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计算机辅助图像分析中反映出的良性色素性皮肤病变已知细胞组成的差异。

Differences in the known cellular composition of benign pigmented skin lesions reflected in computer-aided image analysis.

作者信息

Choi Jae Woo, Ryu Hyeong Ho, Byun Sang Young, Youn Sang Woong

机构信息

Department of Dermatology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.

出版信息

Ann Dermatol. 2014 Jun;26(3):314-20. doi: 10.5021/ad.2014.26.3.314. Epub 2014 Jun 12.

DOI:10.5021/ad.2014.26.3.314
PMID:24966630
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4069641/
Abstract

BACKGROUND

Computer-aided image analysis (CAIA) has been suggested as an effective diagnostic tool for pigmented skin lesions (PSLs), especially melanoma. However, few studies on benign PSLs have been reported.

OBJECTIVE

The purpose of this study was to evaluate benign PSLs with our CAIA software and analyze the differences between the parameters of those lesions.

METHODS

By using homegrown CAIA software, we analyzed 3 kinds of PSLs-nevus, lentigo, and seborrheic keratosis. The group of seborrheic keratosis was divided into pigmented seborrheic keratosis, sebolentigine, and hyperkeratotic seborrheic keratosis. The CAIA was used to extract the color, as well as the morphological, textural, and topological features from each image.

RESULTS

In line with clinical observations, the objective parameters indicated that nevus was dark and round, lentigo was small and bright, and seborrheic keratosis was large and spiky. The surface of nevus showed the highest contrast and correlation. In topological analysis, the concentricity clearly separated melanocytic lesions from seborrheic keratosis. The parameters of pigmented seborrheic keratosis were between those of typical nevus and seborrheic keratosis.

CONCLUSION

We confirmed that definite correlations exist between the subjective differentiation by experts' examination and the objective evaluation by using CAIA. We also found that the morphological differences observed in CAIA were greatly influenced by the composition ratios of keratinocytes and melanocytes, which are already known histopathological characteristics of each PSL.

摘要

背景

计算机辅助图像分析（CAIA）已被认为是一种用于色素沉着性皮肤病变（PSL），尤其是黑色素瘤的有效诊断工具。然而，关于良性PSL的研究报道较少。

目的

本研究旨在使用我们的CAIA软件评估良性PSL，并分析这些病变参数之间的差异。

方法

通过使用自主研发的CAIA软件，我们分析了3种PSL——痣、雀斑样痣和脂溢性角化病。脂溢性角化病组又分为色素性脂溢性角化病、脂溢性雀斑样痣和角化过度性脂溢性角化病。CAIA用于从每个图像中提取颜色以及形态、纹理和拓扑特征。

结果

与临床观察结果一致，客观参数表明痣颜色深且呈圆形，雀斑样痣小且明亮，脂溢性角化病大且呈尖状。痣的表面显示出最高的对比度和相关性。在拓扑分析中，同心度清楚地将黑素细胞性病变与脂溢性角化病区分开来。色素性脂溢性角化病的参数介于典型痣和脂溢性角化病之间。

结论

我们证实专家检查的主观鉴别与使用CAIA的客观评估之间存在明确的相关性。我们还发现，CAIA中观察到的形态学差异受角质形成细胞和黑素细胞组成比例的极大影响，而这是每种PSL已知的组织病理学特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a115/4069641/c30ef4483fb9/ad-26-314-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a115/4069641/938e38700898/ad-26-314-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a115/4069641/c448e43a3727/ad-26-314-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a115/4069641/7df50aa69468/ad-26-314-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a115/4069641/616c34a64259/ad-26-314-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a115/4069641/c30ef4483fb9/ad-26-314-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a115/4069641/938e38700898/ad-26-314-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a115/4069641/c448e43a3727/ad-26-314-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a115/4069641/7df50aa69468/ad-26-314-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a115/4069641/616c34a64259/ad-26-314-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a115/4069641/c30ef4483fb9/ad-26-314-g005.jpg

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本文引用的文献

1
Gray level co-occurrence matrix texture analysis of germinal center light zone lymphocyte nuclei: physiology viewpoint with focus on apoptosis.生发中心亮区淋巴细胞核灰度共生矩阵纹理分析：以细胞凋亡为重点的生理学观点。
Microsc Microanal. 2012 Jun;18(3):470-5. doi: 10.1017/S1431927612000098. Epub 2012 Mar 23.
2
Quantitative color assessment of dermoscopy images using perceptible color regions.使用可感知颜色区域对皮肤镜图像进行定量颜色评估。
Skin Res Technol. 2012 Nov;18(4):462-70. doi: 10.1111/j.1600-0846.2011.00594.x. Epub 2012 Jan 24.
3
Automatic segmentation of dermoscopic images by iterative classification.
通过迭代分类实现皮肤镜图像的自动分割。
Int J Biomed Imaging. 2011;2011:972648. doi: 10.1155/2011/972648. Epub 2011 Jul 17.
4
Segmentation of dermatoscopic images by frequency domain filtering and k-means clustering algorithms.基于频域滤波和 K 均值聚类算法的皮肤镜图像分割。
Skin Res Technol. 2011 Nov;17(4):469-78. doi: 10.1111/j.1600-0846.2011.00520.x. Epub 2011 Feb 22.
5
Unsupervised segmentation for digital dermoscopic images.无监督的数字皮肤镜图像分割。
Skin Res Technol. 2010 Nov;16(4):401-7. doi: 10.1111/j.1600-0846.2010.00455.x. Epub 2010 Sep 29.
6
Reflectance confocal microscopy as an aid to dermoscopy to improve diagnosis on equivocal lesions: evaluation of three bluish nodules.反射式共聚焦显微镜辅助皮肤镜检查以改善对可疑病变的诊断：三个蓝色结节的评估
Dermatol Res Pract. 2010;2010. doi: 10.1155/2010/168248. Epub 2010 Sep 16.
7
Differentiation of melanoma from benign mimics using the relative-color method.利用相对颜色法鉴别黑素瘤与良性肿瘤。
Skin Res Technol. 2010 Aug;16(3):297-304. doi: 10.1111/j.1600-0846.2010.00429.x.
8
A study of a method for distribution analysis of skin color.一种皮肤颜色分布分析方法的研究。
Skin Res Technol. 2009 May;15(2):200-13. doi: 10.1111/j.1600-0846.2009.00355.x.
9
Facial skin rejuvenation in the Asian patient.亚洲患者的面部皮肤年轻化
Facial Plast Surg Clin North Am. 2007 Aug;15(3):381-6, vii. doi: 10.1016/j.fsc.2007.04.007.
10
Correlation of dermoscopy with in vivo reflectance confocal microscopy of streaks in melanocytic lesions.皮肤镜检查与黑素细胞性皮损条纹的体内反射式共聚焦显微镜检查的相关性
Arch Dermatol. 2007 Jun;143(6):727-34. doi: 10.1001/archderm.143.6.727.