞微观领域的愿景(5 x眼12日,客观的10倍,视野的φ2毫米)一步一步直到可以分类标本(诊断1)。为安全起见(人身安全要求)做进一步的细胞(2)诊断评估。我们使用……从50 50一桩“无可疑点”的妇女和浸润性鳞状细胞癌的女性的子宫颈癌及其前体。要识别强阳性病例(严重增生到浸润性癌),只需要大约600个细胞(平均:150/147个细胞)。阴性病例和轻度至中度发育不良病例(平均:293/236个细胞)需要最多的细胞(约1200个细胞)。在轻度至中度发育不良的病例中发现了最高的人身安全要求(311%,而平均样本量为236或100%)。结果支持这种方法在自动化细胞学分析只有一些几百或1000细胞与高分辨率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Determination of a significant cell count for positive diagnosis in gynecologic suspension preparations and possible consequences for the analysis of automated preparations].

Monolayer preparations used in automated cytology are generated from gynecologic cell suspensions. The suspension-derived preparations (s.p.) show some peculiarities compared with conventional cytologic smears. One important feature of the s.p. is a distribution of cells mainly by chance. Therefore it seems to be possible to determine a cell sample size in minimum needed for cytologic diagnosis. In a blind test the needed cell sample size was determined by counting the cells in the microscopic fields of vision (ocular 12,5 x, objective 10 x, phi of the field of vision 2 mm) step by step until it was possible to classify the specimen (diagnosis 1). To be on the safe side (personal safety requirement) some further cells were assessed (diagnosis 2). We used s.p. from 50 non-suspicious women and 50 women with invasive squamous cell carcinoma of the uterine cervix and its precursors. To recognize strong positive cases (severe dysplasia to invasive carcinoma) only about 600 cells are needed (mean: 150/147 cells). The most cells (about 1200 cells) are required in negative cases and cases of mild to moderate dysplasia (mean: 293/236 cells). The highest personal safety requirement was found in cases of mild to moderate dysplasia (311% compared with a mean sample size of 236 or 100%). The results support such approaches in automated cytology which analyze only some hundreds or about 1000 cells with high resolution.

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