Near Focus NBI-Driven Artificial Intelligence for the Diagnosis of Gastro-Oesophageal Reflux Disease
1 other identifier
observational
76
1 country
1
Brief Summary
Gastro-oesophageal reflux disease (GORD) is a chronic condition with symptoms arising secondary to the reflux of stomach contents (Vakil et al., 2006). It is divided into four phenotypes: Erosive Oesophagitis (EO), Non-Erosive Reflux Disease (NERD), Reflux Hypersensitivity (RH), Functional Heartburn (FH) (Nikaki, Woodland and Sifrim, 2016). The definition of these phenotype have evolved with the addition of diagnostic tests and methods of their interpretation, the most recent being the Lyon Consensus Statement (Gyawali et al., 2018). The majority of patients presenting with symptoms suggestive of GORD have no mucosal lesion seen at endoscopy (Nikaki, Woodland and Sifrim, 2016). Studies have shown a relation of increased IPCL numbers with GORD. This study aims to build a fully autmoated AI model using Near-Focus NBI images on patients with symptoms suggestive of GORD phenotyped in accordance with the Lyon Consensus.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Nov 2017
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 23, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 26, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
November 30, 2018
CompletedFirst Submitted
Initial submission to the registry
February 11, 2020
CompletedFirst Posted
Study publicly available on registry
February 13, 2020
CompletedFebruary 13, 2020
February 1, 2020
8 months
February 11, 2020
February 11, 2020
Conditions
Outcome Measures
Primary Outcomes (2)
To evaluate Intra-Papillary Capillary Loop (IPCL) changes secondary to oesophageal acid exposure.
Parameters of IPCLs: IPCLs/region of interest, morphology: IPCL length, density correlated to oesophageal acid exposure
6 weeks post completion of wireless capsule pH recording
To develop an accurate and reliable artificial intelligence model for the diagnosis of Gastro-Oesophageal Reflux Disease (GORD)
Patient data split into training/validation and test dataset for computer assisted and deep learning model training and testing
3 months after completion of all data collection
Secondary Outcomes (1)
To explore factors that may predict response to treatment.
6 weeks to include data of response to antacid treatment
Study Arms (2)
Gastro-Esophageal Reflux Disease
Patients defined as having GERD as per Lyon Consensus
Non-acid Reflux
Patient excluded for GERD as per Lyon Consensus
Interventions
wireless pH capsule recording for up to 96 hours
Eligibility Criteria
Consecutive patients attending the Gastroenterology department for the investigation of symptoms suggestive of Gastro-Oesophageal Reflux Disease (GORD) were approached for recruitment. Patients had to have symptoms including heartburn, regurgitation or chest/epigastric pain for a minimum of 3 months.
You may qualify if:
- Retaining capacity and medically fit for gastroscopy
- Requiring gastroscopy by current BSG guidelines for the investigation of acid reflux/ dyspepsia
You may not qualify if:
- Unable to give informed consent
- History of oesophageal or gastric surgery
- Allergy to proton-pump inhibitor
- Known Barrett's Oesophagus/ oesophageal carcinoma/ oesophageal stricture/ known oesophageal dysmotility
- Portal Hypertension
- Pacemaker (BRAVO)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Shraddha Gulati
London, SE5 9RS, United Kingdom
Related Publications (14)
Vakil N, van Zanten SV, Kahrilas P, Dent J, Jones R; Global Consensus Group. The Montreal definition and classification of gastroesophageal reflux disease: a global evidence-based consensus. Am J Gastroenterol. 2006 Aug;101(8):1900-20; quiz 1943. doi: 10.1111/j.1572-0241.2006.00630.x.
PMID: 16928254BACKGROUNDNikaki K, Woodland P, Sifrim D. Adult and paediatric GERD: diagnosis, phenotypes and avoidance of excess treatments. Nat Rev Gastroenterol Hepatol. 2016 Sep;13(9):529-42. doi: 10.1038/nrgastro.2016.109. Epub 2016 Jul 27.
PMID: 27485786BACKGROUNDGyawali CP, Kahrilas PJ, Savarino E, Zerbib F, Mion F, Smout AJPM, Vaezi M, Sifrim D, Fox MR, Vela MF, Tutuian R, Tack J, Bredenoord AJ, Pandolfino J, Roman S. Modern diagnosis of GERD: the Lyon Consensus. Gut. 2018 Jul;67(7):1351-1362. doi: 10.1136/gutjnl-2017-314722. Epub 2018 Feb 3.
PMID: 29437910BACKGROUNDLundell LR, Dent J, Bennett JR, Blum AL, Armstrong D, Galmiche JP, Johnson F, Hongo M, Richter JE, Spechler SJ, Tytgat GN, Wallin L. Endoscopic assessment of oesophagitis: clinical and functional correlates and further validation of the Los Angeles classification. Gut. 1999 Aug;45(2):172-80. doi: 10.1136/gut.45.2.172.
PMID: 10403727BACKGROUNDNozu T, Komiyama H. