Multispectral autoflourescence detection of skin neoplasia using steady-state techniques

E. Borisova, A. Gisbrecht, Tsanislava Genova-Hristova, P. Troyanova, E. Pavlova, N. Penkov, I. Bratchenko, V. Zakharov, Ilze Lihachova, I. Kuzmina, J. Spigulis
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引用次数: 6

Abstract

In the current study were used excitation-emission matrices (EEMs) and synchronous fluorescence spectroscopy (SFS) steady-state techniques in a broad spectral regions (excitation at 220-500 nm and emission at 280-850 nm) to achieve the whole set of endogenous fluorophores, existed in normal and neoplastic cutaneous tissues. Several types of benign, dysplastic and malignant types of skin lesions were investigated ex vivo using both EEM and SFS modalities, namely the basal cell papilloma and carcinoma, pigmented nevi, dysplastic nevi, squamous cell carcinoma and malignant melanoma. Histological analysis was used as a “gold standard” for evaluation of clinical diagnosis of the lesions investigated. Comparison with the normal skin tissue spectral data was made, based on the signals detected from the safety margins areas of the surgically excised tumours. EEM and SFS data reveal statistically significant differences between variety of benign, dysplastic and malignant lesions, which could be used as fingerprints, applicable for differentiation algorithms. In a few of malignancies endogenous porphyrins signals were even observed, but in general the fluorescence signals were addressed to the coenzymes, such as NADH, flavins; structural proteins, such as collagen, elastin and their cross-links, as well as keratin in the case of basal cell lesions. Pigments, such as hemoglobin and melanin distorted the signal due to intrinsic fluorophores signal reabsorption, what has to be taken into account when the algorithms for discrimination of the pathology types are developed.
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使用稳态技术的多光谱自体荧光检测皮肤肿瘤
本研究利用广谱区(220-500 nm激发,280-850 nm发射)的激发-发射矩阵(EEMs)和同步荧光光谱(SFS)稳态技术,获得了存在于正常和肿瘤皮肤组织中的全套内源性荧光团。在体外使用EEM和SFS方法研究了几种类型的良性、发育不良和恶性皮肤病变,即基底细胞乳头状瘤和癌、色素痣、发育不良痣、鳞状细胞癌和恶性黑色素瘤。组织学分析被用作评估所调查病变临床诊断的“金标准”。根据从手术切除肿瘤的安全边缘区域检测到的信号,与正常皮肤组织光谱数据进行比较。EEM和SFS数据显示各种良性、发育不良和恶性病变之间存在统计学差异,可以作为指纹,适用于鉴别算法。在一些恶性肿瘤中甚至观察到内源性卟啉信号,但一般荧光信号是针对辅酶,如NADH,黄素;结构蛋白,如胶原蛋白,弹性蛋白及其交联,以及角蛋白在基底细胞病变的情况下。色素,如血红蛋白和黑色素,由于固有的荧光团信号重吸收而扭曲了信号,这是在开发病理类型区分算法时必须考虑的问题。
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