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)
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
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
Health Care Sciences & Services
Ka Luen Thomas Lui, Sze Hang Kevin Liu, Kathy Leung, Joseph T. Wu, Ann G. Zauber, Wai Keung Leung
Summary: The widespread adoption of computer-aided detection (CADe) in detecting colorectal polyps would result in shorter surveillance intervals for patients, particularly according to the US Multi-Society Task Force on Colorectal Cancer (USMSTF) guideline. Based on simulation, CADe application would lead to approximately 19.1% and 1.9% of patients requiring shorter surveillance intervals, as recommended by the USMSTF and European Society of Gastrointestinal Endoscopy (ESGE) guidelines, respectively. Specifically, all or 2.7% of patients initially scheduled for 3-5 years of surveillance would have their intervals shortened to 3 years, according to the USMSTF guideline.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Gastroenterology & Hepatology
Yuchen Luo, Yi Zhang, Ming Liu, Yihong Lai, Panpan Liu, Zhen Wang, Tongyin Xing, Ying Huang, Yue Li, Aiming Li, Yadong Wang, Xiaobei Luo, Side Liu, Zelong Han
Summary: This study examined whether a high-performance, real-time automatic polyp detection system could improve the polyp detection rate in the actual clinical setting. Results showed that the AI system significantly increased the PDR and detection of smaller polyps, indicating potential for improving early detection of colorectal cancer. However, further research with a larger sample size is needed to confirm these findings.
JOURNAL OF GASTROINTESTINAL SURGERY
(2021)
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
Jeremy R. Glissen Brown, Nabil M. Mansour, Pu Wang, Maria Aguilera Chuchuca, Scott B. Minchenberg, Madhuri Chandnani, Lin Liu, Seth A. Gross, Neil Sengupta, Tyler M. Berzin
Summary: In a U.S. multicenter tandem colonoscopy randomized controlled trial, the use of a CADe-system was shown to decrease AMR and SSL miss rate while increasing first-pass APC compared to HDWL colonoscopy alone.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2022)
Article
Gastroenterology & Hepatology
Lukas Pfeifer, Clemens Neufert, Moritz Leppkes, Maximilian J. Waldner, Michael Hafner, Albert Beyer, Arthur Hoffman, Peter D. Siersema, Markus F. Neurath, Timo Rath
Summary: The use of a newly developed deep convolutional neural network (DCNN) in this study significantly improved the sensitivity and specificity for polyp detection both ex vivo and in vivo, demonstrating the potential for increasing the detection of colorectal polyps during colonoscopy.
EUROPEAN JOURNAL OF GASTROENTEROLOGY & HEPATOLOGY
(2021)
Review
Health Care Sciences & Services
Scarlet Nazarian, Ben Glover, Hutan Ashrafian, Ara Darzi, Julian Teare
Summary: Artificial intelligence technologies show great potential in improving the detection and characterization of colorectal polyps, ultimately reducing the incidence of colorectal cancer. The current generation of AI-based systems demonstrate impressive accuracy in detecting and characterizing colorectal polyps.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Gastroenterology & Hepatology
Taku Sakamoto, Hirotaka Nakashima, Keiko Nakamura, Ryuji Nagahama, Yutaka Saito
Summary: The study evaluated the performance of a computer-aided detection (CADe) and a computer-aided diagnosis (CADx) system in detecting and characterizing colorectal polyps, showing that both systems demonstrated sufficient diagnostic performance to support the use of an AI system.
DIGESTIVE DISEASES AND SCIENCES
(2022)
Article
Medicine, General & Internal
Kazuhiro Mizukami, Erina Fushimi, Ryota Sagami, Takashi Abe, Takao Sato, Shohei Terashi, Masahide Fukuda, Hidefumi Nishikiori, Takayuki Nagai, Masaaki Kodama, Kazunari Murakami
Summary: This study investigated the lesion-detection ability of an AI-equipped colonoscopy as an addition to colonoscopy screening. The results showed that the CADe group had a significantly higher adenoma detection rate compared to the conventional group, especially for non-expert endoscopists.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Chemistry, Analytical
Eva-H Dulf, Marius Bledea, Teodora Mocan, Lucian Mocan
Summary: The research has developed a novel colorectal cancer decision support system based on artificial intelligence, which can classify tissue and identify malignant areas to provide more accurate diagnostic results, potentially impacting the diagnostic process for colon cancer patients.
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
Chia-Pei Tang, Tu-Liang Lin, Yu-Hsi Hsieh, Chen-Hung Hsieh, Chih-Wei Tseng, Felix W. Leung
Summary: Water exchange improves polyp detection rate and reduces false positive numbers. Computer-aided detection complements water exchange, optimizing polyp detection.
GASTROINTESTINAL ENDOSCOPY
(2022)
Article
Multidisciplinary Sciences
Mitsuru Yuba, Kiyotaka Iwasaki
Summary: This study compares the requirements for AI/ML-based CAD devices approved by the FDA in the US and the PMDA in Japan, highlighting the differences in evaluation methods based on the countries' viewpoints. The findings of this study may be useful for defining a unified global development and approval standard for AI/ML-based CAD.
