Nagaoka T, Kiyohara Y, Koga H, Nakamura A, Saida T, Sota T
Waseda Research Institute for Science and Engineering, Waseda University, Shinjuku, Tokyo, Japan.
Dermatology Division, Shizuoka Cancer Center Hospital, Nagaizumi, Shizuoka, Japan.
Skin Res Technol. 2015 Aug;21(3):278-83. doi: 10.1111/srt.12188. Epub 2014 Aug 14.
The morphology of pigmented skin lesions (PSLs) is predominantly a result of varying concentrations and distributions of pigmented molecules such as melanin and hemoglobin. Based on these differences and the fact that their information is contained in cutaneous spectra, a hyperspectral imager (HSI) for pigmented melanoma and a single discrimination index derived from the resultant hyperspectral data are proposed.
To develop and evaluate a new discrimination index for melanomas, compared to the previous index.
A HSI, which is convenient for both patients and clinicians, was newly developed and used in a clinical trial conducted in 2 centers with 80 patients with primary lesions and 17 volunteers between March 2011 and December 2013. There were 24 melanomas and 110 other PSLs. A previously proposed discrimination index was used without modifications. A new index, which emphasized the essential features of melanoma, was proposed, and its performance was examined. For each index, a threshold value was set to minimize the average value of the false positive and false negative fractions. The performances of both indices were compared.
The sensitivity and specificity of the old index were 75% and 97%, respectively, while those of the new index were 96% and 87%.
The new index had a higher sensitivity and adequate specificity, indicating that it is more useful than the old index.
色素沉着性皮肤病变(PSL)的形态主要是由黑色素和血红蛋白等色素分子的浓度和分布变化所致。基于这些差异以及其信息包含在皮肤光谱中的事实,提出了一种用于色素性黑色素瘤的高光谱成像仪(HSI)以及从所得高光谱数据导出的单一鉴别指数。
与先前的指数相比,开发并评估一种新的黑色素瘤鉴别指数。
新开发了一种对患者和临床医生都方便的HSI,并在2011年3月至2013年12月期间于2个中心对80例有原发性皮损的患者和17名志愿者进行了一项临床试验。其中有24例黑色素瘤和110例其他PSL。先前提出的鉴别指数未作修改使用。提出了一种强调黑色素瘤基本特征的新指数,并对其性能进行了检验。对于每个指数,设定一个阈值以最小化假阳性和假阴性分数的平均值。比较了两个指数的性能。
旧指数的敏感性和特异性分别为75%和97%,而新指数的敏感性和特异性分别为96%和87%。
新指数具有更高的敏感性和足够的特异性,表明它比旧指数更有用。