通过多光谱数字皮肤病变分析增强黑色素瘤诊断
Enhanced melanoma diagnosis with multispectral digital skin lesion analysis.
作者信息
Farberg Aaron S, Glazer Alex M, Winkelmann Richard R, Tucker Natalie, White Richard, Rigel Darrell S
机构信息
Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Division of Dermatology, University of Arizona, Tucson, USA.
出版信息
Cutis. 2018 May;101(5):338-340.
Multispectral digital skin lesion analysis (MSDSLA) is both sensitive and specific in the detection of malignant melanoma by dermatologists and nondermatologists, and data have shown that MSDSLA can be a valuable tool in the evaluation of pigmented skin lesions (PSLs). This study aimed to aggregate data from 7 prior studies to provide a comprehensive overview and evaluate the consistency of the effects of MSDSLA when used in conjunction with clinical examination and dermoscopy to evaluate PSLs.
多光谱数字皮肤病变分析（MSDSLA）在皮肤科医生和非皮肤科医生检测恶性黑色素瘤方面既敏感又特异，并且数据表明MSDSLA在评估色素性皮肤病变（PSL）时可以成为一种有价值的工具。本研究旨在汇总7项先前研究的数据，以提供全面的概述，并评估MSDSLA与临床检查和皮肤镜检查结合使用时在评估PSL方面效果的一致性。
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