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Background/Aims Endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) has been accepted as a reliable tool in diagnosing and staging intra-abdominal tumors. In this study, we aimed to investigate the performance of EUS-FNA in the evaluation of liver masses and its impact on patient management and procedure-related complications retrospectively. Methods Data of patients who underwent EUS-FNA biopsies due to liver masses between November 2017 and July 2018 were retrieved retrospectively. Biopsies were performed using 22-G needles. The demographics, EUS-FNA results, sensitivity and specificity of the procedure, negative predictive value, positive predictive value, and specimen sufficiency rates were assessed. Results A total of 25 patients (10 females) were included in the study. The mean age was 62.73±15.2 years. The mean size of the masses was 34.50±16.04 mm. The technical success rate was 88%. During the EUS-FNA procedure, each patient had only one pass with 94.45% of aspirate sufficiency rate and 86.3% of biopsy sufficiency rate. The diagnostic accuracy rate was 86.3%. There were no complications. Conclusions For the evaluation of liver masses, EUS-FNA using a 22-G needle with even one pass had high aspiration and biopsy success rates accompanied with high diagnostic accuracy rates.

Background/Aims Altered anatomy is a challenge in endoscopic retrograde cholangiopancreatography (ERCP) for patients with Billroth II anastomosis. In this study, we investigated the overall success and role of endoscopist experience. Methods Data of patients who underwent ERCP between 2014 and 2018 after a previous Billroth II operation were retrieved retrospectively from 2 tertiary ERCP centers. The procedures were performed by 2 endoscopists with different levels of experience. Clinical success was defined as extraction of the stone, placement of a stent through a malignant stricture, and clinical and laboratory improvements in patients. Result Seventy-five patients were included. The technical success rate was 83% for the experienced endoscopist and 75% for the inexperienced endoscopist (p=0.46). The mean (±standard deviation) procedure time was 23.8±5.7 min for the experienced endoscopist and 40.68±6.07 min for the inexperienced endoscopist (p

Background: Liver biopsy, which is considered the best method for evaluating hepatic fibrosis, has important adverse events. Therefore, non-invasive tests have been developed to determine the degree of hepatic fibrosis in patients with chronic hepatitis B. Aim: To verify the usefulness of a new fibrosis index the globulin/platelet model in patients with chronic hepatitis B and to compare it with other noninvasive tests for predicting significant fibrosis. This study was the second to evaluate the globulin/platelet model in HBV patients. Methods: We retrospectively investigated 228 patients with chronic hepatitis B who performed liver biopsy from 2013 to 2014. The globulin/platelet model, APGA [AST/Platelet/Gamma-glutamyl transpeptidase/Alfa-fetoprotein], FIB4, fibrosis index, cirrhosis discriminate score, and Fibro-quotient were calculated, and the diagnostic accuracies of all of the fibrosis indices were compared between the F0-2 (no-mild fibrosis) and F3-6 (significant fibrosis) groups. Results: All of the noninvasive markers were significantly correlated with the stage of liver fibrosis (p < 0,001). To predict significant fibrosis (F ≥ 3), the area under the curve (95% CI) was found to be greatest for APGA (0.83 [0.74-0.86]), followed by FIB-4 (0.75[0.69-0.80]), the globulin/platelet model (0.74 [0.68-0.79]), fibrosis index (0.72 [0.6-0.78], cirrhosis discriminate score (0.71 [0.64-0.76]) and Fibro-quotient (0.62 [0.55-0.7]). The area under the receiver operating characteristic curves of APGA was significantly higher than that of the other noninvasive fibrosis markers (p < 0.05). Conclusions: While the APGA index was found to be the most valuable test for the prediction significant fibrosis in patients with chronic hepatitis B, GP model was the thirth valuable test. Therefore, we recommended that APGA could be used instead of the GP model for prediction liver fibrosis.