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1. Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology

Author

Parasa, Sravanthi, Berzin, Tyler, Leggett, Cadman, Gross, Seth, Repici, Alessandro, Ahmad, Omer F., Chiang, Austin, Coelho-Prabhu, Nayantara, Cohen, Jonathan, Dekker, Evelien, Keswani, Rajesh N., Kahn, Charles E., Hassan, Cesare, Petrick, Nicholas, Mountney, Peter, Ng, Jonathan, Riegler, Michael, Mori, Yuichi, Saito, Yutaka, Thakkar, Shyam, Waxman, Irving, Wallace, Michael Bradley, and Sharma, Prateek

Published
2023
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3. Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology

Author

Parasa, Sravanthi, primary, Berzin, Tyler, additional, Leggett, Cadman, additional, Gross, Seth, additional, Repici, Alessandro, additional, Ahmad, Omer F., additional, Chiang, Austin, additional, Coelho-Prabhu, Nayantara, additional, Cohen, Jonathan, additional, Dekker, Evelien, additional, Keswani, Rajesh N., additional, Kahn, Charles E., additional, Hassan, Cesare, additional, Petrick, Nicholas, additional, Mountney, Peter, additional, Ng, Jonathan, additional, Riegler, Michael, additional, Mori, Yuichi, additional, Saito, Yutaka, additional, Thakkar, Shyam, additional, Waxman, Irving, additional, Wallace, Michael Bradley, additional, and Sharma, Prateek, additional

Published
2024
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5. EUS and related technologies for the diagnosis and treatment of pancreatic disease: research gaps and opportunities—Summary of a National Institute of Diabetes and Digestive and Kidney Diseases workshop

Author

Lee, Linda S, Andersen, Dana K, Ashida, Reiko, Brugge, William R, Canto, Mimi I, Chang, Kenneth J, Chari, Suresh T, DeWitt, John, Hwang, Joo Ha, Khashab, Mouen A, Kim, Kang, Levy, Michael J, McGrath, Kevin, Park, Walter G, Singhi, Aatur, Stevens, Tyler, Thompson, Christopher C, Topazian, Mark D, Wallace, Michael B, Wani, Sachin, Waxman, Irving, Yadav, Dhiraj, and Singh, Vikesh K

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Digestive Diseases, Diabetes, Pancreatic Cancer, Cancer, Rare Diseases, Good Health and Well Being, Autoimmune Diseases, Cancer Pain, Clinical Competence, Drainage, Endosonography, Humans, National Institute of Diabetes and Digestive and Kidney Diseases (U.S.), Nerve Block, Pancreatic Diseases, Pancreatic Neoplasms, Pancreatic Pseudocyst, Pancreatitis, United States, Gastroenterology & Hepatology, Clinical sciences
Abstract

A workshop was sponsored by the National Institute of Diabetes and Digestive and Kidney Diseases to address the research gaps and opportunities in pancreatic EUS. The event occurred on July 26, 2017 in 4 sessions: (1) benign pancreatic diseases, (2) high-risk pancreatic diseases, (3) diagnostic and therapeutics, and (4) new technologies. The current state of knowledge was reviewed, with identification of numerous gaps in knowledge and research needs. Common themes included the need for large multicenter consortia of various pancreatic diseases to facilitate meaningful research of these entities; to standardize EUS features of different pancreatic disorders, the technique of sampling pancreatic lesions, and the performance of various therapeutic EUS procedures; and to identify high-risk disease early at the cellular level before macroscopic disease develops. The need for specialized tools and accessories to enable the safe and effective performance of therapeutic EUS procedures also was discussed.

Published
2017

10. EUS-derived criteria for distinguishing benign from malignant metastatic solid hepatic masses.

Author

Fujii-Lau, Larissa, Abu Dayyeh, Barham, Bruno, Marco, DeWitt, John, Fockens, Paul, Forcione, David, Napoleon, Bertrand, Palazzo, Laurent, Topazian, Mark, Wiersema, Maurits, Chak, Amitabh, Clain, Jonathan, Faigel, Douglas, Gleeson, Ferga, Hawes, Robert, Iyer, Prasad, Rajan, Elizabeth, Stevens, Tyler, Wallace, Michael, Wang, Kenneth, Levy, Michael, and Chang, Kenneth

Subjects
Aged, Endoscopic Ultrasound-Guided Fine Needle Aspiration, Endosonography, Female, Humans, Liver, Liver Neoplasms, Male, Middle Aged, Neoplasm Staging, Retrospective Studies
Abstract

