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Jason B. Samarasena 3 Articles
Hybrid argon plasma coagulation in Barrett’s esophagus: a systematic review and meta-analysis
Sagar N. Shah, Nabil El Hage Chehade, Amirali Tavangar, Alyssa Choi, Marc Monachese, Kenneth J. Chang, Jason B. Samarasena
Clin Endosc 2023;56(1):38-49.   Published online January 30, 2023
DOI: https://doi.org/10.5946/ce.2022.179
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Background
/Aims: Patients with Barrett’s esophagus are at increased risk of developing esophageal adenocarcinoma. Endoscopic therapies aim to eradicate dysplastic and metaplastic tissues. Hybrid argon plasma coagulation (hybrid-APC) utilizes submucosal fluid injection to create a protective cushion prior to ablation that shields the submucosa from injury. We performed a pooled meta-analysis to evaluate the safety and efficacy of hybrid-APC.
Methods
We conducted a systematic search of major electronic databases in April 2022. Studies that included patients with dysplastic and non-dysplastic Barrett’s esophagus undergoing treatment with hybrid-APC were eligible for inclusion. Outcome measures included complete remission of intestinal metaplasia (CR-IM), stricture formation, serious adverse events, and number of sessions necessary to achieve CR-IM.
Results
Overall pooled CR-IM rate for patients undergoing hybrid-APC was 90.8% (95% confidence interval [CI], 0.872–0.939; I2=0%). Pooled stricture rate was 2.0% (95% CI, 0.005–0.042; I2=0%). Overall serious adverse event rate was 2.7% (95% CI, 0.007–0.055; I2=0%).
Conclusions
Results of the current meta-analysis suggest that hybrid-APC is associated with high rates of CR-IM and a favorable safety profile. Interpretation of these results is limited by the inclusion of retrospective cohort and case series data. Randomized controlled trials that standardize treatment and outcome evaluation protocols are necessary to understand how this treatment option is comparable to the current standards of care.

Citations

Citations to this article as recorded by  
  • Application of electrosurgery in gastrointestinal endoscopy

    Progress in Medical Devices.2024;[Epub]     CrossRef
  • Hybrid Argon Plasma Coagulation for Barrett’s Esophagus and for Colonic Mucosal Resection—A Systematic Review and Meta-Analysis
    Maria Manuela Estevinho, Rolando Pinho, João Carlos Silva, João Correia, Pedro Mesquita, Teresa Freitas
    Biomedicines.2023; 11(4): 1139.     CrossRef
  • Hybrid-APC treatment for gastric vascular ectasia of atypical location after failed radiofrequency ablation
    José Manuel Palma García, Raúl Honrubia López, Cristina Fernández de Castro, Carmen Comas Redondo
    Revista Española de Enfermedades Digestivas.2023;[Epub]     CrossRef
  • Thermal ablative therapies in the gastrointestinal tract
    Hendrik Manner
    Current Opinion in Gastroenterology.2023; 39(5): 370.     CrossRef
  • Endoscopic Management of Dysplastic Barrett’s Oesophagus and Early Oesophageal Adenocarcinoma
    Leonardo Henry Eusebi, Andrea Telese, Chiara Castellana, Rengin Melis Engin, Benjamin Norton, Apostolis Papaefthymiou, Rocco Maurizio Zagari, Rehan Haidry
    Cancers.2023; 15(19): 4776.     CrossRef
  • Critical Decision Making: Technical Aspects of Esophageal Ablation
    Felice Schnoll-Sussman
    Foregut: The Journal of the American Foregut Society.2023; 3(3): 314.     CrossRef
  • 2,762 View
  • 155 Download
  • 5 Web of Science
  • 6 Crossref
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Artificial Intelligence in Gastrointestinal Endoscopy
Alexander P. Abadir, Mohammed Fahad Ali, William Karnes, Jason B. Samarasena
Clin Endosc 2020;53(2):132-141.   Published online March 30, 2020
DOI: https://doi.org/10.5946/ce.2020.038
AbstractAbstract PDFPubReaderePub
Artificial intelligence (AI) is rapidly integrating into modern technology and clinical practice. Although in its nascency, AI has become a hot topic of investigation for applications in clinical practice. Multiple fields of medicine have embraced the possibility of a future with AI assisting in diagnosis and pathology applications.
In the field of gastroenterology, AI has been studied as a tool to assist in risk stratification, diagnosis, and pathologic identification. Specifically, AI has become of great interest in endoscopy as a technology with substantial potential to revolutionize the practice of a modern gastroenterologist. From cancer screening to automated report generation, AI has touched upon all aspects of modern endoscopy.
