Objective validity of the Japan Narrow‐Band Imaging Expert Team classification system for the differential diagnosis of colorectal polyps

• Published in: Digestive endoscopy Vol. 31; no. 5; pp. 544 - 551
• Main Authors: Minoda, Yosuke, Ogino, Haruei, Chinen, Takatoshi, Ihara, Eikichi, Haraguchi, Kazuhiro, Akiho, Hirotada, Takizawa, Nobuyoshi, Aso, Akira, Tomita, Yosuke, Esaki, Mitsuru, Komori, Keishi, Otsuka, Yoshihiro, Iwasa, Tsutomu, Ogawa, Yoshihiro
• Format: Journal Article
• Language: English
• Published: Australia 01-09-2019
• Subjects: colon; Colonic Polyps - classification; Colonic Polyps - diagnostic imaging; Colonoscopy; Diagnosis, Differential; endoscopy; Humans; Japan; JNET; magnification; Narrow Band Imaging - standards; polyp; Sensitivity and Specificity; Japan; colon; JNET; endoscopy; polyp; magnification
• ISSN: 0915-5635; 1443-1661
• DOI: 10.1111/den.13393

Background and Aim
The Japan Narrow‐Band Imaging (NBI) Expert Team (JNET) classification is a recently proposed NBI magnifying endoscopy‐based classification system for colorectal tumors. Although the usefulness of this system has been reported by JNET experts, its objective validity remains unclear. We tested its validity and usefulness for the diagnosis of colorectal polyps by including colonoscopy experts and non‐experts as test participants.
Methods
Forty NBI images of polyps of various JNET types were shown to 22 doctors (11 experts and 11 non‐gastrointestinal [GI] trainees) who had not examined the patients. The doctors diagnosed the polyps based solely on the surface and vessel patterns in the magnified images and the JNET classification system. Concordance rates of their diagnoses with the pathological findings of the polyps were determined, and the results for experts and non‐GI trainees were compared.
Results
Both for colonoscopy experts and non‐GI trainees, the JNET classification system was particularly useful for classifying polyps as benign or malignant. Although the accuracy rates for classifying polyps into each JNET type varied among colonoscopy experts, those who were familiar with the JNET classification system were able to diagnose polyps with approximately 90% accuracy. Common mistakes were attributable to misunderstandings of the wording in the JNET classification chart and lack of proper training.
Conclusion
The JNET classification system is a practical approach for the diagnosis of colorectal polyps. Training is required even for experienced colonoscopists to adopt the system properly. Common pitfalls must be shared among colonoscopists to improve the accuracy of the diagnosis.