Venugopal C, Nazeer Shaiju S, Balan Anita, Jayasree R S
1 Department of Oral Medicine and Radiology, Dental College , Trivandrum, Kerala, India .
Photomed Laser Surg. 2013 Dec;31(12):605-12. doi: 10.1089/pho.2013.3547. Epub 2013 Nov 19.
Oral leukoplakia is one of the common potentially malignant lesions encountered worldwide. We report the results of an in vivo clinical evaluation of autofluorescence (AF) spectroscopy for differential diagnosis of oral leukoplakia. Multivariate analysis of spectral data has been incorporated to improve the efficacy of the technique. The results of this noninvasive study are expected to provide potential for extending the technique to other disorders.
A total of 18 patients and 30 normal volunteers participated in this study. AF spectra were acquired from affected sites of patients and from right and left buccal mucosa of normal volunteers. Diagnostic performance was analyzed using spectral intensity ratio (SIR), and principal component analysis followed by linear discriminant analysis (PCA-LDA).
AF spectra of leukoplakic patients showed characteristic emissions from flavin adenine dinucleotide (FAD) and porphyrin at 500 and 630 nm, respectively. But the emission from porphyrin is not very prominent in the case of healthy volunteers. Also, significant decrease in spectral intensity is observed for leukoplakia compared with normal volunteers in the unprocessed spectra. Method of SIR yielded 96% sensitivity and 100% specificity and an overall 100% for PCA-LDA respectively for efficient differentiation of the lesions.
The result of this preliminary study shows that PCA-LDA or SIR applied to AF spectroscopy is a useful tool for the differential diagnosis of oral cavity disorders. This has been demonstrated in leukoplakia in a clinical setting, and it is expected that the technique can be extended to other oral cavity disorders as well.
口腔白斑是全球常见的潜在恶性病变之一。我们报告了一项关于自体荧光(AF)光谱用于口腔白斑鉴别诊断的体内临床评估结果。已纳入光谱数据的多变量分析以提高该技术的效能。这项非侵入性研究的结果有望为将该技术扩展到其他疾病提供可能性。
共有18名患者和30名正常志愿者参与了本研究。从患者的患病部位以及正常志愿者的左右颊黏膜获取AF光谱。使用光谱强度比(SIR)以及主成分分析后进行线性判别分析(PCA-LDA)来分析诊断性能。
白斑患者的AF光谱分别在500和630nm处显示出黄素腺嘌呤二核苷酸(FAD)和卟啉的特征发射。但在健康志愿者中,卟啉的发射不是很明显。此外,在未处理的光谱中,与正常志愿者相比,白斑的光谱强度明显降低。SIR方法分别产生了96%的灵敏度和100%的特异性,PCA-LDA的总体准确率为100%,用于有效区分病变。
这项初步研究的结果表明,应用于AF光谱的PCA-LDA或SIR是口腔疾病鉴别诊断的有用工具。这已在临床环境中的白斑病中得到证实,并且预计该技术也可扩展到其他口腔疾病。