Here, we review landmark AI developments in endoscopy. Starting with broad definitions to develop understanding, we will summarize the current state of AI research and its potential applications. With innovation developing rapidly, this article touches upon the remarkable advances in AI-assisted endoscopy since its initial evaluation at the turn of the millennium, and the potential impact these AI models may have on the modern clinical practice. As with any discussion of new technology, its limitations must also be understood to apply clinical AI tools successfully.

Citations

Citations to this article as recorded by  
  • Artificial intelligence‐aided diagnostic imaging: A state‐of‐the‐art technique in precancerous screening
    Yang‐Bor Lu, Si‐Cun Lu, Fu‐Dong Li, Puo‐Hsien Le, Kai‐Hua Zhang, Zi‐Zheng Sun, Yung‐Ning Huang, Yu‐Chieh Weng, Wei‐Ting Chen, Yi‐Wei Fu, Jun‐Bo Qian, Bin Hu, Hong Xu, Cheng‐Tang Chiu, Qin‐Wei Xu, Wei Gong
    Journal of Gastroenterology and Hepatology.2024; 39(3): 544.     CrossRef
  • Development of convolutional neural network models that recognize normal anatomic structures during real-time radial-array and linear-array EUS (with videos)
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    Gastrointestinal Endoscopy.2024; 99(2): 271.     CrossRef
  • Repurposing of Drug Aspirin in Colon Cancer: Therapeutic Approach
    Vrushali Neve, Abhijeet Kamble, Pawan Karwa
    Clinical Cancer Investigation Journal.2024; 13(1): 23.     CrossRef
  • Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology
    Sravanthi Parasa, Tyler Berzin, Cadman Leggett, Seth Gross, Alessandro Repici, Omer F. Ahmad, Austin Chiang, Nayantara Coelho-Prabhu, Jonathan Cohen, Evelien Dekker, Rajesh N. Keswani, Charles E. Kahn, Cesare Hassan, Nicholas Petrick, Peter Mountney, Jona
    Gastrointestinal Endoscopy.2024;[Epub]     CrossRef
  • Colorectal Polyp Detection Model by Using Super-Resolution Reconstruction and YOLO
    Shaofang Wang, Jun Xie, Yanrong Cui, Zhongju Chen
    Electronics.2024; 13(12): 2298.     CrossRef
  • Artificial intelligence in pancreatic cancer: diagnosis, limitations, and the future prospects—a narrative review
    Maanya Rajasree Katta, Pavan Kumar Reddy Kalluru, Divyaraj Amber Bavishi, Maha Hameed, Sai Sudha Valisekka
    Journal of Cancer Research and Clinical Oncology.2023; 149(9): 6743.     CrossRef
  • Deep learning-based clinical decision support system for gastric neoplasms in real-time endoscopy: development and validation study
    Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Gwang Ho Baik, Hyun Lim, Jae Hoon Jeong, Sung Won Choi, Joonhee Cho, Deok Yeol Kim, Kang Bin Lee, Seung-Il Shin, Dick Sigmund, Byeong In Moon, Sung Chul Park, Sang Hoon Lee, Ki Bae Bang, Dae-Soon Son
    Endoscopy.2023; 55(08): 701.     CrossRef
  • Update zur Navigation im OP-Saal
    Philipp Anthony Wise, Alexander Studier-Fischer, Thilo Hackert, Felix Nickel
    Zentralblatt für Chirurgie - Zeitschrift für Allgemeine, Viszeral-, Thorax- und Gefäßchirurgie.2023;[Epub]     CrossRef
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    В. Ю. ІЛЬЇНА-СТОГНІЄНКО, О. М. ЧАЙКА
    Шпитальна хірургія. Журнал імені Л. Я. Ковальчука.2023; (1): 96.     CrossRef
  • Future Directions in EndoHepatology
    Ahmad Najdat Bazarbashi, Lolwa Al-Obaid, Marvin Ryou
    Techniques and Innovations in Gastrointestinal Endoscopy.2022; 24(1): 98.     CrossRef
  • El papel emergente de la inteligencia artificial en la endoscopia gastrointestinal: una revisión de la literatura
    María José Aguilera-Chuchuca, Sergio A. Sánchez-Luna, Begoña González Suárez, Kenneth Ernest-Suárez, Andres Gelrud, Tyler M. Berzin
    Gastroenterología y Hepatología.2022; 45(6): 492.     CrossRef
  • Artificial Intelligence-Based Colorectal Polyp Histology Prediction: High Accuracy in Larger Polyps
    Naoki Muguruma, Tetsuji Takayama
    Clinical Endoscopy.2022; 55(1): 45.     CrossRef
  • Assessment of the Risk of Severe Dengue Using Intrahost Viral Population in Dengue Virus Serotype 2 Patients via Machine Learning
    Su-Jhen Hung, Huey-Pin Tsai, Ya-Fang Wang, Wen-Chien Ko, Jen-Ren Wang, Sheng-Wen Huang
