Analytical and dimensional morphometry in early diagnosis cutaneous melanoma with dermoscopic images.

Rosalia Ricco, Teresa Lettini, Nicola Arpaia, Tiziana Valente, Giuseppe Ingravallo, Maria Lucia Vurro, Raffaella De Pascalis, Vittorio Pesce Delfino
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引用次数: 0

Abstract

Objective: To give to the clinician an objective numerical assessment tool to evaluate melanomas so that a diagnosis can be reached with the assistance of computerized procedures.

Study design: The approach adopted for differential diagnosis of melanomas and nevi considers diverse morphologic characteristics intrinsic to the lesions, that is, shape, size, and symmetry in total independence of pigmentation, and proposes that this information can be evaluated quantitatively and separately by morphometric procedures with statistically valid independent numeric variables that guarantee objectivity and, from a method point of view, consistency.

Results: The results show that the differential diagnosis on malignant and benign lesions is made on five variables, which all describe the fine irregularities of the contour and have a high significance in comparing melanomas to nevi.

Conclusion: The multivariate discriminant analysis demonstrates the ability of the analytic variables to discriminate 88% of the lesions, rising to 90% if two-dimensional variables are included.

皮肤镜图像在早期诊断皮肤黑色素瘤中的分析和量纲形态测定。
目的:为临床医生提供一个客观的数字评估工具来评估黑色素瘤,以便在计算机程序的帮助下进行诊断。研究设计:黑素瘤和痣的鉴别诊断采用的方法考虑了病变固有的多种形态特征,即完全独立于色素沉着的形状、大小和对称性,并提出这些信息可以通过具有统计有效的独立数值变量的形态测量程序进行定量和单独评估,从方法的角度来看,这些变量保证了客观性和一致性。结果:对良恶性病变的鉴别诊断是基于5个变量,这5个变量均描述了轮廓的细微不规则性,对黑素瘤与痣的比较具有较高的意义。结论:多变量判别分析表明,分析变量对病变的判别能力为88%,如果包括二维变量,则可提高到90%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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