Diagnostic parameters in liquid-based cervical cytology using a coagulant suspension fixative
Diagnostic parameters in liquid-based cervical cytology using a coagulant suspension fixative
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DOI：
10.1159/000326197
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发表时间：
2005-09-01
期刊：
影响因子：
1.8
通讯作者：
Kok, LP
中科院分区：
文献类型：
--
作者：
Boon, ME;Ouwerkerk-Noordam, E;Kok, LP
目的 详细评估悬浮在凝固固定剂 BoonFix (R)（Finetec，东京，日本）中的宫颈细胞样本在液基 Papspin (R) 载玻片（Thermo Shandon，匹兹堡，宾夕法尼亚州，美国）中的形态，以检测感染和肿瘤诊断参数的变化。 研究设计 收集了 1,010 例病例的分割样本。所有 Papspin (R) 载玻片均采用神经网络技术进行扫描。 849 例诊断结果“在正常范围内”； 22 例为肿瘤前期。在 151 个特殊病例中，将传统涂片与薄层玻片进行了比较。结果 在 151 个特殊病例中，85% 在 Papspino 玻片中观察到诊断参数发生变化。在 94% 的病例中，炎症细胞与上皮细胞的粘附参数更容易辨别，微生物的粘附变化为 43-100%。 79% 的人挖空细胞现象更为明显。在 50-100% 的 p 肿瘤病例中，非典型和恶性细胞中突出的核仁增强。将耳朵与 Papspin (R) 载玻片上的细胞不再存在于诊断条纹中这一事实进行比较，仅在滤泡性宫颈炎的情况下才构成问题。结论 参数的变化促进了诊断过程。 BoonFix (R) 允许筛选基于液体的 Papspin (R) 载玻片，事实证明该载玻片非常适合自动神经网络扫描。
Objective To evaluate in detail the morphology of cervical cell samples suspended in the coagulant fixative BoonFix (R) (Finetec, Tokyo, Japan) in liquid-based Papspin (R) slides (Thermo Shandon, Pittsburgh, Pennsylvania, U.S.A) to detect shifts in diagnostic parameters for infections and neoplasia.Study Design Split samples of 1,010 cases were collected. All Papspin (R) slides were scanned with neural network technology. In 849 cases the diagnosis was "within normal limits"; in 22 cases it was preneoplasia. In 151 special cases conventional smears were compared with thin-layer slides.Results In 85% of the 151 special cases, a shift of the diagnostic parameter was observed in the Papspino slide. The parameter adhesion of inflammatory cells to epithelial cells was easier to discern in 94 % of the cases, and adhesion of microorganisms varied 43-100%. Koilocytosis was more visible in 79%. Prominent nucleoli in atypical and malignant cells were e-nhancedin 50-100% ofcases withpi-eneoplasia. The ears were compared with fact that the cells on the Papspin (R) slide were no longer-present in diagnostic streaks posed a problem only in the case of follicular cervicitis.Conclusion The shifts in parameters facilitated the diagnostic process. BoonFix (R) permits the screening of liquid-based Papspin (R) slides, which have proven to he well suited to automated neural network scanning.