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Real-time raman spectroscopy for in vivo skin cancer diagnosis

机译:实时拉曼光谱用于体内皮肤癌诊断

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摘要

Raman spectroscopy is a noninvasive optical technique capable of measuring vibrational modes of biomolecules within viable tissues. In this study, we evaluated the application of an integrated real-time system of Raman spectroscopy for in vivo skin cancer diagnosis. Benign and malignant skin lesions (n = 518) from 453 patients were measured within 1 second each, including melanomas, basal cell carcinomas, squamous cell carcinomas, actinic keratoses, atypical nevi, melanocytic nevi, blue nevi, and seborrheic keratoses. Lesion classification was made using a principal component with general discriminant analysis and partial least-squares in three distinct discrimination tasks: skin cancers and precancers from benign skin lesions [receiver operating characteristic (ROC)=0.879]; melanomas from nonmelanoma pigmented lesions (ROC=0.823); and melanomas from seborrheic keratoses (ROC=0.898). For sensitivities between 95% and 99%, the specificities ranged between 15% and 54%. Our findings establish that real-time Raman spectroscopy can be used to distinguish malignant from benign skin lesions with good diagnostic accuracy comparable with clinical examination and other optical-based methods.
机译:拉曼光谱法是一种非侵入性的光学技术,能够测量活组织内生物分子的振动模式。在这项研究中,我们评估了拉曼光谱综合实时系统在体内皮肤癌诊断中的应用。分别在1秒钟内对453名患者的良性和恶性皮肤病变(n = 518)进行了测量,包括黑色素瘤,基底细胞癌,鳞状细胞癌,光化性角化病,非典型性痣,黑素细胞性痣,蓝色痣和脂溢性角化病。病灶的分类使用具有主要判别分析的主成分和偏最小二乘来完成的三个不同的判别任务:皮肤癌和良性皮肤病的癌前病变[受体工作特征(ROC)= 0.879];来自非黑色素瘤色素病变的黑色素瘤(ROC = 0.823);和脂溢性角化病的黑色素瘤(ROC = 0.898)。对于介于95%和99%之间的灵敏度,特异性介于15%和54%之间。我们的研究结果表明,实时拉曼光谱可用于区分恶性与良性皮肤病变,具有与临床检查和其他基于光学的方法相媲美的良好诊断准确性。

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