Department of Medical and Surgical Sciences, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.
Gastrointest Endosc. 2013 Oct;78(4):596-608. doi: 10.1016/j.gie.2013.04.162. Epub 2013 May 6.
Differential diagnosis of pancreatic solid masses with EUS-guided FNA (EUS-FNA) is still challenging in about 15% of cases. Mutation of the K-ras gene is present in over 75% of pancreatic adenocarcinomas (PADC).
To assess the accuracy of K-ras gene mutation analysis for diagnosing PADC.
We systematically searched the electronic databases for relevant studies published. Data from selected studies underwent meta-analysis by use of a bivariate model providing a pooled value for sensitivity, specificity, diagnostic odds ratio, and summary receiver operating characteristic curve.
Meta-analysis of 8 prospective studies.
Total of 931 patients undergoing EUS-FNA for diagnosis of pancreatic solid masses.
K-ras mutation analysis.
Diagnostic accuracy of K-ras mutation analysis and of combined diagnostic strategy by using EUS-FNA and K-ras mutation analysis in the diagnosis of PADC.
The pooled sensitivity of EUS-FNA for the differential diagnosis of PADC was 80.6%, and the specificity was 97%. Estimated sensitivity and specificity were 76.8% and 93.3% for K-ras gene analysis, respectively, and 88.7% and 92% for combined EUS-FNA plus K-ras mutation analysis. Overall, K-ras mutation testing applied to cases that were inconclusive by EUS-FNA reduced the false-negative rate by 55.6%, with a false-positive rate of 10.7%. Not repeating EUS-FNA in cases in which mutation testing of the K-ras gene is inconclusive would reduce the repeat-biopsy rate from 12.5% to 6.8%.
Small number of studies and between-study heterogeneity.
K-ras mutation analysis can be useful in the diagnostic work-up of pancreatic masses, in particular when tissue obtained by EUS-FNA is insufficient, and the diagnosis inconclusive.
EUS-FNA(超声内镜引导下细针穿刺抽吸活检术)鉴别胰腺实性肿块仍有 15%左右的挑战。K-ras 基因突变存在于超过 75%的胰腺腺癌(PADC)中。
评估 K-ras 基因突变分析诊断 PADC 的准确性。
我们系统地检索了电子数据库中已发表的相关研究。选择的研究数据进行了荟萃分析,使用双变量模型提供敏感性、特异性、诊断优势比和汇总受试者工作特征曲线的汇总值。
8 项前瞻性研究的荟萃分析。
共 931 例接受 EUS-FNA 诊断胰腺实性肿块的患者。
K-ras 基因突变分析。
K-ras 基因突变分析的诊断准确性,以及 EUS-FNA 和 K-ras 基因突变分析联合诊断策略在 PADC 诊断中的应用。
EUS-FNA 对 PADC 的鉴别诊断的敏感性为 80.6%,特异性为 97%。K-ras 基因分析的估计敏感性和特异性分别为 76.8%和 93.3%,EUS-FNA 联合 K-ras 基因突变分析的敏感性和特异性分别为 88.7%和 92%。总体而言,应用于 EUS-FNA 结果不确定的病例的 K-ras 基因突变检测将假阴性率降低了 55.6%,假阳性率为 10.7%。在 K-ras 基因突变检测结果不确定的病例中不重复进行 EUS-FNA,可以将重复活检率从 12.5%降低到 6.8%。
研究数量少且存在研究间异质性。
K-ras 基因突变分析可用于胰腺肿块的诊断,特别是在 EUS-FNA 获得的组织不足且诊断不确定时。