Endoscopic diagnosis of early upper gastrointestinal (GI) neoplasia comprises two steps: detection and characterization. 1 Magnifying endoscopy with narrow-band imaging (M-NBI) is more useful than conventional white-light imaging (C-WLI) for detecting and/or characterizing early GI neoplasia in the oropharynx, esophagus, stomach, and duodenum. [2][3][4][5] The key findings reported and the methods for detection and characterization differ depending on the organ. In the oropharynx and esophagus, a well-demarcated brownish area on nonmagnifying endoscopy with NBI is a marker for detecting early squamous cell carcinoma, and an irregular microvascular pattern is a marker of characterization on M-NBI. 2 Since the usefulness of nonmagnifying endoscopy with NBI remains unclear, C-WLI is used for detecting early gastric cancer (EGC). 3 Although the endoscopic diagnostic criteria for EGC using C-WLI has not been established, we proposed criteria for characterization termed color plus surface (CS) classification system. 4 Based on this system, the criteria for EGC using C-WLI are as follows: (i) the presence of irregularity in color within a well-demarcated area; and/or (ii) the presence of irregularity in the surface within a well-demarcated area. 1,4 When these criteria were applied to screening endoscopy for high-risk patients, the sensitivity and specificity for diagnosing EGC were 80.0% and 88.0%, respectively. 3 When the vessel plus surface (VS) classification system was applied to M-NBI for diagnosing EGC after detecting suspicious lesions, the sensitivity and specificity increased up to 99.4% and 100%, respectively, with high confidence prediction if a proper algorithm considering the limitations of M-NBI is used. 6 No specific reports have described the diagnostic performance of C-WLI in detecting superficial nonampullary duodenal epithelial tumors (SNADETs). However, M-NBI can be a powerful tool for the characterization of SNADET, with a sensitivity and specificity of 88.4% and 98.4%, respectively, for differentiating between neoplasia and nonneoplasia according to an algorithm. 5 According to the VS classification system for nonbiopsied lesions, the sensitivity and specificity of M-NBI were 95% and 70%, respectively, for