Clinical impact of atypical endoscopic features in XXXX .

@entity1 @entity5 @entity1600 @entity8799
AIM: To validate the association between atypical endoscopic features and @entity1600 ( @entity1600 ). METHODS: A total of 247 @entity1 with @entity8799 (NETs) were analyzed. Endoscopic images were reviewed independently by two endoscopists, each of whom classified @entity5 by sized and endoscopic features, such as shape, color, and surface change (kappa coefficient 0.76 for inter-observer agreement). All of @entity1 underwent computed tomography scans of abdomen and pelvis for evaluation of @entity1600 . Univariate and multivariate analyses were performed to identify the factors associated with @entity1600 . Additionally, the association between endoscopic atypical features and immunohistochemical staining of @entity5 was analyzed. RESULTS: Of 247 @entity1 , 156 (63.2%) were male and 15 (6.1%) were showed positive for @entity1600 . On univariate analysis, @entity5 size (P < 0.001), shape (P < 0.001), color (P < 0.001) and surface changes (P < 0.001) were significantly associated with @entity1600 . On multivariate analysis, @entity5 size (OR = 11.53, 95%CI: 2.51-52.93, P = 0.002) and atypical surface (OR = 27.44, 95%CI: 5.96-126.34, P < 0.001) changes were independent risk factors for @entity1600 . The likelihood of atypical endoscopic features increased as @entity5 size increased. Atypical endoscopic features were associated with @entity1600 in rectal NETs < 10 mm (P = 0.005) and 10-19 mm (P = 0.041) in diameter. Immunohistochemical staining showed that the rate of atypical endoscopic features was higher in non L-cell @entity5 . CONCLUSION: Atypical endoscopic features as well as @entity5 size are predictive factors of @entity1600 in @entity1 with rectal NETs.
