Tata Memorial Center, Advanced Center for Treatment, Research and Education in Cancer, Chilakapati L, India.
Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai, India.
J Biomed Opt. 2017 Nov;22(11):1-12. doi: 10.1117/1.JBO.22.11.115003.
Oral premalignant lesions (OPLs) such as leukoplakia, erythroplakia, and oral submucous fibrosis, often precede oral cancer. Screening and management of these premalignant conditions can improve prognosis. Raman spectroscopy has previously demonstrated potential in the diagnosis of oral premalignant conditions (in vivo), detected viral infection, and identified cancer in both oral and cervical exfoliated cells (ex vivo). The potential of Raman exfoliative cytology (REC) in identifying premalignant conditions was investigated. Oral exfoliated samples were collected from healthy volunteers (n=20), healthy volunteers with tobacco habits (n=20), and oral premalignant conditions (n=27, OPL) using Cytobrush. Spectra were acquired using Raman microprobe. Spectral acquisition parameters were: λex: 785 nm, laser power: 40 mW, acquisition time: 15 s, and average: 3. Postspectral acquisition, cell pellet was subjected to Pap staining. Multivariate analysis was carried out using principal component analysis and principal component-linear discriminant analysis using both spectra- and patient-wise approaches in three- and two-group models. OPLs could be identified with ∼77% (spectra-wise) and ∼70% (patient-wise) sensitivity in the three-group model while with 86% (spectra-wise) and 83% (patient-wise) in the two-group model. Use of histopathologically confirmed premalignant cases and better sampling devices may help in development of improved standard models and also enhance the sensitivity of the method. Future longitudinal studies can help validate potential of REC in screening and monitoring high-risk populations and prognosis prediction of premalignant lesions.
口腔癌前病变(如白斑、红斑和口腔黏膜下纤维性变)常发生于口腔癌之前。筛查和管理这些癌前病变可以改善预后。拉曼光谱学在诊断口腔癌前病变(体内)、检测病毒感染以及在口腔和宫颈脱落细胞中识别癌症方面具有一定的潜力(体外)。本研究旨在探讨拉曼脱落细胞学(REC)在识别癌前病变方面的潜力。使用 Cytobrush 从健康志愿者(n=20)、有烟草习惯的健康志愿者(n=20)和口腔癌前病变(n=27,OPL)中采集口腔脱落样本。使用拉曼微探针采集光谱。光谱采集参数为:λex:785nm,激光功率:40mW,采集时间:15s,平均:3。光谱采集后,将细胞沉淀进行巴氏染色。采用主成分分析和主成分线性判别分析对光谱和患者进行多元分析,在三分组和二分组模型中分别采用两种方法。在三分组模型中,OPL 的识别率约为 77%(基于光谱)和 70%(基于患者),在二分组模型中,识别率约为 86%(基于光谱)和 83%(基于患者)。使用组织病理学确诊的癌前病变病例和更好的采样设备可能有助于开发改进的标准模型,并提高该方法的灵敏度。未来的纵向研究可以验证 REC 在筛查和监测高危人群以及预测癌前病变预后方面的潜力。