BACKGROUND: Detection of hepatic metastases during EUS is an important component of tumor staging. OBJECTIVE: To describe our experience with EUS-guided FNA (EUS-FNA) of solid hepatic masses and derive and validate criteria to help distinguish between benign and malignant hepatic masses. DESIGN: Retrospective study, survey. SETTING: Single, tertiary-care referral center. PATIENTS: Medical records were reviewed for all patients undergoing EUS-FNA of solid hepatic masses over a 12-year period. INTERVENTIONS: EUS-FNA of solid hepatic masses. MAIN OUTCOME MEASUREMENTS: Masses were deemed benign or malignant according to predetermined criteria. EUS images from 200 patients were used to create derivation and validation cohorts of 100 cases each, matched by cytopathologic diagnosis. Ten expert endosonographers blindly rated 15 initial endosonographic features of each of the 100 images in the derivation cohort. These data were used to derive an EUS scoring system that was then validated by using the validation cohort by the expert endosonographer with the highest diagnostic accuracy. RESULTS: A total of 332 patients underwent EUS-FNA of a hepatic mass. Interobserver agreement regarding the initial endosonographic features among the expert endosonographers was fair to moderate, with a mean diagnostic accuracy of 73% (standard deviation 5.6). A scoring system incorporating 7 EUS features was developed to distinguish benign from malignant hepatic masses by using the derivation cohort with an area under the receiver operating curve (AUC) of 0.92; when applied to the validation cohort, performance was similar (AUC 0.86). The combined positive predictive value of both cohorts was 88%. LIMITATIONS: Single center, retrospective, only one expert endosonographer deriving and validating the EUS criteria. CONCLUSION: An EUS scoring system was developed that helps distinguish benign from malignant hepatic masses. Further study is required to determine the impact of these EUS criteria among endosonographers of all experience.

Published
2015

12. Improving serrated adenoma detection rate in the colon by electronic chromoendoscopy and distal attachment: systematic review and meta-analysis

Author

Aziz, Muhammad, Desai, Madhav, Hassan, Seemeen, Fatima, Rawish, Dasari, Chandra S., Chandrasekar, Viveksandeep Thoguluva, Jegadeesan, Ramprasad, Duvvuri, Abhiram, Patel, Harsh, Rai, Tarun, Sathyamurthy, Anjana, Kohli, Divyanshoo R., Vennalaganti, Prashanth, Nawras, Ali, Wallace, Michael, and Sharma, Prateek

Published
2019
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15. A prospective multicenter study using a new multiband mucosectomy device for endoscopic resection of early neoplasia in Barrett’s esophagus

Author

Pouw, Roos E., Beyna, Torsten, Belghazi, Kamar, Koch, Arjun D., Schoon, Erik J., Haidry, Rehan, Weusten, Bas L., Bisschops, Raf, Shaheen, Nicholas J., Wallace, Michael B., Marcon, Norman, Heise-Ginsburg, Rachel, Gotink, Anniek W., Wang, Kenneth K., Leggett, Cadman L., Ortiz-Fernández-Sordo, Jacobo, Ragunath, Krish, DiPietro, Massimiliano, Pech, Oliver, Neuhaus, Horst, and Bergman, Jacques J.

Published
2018
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17. COMPARING MARGIN ABLATION TECHNIQUES AFTER ENDOSCOPIC MUCOSAL RESECTION OF LARGE NONPEDUNCULATED COLORECTAL POLYPS

Author

Djinbachian, Roupen, primary, Pohl, Heiko, additional, Rex, Douglas, additional, Levenick, John, additional, Pleskow, Douglas, additional, Wallace, Michael, additional, Khashab, Mouen, additional, Singh, Ajaypal, additional, Melson, Joshua, additional, Yang, Dennis, additional, Gavric, Aleksandar, additional, and Von Renteln, Daniel, additional

Published
2023
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18. EUS GUIDED PORTO-SYSTEMIC PRESSURE GRADIENT EVALUATION PREDICTS LIVER HISTOLOGY AND CLINICAL PARAMETERS OF LIVER DISEASE: RESULTS FROM A LARGE U.S. MULTI-CENTER ENDOHEPATOLOGY EXPERIENCE

