Article
Gastroenterology & Hepatology
Shunsuke Kamba, Naoto Tamai, Iduru Saitoh, Hiroaki Matsui, Hideka Horiuchi, Masakuni Kobayashi, Taku Sakamoto, Mai Ego, Akihiro Fukuda, Aya Tonouchi, Yuki Shimahara, Masako Nishikawa, Haruo Nishino, Yutaka Saito, Kazuki Sumiyama
Summary: In a multicenter randomized controlled trial, it was found that the adenoma miss rate could be significantly reduced with CADe assistance based on deep learning, leading to a higher adenoma detection rate compared to standard colonoscopy.
JOURNAL OF GASTROENTEROLOGY
(2021)
Review
Gastroenterology & Hepatology
Sagar Shah, Nathan Park, Nabil El Hage Chehade, Anastasia Chahine, Marc Monachese, Amelie Tiritilli, Zain Moosvi, Ronald Ortizo, Jason Samarasena
Summary: This study demonstrates that computer-aided colonoscopy (CAC) can effectively reduce the miss rates of adenomas and sessile serrated lesions, increase the adenoma detection rate, and improve the detection of adenomas larger than 10 mm.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
(2023)
Article
Gastroenterology & Hepatology
Joel Troya, Boban Sudarevic, Adrian Krenzer, Michael Banck, Markus Brand, Benjamin M. Walter, Frank Puppe, Wolfram G. Zoller, Alexander Meining, Alexander Hann
Summary: This study compares the performance of different CADe systems, updates, and configuration modes, providing help for clinicians to select the most appropriate system for their specific needs.
Review
Medicine, General & Internal
Lei Shao, Xinzong Yan, Chengjiang Liu, Can Guo, Baojia Cai
Summary: Artificial intelligence-assisted colonoscopy (AIAC) can effectively reduce the missed detection rate and improve the detection rate of adenoma, especially for small adenomas. However, more in-depth studies are needed to improve the clinical application of AIAC.
Article
Gastroenterology & Hepatology
Daisuke Yamaguchi, Ryo Shimoda, Koichi Miyahara, Takahiro Yukimoto, Yasuhisa Sakata, Ayako Takamori, Yumi Mizuta, Yutaro Fujimura, Suma Inoue, Michito Tomonaga, Yuya Ogino, Kohei Eguchi, Kei Ikeda, Yuichiro Tanaka, Hironobu Takedomi, Hidenori Hidaka, Takashi Akutagawa, Nanae Tsuruoka, Takahiro Noda, Seiji Tsunada, Motohiro Esaki
Summary: This study aimed to evaluate the effectiveness of CAD EYE in improving colonoscopy quality in gastroenterology trainees. The results showed that CAD EYE did not improve ADR but decreased the AMR and improved the ability to accurately locate and identify colorectal adenomas.
DIGESTIVE ENDOSCOPY
(2023)
Article
Gastroenterology & Hepatology
Nikhil R. Thiruvengadam, Gregory A. Cote, Shashank Gupta, Medora Rodrigues, Yecheskel Schneider, Mustafa A. Arain, Pejman Solaimani, Steve Serrao, Michael L. Kochman, Monica Saumoy
Summary: This study aimed to evaluate the cost-effectiveness requirements of computer-aided detection (CAD) in colorectal cancer (CRC) screening/surveillance and its impact on adenoma detection by endoscopists with different ADRs. The findings showed that CAD significantly improved ADR and reduced CRC incidence and mortality. Therefore, in clinical implementation, CAD needs to improve ADR to at least 30% or have a cost of less than $579 per colonoscopy to be cost-effective.
Article
Gastroenterology & Hepatology
Joel Troya, Daniel Fitting, Markus Brand, Boban Sudarevic, Jakob Nikolas Kather, Alexander Meining, Alexander Hann
Summary: This study found that CADe systems are faster than humans in detecting polyps, but using CADe does not improve human reaction times. Moreover, CADe increased misinterpretation of normal mucosa and decreased the eye travel distance.
