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定量多光谱成像鉴别黑色素瘤与脂溢性角化病。

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis.

作者信息

Bozsányi Szabolcs, Farkas Klára, Bánvölgyi András, Lőrincz Kende, Fésűs Luca, Anker Pálma, Zakariás Sára, Jobbágy Antal, Lihacova Ilze, Lihachev Alexey, Lange Marta, Bliznuks Dmitrijs, Medvecz Márta, Kiss Norbert, Wikonkál Norbert M

机构信息

Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary.

Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, LV-1004 Riga, Latvia.

出版信息

Diagnostics (Basel). 2021 Jul 22;11(8):1315. doi: 10.3390/diagnostics11081315.

Abstract

Melanoma is a melanocytic tumor that is responsible for the most skin cancer-related deaths. By contrast, seborrheic keratosis (SK) is a very common benign lesion with a clinical picture that may resemble melanoma. We used a multispectral imaging device to distinguish these two entities, with the use of autofluorescence imaging with 405 nm and diffuse reflectance imaging with 525 and 660 narrow-band LED illumination. We analyzed intensity descriptors of the acquired images. These included ratios of intensity values of different channels, standard deviation and minimum/maximum values of intensity of the lesions. The pattern of the lesions was also assessed with the use of particle analysis. We found significantly higher intensity values in SKs compared with melanoma, especially with the use of the autofluorescence channel. Moreover, we found a significantly higher number of particles with high fluorescence in SKs. We created a parameter, the SK index, using these values to differentiate melanoma from SK with a sensitivity of 91.9% and specificity of 57.0%. In conclusion, this imaging technique is potentially applicable to distinguish melanoma from SK based on the analysis of various quantitative parameters. For this application, multispectral imaging could be used as a screening tool by general physicians and non-experts in the everyday practice.

摘要

黑色素瘤是一种黑素细胞肿瘤,在与皮肤癌相关的死亡中占比最高。相比之下,脂溢性角化病(SK)是一种非常常见的良性病变,其临床表现可能与黑色素瘤相似。我们使用多光谱成像设备来区分这两种病变,采用405nm的自发荧光成像以及525和660窄带LED照明的漫反射成像。我们分析了采集图像的强度描述符。这些包括不同通道强度值的比率、病变强度的标准差和最小值/最大值。还使用颗粒分析评估了病变的模式。我们发现,与黑色素瘤相比,SK的强度值显著更高,尤其是在使用自发荧光通道时。此外,我们发现在SK中具有高荧光的颗粒数量显著更多。我们利用这些值创建了一个参数,即SK指数,用于区分黑色素瘤和SK,其灵敏度为91.9%,特异性为57.0%。总之,这种成像技术有可能基于各种定量参数的分析来区分黑色素瘤和SK。对于这种应用,多光谱成像可被普通医生和非专业人员用作日常实践中的筛查工具。

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