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定量表面形貌作为黑色素瘤与痣鉴别诊断的一种工具。

Quantitative surface topography as a tool in the differential diagnosis between melanoma and naevus.

作者信息

Connemann B J, Busche H, Kreusch J, Teichert H M, Wolff H H

机构信息

Klinik für Dermatologie und VenerologieInstitut für Mathematik, Medizinische Universität zu Lübeck, Ratzeburger Allee 160, D-23538 Lübeck, Germany.

出版信息

Skin Res Technol. 1995 Nov;1(4):180-6. doi: 10.1111/j.1600-0846.1995.tb00041.x.

Abstract

BACKGROUND/AIMS: The mainstays of the clinical diagnosis of melanoma are asymmetry, border irregularity, color variegation, and a diameter >6 mm, and any major progress in diagnostic accuracy will probably be related to the development of additional criteria. Such independent criteria might arise from the study of the geometry of the tumour surface, because this quality has been substantially disregarded until now. Our work is aimed at utilizing the surface topography for the differential diagnosis between malignant melanoma and naevocytic naevus.

METHODS

Dynamically focusing optical profilometry was used to measure the surfaces of negative replicas of melanocytic skin tumours and of the surrounding normal skin. 21 silicone imprints of superficial spreading melanomas and 25 imprints of naevocytic naevi were examined.

RESULTS

Melanomas and naevi differed with respect to a variety of statistical surface parameters, and a linear discriminant analysis correctly allocated 19 out of 21 melanomas (90%) and 21 out of 25 naevi (84%). To get an unbiased estimate of the errors to be expected with this classification rule, we calculated bootstrap-corrections to the apparent errors. Estimated probabilities of correct allocation were 84.1% for melanomas and 77.1% for naevi.

CONCLUSION

Our findings suggest that simple statistical parameters of surface topography can differentiate effectively between malignant melanomas and naevocytic naevi.

摘要

背景/目的:黑色素瘤临床诊断的主要依据是不对称性、边界不规则、颜色斑驳以及直径>6mm,而诊断准确性的任何重大进展可能都与额外标准的制定有关。这种独立标准可能源于对肿瘤表面几何形状的研究,因为迄今为止这一特性基本上被忽视了。我们的工作旨在利用表面形貌进行恶性黑色素瘤和痣细胞痣的鉴别诊断。

方法

使用动态聚焦光学轮廓术测量黑素细胞性皮肤肿瘤及其周围正常皮肤的阴性复制品的表面。检查了21个浅表扩散性黑色素瘤的硅胶印记和25个痣细胞痣的印记。

结果

黑色素瘤和痣在多种统计表面参数方面存在差异,线性判别分析正确地将21个黑色素瘤中的19个(90%)和25个痣中的21个(84%)进行了分类。为了对该分类规则预期的误差进行无偏估计,我们计算了对明显误差的自展校正。黑色素瘤正确分类的估计概率为84.1%,痣为77.1%。

结论

我们的研究结果表明,表面形貌的简单统计参数可以有效地区分恶性黑色素瘤和痣细胞痣。

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