Author

Kesar, Vivek, primary, Monachese, Marc, additional, Rubin, Raymond, additional, Yeaton, Paul, additional, Kolb, Jennifer, additional, Choi, Alyssa, additional, Wang, Thomas, additional, Zakaria, Ali, additional, Taunk, Pushpak, additional, Tavangar, Amirali, additional, Dougherty, Diana, additional, Reddy, Shravani, additional, Sahebjam, Farhad, additional, Kesar, Varun, additional, Gohil, Vishal, additional, Abel, William, additional, Abbas, Ali, additional, Cortés, Pedro, additional, Wallace, Michael, additional, brahmbhatt, Bhaumik, additional, Cosgrove, Natalie, additional, Cai, Wenjing, additional, Lee, David, additional, Kedia, Prashant, additional, Chang, Kenneth, additional, Ryou, Marvin, additional, and Samarasena, Jason, additional

Published
2023
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20. Development of quality indicators for endoscopic eradication therapies in Barrett’s esophagus: the TREAT-BE (Treatment with Resection and Endoscopic Ablation Techniques for Barrett’s Esophagus) Consortium

Author

Wani, Sachin, Muthusamy, V. Raman, Shaheen, Nicholas J., Yadlapati, Rena, Wilson, Robert, Abrams, Julian A., Bergman, Jacques, Chak, Amitabh, Chang, Kenneth, Das, Ananya, Dumot, John, Edmundowicz, Steven A., Eisen, Glenn, Falk, Gary W., Fennerty, M. Brian, Gerson, Lauren, Ginsberg, Gregory G., Grande, David, Hall, Matt, Harnke, Ben, Inadomi, John, Jankowski, Janusz, Lightdale, Charles J., Makker, Jitin, Odze, Robert D., Pech, Oliver, Sampliner, Richard E., Spechler, Stuart, Triadafilopoulos, George, Wallace, Michael B., Wang, Kenneth, Waxman, Irving, and Komanduri, Srinadh

Published
2017
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25. Mentoring our young reviewers: learning from our learning curve

Author

Deborah Bowman, Stephanie Kinnan, Dominic Klyve, Michael B. Wallace, Amandeep K. Shergill, and Lyndon V. Hernandez

Subjects
Medical education, business.industry, Mentors, Gastroenterology, Humans, Mentoring, Medicine, Radiology, Nuclear Medicine and imaging, business, Learning Curve
Published
2022

35. IMPACT OF ARTIFICIAL INTELLIGENCE ON MISS RATE OF COLORECTAL NEOPLASIA: A RANDOMIZED TANDEM CLINICAL TRIAL

Author

Wallace, Michael B., primary, Sharma, Prateek, additional, Bhandari, Pradeep, additional, East, James E., additional, Antonelli, Giulio, additional, Lorenzetti, Roberto, additional, Vieth, Michael, additional, Speranza, Ilaria, additional, Spadaccini, Marco, additional, Desai, Madhav, additional, Lukens, Frank, additional, Babameto, Genci, additional, Batista, Daisy D., additional, Palmer, William C., additional, Lunsford, Tisha, additional, Ruff, Kevin C., additional, Bird-Liebermann, Elizabeth L., additional, Ciofoaia, Victor, additional, Arndtz, Sophie, additional, Cangemi, David, additional, Puddick, Kristy, additional, Derfus, Gregory, additional, Johal, Amitpal S., additional, Barawi, Mohammed, additional, Longo, Luigi, additional, Repici, Alessandro, additional, and Hassan, Cesare, additional

Published
2022
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37. COMPARING NUMBER AND RELEVANCE OF FALSE ACTIVATIONS BETWEEN TWO ARTIFICIAL INTELLIGENCE CADE SYSTEMS: THE NOISE STUDY

Author

Spadaccini, Marco, primary, Alfarone, Ludovico, additional, Da Rio, Leonardo, additional, Maselli, Roberta, additional, Carrara, Silvia, additional, Galtieri, Piera Alessia, additional, Pellegatta, Gaia, additional, Fugazza, Alessandro, additional, Koleth, Glenn, additional, Emmanuel, James, additional, Anderloni, Andrea A., additional, Mori, Yuichi, additional, Wallace, Michael B., additional, Sharma, Prateek, additional, Repici, Alessandro, additional, and Hassan, Cesare, additional

Published
2022
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38. EUS GUIDED PORTO-SYSTEMIC PRESSURE GRADIENT EVALUATION PREDICTS LIVER HISTOLOGY AND CLINICAL PARAMETERS OF LIVER DISEASE: A LARGE MULTI-CENTER ENDOHEPATOLOGY STUDY