Article
Gastroenterology & Hepatology
Gui Ren, Xiangping Wang, Hui Luo, Shaowei Yao, Shuhui Liang, Linhui Zhang, Tao Dong, Long Chen, Qin Tao, Xuegang Guo, Ying Han, Yanglin Pan
Summary: This study compared the impact of water exchange and standard air insufflation colonoscopy on adenoma miss rate through a randomized control trial, and it remains uncertain which method can better increase the detection rate of missed adenomas.
DIGESTIVE AND LIVER DISEASE
(2021)
Review
Medicine, General & Internal
Shenghan Lou, Fenqi Du, Wenjie Song, Yixiu Xia, Xinyu Yue, Da Yang, Binbin Cui, Yanlong Liu, Peng Han
Summary: AI-aided colonoscopy significantly enhances the detection of colorectal neoplasia by reducing the miss rate. However, future studies should focus on evaluating the cost-effectiveness and long-term benefits of AI-aided colonoscopy in reducing cancer incidence.
Article
Gastroenterology & Hepatology
Michael B. Wallace, Prateek Sharma, Pradeep Bhandari, James East, Giulio Antonelli, Roberto Lorenzetti, Micheal Vieth, Ilaria Speranza, Marco Spadaccini, Madhav Desai, Frank J. Lukens, Genci Babameto, Daisy Batista, Davinder Singh, William Palmer, Francisco Ramirez, Rebecca Palmer, Tisha Lunsford, Kevin Ruff, Elizabeth Bird-Liebermann, Victor Ciofoaia, Sophie Arndtz, David Cangemi, Kirsty Puddick, Gregory Derfus, Amitpal S. Johal, Mohammed Barawi, Luigi Longo, Luigi Moro, Alessandro Repici, Cesare Hassan
Summary: This study demonstrates that the use of artificial intelligence can significantly reduce the miss rate of colorectal neoplasia, especially for small and subtle lesions. This is of great importance in improving the prevention of colorectal cancer.
Article
Gastroenterology & Hepatology
Shengbing Zhao, Xia Yang, Shuling Wang, Qianqian Meng, Rundong Wang, Lumin Bo, Xin Chang, Peng Pan, Tian Xia, Fan Yang, Jun Yao, Jinghua Zheng, Jianqiu Sheng, Xiaojun Zhao, Shan Tang, Yali Wang, Yiping Wang, Aixia Gong, Weigang Chen, Jianwei Shen, Xian Zhu, Shaofeng Wang, Caiwen Yan, Youlin Yang, Yangbei Zhu, Rui-Jun Ma, Rong Wang, Yingcai Ma, Zhaoshen Li, Yu Bai
Summary: Prolonging withdrawal time from 6 to 9 minutes significantly improves adenoma detection rate (ADR), especially in the proximal colon and for less experienced colonoscopists.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2022)
Article
Gastroenterology & Hepatology
Issei Hasegawa, Takeshi Yamamura, Hiroto Suzuki, Keiko Maeda, Tsunaki Sawada, Yasuyuki Mizutani, Eri Ishikawa, Takuya Ishikawa, Naomi Kakushima, Kazuhiro Furukawa, Eizaburo Ohno, Hiroki Kawashima, Masanao Nakamura, Mitsuhiro Fujishiro
Summary: The study found that while the ADR was similar between the LCI and WLI groups, the LCI group showed significantly lower AMR, especially for diminutive adenomas and nonpolypoid lesions. This suggests that LCI has an advantage in reducing adenoma miss rate.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2021)
Article
Gastroenterology & Hepatology
Ping Shen, Wei Zhi Li, Jia Xin Li, Zheng Cun Pei, Yu Xuan Luo, Jin Bao Mu, Wen Li, Xi Mo Wang
Summary: The study found that the real-time CADe system significantly increased the PDR and PPC under conditions of high polyp detection rate, indicating that CADe-assisted colonoscopy can enhance polyp detection rate.
