疑似黑色素细胞病变及其周围健康皮肤的体内拉曼光谱和荧光研究。

IF 2 3区 物理与天体物理 Q3 BIOCHEMICAL RESEARCH METHODS
Di Wu, Anatoly Fedorov Kukk, Rüdiger Panzer, Steffen Emmert, Bernhard Roth
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引用次数: 0

摘要

皮肤黑色素瘤是致死率最高的皮肤癌,如何将其与良性肿瘤进行无创鉴别是一项重大挑战。我们对来自 47 名患者的 65 个疑似黑色素细胞病变和周围健康皮肤进行了拉曼光谱测量。与健康皮肤的光谱相比,黑色素细胞病变的光谱显示类胡萝卜素带的强度较低,而脂质和黑色素带的强度较高,这表明这些成分的含量存在类似的变化。健康皮肤、良性痣和恶性黑色素瘤的自发荧光强度之间也存在明显差异。加入自体荧光信息后,支持向量机对健康皮肤、痣和黑色素瘤光谱的分类准确率达到了 90.2%,超过了没有加入自体荧光信息时的 87.9%,这一差异具有显著的统计学意义。这些发现表明了自发荧光强度的诊断价值,它反映了健康皮肤、痣和黑色素瘤之间荧光团含量、化学成分和结构的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

In vivo Raman spectroscopic and fluorescence study of suspected melanocytic lesions and surrounding healthy skin

In vivo Raman spectroscopic and fluorescence study of suspected melanocytic lesions and surrounding healthy skin

Cutaneous melanoma is the most lethal skin cancer and noninvasively distinguishing it from benign tumor is a major challenge. Raman spectroscopic measurements were conducted on 65 suspected melanocytic lesions and surrounding healthy skin from 47 patients. Compared to the spectra of healthy skin, spectra of melanocytic lesions exhibited lower intensities in carotenoid bands and higher intensities in lipid and melanin bands, suggesting similar variations in the content of these components. Distinct variations were observed among the autofluorescence intensities of healthy skin, benign nevi and malignant melanoma. By incorporating autofluorescence information, the classification accuracy of the support vector machine for spectra of healthy skin, nevi, and melanoma reached 90.2%, surpassing the 87.9% accuracy achieved without autofluorescence, with this difference being statistically significant. These findings indicate the diagnostic value of autofluorescence intensity, which reflect differences in fluorophore content, chemical composition, and structure among healthy skin, nevi, and melanoma.

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来源期刊
Journal of Biophotonics
Journal of Biophotonics 生物-生化研究方法
CiteScore
5.70
自引率
7.10%
发文量
248
审稿时长
1 months
期刊介绍: The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.
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