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客观恶性肿瘤分级:一篇强调将无偏倚体视学应用于乳腺肿瘤的综述

Objective malignancy grading: a review emphasizing unbiased stereology applied to breast tumors.

作者信息

Ladekarl M

机构信息

Stereological Research Laboratory, University of Aarhus, Denmark.

出版信息

APMIS Suppl. 1998;79:1-34.

PMID:9645191
Abstract

Low reproducibility reduces the clinical value of morphologic grading of malignant tumors, and the replacement of subjective classification by objective quantification has been suggested. Simple mitosis counting has been employed for objective malignancy grading most frequently and has proved its prognostic significance in, e.g., sarcomas and carcinomas of the breast and ovary. These and other measurements of morphometry are, however, obtained in two dimensions only, introducing bias due to ignorance of the fact that biologic structures are three-dimensional. Stereologic estimators are, to that end, well-suited, because they enable the assessment of spatial structure from sections. Studies addressing the impact of stereology in tumor pathology are the subject of the current review. Details of estimation are provided of stereologic variables of tumor size, numbers and densities of cancer cell nuclei and mitoses, mean size and size variability of cancer cell nuclei and variables of tissue architecture. Besides a description of their practical estimation the influence on variables of sampling method, tissue processing and observer variability is assessed, and estimator efficiency and measuring equipment is evaluated. Exemplifying the clinical importance of objective grading, results are summarized of prognostic studies of quantitative histopathology in women with breast cancer. It has been shown that many stereologic estimators are applicable to ordinary histologic sections processed under routine conditions. If a systematic random scheme of sampling is employed then the efficiency of estimation is usually high, and reproducible, accurate and representative results are ensured. For objective malignancy grading of breast cancer especially the volume-weighted mean nuclear size, vv (nuc), seems valuable, and the variable usually provides independent information to that of staging parameters. The prognostic value of vv (nuc) seems greatest in lymph node positive subsets, whereas the importance in lymph node negative patients should be further investigated. The clinical significance of some stereologic variables may be restricted due to relatively time consuming measurement procedures. However, the unbiased technique may provide precise measures of basic parameters like "tumor burden" and tumor growth pattern, and thereby be highly useful in experimental oncology. In conclusion, stereology is of great value for quantifying tumor elements. For objective malignancy grading especially assessment of the three-dimensional mean nuclear size seems useful. Prognostic significance of this variable has been demonstrated in, e.g., malignant melanoma and carcinomas of the breast, lung, bladder, prostate and uterine cervix. To determine the real clinical value of the measurements, further evaluation in a routine setting is necessary. In case such prospective studies confirm previous findings, the future replacement of subjective grading techniques by reproducible, objective variables seems feasible.

摘要

低重复性降低了恶性肿瘤形态学分级的临床价值,因此有人建议用客观量化取代主观分类。简单的有丝分裂计数最常用于客观恶性程度分级,并且已在例如肉瘤以及乳腺癌和卵巢癌中证明了其预后意义。然而,这些形态测量以及其他测量仅在二维上进行,由于忽略了生物结构是三维的这一事实而引入了偏差。为此,体视学估计量非常适用,因为它们能够从切片评估空间结构。本综述的主题是探讨体视学在肿瘤病理学中的影响的研究。提供了肿瘤大小、癌细胞核和有丝分裂的数量及密度、癌细胞核的平均大小和大小变异性以及组织结构变量等体视学变量的估计细节。除了描述其实际估计方法外,还评估了采样方法、组织处理和观察者变异性对变量的影响,并评估了估计效率和测量设备。通过举例说明客观分级的临床重要性,总结了乳腺癌女性定量组织病理学预后研究的结果。已表明许多体视学估计量适用于常规条件下处理的普通组织学切片。如果采用系统随机采样方案,那么估计效率通常较高,并能确保获得可重复、准确和具有代表性的结果。对于乳腺癌的客观恶性程度分级,尤其是体积加权平均核大小(vv(nuc))似乎很有价值,并且该变量通常能提供与分期参数无关的信息。vv(nuc)在淋巴结阳性亚组中的预后价值似乎最大,而在淋巴结阴性患者中的重要性有待进一步研究。由于测量过程相对耗时,一些体视学变量的临床意义可能有限。然而,这种无偏技术可以提供诸如“肿瘤负荷”和肿瘤生长模式等基本参数的精确测量,因此在实验肿瘤学中非常有用。总之,体视学在量化肿瘤成分方面具有重要价值。对于客观恶性程度分级,尤其是三维平均核大小的评估似乎很有用。该变量的预后意义已在例如恶性黑色素瘤以及乳腺癌、肺癌、膀胱癌、前列腺癌和子宫颈癌中得到证实。为了确定这些测量的实际临床价值,有必要在常规环境中进行进一步评估。如果此类前瞻性研究证实了先前的发现,那么用可重复的客观变量取代主观分级技术在未来似乎是可行的。

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