NHS Forth Valley, Forth Valley Royal Hospital, UK.
NHS GGC, Queen Elizabeth University Hospital, UK.
Evid Based Dent. 2022 Mar;23(1):16-17. doi: 10.1038/s41432-022-0252-0. Epub 2022 Mar 25.
Study selection Two electronic databases (Medline/PubMed and Embase) were searched up to 30 August 2020. Selected papers fitted the following criteria: human studies published in the English language that assessed adult patients over the age of 18 with a presumptive diagnosis of an oral potentially malignant disorder, oral cancer or oropharyngeal cancer. The studies compared either visual inspection or light-based tests with diagnostic biopsy of the lesions. The outcome measures identified were: sensitivity, specificity, summary receiver operating characteristic curve (SROC), positive predictive value (PPV) and negative predictive value (NPV).Data extraction and synthesis The extraction of data followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline process. Two independent reviewers selected articles via PubMed search, and a further two independent reviewers selected articles via an Embase search. The quantitative data obtained from each study was used to create a database that recorded information on sensitivity, specificity, accuracy, PPV and NPV. Additionally, the value of true positive (VP), false positive (FP), true negative (VN) and false negative (FN) were extracted from each study. In cases where these were not reported, an estimate was calculated. The quality of diagnostic precision studies (QUADAS-2) tool was used to rate the quality of studies as high, unclear, or low.Results A total of 40 papers were ultimately included within the meta-analysis with 5,562 samples of autofluorescence, 1,353 samples of chemiluminescence and 1,892 samples of clinical examination. The majority of the studies evaluating chemiluminescence used the ViziLite technique while most of the studies evaluating autofluorescence used the VELscope. The QUADAS-2 pointed to most of the studies included in this review being of good quality. Clinical examination had the highest specificity (0.78-95% CI [0.65-0.87]) for declaring mucosa to be normal in the absence of dysplasia and malignancy, but had the lowest sensitivity (0.63-95% CI [0.45-0.78]) of actually diagnosing sinister lesions. Autofluorescence more accurately identified premalignant and malignant changes (sensitivity = 0.86 95% CI [0.77-0.91]) compared with chemiluminescence (sensitivity = 0.67 95% CI [0.38-0.87]) and visual examination (sensitivity = 0.63 95% CI [0.45-0.78]). Autofluorescence was also faster and simpler to use compared with chemiluminescence.Conclusions This review and meta-analysis concludes that autofluorescence has greater accuracy in identifying premalignant and early neoplastic changes compared with clinical examination and chemiluminescence. Biopsy remains the gold standard for definitive diagnosis of oropharyngeal and oral premalignant and malignant conditions.
研究选择 两个电子数据库(Medline/PubMed 和 Embase)被搜索至 2020 年 8 月 30 日。选择的论文符合以下标准:评估年龄在 18 岁以上的疑似口腔潜在恶性疾病、口腔癌或口咽癌的成年患者的人类研究,以英文发表。研究比较了病变的目视检查或基于光的测试与诊断性活检。确定的结果测量指标包括:敏感性、特异性、总结受试者工作特征曲线(SROC)、阳性预测值(PPV)和阴性预测值(NPV)。数据提取和综合 数据提取遵循系统评价和荟萃分析的首选报告项目(PRISMA)指南流程。两名独立的审稿人通过 PubMed 搜索选择文章,另外两名独立的审稿人通过 Embase 搜索选择文章。从每项研究中获得的定量数据用于创建一个记录敏感性、特异性、准确性、PPV 和 NPV 信息的数据库。此外,从每项研究中提取了真阳性(VP)、假阳性(FP)、真阴性(VN)和假阴性(FN)的值。在未报告这些值的情况下,进行了估算。诊断精度研究的 QUADAS-2 工具用于评估研究质量为高、不确定或低。结果 共有 40 篇论文最终纳入荟萃分析,其中自动荧光 5562 例,化学发光 1353 例,临床检查 1892 例。评估化学发光的大多数研究使用了 ViziLite 技术,而评估自动荧光的大多数研究使用了 VELscope。QUADAS-2 指出,本综述中纳入的大多数研究质量都很好。临床检查在没有发育不良和恶性的情况下,对宣布黏膜正常具有最高的特异性(0.78-95%CI[0.65-0.87]),但实际诊断险恶病变的敏感性最低(0.63-95%CI[0.45-0.78])。与化学发光(敏感性=0.67 95%CI[0.38-0.87])和目视检查(敏感性=0.63 95%CI[0.45-0.78])相比,自动荧光更准确地识别了癌前和恶性病变。自动荧光比化学发光(敏感性=0.86 95%CI[0.77-0.91])更快、更简单。结论 本综述和荟萃分析得出的结论是,与临床检查和化学发光相比,自动荧光在识别癌前和早期肿瘤性变化方面具有更高的准确性。活检仍然是口咽和口腔癌前和恶性病变的金标准诊断方法。