Sağol O, Culhaci N, Yörükoğlu K, Ozen E, Canda T
Department of Pathology, Dokuz Eylül University Medical Faculty, 35340 Inciralti, Izmir, Turkey.
Anal Quant Cytol Histol. 2001 Feb;23(1):21-6.
To evaluate the use of stereologically estimated tumor cell counts in the mitotic index as well as to investigate its correlation with the currently used method and test the reproducibility of the method.
The stereologic method described by Simpson et al was used to estimate tumor cellularity in 50 invasive ductal carcinomas. Mitotic counts were also performed, and the mitotic index was calculated by the use of estimated tumor cell counts. Estimated cell counts and the mitotic index calculated were compared statistically with the actual cell counts and the traditional mitotic grades, respectively. Interobserver reproducibility of the method was also tested.
Stereologically estimated tumor cell counts had a good correlation with actual cell counts (r = .891, P < .001). Besides, the mitotic indices calculated with tumor cell counts (calculated with both estimated and actual cell counts) in the denominator of the fraction of the mitotic index were in agreement with the currently used method (P < .01 for both). There was no statistically significant difference between the counts of two observers (P = .068).
The suggested method, considering tumor cellularity as an influencing factor, was practical, reproducible and in agreement with the traditional method. This method should be studied in a large group of patients with follow-up data to determine the threshold values for different grades and determine its prognostic value during the disease course.
评估在有丝分裂指数中使用体视学估计的肿瘤细胞计数,并研究其与当前使用方法的相关性,以及测试该方法的可重复性。
采用辛普森等人描述的体视学方法对50例浸润性导管癌的肿瘤细胞密度进行估计。同时进行有丝分裂计数,并使用估计的肿瘤细胞计数计算有丝分裂指数。将估计的细胞计数和计算出的有丝分裂指数分别与实际细胞计数和传统有丝分裂分级进行统计学比较。还测试了该方法在观察者间的可重复性。
体视学估计的肿瘤细胞计数与实际细胞计数具有良好的相关性(r = 0.891,P < 0.001)。此外,在有丝分裂指数分数的分母中使用肿瘤细胞计数(使用估计和实际细胞计数计算)计算出的有丝分裂指数与当前使用的方法一致(两者P < 0.01)。两位观察者的计数之间无统计学显著差异(P = 0.068)。
所建议的方法将肿瘤细胞密度作为一个影响因素,实用、可重复且与传统方法一致。该方法应在一大组有随访数据的患者中进行研究,以确定不同分级的阈值,并确定其在疾病过程中的预后价值。