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黑素细胞肿瘤的形态计量分析。核面积与密度的研究。

Morphometric analysis of melanocytic tumors. A study of nuclear area and density.

作者信息

Boivin C, Thomine E, Menard J F, Bigorgne C, Hemet J

机构信息

Laboratoire d'Anatomie Pathologique A, Rouen, France.

出版信息

Am J Dermatopathol. 1994 Apr;16(2):145-9. doi: 10.1097/00000372-199404000-00007.

Abstract

Because the differential diagnosis of melanocytic tumors is sometimes difficult, we performed a morphometric analysis of 20 benign nevi, 20 malignant melanomas, and 10 Spitz's nevi. The nuclear pleomorphism and the maturation to the depth of the tumor were quantified by measuring nuclear area and nuclear density at serial levels of the tumor (every 220 microns of thickness). Data obtained were analyzed statistically. Linear regression was used to represent the variation of nuclear area to the depth, and the standard deviation of nuclear areas reflected nuclear pleomorphism. We attempted to separate different tumors from each other using the Jacknife procedure and morphometric data. Using the Jacknife procedure rather than the usual histological procedures, we were able to distinguish benign nevi from Spitz's nevi and malignant melanoma in as many as 92% of cases, but we distinguished Spitz's nevi from malignant melanoma in only up to 60% of cases. In conclusion, we found it difficult to distinguish between Spitz nevi and melanoma using nuclear morphometric parameters. Other studies using new morphometric parameters are needed in order to improve our ability to make this discrimination.

摘要

由于黑素细胞肿瘤的鉴别诊断有时很困难,我们对20例良性痣、20例恶性黑色素瘤和10例斯皮茨痣进行了形态计量分析。通过在肿瘤的连续层面(每220微米厚度)测量核面积和核密度,对核多形性和肿瘤深度的成熟度进行量化。对获得的数据进行统计学分析。用线性回归表示核面积随深度的变化,核面积的标准差反映核多形性。我们试图用刀切法和形态计量数据将不同的肿瘤彼此区分开来。使用刀切法而非通常的组织学方法,我们在多达92%的病例中能够将良性痣与斯皮茨痣及恶性黑色素瘤区分开来,但在仅高达60%的病例中能够将斯皮茨痣与恶性黑色素瘤区分开来。总之,我们发现使用核形态计量参数很难区分斯皮茨痣和黑色素瘤。需要进行其他使用新形态计量参数的研究,以提高我们进行这种鉴别的能力。

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