    Frontiers in Cellular and Infection Microbiology.2022;[Epub]     CrossRef
  • Artificial intelligence in colorectal cancer screening in patients with inflammatory bowel disease
    Kêmily Fuentes Marques, Alana Fuentes Marques, Marina Amorim Lopes, Rodrigo Fedatto Beraldo, Talles Bazeia Lima, Ligia Yukie Sassaki
    Artificial Intelligence in Gastrointestinal Endoscopy.2022; 3(1): 1.     CrossRef
  • Weakly supervised end-to-end artificial intelligence in gastrointestinal endoscopy
    Lukas Buendgens, Didem Cifci, Narmin Ghaffari Laleh, Marko van Treeck, Maria T. Koenen, Henning W. Zimmermann, Till Herbold, Thomas Joachim Lux, Alexander Hann, Christian Trautwein, Jakob Nikolas Kather
    Scientific Reports.2022;[Epub]     CrossRef
  • Automated Detection of Bowel Preparation Scoring and Adequacy With Deep Convolutional Neural Networks
    Daniel J Low, Zhuoqiao Hong, Sechiv Jugnundan, Anjishnu Mukherjee, Samir C Grover
    Journal of the Canadian Association of Gastroenterology.2022; 5(6): 256.     CrossRef
  • The emerging role of artificial intelligence in gastrointestinal endoscopy: a review
    María José Aguilera-Chuchuca, Sergio A. Sánchez-Luna, Begoña González Suárez, Kenneth Ernest-Suárez, Andres Gelrud, Tyler M. Berzin
    Gastroenterología y Hepatología (English Edition).2022; 45(6): 492.     CrossRef
  • Artificial Intelligence for Colonoscopy: Past, Present, and Future
    Wallapak Tavanapong, JungHwan Oh, Michael A. Riegler, Mohammed Khaleel, Bhuvan Mittal, Piet C. de Groen
    IEEE Journal of Biomedical and Health Informatics.2022; 26(8): 3950.     CrossRef
  • Künstliche Intelligenz in der Viszeralmedizin – „brave new world“ oder digitaler Horror?
    R. Jakobs, M. Fried, J. Hampe
    Der Gastroenterologe.2021; 16(1): 1.     CrossRef
  • Challenges in Crohn’s Disease Management after Gastrointestinal Cancer Diagnosis
    Claudio Fiorillo, Carlo Alberto Schena, Giuseppe Quero, Vito Laterza, Daniela Pugliese, Giuseppe Privitera, Fausto Rosa, Tommaso Schepis, Lisa Salvatore, Brunella Di Stefano, Luigi Larosa, Laura Maria Minordi, Luigi Natale, Giampaolo Tortora, Alessandro A
    Cancers.2021; 13(3): 574.     CrossRef
  • Robotics and Artificial Intelligence in Gastrointestinal Endoscopy: Updated Review of the Literature and State of the Art
    Ivo Boškoski, Beatrice Orlandini, Luigi Giovanni Papparella, Maria Valeria Matteo, Martina De Siena, Valerio Pontecorvi, Guido Costamagna
    Current Robotics Reports.2021; 2(1): 43.     CrossRef
  • Use of Endoscopic Images in the Prediction of Submucosal Invasion of Gastric Neoplasms: Automated Deep Learning Model Development and Usability Study
    Chang Seok Bang, Hyun Lim, Hae Min Jeong, Sung Hyeon Hwang
    Journal of Medical Internet Research.2021; 23(4): e25167.     CrossRef
  • Artificial intelligence in brachytherapy: a summary of recent developments
    Susovan Banerjee, Shikha Goyal, Saumyaranjan Mishra, Deepak Gupta, Shyam Singh Bisht, Venketesan K, Kushal Narang, Tejinder Kataria
    The British Journal of Radiology.2021;[Epub]     CrossRef
  • Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era
    Athanasia Mitsala, Christos Tsalikidis, Michail Pitiakoudis, Constantinos Simopoulos, Alexandra K. Tsaroucha
    Current Oncology.2021; 28(3): 1581.     CrossRef
  • Predicting Colorectal Cancer Occurrence in IBD
    Mehmet Yalchin, Ann-Marie Baker, Trevor A. Graham, Ailsa Hart
    Cancers.2021; 13(12): 2908.     CrossRef
  • Usefulness of artificial intelligence in gastric neoplasms
    Ji Hyun Kim, Seung-Joo Nam, Sung Chul Park
    World Journal of Gastroenterology.2021; 27(24): 3543.     CrossRef
  • Deep neural network approaches for detecting gastric polyps in endoscopic images
    Serdar Durak, Bülent Bayram, Tolga Bakırman, Murat Erkut, Metehan Doğan, Mert Gürtürk, Burak Akpınar
    Medical & Biological Engineering & Computing.2021; 59(7-8): 1563.     CrossRef
  • Use of artificial intelligence in endoscopic ultrasound evaluation of pancreatic pathologies
    Ravinder Mankoo, Ahmad H Ali, Ghassan M Hammoud
    Artificial Intelligence in Gastrointestinal Endoscopy.2021; 2(3): 89.     CrossRef
  • Role of Artificial Intelligence in Video Capsule Endoscopy