JOURNAL OF DIGESTIVE DISEASES
(2021)
Article
Gastroenterology & Hepatology
Emanuele Rondonotti, Dhanai Di Paolo, Erik Rosa Rizzotto, Costanza Alvisi, Elisabetta Buscarini, Marco Spadaccini, Giacomo Tamanini, Silvia Paggi, Arnaldo Amato, Giulia Scardino, Samanta Romeo, Saverio Alicante, Fabio Ancona, Ennio Guido, Vincenza Marzo, Fabio Chicco, Simona Agazzi, Cesare Rosa, Loredana Correale, Alessandro Repici, Cesare Hassan, Franco Radaelli
Summary: The use of CADe in a FIT-based CRC screening program significantly increases the adenoma detection rate and the number of adenomas per colonoscopy. The impact of CADe appears to be consistent regardless of the endoscopist's baseline ADR.
Article
Gastroenterology & Hepatology
Wenxi Jiang, Linying Xin, Shefeng Zhu, Zhaoxue Liu, Jiali Wu, Feng Ji, Chaohui Yu, Zhe Shen
Summary: Nearly a quarter of polyps were missed during routine colonoscopy. Diminutive, flat, sessile, and right-side colon polyps were at higher risk of missing. The risk of missing polyps was higher in older men, current smokers, and individuals with multiple polyps detected in the first colonoscopy than their counterparts.
DIGESTIVE DISEASES AND SCIENCES
(2023)
Review
Gastroenterology & Hepatology
Jeremy R. Glissen Brown, Akbar K. Waljee, Yuichi Mori, Prateek Sharma, Tyler M. Berzin
Summary: Gastroenterology has been at the forefront of integrating AI model development with clinical trial validation, with several initiatives underway to provide guidance on AI-specific study design and reporting. The rapid advancement of AI applications in clinical medicine highlights the need for clear guidance on trial design and reporting.
DIGESTIVE ENDOSCOPY
(2022)
Editorial Material
Gastroenterology & Hepatology
Jeremy R. Glissen Brown, Anthony J. Lembo
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2022)
Review
Gastroenterology & Hepatology
Hirsh D. Trivedi, Emily W. Lopes, Jeremy Glissen Brown, Shaan Dudani, Michelle Lai, Joseph D. Feuerstein, Theodore T. Pierce
Summary: This meta-analysis found no association between steroids and nonalcoholic fatty liver disease (NAFLD) among patients with inflammatory bowel disease (IBD). Therefore, steroids may not need to be withheld from patients with IBD for the purposes of preventing NAFLD.
JOURNAL OF CLINICAL GASTROENTEROLOGY
(2023)
Review
Oncology
Scott B. Minchenberg, Trent Walradt, Jeremy R. Glissen Brown
Summary: Artificial intelligence is rapidly growing in the field of gastrointestinal endoscopy. Research has focused on the identification and classification of gastrointestinal malignancies, particularly in polyp detection during screening colonoscopy. Despite promising results, the generalizability of most AI systems has not been evaluated.