Author

Monachese, Marc, primary, Kolb, Jennifer M., additional, Chang, Kenneth J., additional, Choi, Alyssa, additional, Shah, Sagar, additional, Wang, Thomas J., additional, Bazarbashi, Ahmad, additional, Zakaria, Ali, additional, Taunk, Pushpak, additional, Abbas, Ali M., additional, Cortés, Pedro, additional, Wallace, Michael B., additional, Brahmbhatt, Bhaumik, additional, Cosgrove, Natalie D., additional, Cai, Wenjing, additional, Lee, David P., additional, Kedia, Prashant, additional, Ryou, Marvin, additional, and Samarasena, Jason B., additional

Published
2022
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44. Comparing the number and relevance of false activations between 2 artificial intelligence computer-aided detection systems: the NOISE study

Author

Spadaccini, Marco, primary, Hassan, Cesare, additional, Alfarone, Ludovico, additional, Da Rio, Leonardo, additional, Maselli, Roberta, additional, Carrara, Silvia, additional, Galtieri, Piera Alessia, additional, Pellegatta, Gaia, additional, Fugazza, Alessandro, additional, Koleth, Glenn, additional, Emmanuel, James, additional, Anderloni, Andrea, additional, Mori, Yuichi, additional, Wallace, Michael B., additional, Sharma, Prateek, additional, and Repici, Alessandro, additional

Published
2022
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46. Standardization of EUS imaging and reporting in high-risk individuals of pancreatic adenocarcinoma: consensus statement of the Pancreatic Cancer Early Detection Consortium

Author

Gonda, Tamas A., primary, Farrell, James, additional, Wallace, Michael, additional, Khanna, Lauren, additional, Janec, Eileen, additional, Kwon, Richard, additional, Saunders, Michael, additional, Siddiqui, Uzma D., additional, Brand, Randall, additional, Simeone, Diane M., additional, Amundadottir, Laufey, additional, Beyer, Georg, additional, Bi, Yan, additional, Brentnall, Teresa, additional, Carpizo, Darren, additional, Carrato, Alfredo, additional, Chandarana, Hersh, additional, Chun, Jennifer, additional, Chung, Daniel, additional, Dudley, Beth, additional, Earl, Julia, additional, Everett, Jessica, additional, Fava, Melissa, additional, Gaddam, Srinivas, additional, Gallinger, Steve, additional, Golan, Talia, additional, Graff, John, additional, Greenhalf, William, additional, Grossberg, Aaron, additional, Hart, Philip, additional, Holter, Spring, additional, Huang, Chenchan, additional, Idos, Gregory, additional, Kanth, Priyanka, additional, Kastrinos, Fay, additional, Katona, Bryson, additional, Kaul, Vivek, additional, Klute, Kelsey, additional, Kupfer, Sonia, additional, Liau, Joy, additional, Lin, James, additional, Lindberg, James, additional, Lowy, Andrew, additional, Lucas, Aimee, additional, Mayerle, Julia, additional, Merchant, Nipun, additional, Paiella, Salvatore, additional, Permuth, Jennifer, additional, Schrader, Intan, additional, Sears, Rosalie, additional, Siveke, Jens, additional, Sussman, Daniel, additional, and Zogopoulos, George, additional

Published
2022
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48. Position statement on priorities for artificial intelligence in GI endoscopy: a report by the ASGE Task Force

Author

Alessandro Repici, Michael B. Wallace, Tyler M. Berzin, Seth A. Gross, Prateek Sharma, and Sravanthi Parasa

Subjects
Standardization, Task force, business.industry, media_common.quotation_subject, Gastroenterology, MEDLINE, Gi endoscopy, Endoscopy, Gastrointestinal, 03 medical and health sciences, 0302 clinical medicine, White paper, Workflow, Artificial Intelligence, 030220 oncology & carcinogenesis, Humans, Medicine, 030211 gastroenterology & hepatology, Radiology, Nuclear Medicine and imaging, Quality (business), Use case, Prospective Studies, Artificial intelligence, business, Algorithms, media_common
Abstract

Artificial intelligence (AI) in GI endoscopy holds tremendous promise to augment clinical performance, establish better treatment plans, and improve patient outcomes. Although there are promising initial applications and preliminary clinical data for AI in gastroenterology, the field is still in a very early phase, with limited clinical use. The American Society for Gastrointestinal Endoscopy has convened an AI Task Force to develop guidance around clinical implementation, testing/validating algorithms, and building pathways for successful implementation of AI in GI endoscopy. This White Paper focuses on 3 areas: (1) priority use cases for development of AI algorithms in GI, both for specific clinical scenarios and for streamlining clinical workflows, quality reporting, and practice management; (2) data science priorities, including development of image libraries, and standardization of methods for storing, sharing, and annotating endoscopic images/video; and (3) research priorities, focusing on the importance of high-quality, prospective trials measuring clinically meaningful patient outcomes.

