State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, 14 Renmin South Road Third Section, Chengdu, 610041, China.
West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
J Cancer Res Clin Oncol. 2019 Jul;145(7):1811-1821. doi: 10.1007/s00432-019-02934-y. Epub 2019 May 14.
The aim of this review was to systematically evaluate the diagnostic accuracy of Raman spectroscopy (RS) in the identification of nasopharyngeal carcinomas from normal nasopharyngeal tissue.
We searched six databases (PubMed, Embase, Cochrane Library, Web of Science, Scopus and CNKI) up to September 2018 for all published studies that assessed the diagnostic accuracy of RS in the detection of nasopharyngeal carcinomas. Non-qualifying studies were screened out in accordance with the specified exclusion criteria and relevant information about the diagnostic performance of RS extracted. A random effects model was adopted to calculate the pooled sensitivity, specificity, positive and negative likelihood ratios (PLR and NLR, respectively), diagnostic threshold and diagnostic odds ratio (DOR). Additionally, we conducted a summary receiver-operating characteristic (SROC) curve analysis and threshold analysis, reporting area under the curve (AUC) to evaluate the overall performance of RS.
Three studies examined RS analysis in vivo, the pooled sensitivity and specificity of RS of which were 0.90 and 0.91, respectively, with an AUC of 0.9617. Eighteen studies assessed ex vivo samples, for which RS exhibited particularly high accuracy for the analysis of blood plasma.
RS was demonstrated to be a reliable technique for the detection of nasopharyngeal carcinoma with high accuracy, but additional studies are required to improve its performance and expand its application in ex vivo detection.
本综述旨在系统评估拉曼光谱（RS）在鉴别鼻咽正常组织与鼻咽癌中的诊断准确性。
我们检索了六个数据库（PubMed、Embase、Cochrane Library、Web of Science、Scopus 和中国知网），以获取所有评估 RS 检测鼻咽癌诊断性能的已发表研究。根据指定的排除标准筛选出不合格的研究，并提取 RS 诊断性能的相关信息。采用随机效应模型计算汇总敏感度、特异度、阳性和阴性似然比（PLR 和 NLR）、诊断界值和诊断比值比（DOR）。此外，我们进行了汇总受试者工作特征（SROC）曲线分析和界值分析，报告曲线下面积（AUC）以评估 RS 的整体性能。
三项研究检测了体内 RS 分析，其 RS 的汇总敏感度和特异度分别为 0.90 和 0.91，AUC 为 0.9617。18 项研究评估了离体样本，RS 对血浆分析具有特别高的准确性。
RS 是一种可靠的鼻咽癌检测技术，具有较高的准确性，但需要进一步研究以提高其性能并扩展其在离体检测中的应用。
