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Minoda Y, Ogino H, Chinen T, Ihara E, Haraguchi K, Akiho H, Takizawa N, Aso A, Tomita Y, Esaki M, Komori K, Otsuka Y, Iwasa T, Ogawa Y. Objective validity of the Japan Narrow-Band Imaging Expert Team classification system for the differential diagnosis of colorectal polyps. Dig Endosc 2019; 31:544-551. [PMID: 30861599 DOI: 10.1111/den.13393] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 03/05/2019] [Indexed: 01/14/2023]
Abstract
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.
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Affiliation(s)
- Yosuke Minoda
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Haruei Ogino
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takatoshi Chinen
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Eikichi Ihara
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kazuhiro Haraguchi
- Department of Gastroenterology, Harasanshin General Hospital, Fukuoka, Japan
| | - Hirotada Akiho
- Department of Gastroenterology, Kitakyushu Municipal Medical Center, Fukuoka, Japan
| | - Nobuyoshi Takizawa
- Department of Gastroenterology, Harasanshin General Hospital, Fukuoka, Japan
| | - Akira Aso
- Department of Gastroenterology, Kitakyushu Municipal Medical Center, Fukuoka, Japan
| | - Yosuke Tomita
- Department of Gastroenterology, Harasanshin General Hospital, Fukuoka, Japan
| | - Mitsuru Esaki
- Department of Gastroenterology, Kitakyushu Municipal Medical Center, Fukuoka, Japan
| | - Keishi Komori
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshihiro Otsuka
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tsutomu Iwasa
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshihiro Ogawa
- Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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