Tobacco Consumption Induced Changes in the Healthy Oral Mucosa and its Effect on Differential Diagnosis of Oral Lesions – A Clinical In Vivo Raman Spectroscopic Study

Hemant Krishna, S. Muttagi, Pranav D Ingole, P. Chaturvedi, S. Majumder
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引用次数: 1

Abstract

Objective : To investigate tobacco consumption induced changes in the in vivo Raman spectra of oral mucosa of healthy volunteers and to study its effect on the differential diagnosis of oral lesions. Materials and Methods : The clinical in vivo study involved 28 healthy volunteers and 171 patients having malignant and potentially malignant lesions of the oral cavity. Twenty of the healthy volunteers had habits of either smoking and/or of chewing tobacco while the rest did not have any tobacco consumption habits. The in vivo Raman spectra were measured using a compact and portable near-infrared Raman spectroscopic system. A probability based multi-class diagnostic algorithm, developed for supervised classification, was employed to classify the whole set of measured tissue Raman spectra into various categories. Results : It was found that the Raman spectra of healthy volunteers with tobacco consumption habits could be separated from the spectra of those without any habit of tobacco consumption with an accuracy of over 95%. Further, it was found that exclusion of the spectral data of the oral cavity of the healthy volunteers from the reference normal database considerably improved the overall classification accuracy (92.3% as against 86%) of the algorithm in separing the oral lesions from the normal oral mucosa. Conclusion : The results of the clinical study demonstrate the potential of Raman spectroscopy in screening tobacco users who are at an increased risk of developing dysplasia or malignancy. Further, the results also show that for accurate discrimination of oral lesions based on their Raman spectra, the reference normal database should exclude spectral data of tobacco using healthy subjects.
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烟草消费引起的健康口腔黏膜变化及其对口腔病变鉴别诊断的影响——临床体内拉曼光谱研究
目的:探讨吸烟对健康志愿者口腔黏膜拉曼光谱的影响,并探讨其对口腔病变鉴别诊断的作用。材料与方法:28名健康志愿者和171例口腔恶性及潜在恶性病变患者参与了临床体内研究。其中20名健康志愿者有吸烟和/或嚼烟的习惯,而其余的人没有任何烟草消费习惯。使用紧凑便携的近红外拉曼光谱系统测量体内拉曼光谱。采用基于概率的多类诊断算法,对组织拉曼光谱进行分类。结果:有烟草消费习惯的健康志愿者的拉曼光谱与无烟草消费习惯的健康志愿者的拉曼光谱可以分离,准确率在95%以上。此外,我们还发现,将健康志愿者的口腔光谱数据从参考正常数据库中剔除后,该算法在口腔病变与正常口腔黏膜分离方面的总体分类准确率(92.3%对86%)显著提高。结论:临床研究结果表明,拉曼光谱在筛查患发育不良或恶性肿瘤风险增加的烟草使用者方面具有潜力。此外,研究结果还表明,为了根据口腔病变的拉曼光谱准确区分口腔病变,参考正常数据库应排除健康受试者吸烟的光谱数据。
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