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首页> 外文期刊>Acta Cytologica: The Journal of Clinical Cytology and Cytopathology >Diagnostic parameters in liquid-based cervical cytology using a coagulant suspension fixative.
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Diagnostic parameters in liquid-based cervical cytology using a coagulant suspension fixative.

机译:使用混悬液悬浮液的液基宫颈细胞学的诊断参数。

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摘要

OBJECTIVE: To evaluate in detail the morphology of cervical cell samples suspended in the coagulant fixative BoonFix (Finetec, Tokyo, Japan) in liquid-based Papspin 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 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 Papspin 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 enhanced in 50-100% of cases with preneoplasia. The fact that the cellson the Papspin 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 permits the screening of liquid-based Papspin slides, which have proven to be well suited to automated neural network scanning.
机译:目的:详细评估悬浮于凝固性固定剂BoonFix(Finetec,东京,日本)中的液体基Papspin玻片(Thermo Shandon,匹兹堡,宾夕法尼亚州,美国)中的宫颈细胞样品的形态,以检测感染和感染的诊断参数的变化瘤形成。研究设计:收集了1,010例病例的分割样本。所有Papspin幻灯片均使用神经网络技术进行了扫描。在849例中,诊断为“在正常范围内”;在22例中,它是肾盂前切除术。在151种特殊情况下,将常规涂片与薄层玻片进行了比较。结果:在151例特殊病例中,有85%的患者在Papspin玻片中观察到诊断参数的变化。在94%的病例中,炎症细胞对上皮细胞的参数粘附更容易辨别,而微生物的粘附变化在43-100%之间。胆红素增多症在79%中更为明显。非典型和恶性细胞的突出核仁在50-100%的前睑板膜增生病例中得到增强。仅在滤泡性宫颈炎的情况下,Papspin玻片上的细胞不再存在于诊断条纹中的事实构成了问题。结论:参数的变化促进了诊断过程。 BoonFix可以筛选基于液体的Papspin载玻片,事实证明,该载玻片非常适合于自动神经网络扫描。

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