Popecki Paweł, Kozakiewicz Marcin, Ziętek Marcin, Jurczyszyn Kamil
Department of Oral Surgery, Wroclaw Medical University, Krakowska 26, 50-425 Wroclaw, Poland.
Department of Maxillofacial Surgery, Medical University of Lodz, 113 S. Zeromski Street, 90-549 Lodz, Poland.
Life (Basel). 2022 Jul 7;12(7):1008. doi: 10.3390/life12071008.
Clinical diagnosis of pigmented lesions can be a challenge in everyday practice. Benign and dysplastic nevi and melanomas may have similar clinical presentations, but completely different prognoses. Fractal dimensions of shape and texture can describe the complexity of the pigmented lesion structure. This study aims to apply fractal dimension analysis to differentiate melanomas, dysplastic nevi, and benign nevi in polarized and non-polarized light. A total of 87 Eighty-four patients with 97 lesions were included in this study. All examined lesions were photographed under polarized and non-polarized light, surgically removed, and examined by a histopathologist to establish the correct diagnosis. The obtained images were then processed and analyzed. Area, perimeter, and fractal dimensions of shape and texture were calculated for all the lesions under polarized and non-polarized light. The fractal dimension of shape in polarized light enables differentiating melanomas, dysplastic nevi, and benign nevi. It also makes it possible to distinguish melanomas from benign and dysplastic nevi under non-polarized light. The fractal dimension of texture allows distinguishing melanomas from benign and dysplastic nevi under polarized light. All examined parameters of shape and texture can be used for developing an automatic computer-aided diagnosis system. Polarized light is superior to non-polarized light for imaging texture details.
在日常临床实践中，色素沉着病变的临床诊断可能具有挑战性。良性、发育异常痣和黑色素瘤可能具有相似的临床表现，但预后却截然不同。形状和纹理的分形维数可以描述色素沉着病变结构的复杂性。本研究旨在应用分形维数分析在偏振光和非偏振光下区分黑色素瘤、发育异常痣和良性痣。本研究共纳入了84例患者的97个病变。所有检查的病变均在偏振光和非偏振光下拍照，手术切除，并由组织病理学家进行检查以确定正确诊断。然后对获得的图像进行处理和分析。计算了所有病变在偏振光和非偏振光下的面积、周长以及形状和纹理的分形维数。偏振光下形状的分形维数能够区分黑色素瘤、发育异常痣和良性痣。在非偏振光下也能够将黑色素瘤与良性和发育异常痣区分开来。纹理的分形维数能够在偏振光下区分黑色素瘤与良性和发育异常痣。所有检查的形状和纹理参数均可用于开发自动计算机辅助诊断系统。偏振光在成像纹理细节方面优于非偏振光。
