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非典型色素沉着性皮肤病变的数字皮肤镜分析:一种逐步逻辑判别分析方法。

Digital dermoscopy analysis of atypical pigmented skin lesions: a stepwise logistic discriminant analysis approach.

作者信息

Rubegni P, Cevenini G, Burroni M, Dell'Eva G, Sbano P, Cuccia A, Andreassi L

机构信息

Department of Dermatology, University of Siena, Policlinico 'Le Scotte, 53100 Siena, Italy.

出版信息

Skin Res Technol. 2002 Nov;8(4):276-81. doi: 10.1034/j.1600-0846.2001.00350.x.

Abstract

BACKGROUND

Digital microscopy is a non-invasive diagnostic technique enabling determination of characteristics that cannot be appreciated by direct observation. If correctly applied, this technique can be useful for the diagnosis of pigmented skin lesions.

PURPOSE

To evaluate the utility of digital microscopy for analysing atypical benign and malignant pigmented skin lesions exploiting digital numerical filtering and automatic measurements.

METHODS

Forty-eight parameters were identified as possible discriminating variables, and were grouped in four categories: geometries, colours, textures, and islands of colour. Statistical analysis was used to identify the variables with the highest discriminating power.

RESULTS

The high quality of the digital image made it possible to observe diagnostic signs in pigmented skin lesion images, acquired by the present technique, in great detail. Specially designed filtering enhanced certain diagnostic patterns. Stepwise discriminant analysis selected only 10 variables (the means of these variables were higher in melanomas than in nevi).

CONCLUSIONS

The combined use of digital dermoscopy and stepwise logistic discriminant analysis made it possible to single out the best objective variables for distinguishing atypical nevi and early melanoma.

摘要

背景

数字显微镜检查是一种非侵入性诊断技术,能够确定直接观察无法察觉的特征。如果应用得当,该技术可用于色素沉着性皮肤病变的诊断。

目的

利用数字数值滤波和自动测量评估数字显微镜检查在分析非典型良性和恶性色素沉着性皮肤病变中的效用。

方法

确定48个参数作为可能的判别变量,并将其分为四类:几何形状、颜色、纹理和颜色岛。采用统计分析来识别具有最高判别能力的变量。

结果

数字图像的高质量使得通过本技术获取的色素沉着性皮肤病变图像中的诊断体征得以详细观察。专门设计的滤波增强了某些诊断模式。逐步判别分析仅选择了10个变量(这些变量的均值在黑色素瘤中高于痣)。

结论

数字皮肤镜检查与逐步逻辑判别分析的联合使用使得能够挑选出区分非典型痣和早期黑色素瘤的最佳客观变量。

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