Colonoscopy plays an important role in reducing the incidence and mortality of colorectal cancer by detecting adenomas and other precancerous lesions. Image-enhanced endoscopy (IEE) increases lesion visibility by enhancing the microstructure, blood vessels, and mucosal surface color, resulting in the detection of colorectal lesions. In recent years, various IEE techniques have been used in clinical practice, each with its unique characteristics. Numerous studies have reported the effectiveness of IEE in the detection of colorectal lesions. IEEs can be divided into two broad categories according to the nature of the image: images constructed using narrowband wavelength light, such as narrowband imaging and blue laser imaging/blue light imaging, or color images based on white light, such as linked color imaging, texture and color enhancement imaging, and i-scan. Conversely, artificial intelligence (AI) systems, such as computer-aided diagnosis systems, have recently been developed to assist endoscopists in detecting colorectal lesions during colonoscopy. To better understand the features of each IEE, this review presents the effectiveness of each type of IEE and their combination with AI for colorectal lesion detection by referencing the latest research data.
Citations
Citations to this article as recorded by
Advanced Endoscopic Imaging for Detection of Dysplasia in Inflammatory Bowel Disease Laura Alexandra Lucaciu, Edward John Despott Gastrointestinal Endoscopy Clinics of North America.2025; 35(1): 141. CrossRef
Practical utility of linked color imaging in colonoscopy: Updated literature review Fumiaki Ishibashi, Sho Suzuki Digestive Endoscopy.2025; 37(2): 147. CrossRef
Survey of the Actual Practices Used for Endoscopic Removal of Colon Polyps in Korea: A Comparison with the Current Guidelines Jeongseok Kim, Tae-Geun Gweon, Min Seob Kwak, Su Young Kim, Seong Jung Kim, Hyun Gun Kim, Sung Noh Hong, Eun Sun Kim, Chang Mo Moon, Dae Seong Myung, Dong-Hoon Baek, Shin Ju Oh, Hyun Jung Lee, Ji Young Lee, Yunho Jung, Jaeyoung Chun, Dong-Hoon Yang, Eun R Gut and Liver.2025; 19(1): 77. CrossRef
European cancer mortality predictions for the year 2025 with focus on breast cancer C. Santucci, S. Mignozzi, F. Levi, M. Malvezzi, P. Boffetta, E. Negri, C. La Vecchia Annals of Oncology.2025; 36(4): 460. CrossRef
Approaches and considerations in the endoscopic treatment of T1 colorectal cancer Yunho Jung The Korean Journal of Internal Medicine.2024; 39(4): 563. CrossRef
The Past, Present and Future of Imaging Enhanced Endoscopy in Colon Tumor Kyueng-Whan Min, One-Zoong Kim Journal of Digestive Cancer Research.2024; 12(2): 90. CrossRef
Texture and color enhancement imaging versus white light imaging for the detection of colorectal adenomas: Systematic review and meta-analysis Stefan Mitev, Humza Saeed, Ch Faizan Rasheed, A Abdullah, Stefan Murvakov, Vassil Sirakov, Stefan Tchernodrinski, Zoya Spassova Endoscopy International Open.2024;[Epub] CrossRef
Strategy for post-polypectomy colonoscopy surveillance: focus on the revised Korean guidelines Yong Soo Kwon, Su Young Kim Journal of the Korean Medical Association.2023; 66(11): 652. CrossRef
AI-powered medical devices for practical clinicians including the diagnosis of colorectal polyps Donghwan Kim, Eunsun Kim Journal of the Korean Medical Association.2023; 66(11): 658. CrossRef
Background /Aims: Diagnosis of Helicobacter pylori-naïve gastric cancer (HPNGC) is becoming increasingly important. This study aimed to explore the quality indicators for HPNGC detection.
Methods We conducted a cross-sectional, nationwide, web-based survey of gastrointestinal endoscopists in Japan. In addition to questions about the number of HPNGC cases detected in a year and basic information, the questionnaire also consisted of 28 questions: (1) 18 about HPNGC awareness, (2) six about diagnostic proactiveness, and (3) four about interest in HPNGC.
Results Valid responses were obtained from 712 endoscopists. The Japan Gastroenterological Endoscopy Society-certified endoscopists had a significantly higher HPNGC detection rate than the nonspecialists (0.42% vs. 0.32%, respectively; p=0.008). The results of the multiple regression analysis showed that Japan Gastroenterological Endoscopy Society certification and high awareness and interest scores were independent predictors of the HPNGC detection rate (p=0.012, p<0.001, p=0.024, respectively). Principal component analysis showed that the endoscopists who attended conferences for collecting information on HPNGC had a higher level of awareness.
Conclusions To improve the detection of HPNGC, it is necessary to increase the awareness of the disease. It is hoped that relevant societies will play an important role in endoscopists’ education.
Citations
Citations to this article as recorded by
Visibility evaluation of gastric epithelial neoplasm of fundic gland mucosa lineage using texture and color enhancement imaging Hisanori Utsunomiya, Hiroya Ueyama, Tsutomu Takeda, Shunsuke Nakamura, Yasuko Uemura, Tomoyo Iwano, Momoko Yamamoto, Ryota Uchida, Daiki Abe, Shotaro Oki, Nobuyuki Suzuki, Atsushi Ikeda, Yoichi Akazawa, Kumiko Ueda, Mariko Hojo, Shuko Nojiri, Takashi Yao, DEN Open.2025;[Epub] CrossRef
Prevalence of Gastric Epithelial Tumors in Helicobacter pylori-uninfected Individuals Undergoing a Medical Checkup Eiko Okimoto, Kyoichi Adachi, Yuri Ebisutani, Norihisa Ishimura, Shunji Ishihara Internal Medicine.2024; 63(16): 2251. CrossRef
A mathematical simulation model to determine the optimal endoscopic screening strategy for detection of H. pylori-naïve gastric neoplasms Fumiaki Ishibashi, Kosuke Okusa, Yoshitaka Tokai, Toshiaki Hirasawa, Tomohiro Kawakami, Kentaro Mochida, Yuka Yanai, Chizu Yokoi, Yuko Hayashi, Shun-ichiro Ozawa, Koji Uraushihara, Yohei Minato, Hiroyuki Nakanishi, Hiroya Ueyama, Mikinori Kataoka, Yuzo To Gastric Cancer.2024; 27(5): 1078. CrossRef
Improving the quality of the esophagogastroduodenoscopy in Helicobacter pylori-naïve gastric cancer Jae Myung Park Clinical Endoscopy.2023; 56(4): 453. CrossRef