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Tsai MC, Yen HH, Tsai HY, Huang YK, Luo YS, Kornelius E, Sung WW, Lin CC, Tseng MH, Wang CC. Artificial intelligence system for the detection of Barrett's esophagus. World J Gastroenterol 2023; 29:6198-6207. [PMID: 38186865 PMCID: PMC10768395 DOI: 10.3748/wjg.v29.i48.6198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 11/13/2023] [Accepted: 12/12/2023] [Indexed: 12/27/2023] Open
Abstract
BACKGROUND Barrett's esophagus (BE), which has increased in prevalence worldwide, is a precursor for esophageal adenocarcinoma. Although there is a gap in the detection rates between endoscopic BE and histological BE in current research, we trained our artificial intelligence (AI) system with images of endoscopic BE and tested the system with images of histological BE. AIM To assess whether an AI system can aid in the detection of BE in our setting. METHODS Endoscopic narrow-band imaging (NBI) was collected from Chung Shan Medical University Hospital and Changhua Christian Hospital, resulting in 724 cases, with 86 patients having pathological results. Three senior endoscopists, who were instructing physicians of the Digestive Endoscopy Society of Taiwan, independently annotated the images in the development set to determine whether each image was classified as an endoscopic BE. The test set consisted of 160 endoscopic images of 86 cases with histological results. RESULTS Six pre-trained models were compared, and EfficientNetV2B2 (accuracy [ACC]: 0.8) was selected as the backbone architecture for further evaluation due to better ACC results. In the final test, the AI system correctly identified 66 of 70 cases of BE and 85 of 90 cases without BE, resulting in an ACC of 94.37%. CONCLUSION Our AI system, which was trained by NBI of endoscopic BE, can adequately predict endoscopic images of histological BE. The ACC, sensitivity, and specificity are 94.37%, 94.29%, and 94.44%, respectively.
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Affiliation(s)
- Ming-Chang Tsai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung 402, Taiwan
| | - Hsu-Heng Yen
- Division of Gastroenterology, Changhua Christian Hospital, Changhua 500, Taiwan
- Artificial Intelligence Development Center, Changhua Christian Hospital, Changhua 500, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 400, Taiwan
| | - Hui-Yu Tsai
- Department of Medical Informatics, Chung Shan Medical University, Taichung 402, Taiwan
| | - Yu-Kai Huang
- Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan
| | - Yu-Sin Luo
- Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan
| | - Edy Kornelius
- School of Medicine, Chung Shan Medical University, Taichung 402, Taiwan
- Department of Endocrinology and Metabolism, Chung-Shan Medical University Hospital, Taichung 402, Taiwan
| | - Wen-Wei Sung
- School of Medicine, Chung Shan Medical University, Taichung 402, Taiwan
- Department of Urology, Chung Shan Medical University Hospital, Taichung 402, Taiwan
| | - Chun-Che Lin
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung 402, Taiwan
| | - Ming-Hseng Tseng
- Department of Medical Informatics, Chung Shan Medical University, Taichung 402, Taiwan
- Information Technology Office, Chung Shan Medical University Hospital, Taichung 402, Taiwan
| | - Chi-Chih Wang
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung 402, Taiwan
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Closs ER, Mårild K, Nielsen RG, Størdal K. Use of proton pump inhibitors in scandinavian children and adolescents: An observational study. Front Pediatr 2023; 11:1052978. [PMID: 36873656 PMCID: PMC9978809 DOI: 10.3389/fped.2023.1052978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 01/20/2023] [Indexed: 02/18/2023] Open
Abstract
AIMS To examine the use of proton pump inhibitors (PPIs) in Scandinavian children with focus on the geographical variation, temporal changes and possible contributing factors to observed changes. METHODS An observational population-based study of children and adolescents (1-17 years) in Norway, Sweden, and Denmark during the period 2007-2020. Information concerning dispensed PPIs was obtained from the national prescription databases of each country and presented as means per 1,000 children for each country and calendar year in four age categories (1-4, 5-9, 10-13 and 14-17 years). RESULTS In 2007, the PPI use in children was similar across Scandinavian countries. An increased PPI use was observed in all countries during the study period, with gradually increasing differences between the countries. In general, Norway showed both the largest total increase and the largest increase in each age category compared to Sweden and Denmark. In 2020 Norwegian children showed, on average, a 59% higher PPI use compared to Swedish children and a more than double the overall dispensation rate than Denmark. In Denmark there was a 19% reduction in dispensed PPIs from 2015 to 2020. CONCLUSION Despite being countries with similar health care systems and without indications of increased incidence of gastroesophageal reflux disease (GERD), we observed considerable geographical variation and temporal changes of PPI use in children. Although this study did not contain data on the indication for PPI use, these large differences across countries and time may indicate a current overtreatment.
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Affiliation(s)
| | - Karl Mårild
- Department of Pediatrics, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.,Department of Pediatric Gastroenterology, Queen Silvia Children's hospital, Gothenburg, Sweden
| | | | - Ketil Størdal
- Department of Pediatric Research, University of Oslo, Oslo, Norway.,Division of Pediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
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Wadhwa V, Patel N, Grover D, Ali FS, Thosani N. Interventional gastroenterology in oncology. CA Cancer J Clin 2022; 73:286-319. [PMID: 36495087 DOI: 10.3322/caac.21766] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 10/12/2022] [Accepted: 10/17/2022] [Indexed: 12/14/2022] Open
Abstract
Cancer is one of the foremost health problems worldwide and is among the leading causes of death in the United States. Gastrointestinal tract cancers account for almost one third of the cancer-related mortality globally, making it one of the deadliest groups of cancers. Early diagnosis and prompt management are key to preventing cancer-related morbidity and mortality. With advancements in technology and endoscopic techniques, endoscopy has become the core in diagnosis and management of gastrointestinal tract cancers. In this extensive review, the authors discuss the role endoscopy plays in early detection, diagnosis, and management of esophageal, gastric, colorectal, pancreatic, ampullary, biliary tract, and small intestinal cancers.
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Affiliation(s)
- Vaibhav Wadhwa
- Center for Interventional Gastroenterology at UTHealth (iGUT), Division of Gastroenterology Hepatology and Nutrition, University of Texas Health Science Center, McGovern Medical School, Houston, Texas, USA
| | - Nicole Patel
- Center for Interventional Gastroenterology at UTHealth (iGUT), Division of Gastroenterology Hepatology and Nutrition, University of Texas Health Science Center, McGovern Medical School, Houston, Texas, USA
| | - Dheera Grover
- Center for Interventional Gastroenterology at UTHealth (iGUT), Division of Gastroenterology Hepatology and Nutrition, University of Texas Health Science Center, McGovern Medical School, Houston, Texas, USA
| | - Faisal S Ali
- Center for Interventional Gastroenterology at UTHealth (iGUT), Division of Gastroenterology Hepatology and Nutrition, University of Texas Health Science Center, McGovern Medical School, Houston, Texas, USA
| | - Nirav Thosani
- Center for Interventional Gastroenterology at UTHealth (iGUT), Division of Gastroenterology Hepatology and Nutrition, University of Texas Health Science Center, McGovern Medical School, Houston, Texas, USA
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