Bol Marco G W, Baak Jan P A, Janssen Emiel A M, Breeuwsma Nelly G, de Bruin Peter C
Department of Pathology, SIR Hospital, Stavanger, Norway.
Anal Quant Cytol Histol. 2002 Apr;24(2):114-20.
To analyze the value for grading of a previously developed quantitative morphometric/cytometric multivariate grading model (consisting of the mean nuclear area of the 10 largest nuclei (MNA-10, mitotic activity index = MAI and Ki-67 area% = Ki-67) in two new independent test sets of urothelial carcinomas (UCs) of the urinary bladder and to evaluate the additional value of p53 area% (p53) in this model.
Ki-67 immunoquantitation, morphometric MAI and MNA-10 assessments using a previously described, strict protocol and matching of the resulting morphometric grade with subjective grade in two test sets of 154 T(A,1) UCs of the bladder (consensus grade between two independent observers). Further testing of this morphometric grading model was performed in 57 cases that lacked initial interobserver agreement on grade. Single and multivariate analysis of all features (including p53) was performed.
With the previously developed morphometric/cytometric grading model, 93% (grade 1 vs. 2) and 91% (grade 2 vs. 3) of the consensus cases were correctly classified. These percentages were very similar to previous results, suggesting that the model is robust. Of the 57 cases that lacked initial interobserver agreement on grade, 53/57 (93%) were classified unambiguously as grade 1, 2 or 3 with the quantitative morphometric/ cytometric grading model. In the exploratory analysis, p53 was significant but with more overlap than the other features had. In multivariate analysis p53 did not improve the overall classification result of the original morphometric/cytometric model.
The value of MNA-10, MAI and Ki-67 for grading in T(A,1) urothelial carcinomas of the urinary bladder was confirmed. p53 Did not improve overall grading classification of this combination.
在两个新的独立膀胱尿路上皮癌（UC）测试集中，分析先前开发的定量形态计量学/细胞计量学多变量分级模型（由10个最大细胞核的平均核面积（MNA-10）、有丝分裂活性指数（MAI）和Ki-67面积百分比（Ki-67）组成）的分级价值，并评估该模型中p53面积百分比（p53）的附加价值。
在两个包含154例膀胱T（A,1）UC的测试集中，采用先前描述的严格方案进行Ki-67免疫定量、形态计量学MAI和MNA-10评估，并将所得形态计量学分级与主观分级进行匹配（两位独立观察者之间的共识分级）。在57例最初观察者间分级不一致的病例中对该形态计量学分级模型进行进一步测试。对所有特征（包括p53）进行单变量和多变量分析。
使用先前开发的形态计量学/细胞计量学分级模型，93%（1级与2级）和91%（2级与3级）的共识病例被正确分类。这些百分比与先前结果非常相似，表明该模型具有稳健性。在57例最初观察者间分级不一致的病例中，53/57（93%）通过定量形态计量学/细胞计量学分级模型被明确分类为1级、2级或3级。在探索性分析中，p53具有显著性，但与其他特征相比有更多重叠。在多变量分析中，p53并未改善原始形态计量学/细胞计量学模型的总体分类结果。
证实了MNA-10、MAI和Ki-67在膀胱T（A,1）尿路上皮癌分级中的价值。p53并未改善该组合的总体分级分类。
