Stolz W, Vogt T, Landthaler M, Hempfer S, Bingler P, Abmayr W
Department of Dermatology, University of Regensburg, Germany.
J Cutan Pathol. 1994 Feb;21(1):7-15. doi: 10.1111/j.1600-0560.1994.tb00684.x.
Recently image analysis (IA) and DNA-cytophotometry (CP) have proved to be useful for the differentiation between benign and malignant melanocytic lesions on paraffin sections. Since, on sections, these procedures are very time-consuming, we tested in the present study whether IA of imprint specimens, which can be evaluated in less than 30 minutes, might also be sufficient. In 39 malignant melanomas (MM), 18 melanocytic nevi (MN), and 6 dysplastic nevi (DN), 12 different morphometric and DNA cytometric features were determined in 100 randomly selected nuclei. In univariate analysis, 5 features were found to be significantly different between the benign and malignant groups (p < 0.0001): mean value (MAREA) and standard deviation (SAREA) of nuclear area and the 80th, 90th, and 95th percentiles of DNA distribution. Using SAREA, the best univariate feature, 82.5% of the cases could be correctly separated. In multivariate analysis with a combination of three features--standard deviation of nuclear area (SAREA), mean DNA value (MDNA), and 95th percentile of DNA distribution (PERC95)--a correct diagnosis was achieved in 89.5% of the cases. Results obtained in the cases of DN indicated an increased proliferation, but did not allow the separation of DN from MM and MN. Since our technique allows a rapid analysis without loss of tissue, which might be important for histological analysis, and the classification rates are equal or still higher than reported in studies on sections, imprints of melanocytic lesions seem to be most appropriate for the calculation of DNA cytometric features as helpful diagnostic criteria in equivocal melanocytic lesions.
最近，图像分析（IA）和DNA细胞光度测定法（CP）已被证明有助于石蜡切片上良性和恶性黑素细胞性病变的鉴别。由于在切片上进行这些操作非常耗时，我们在本研究中测试了能否在不到30分钟内完成评估的印片标本的IA也足够。在39例恶性黑色素瘤（MM）、18例黑素细胞痣（MN）和6例发育异常痣（DN）中，在100个随机选择的细胞核中测定了12种不同的形态计量学和DNA细胞计量学特征。单变量分析发现，良性和恶性组之间有5个特征存在显著差异（p<0.0001）：核面积的平均值（MAREA）和标准差（SAREA）以及DNA分布的第80、90和95百分位数。使用SAREA（最佳单变量特征），82.5%的病例可以正确区分。在结合核面积标准差（SAREA）、平均DNA值（MDNA）和DNA分布的第95百分位数（PERC95）这三个特征的多变量分析中，89.5%的病例实现了正确诊断。DN病例的结果表明增殖增加，但无法将DN与MM和MN区分开来。由于我们的技术允许快速分析且不损失组织，这对组织学分析可能很重要，并且分类率等于或仍高于切片研究中报道的，黑素细胞性病变的印片似乎最适合计算DNA细胞计量学特征，作为可疑黑素细胞性病变中有帮助的诊断标准。
