Winkelmann Richard R, Rigel Darrell S, Ferris Laura, Sober Arthur, Tucker Natalie, Cockerell Clay J
Rigel Dermatology, New York, New York;
Department of Dermatology, New York University, New York, New York;
J Clin Aesthet Dermatol. 2016 Mar;9(3):36-8. Epub 2016 Mar 1.
To correlate Multi-spectral Digital Skin Lesion Analysis classifier scores with histopathological severity of pigmented lesions and clinical features of melanoma.
Classifier scores were computed for 1,632 skin lesions. Dermatologists evaluated the same lesions for Asymmetry, Border Irregularity, Color variegation, Diameter >6mm, Evolution, Patient's Concern, Regression, and/or "Ugly Duckling" sign. Classifier scores were correlated to the number of clinical risk features and for six histopathological severity levels of pigmented lesions.
Average classifier score, Welch's t-test, and chi-square analysis.
Melanomas had higher mean classifier scores (3.5) than high-grade dysplastic nevi (2.7, p=0.002), low-grade dysplastic nevi (1.7, p<0.0001), non-dysplastic nevi (1.6, p<0.0001), and benign non-melanocytic lesions (2.0, p<0.0001). Classifier score and the number of clinical risk characteristics directly correlated (Pearson coefficient 0.32, p<0.0001).
Correlation of classifier scores to clinical and histological melanoma features supports the effectiveness of Multi-spectral Digital Skin Lesion Analysis in assessing the risk of pigmented lesions requiring biopsy. Optimizing outcomes of dermatologist decisions to biopsy suspicious pigmented lesions may be enhanced utilizing Multi-spectral Digital Skin Lesion Analysis.
将多光谱数字皮肤病变分析分类器评分与色素性病变的组织病理学严重程度及黑色素瘤的临床特征相关联。
计算了1632例皮肤病变的分类器评分。皮肤科医生对相同病变评估不对称性、边界不规则性、颜色斑驳、直径>6mm、演变、患者担忧、消退和/或“丑小鸭”征。将分类器评分与临床风险特征数量以及色素性病变的六个组织病理学严重程度级别相关联。
平均分类器评分、韦尔奇t检验和卡方分析。
黑色素瘤的平均分类器评分（3.5）高于高级别发育异常痣（2.7，p = 0.002）、低级别发育异常痣（1.7，p<0.0001）、非发育异常痣（1.6，p<0.0001）和良性非黑素细胞性病变（2.0，p<0.0001）。分类器评分与临床风险特征数量直接相关（皮尔逊系数0.32，p<0.0001）。
分类器评分与黑色素瘤临床和组织学特征的相关性支持多光谱数字皮肤病变分析在评估需要活检的色素性病变风险方面的有效性。利用多光谱数字皮肤病变分析可能会优化皮肤科医生对可疑色素性病变进行活检的决策结果。
