BACKGROUND AND OBJECTIVES: Mucinous cystic neoplasms and intraductal papillary mucinous tumours have greater malignant potential than serous cystic neoplasms. EUS alone is inadequate for characterising these lesions but the addition of FNA may significantly improve diagnostic accuracy. The performance of EUS-FNA is highly variable in published studies. AIM: To determine the diagnostic accuracy of EUS-FNA to differentiate mucinous versus non-mucinous cystic lesions with cyst fluid analysis for cytology and carcinoembryonic antigen (CEA) by performing a meta-analysis of published studies. METHODS: Relevant studies were identified via structured database search and included if they used a reference standard of definitive surgical histology or clinical follow-up of at least 6 months. Data from selected studies were pooled to give summary sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio and Receiver Operating Characteristic (ROC) curve. Pre-defined subgroup analysis was performed. RESULTS: Eighteen studies (published 2002-2011) were included, with a total of 1438 patients. For cytology, pooled sensitivity was 54(95%CI 49-59)% and specificity 93(90-95)%. The diagnostic odds ratio (DOR) was 13.3 (4.37-49.43), with I(2) of 77.1%. For CEA sensitivity was 63(59-67)% and specificity 88(83-91)%. The DOR was 10.76(6.29-18.41) with an I(2) of 25.4%. The diagnostic accuracy of EUS-FNA was enhanced in prospective studies and studies of <36 months duration. No impact of publication bias on our results was demonstrated. CONCLUSIONS: Fine-needle aspiration has moderate sensitivity but high specificity for mucinous lesions. EUS-FNA, when used in conjunction with cross sectional imaging, is a useful diagnostic tool for the correct identification of mucinous cysts.
BACKGROUND AND OBJECTIVES:Mucinous cystic neoplasms and intraductal papillary mucinous tumours have greater malignant potential than serous cystic neoplasms. EUS alone is inadequate for characterising these lesions but the addition of FNA may significantly improve diagnostic accuracy. The performance of EUS-FNA is highly variable in published studies. AIM: To determine the diagnostic accuracy of EUS-FNA to differentiate mucinous versus non-mucinous cystic lesions with cyst fluid analysis for cytology and carcinoembryonic antigen (CEA) by performing a meta-analysis of published studies. METHODS: Relevant studies were identified via structured database search and included if they used a reference standard of definitive surgical histology or clinical follow-up of at least 6 months. Data from selected studies were pooled to give summary sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio and Receiver Operating Characteristic (ROC) curve. Pre-defined subgroup analysis was performed. RESULTS: Eighteen studies (published 2002-2011) were included, with a total of 1438 patients. For cytology, pooled sensitivity was 54(95%CI 49-59)% and specificity 93(90-95)%. The diagnostic odds ratio (DOR) was 13.3 (4.37-49.43), with I(2) of 77.1%. For CEA sensitivity was 63(59-67)% and specificity 88(83-91)%. The DOR was 10.76(6.29-18.41) with an I(2) of 25.4%. The diagnostic accuracy of EUS-FNA was enhanced in prospective studies and studies of <36 months duration. No impact of publication bias on our results was demonstrated. CONCLUSIONS: Fine-needle aspiration has moderate sensitivity but high specificity for mucinous lesions. EUS-FNA, when used in conjunction with cross sectional imaging, is a useful diagnostic tool for the correct identification of mucinous cysts.
Authors: Tatsuo Hata; Marco Dal Molin; Seung-Mo Hong; Koji Tamura; Masaya Suenaga; Jun Yu; Hiraku Sedogawa; Matthew J Weiss; Christopher L Wolfgang; Anne Marie Lennon; Ralph H Hruban; Michael G Goggins Journal: Clin Cancer Res Date: 2017-02-01 Impact factor: 12.531
Authors: Tatsuo Hata; Marco Dal Molin; Masaya Suenaga; Jun Yu; Meredith Pittman; Matthew Weiss; Marcia I Canto; Christopher Wolfgang; Anne Marie Lennon; Ralph H Hruban; Michael Goggins Journal: Clin Cancer Res Date: 2016-05-26 Impact factor: 12.531