SCIENTIFIC REPORTS
(2022)
Article
Oncology
Nao Ito, Hiroshi Kawahira, Hirotaka Nakashima, Masaya Uesato, Hideaki Miyauchi, Hisahiro Matsubara
Editorial Material
Oncology
Yasuhiro Okumura, Manabu Takamatsu, Manabu Ohashi, Yorimasa Yamamoto, Noriko Yamamoto, Hiroshi Kawachi, Satoshi Ida, Koshi Kumagai, Souya Nunobe, Naoki Hiki, Takeshi Sano
JOURNAL OF GASTRIC CANCER
(2018)
Article
Pathology
Manabu Takamatsu, Hiroshi Kawachi, Noriko Yamamoto, Maki Kobayashi, Yuka Toyama, Takashi Maekawa, Akiko Chino, Shoichi Saito, Masashi Ueno, Yutaka Takazawa, Yuichi Ishikawa
Review
Gastroenterology & Hepatology
Hiroki Osumi, Hiroshi Kawachi, Toshiyuki Yoshio, Junko Fujisaki
DIGESTIVE ENDOSCOPY
(2020)
Article
Oncology
Hirotaka Nakashima, Hiroshi Kawahira, Hiroshi Kawachi, Nobuhiro Sakaki
Article
Gastroenterology & Hepatology
Shoichi Yoshimizu, Hiroshi Kawachi, Yorimasa Yamamoto, Kaoru Nakano, Yusuke Horiuchi, Akiyoshi Ishiyama, Tomohiro Tsuchida, Toshiyuki Yoshio, Toshiaki Hirasawa, Hiromichi Ito, Junko Fujisaki
JOURNAL OF GASTROENTEROLOGY
(2020)
Review
Gastroenterology & Hepatology
Toshiaki Hirasawa, Yohei Ikenoyama, Mitsuaki Ishioka, Ken Namikawa, Yusuke Horiuchi, Hirotaka Nakashima, Junko Fujisaki
Summary: AI technologies have made significant progress in the field of gastric cancer management, with applications in anatomical classification of endoscopic images, diagnosis of Helicobacter pylori infection, and detection and qualitative diagnosis of GC. AI has the potential to greatly improve the quality of medical care.
DIGESTIVE ENDOSCOPY
(2021)
Article
Pathology
Yuta Tsugeno, Hiroshi Kawachi, Susumu Kirimura, Yuka Hirota, Hiroshi Shintaku, Takashi Ito, Akifumi Kikuchi, Kazuo Ohtsuka, Takumi Akashi, Masanobu Kitagawa
Summary: Satoyoshi syndrome is a rare disorder characterized by progressive muscle spasms, alopecia, and diarrhea, along with multiple polypoid lesions with cystic glands. Research on the lesions unique to this syndrome is scarce, and the case reported in this study provides valuable insights into the clinicopathological features of these lesions and their association with the syndrome.
PATHOLOGY INTERNATIONAL
(2021)
Article
Oncology
Tetsuya Negoto, Minji Jo, Izuma Nakayama, Motohiro Morioka, Kengo Takeuchi, Hiroshi Kawachi, Toru Hirota
Summary: Aneuploidy arises from chromosome segregation errors or chromosomal instability. This study analyzed gastric tumors and found that cancer cells exhibit a significant increase in aneuploid population, particularly in advanced cases. The expansion of aneuploid population is associated with p53 deficiency.
Article
Gastroenterology & Hepatology
Mitsuaki Ishioka, Hiroyuki Osawa, Toshiaki Hirasawa, Hiroshi Kawachi, Kaoru Nakano, Noriyoshi Fukushima, Mio Sakaguchi, Tomohiro Tada, Yusuke Kato, Junichi Shibata, Tsuyoshi Ozawa, Hisao Tajiri, Junko Fujisaki
Summary: The AI-based diagnostic support tool Tango showed superior sensitivity and accuracy compared to both specialists and non-specialists in diagnosing early gastric cancers (EGCs), indicating its potential to reduce misdiagnosis.
DIGESTIVE ENDOSCOPY
(2022)
Article
Oncology
Xiaofei Wang, Keika Kaneko, Hiromi Arakawa, Eri Habano, Makiko Omi, Eri Nakashima, Hiroshi Kawachi, Akiko Tonooka, Kohei Omatsu, Hidetaka Nomura, Mayu Yunokawa, Hiroyuki Kanao, Shunji Takahashi, Takeshi Nakajima, Arisa Ueki
Summary: This is a case study on Lynch syndrome and BRCA1 pathogenic variant. Through multigene panel testing, it was found that the patient carried a BRCA1 pathogenic variant and was diagnosed with hereditary breast and ovarian cancer syndrome. The study indicates that multigene panel testing facilitates the evaluation of hereditary tumor risk and provides a more rational approach for genetic assessment.
CASE REPORTS IN ONCOLOGY
(2022)
Letter
Gastroenterology & Hepatology
Ippei Tanaka, Fumiyoshi Fujishima, Hiroshi Kawachi
DIGESTIVE ENDOSCOPY
(2023)
Article
Gastroenterology & Hepatology
Hirotaka Nakashima, Hiroshi Kawahira, Hiroshi Kawachi, Nobuhiro Sakaki
ANNALS OF GASTROENTEROLOGY
(2018)