BACKGROUND: 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). OBJECTIVE: To assess the accuracy of K-ras gene mutation analysis for diagnosing PADC. DESIGN: 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. SETTING: Meta-analysis of 8 prospective studies. PATIENTS: Total of 931 patients undergoing EUS-FNA for diagnosis of pancreatic solid masses. INTERVENTION: K-ras mutation analysis. MAIN OUTCOME MEASUREMENTS: 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. RESULTS: 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%. LIMITATIONS: Small number of studies and between-study heterogeneity. CONCLUSION: 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.
BACKGROUND: 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). OBJECTIVE: To assess the accuracy of K-ras gene mutation analysis for diagnosing PADC. DESIGN: 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. SETTING: Meta-analysis of 8 prospective studies. PATIENTS: Total of 931 patients undergoing EUS-FNA for diagnosis of pancreatic solid masses. INTERVENTION: K-ras mutation analysis. MAIN OUTCOME MEASUREMENTS: 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. RESULTS: 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%. LIMITATIONS: Small number of studies and between-study heterogeneity. CONCLUSION: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.
Authors: Leticia Perondi Luz; Mohammad Ali Al-Haddad; Michael Sai Lai Sey; John M DeWitt Journal: World J Gastroenterol Date: 2014-06-28 Impact factor: 5.742
Authors: Lawrence Mj Best; Vishal Rawji; Stephen P Pereira; Brian R Davidson; Kurinchi Selvan Gurusamy Journal: Cochrane Database Syst Rev Date: 2017-04-17
Authors: Joseph R Habib; Yayun Zhu; Lingdi Yin; Ammar A Javed; Ding Ding; Jonathan Tenior; Michael Wright; Syed Z Ali; Richard A Burkhart; William Burns; Christopher L Wolfgang; Eunji Shin; Jun Yu; Jin He Journal: J Gastrointest Surg Date: 2021-07-09 Impact factor: 3.452