WORLD JOURNAL OF GASTROINTESTINAL ONCOLOGY
(2022)
Article
Gastroenterology & Hepatology
Yuichi Mori, Pu Wang, Magnus Loberg, Masashi Misawa, Alessandro Repici, Marco Spadaccini, Loredana Correale, Giulio Antonelli, Honggang Yu, Dexin Gong, Misaki Ishiyama, Shin-ei Kudo, Shunsuke Kamba, Kazuki Sumiyama, Yutaka Saito, Haruo Nishino, Peixi Liu, Jeremy R. Glissen Brown, Nabil M. Mansour, Seth A. Gross, Mette Kalager, Michael Bretthauer, Douglas K. Rex, Prateek Sharma, Tyler M. Berzin, Cesare Hassan
Summary: The use of AI during colonoscopy increases the proportion of patients needing intensive surveillance by approximately 35% in the United States and 20% in Europe. This contributes to improved cancer prevention but adds significant patient burden and healthcare costs.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2023)
Article
Gastroenterology & Hepatology
Jeremy R. Glissen Brown, Ava Sanayei, Samantha Proctor, Ryan Flanagan, Sarah Ballou, Paul A. Bain, Judy Nee
Summary: This study examined the adverse events (AE) and subject withdrawal in the treatment and placebo groups of randomized clinical trials (RCT) of neuromodulators for disorders of gut-brain interaction (DGBI). The findings showed that patients in the placebo groups also experienced AE and withdrawal, suggesting a strong nocebo effect. Nonspecific AE such as dizziness, headaches, and diarrhea occurred similarly in patients receiving placebo compared with those receiving neuromodulators.
AMERICAN JOURNAL OF GASTROENTEROLOGY
(2023)
Review
Gastroenterology & Hepatology
Muhammad Haseeb, Jeremy R. Glissen Brown, Umar Hayat, Camden Bay, Paul A. Bain, Pichamol Jirapinyo, Christopher C. Thompson
Summary: This study assessed the efficacy of transoral incisionless fundoplication (TIF) using the EsophyX device in treating atypical GERD symptoms. The results showed that TIF can effectively reduce these symptoms at 6 and 12 months of follow-up, with a high technical success rate and low adverse event rate. Most patients were satisfied with their health condition and a majority of them were able to stop using daily PPIs.
GASTROINTESTINAL ENDOSCOPY
(2023)
Article
Gastroenterology & Hepatology
Ishita Barua, Masashi Misawa, Jeremy R. Glissen Brown, Trent Walradt, Shin-ei Kudo, Sunil G. Sheth, Judy Nee, Johanna Iturrino, Rupa Mukherjee, Catherine P. Cheney, Mandeep S. Sawhney, Douglas K. Pleskow, Kensaku Mori, Magnus Loberg, Mette Kalager, Paulina Wieszczy, Michael Bretthauer, Tyler M. Berzin, Yuichi Mori
Summary: The study found that using speed monitoring during withdrawal did not increase withdrawal time or adenoma detection rate in colonoscopy.
SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY
(2023)
Article
Gastroenterology & Hepatology
Pu Wang, Xiao-Gang Liu, Min Kang, Xue Peng, Mei-Ling Shu, Guan-Yu Zhou, Pei-Xi Liu, Fei Xiong, Ming-Ming Deng, Hong-Fen Xia, Jian-Jun Li, Xiao-Qi Long, Yan Song, Liang-Ping Li
Summary: In colonoscopy screening for colorectal cancer, human vision limitations may lead to higher miss rate of lesions. Artificial intelligence (AI) assistance has been demonstrated to improve polyp detection. This study aimed to compare the effectiveness of AI and human observer during colonoscopy.
GASTROENTEROLOGY REPORT
(2023)
Article
Gastroenterology & Hepatology
Wei-hui Liu, Xin-yu Huang, Xiao Hu, Pu Wang, Yun-chao Yang, Pei-xi Liu, Xiao-gang Liu
Meeting Abstract
Gastroenterology & Hepatology
Yuichi Mori, Pu Wang, Magnus Loberg, Masashi Misawa, Alessandro Repici, Marco Spadaccini, Loredana Correale, Giulio Antonelli, Honggang Yu, Dexin Gong, Misaki Ishiyama, Shinei Kudo, Shunsuke Kamba, Kazuki Sumiyama, Yutaka Saito, Haruo Nishino, Peixi Liu, Jeremy R. Glissen Brown, Nabil M. Mansour, Seth Gross, Mette Kalager, Michael Bretthauer, Douglas K. Rex, Prateek Sharma, Tyler M. Berzin, Cesare Hassan
GASTROINTESTINAL ENDOSCOPY
(2022)