    Ioannis Tziortziotis, Faidon-Marios Laskaratos, Sergio Coda
    Diagnostics.2021; 11(7): 1192.     CrossRef
  • Use of Artificial Intelligence to Improve the Quality Control of Gastrointestinal Endoscopy
    Ya-qi Song, Xin-li Mao, Xian-bin Zhou, Sai-qin He, Ya-hong Chen, Li-hui Zhang, Shi-wen Xu, Ling-ling Yan, Shen-ping Tang, Li-ping Ye, Shao-wei Li
    Frontiers in Medicine.2021;[Epub]     CrossRef
  • Use of artificial intelligence in endoscopic ultrasound evaluation of pancreatic pathologies
    Ravinder Mankoo, Ahmad H Ali, Ghassan M Hammoud
    Artificial Intelligence in Gastrointestinal Endoscopy.2021; 2(3): 88.     CrossRef
  • Endoscopic diagnosis and treatment of gastric dysplasia and early cancer: Current evidence and what the future may hold
    Edward Young, Hamish Philpott, Rajvinder Singh
    World Journal of Gastroenterology.2021; 27(31): 5126.     CrossRef
  • Computer-Aided Diagnosis of Diminutive Colorectal Polyps in Endoscopic Images: Systematic Review and Meta-analysis of Diagnostic Test Accuracy
    Chang Seok Bang, Jae Jun Lee, Gwang Ho Baik
    Journal of Medical Internet Research.2021; 23(8): e29682.     CrossRef
  • Applications of Artificial Intelligence for the Diagnosis of Gastrointestinal Diseases
    Silvia Pecere, Sebastian Manuel Milluzzo, Gianluca Esposito, Emanuele Dilaghi, Andrea Telese, Leonardo Henry Eusebi
    Diagnostics.2021; 11(9): 1575.     CrossRef
  • Editors' Choice of Noteworthy Clinical Endoscopy Publications in the First Decade
    Gwang Ha Kim, Kwang An Kwon, Do Hyun Park, Jimin Han
    Clinical Endoscopy.2021; 54(5): 633.     CrossRef
  • Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges
    Sang Hoon Kim, Yun Jeong Lim
    Diagnostics.2021; 11(9): 1722.     CrossRef
  • Digital surgery for gastroenterological diseases
    Niall Philip Hardy, Ronan Ambrose Cahill
    World Journal of Gastroenterology.2021; 27(42): 7240.     CrossRef
  • Choledochoscopy: An update
    Tsinrong Lee, Thomas Zheng Jie Teng, Vishal G Shelat
    World Journal of Gastrointestinal Endoscopy.2021; 13(12): 571.     CrossRef
  • Prediction of Submucosal Invasion for Gastric Neoplasms in Endoscopic Images Using Deep-Learning
    Bum-Joo Cho, Chang Seok Bang, Jae Jun Lee, Chang Won Seo, Ju Han Kim
    Journal of Clinical Medicine.2020; 9(6): 1858.     CrossRef
  • The Impact of Artificial Intelligence in the Endoscopic Assessment of Premalignant and Malignant Esophageal Lesions: Present and Future
    Daniela Cornelia Lazăr, Mihaela Flavia Avram, Alexandra Corina Faur, Adrian Goldiş, Ioan Romoşan, Sorina Tăban, Mărioara Cornianu
    Medicina.2020; 56(7): 364.     CrossRef
  • Techniques to integrate artificial intelligence systems with medical information in gastroenterology
    Hong-Yu Jin, Man Zhang, Bing Hu
    Artificial Intelligence in Gastrointestinal Endoscopy.2020; 1(1): 19.     CrossRef
  • Assessing the risk of dengue severity using demographic information and laboratory test results with machine learning
    Sheng-Wen Huang, Huey-Pin Tsai, Su-Jhen Hung, Wen-Chien Ko, Jen-Ren Wang, Michael R. Holbrook
    PLOS Neglected Tropical Diseases.2020; 14(12): e0008960.     CrossRef
  • Emerging use of artificial intelligence in inflammatory bowel disease
    Arushi Kohli, Erik A Holzwanger, Alexander N Levy
    World Journal of Gastroenterology.2020; 26(44): 6923.     CrossRef
  • 8,322 View
  • 284 Download
  • 32 Web of Science
  • 43 Crossref
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Endoscopic Ultrasound-Guided Portal Pressure Measurement and Interventions
Jason B. Samarasena, Kenneth J. Chang
Clin Endosc 2018;51(3):222-228.   Published online May 31, 2018
DOI: https://doi.org/10.5946/ce.2018.079
AbstractAbstract PDFPubReaderePub
A growing number of studies have explored endoscopic ultrasound (EUS)-guided vascular catheterization. Potential clinical applications of EUS-guided portal venous access include angiography, measurement of the portosystemic pressure gradient, EUS-guided transhepatic intrahepatic portosystemic shunt creation and portal vein sampling for the evaluation in gastrointestinal cancer. The following article reviews the different devices and techniques employed in these applications.

