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扫描电子显微镜下尿细胞学检查的定量分析

Quantitation of scanning electron microscopic urinary cytology.

作者信息

Cano M, Wilson R B, Cohen S M

出版信息

Scan Electron Microsc. 1985(Pt 3):1273-8.

PMID:4070973
Abstract

Using scanning electron microscopy (SEM), differences in cell surface morphology are identifiable between normal urothelium and malignant urothelia including the presence of pleomorphic microvilli (PMV). PMV have been reported in carcinomas of the urinary bladder, and they appear early in the pathogenesis of these tumors in animal models. Preliminary studies in our laboratory and others' demonstrated similar changes in tissue and cytologic specimens from patients with bladder cancer. We observed and evaluated normal and neoplastic cells of the human bladder by SEM in a preliminary assessment of surface topography with regard to tumor growth, grade, and stage. However, while these SEM observations indicated that differences between normal and abnormal urothelia could be readily recognized, the distinction between the various types of atypical cells was not as clearly defined. Data collected so far indicates that changes in the surface topography of the exfoliated cells may possibly vary both in relation to tumor grade and stage. Based on these qualitative observations, we expanded our approach by using a computerized image analysis system directly interfaced with the SEM. The measurements which can be made include cell surface area, diameter, length, width, perimeter, orientation and number of PMV per unit area. Statistical analysis is also performed. The boundaries between cells are not recognizable by the system, making the single cells present in cytologic specimens ideal for evaluation. Uniform short microvilli are readily distinguished from PMV. Preliminary evaluation of 23 patients has distinguished specimens from malignant cases compared to patients with benign lesions.

摘要

利用扫描电子显微镜(SEM),可识别出正常尿路上皮与恶性尿路上皮之间细胞表面形态的差异,包括多形性微绒毛(PMV)的存在。PMV已在膀胱癌中被报道,并且在动物模型中这些肿瘤的发病机制早期就会出现。我们实验室和其他实验室的初步研究表明,膀胱癌患者的组织和细胞学标本中存在类似变化。我们通过SEM观察和评估了人膀胱的正常细胞和肿瘤细胞,对肿瘤生长、分级和分期的表面形貌进行了初步评估。然而,虽然这些SEM观察结果表明正常和异常尿路上皮之间的差异很容易识别,但各种非典型细胞之间的区别并不那么明确。目前收集的数据表明,脱落细胞表面形貌的变化可能与肿瘤分级和分期都有关。基于这些定性观察结果,我们通过使用直接与SEM连接的计算机图像分析系统扩展了我们的方法。可以进行的测量包括细胞表面积、直径、长度、宽度、周长、方向以及每单位面积的PMV数量。还进行了统计分析。该系统无法识别细胞之间的边界,这使得细胞学标本中存在的单个细胞成为评估的理想对象。均匀的短微绒毛很容易与PMV区分开来。对23名患者的初步评估已将恶性病例的标本与良性病变患者的标本区分开来。

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