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  • Title: Factors affecting the diagnostic accuracy of endoscopic ultrasonography-guided fine-needle aspiration (EUS-FNA) for upper gastrointestinal submucosal or extraluminal solid mass lesions.
    Author: Rong L, Kida M, Yamauchi H, Okuwaki K, Miyazawa S, Iwai T, Kikuchi H, Watanabe M, Imaizumi H, Koizumi W.
    Journal: Dig Endosc; 2012 Sep; 24(5):358-63. PubMed ID: 22925290.
    Abstract:
    AIM: A number of potential variables are associated with the diagnostic accuracy of endoscopic ultrasonography-guided fine-needle aspiration (EUS-FNA). The aim of this study was to evaluate factors affecting the diagnostic accuracy of EUS-FNA for upper gastrointestinal submucosal or extraluminal solid lesions. METHODS: Patients with such lesions who underwent EUS-FNA between January 2009 and December 2010 were studied retrospectively. Needles of 22, 25 and 19 gauge were used. The associations between the EUS-FNA results and factors such as mass location, mass size, needle size, number of needle passes, combined histologic-cytologic analysis and final diagnosis were analyzed. RESULTS: A total of 170 EUS-FNA procedures were performed in 158 patients with upper gastrointestinal submucosal or extraluminal solid lesions. The overall accuracy of EUS-FNA was 86.5% (147/170). The diagnostic accuracy with three or more needle passes was higher than with less than 3.0 needle passes (90.0%, 108/120 vs 78.0%, 39/50; P < 0.05). Mass location, mass size, and final diagnosis were not associated with EUS-FNA accuracy. Combined cytologic-histologic analysis had significantly higher diagnostic accuracy than either cytologic or histologic analysis alone (P < 0.001). In a subgroup of 90 patients, both 22 and 25 gauge needles were used for EUS-FNA. The overall diagnostic accuracy was similar for 25 gauge needles and 22 gauge needles (80.0% vs 78.9% P = 1.000) in this subgroup. CONCLUSION: Overall, 25 and 22 gauge needles have a similar diagnostic accuracy. Our results suggest that 3.0 or more needle passes and combined cytologic-histologic analysis enhance the diagnostic accuracy of EUS-FNA.
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