Citations

Citations to this article as recorded by  
  • Performance of Endoscopic Ultrasound-Guided Versus Percutaneous Liver Biopsy in Diagnosing Stage 3–4 Fibrosis
    Alyssa Y. Choi, Xiaodong Li, Wenchang Guo, Vishal S. Chandan, Jason Samarasena, John G. Lee, Kenneth J. Chang, Ke-Qin Hu
    Digestive Diseases and Sciences.2023; 68(9): 3774.     CrossRef
  • I Do It My Way: Alternative Approaches in Multidisciplinary Management of GI Diseases
    Sagarika Satyavada, Sidhartha Tavri
    Digestive Disease Interventions.2023; 07(04): 225.     CrossRef
  • Liver Biopsy and Pressure Hemodynamics: GI Perspective
    Varun Kesar, Vivek Kesar, Klaus Monkemuller, Paul Yeaton
    Digestive Disease Interventions.2023; 07(04): 280.     CrossRef
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    S.M. Chooklin, S.S. Chuklin
    EMERGENCY MEDICINE.2023; 19(6): 393.     CrossRef
  • Radiology-guided percutaneous approach is superior to EUS for performing liver biopsies
    Kaveh Hajifathalian, Kenneth J Chang, Reem Z Sharaiha
    Gut.2022; 71(4): 845.     CrossRef
  • Endoscopic Ultrasound Evaluation of Portal Pressure
    Enrico O. Souto
    Clinics in Liver Disease.2022; 26(1): e1.     CrossRef
  • The role of endoscopic ultrasound for portal hypertension in liver cirrhosis
    Cosmas Rinaldi Adithya Lesmana, Maria Satya Paramitha, Rino A. Gani, Laurentius A. Lesmana
    Journal of Medical Ultrasonics.2022; 49(3): 359.     CrossRef
  • Endoscopic Ultrasound-Guided Porto-systemic Pressure Gradient Measurement Correlates with Histological Hepatic Fibrosis
    Alyssa Y. Choi, Kenneth J. Chang, Jason B. Samarasena, John G. Lee, Xiaodong Li, Wenchang Guo, Vishal S. Chandan, Ke-Qin Hu
    Digestive Diseases and Sciences.2022; 67(12): 5685.     CrossRef
  • Advances in Management of Pancreatitis Related Portal Hypertension
    Ujas Patel, Thammasak Mingbunjerdsuk, Ahmed M. Gabr, Meir Mizrahi, Fady Salama, Moamen Gabr
    Digestive Disease Interventions.2022; 06(02): 108.     CrossRef
  • Endohepatology – current status
    Jerome C. Edelson, Natalie E. Mitchell, Don C. Rockey
    Current Opinion in Gastroenterology.2022; 38(3): 216.     CrossRef
  • The use of endoscopic ultrasound in the diagnosis and management of portal hypertension
    Wim Laleman, Emma Vanderschueren, Schalk Van der Merwe, Kenneth J. Chang
    Best Practice & Research Clinical Gastroenterology.2022; 60-61: 101811.     CrossRef
  • EUS-Guided Portal Venous Sampling of Circulating Tumor Cells
    Christopher G. Chapman, Irving Waxman
    Current Gastroenterology Reports.2019;[Epub]     CrossRef
  • 8,105 View
  • 164 Download
  • 11 Web of Science
  • 12 Crossref
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