Published
2020

49. Risk factors for serious adverse events associated with multiband mucosectomy in Barrett's esophagus: an international multicenter analysis of 3827 endoscopic resection procedures

Author

Martin Everson, Stefan Seewald, Massimiliano di Pietro, Gregory G. Ginsberg, Rehan Haidry, Farzan F. Bahin, Michael B. Wallace, Nahid Mostafavi, Jacques J. Bergman, Kamar Belghazi, Raf Bisschops, Lady Katherine Mejia Perez, Pujan Kandel, Krish Ragunath, Norman E. Marcon, Gene K. Ma, Erik J. Schoon, Jacobo Ortiz-Fernández-Sordo, Christopher W. Teshima, Roos E. Pouw, Arjun D. Koch, Kenneth K. Wang, Bas L. Weusten, Michael J. Bourke, Reza V. Milano, Gastroenterology and hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, Gastroenterology and Hepatology, CCA - Cancer Treatment and Quality of Life, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, and Gastroenterology & Hepatology

Subjects
Male, medicine.medical_specialty, Canada, multiband mucosectomy, Esophageal Neoplasms, Perforation (oil well), 03 medical and health sciences, Barrett Esophagus, 0302 clinical medicine, endoscopic resection, Interquartile range, Risk Factors, medicine, Humans, Barrett’s esophagus, perforation, Radiology, Nuclear Medicine and imaging, Esophagus, Risk factor, Adverse effect, Aged, Retrospective Studies, business.industry, Gastroenterology, Australia, Odds ratio, medicine.disease, bleeding, Confidence interval, Surgery, Europe, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Barrett's esophagus, 030211 gastroenterology & hepatology, Female, Esophagoscopy, business
Abstract

BACKGROUND AND AIMS: Multiband mucosectomy (MBM) is a widely used technique for the treatment of Barrett's esophagus (BE). However, large multicenter studies enabling a generalizable estimation of the risk of serious adverse events, such as perforation and postprocedural bleeding, are lacking. The aim of this study was to estimate the rate of, and risk factors for, serious adverse events associated with MBM. METHODS: In this retrospective analysis, consecutive patients who underwent MBM for treatment of BE in 14 tertiary referral centers in Europe, the United States, Canada, and Australia were included. Primary outcomes were perforation and postprocedural bleeding rate. Potential risk factors were identified by logistic regression. RESULTS: Between 2001 and 2016, a total of 3827 MBM procedures were performed in 2447 patients (84% male, mean age 66 years, median BE length C2M4). Perforation occurred in 17 procedures (0.4%; 95% confidence interval [CI], 0.3-0.7), of which 15 could be treated endoscopically or conservatively. Female gender was an independent risk factor for perforation (odds ratio [OR], 2.77; 95% CI, 1.02-7.57; P = .05). Postprocedural bleeding occurred after 35 procedures (0.9%; 95% CI, 0.6-1.3). The number of resections (OR, 1.15; 95% CI, 1.06-1.25; P < .001) was significantly associated with postprocedural bleeding. CONCLUSION: The results of this study show that MBM for BE is safe with a low risk of serious adverse events. In addition, most of the adverse events could be managed endoscopically or conservatively. The number of resections was an independent risk factor for postprocedural bleeding. ispartof: GASTROINTESTINAL ENDOSCOPY vol:92 issue:2 pages:259-+ ispartof: location:United States status: published

Published
2020

50. Addressing gender in gastroenterology: opportunities for change

Author

Uzma D. Siddiqui, Michelle K. Kim, Loren Galler Rabinowitz, Amrita Sethi, Michael B. Wallace, and Sharmila Anandasabapathy

Subjects
Male, medicine.medical_specialty, Career Choice, Salaries and Fringe Benefits, business.industry, Gastroenterology, MEDLINE, Career Mobility, Sex Factors, Family medicine, medicine, Humans, Female, Radiology, Nuclear Medicine and imaging, business
Published
2020

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