Automated detection of malignant features in confocal microscopy on superficial spreading melanoma versus nevi
Automated detection of malignant features in confocal microscopy on superficial spreading melanoma versus nevi
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DOI：
10.1117/1.3524301
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发表时间：
2010-11-01
影响因子：
3.5
通讯作者：
Jacques, Steven L.
中科院分区：
文献类型：
--
作者：
Gareau, Dan;Hennessy, Ricky;Jacques, Steven L.
在体内反射共聚焦显微镜（RCM）显示了浅表扩散性黑色素瘤（SSM）的早期检测的承诺。SSM的RCM示出表皮中的拟黑素细胞（PM）和真皮-表皮接合部（DE）处的混乱，其用计算机算法自动量化，所述计算机算法定位含有表皮中的PM和DEJ附近的着色基底细胞的最浅着色表面[D-SPS（x，y）]的深度。该算法使用200个非侵入性共焦光学切片，对10个皮肤部位的200 μ m表面进行成像：5个明确的SSM和5个痣。模式识别算法自动识别所有五个SSM中的PM，并且在痣中没有发现PM。D-SPS（x，y）上横向相邻点之间的大平均梯度psi（粗糙度）识别出SSM中的DEJ破坏，对于n = 5个SSM，psi = 11.7 +/- 3.7 [-]，而对于n = 5个痣，psi = 5.5 +/- 1.0 [-]（显著性，p = 0.0035）。恶性特征的定量终点指标使数字RCM数据成为病理学家有吸引力的诊断资产，增强了迄今为止主要依赖视觉评估的研究。(C)2010年光学仪器工程师学会，[DOI：10.1117/1.3524301]
In-vivo reflectance confocal microscopy (RCM) shows promise for the early detection of superficial spreading melanoma (SSM). RCM of SSM shows pagetoid melanocytes (PMs) in the epidermis and disarray at the dermal-epidermal junction (DE)), which are automatically quantified with a computer algorithm that locates depth of the most superficial pigmented surface [D-SPS(x,y)] containing PMs in the epidermis and pigmented basal cells near the DEJ. The algorithm uses 200 noninvasive confocal optical sections that image the superficial 200 mu m of ten skin sites: five unequivocal SSMs and five nevi. The pattern recognition algorithm automatically identifies PMs in all five SSMs and finds none in the nevi. A large mean gradient psi (roughness) between laterally adjacent points on D-SPS(x,y) identifies DEJ disruption in SSM psi = 11.7 +/- 3.7 [-] for n = 5 SSMs versus a small psi = 5.5 +/- 1.0 [-] for n = 5 nevi (significance, p = 0.0035). Quantitative endpoint metrics for malignant characteristics make digital RCM data an attractive diagnostic asset for pathologists, augmenting studies thus far, which have relied largely on visual assessment. (C) 2010 Society of Photo-Optical Instrumentation Engineers, [DOI: 10.1117/1.3524301]