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

APMIS. Supplementum Pub Date : 1998-01-01
M Ladekarl
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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.

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客观恶性分级:强调无偏立体学在乳腺肿瘤中的应用。
可重复性低降低了恶性肿瘤形态学分级的临床价值,有人建议用客观量化代替主观分级。简单有丝分裂计数是最常用于客观恶性分级的方法,并已证明其在乳腺癌和卵巢癌等肉瘤中的预后意义。然而,这些和其他形态测量仅在两个维度上获得,由于忽略了生物结构是三维的这一事实而引入了偏差。为此目的,立体估计器是非常合适的,因为它们能够从剖面上评估空间结构。关于肿瘤病理中立体学影响的研究是当前综述的主题。详细估计了肿瘤大小的立体变量,癌细胞核和有丝分裂的数量和密度,癌细胞核的平均大小和大小变异性以及组织结构的变量。除了对其实际估计的描述外,还评估了采样方法、组织处理和观察者变异对变量的影响,并评估了估计器的效率和测量设备。为了说明客观分级的临床重要性,本文总结了定量组织病理学对乳腺癌患者预后的研究结果。研究表明,许多立体估计器适用于常规条件下处理的普通组织学切片。如果采用系统的随机抽样方案,则估计的效率通常很高,并且保证了结果的可重复性、准确性和代表性。对于乳腺癌的客观恶性分级,尤其是体积加权平均核大小vv (nuc)似乎很有价值,该变量通常为分期参数提供独立的信息。vv (nuc)的预后价值似乎在淋巴结阳性亚群中最大,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,一些体视变量的临床意义可能受到限制。然而,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。综上所述,体视学对肿瘤因子的定量分析具有重要的价值。对于客观的恶性分级,尤其是三维平均核大小的评估似乎是有用的。该变量的预后意义已在恶性黑色素瘤和乳腺癌、肺癌、膀胱癌、前列腺癌和子宫颈癌中得到证实。为了确定测量的真正临床价值,需要在常规设置中进一步评估。如果这种前瞻性研究证实了以前的发现,那么将来用可重复的、客观的变量代替主观的评分技术似乎是可行的。
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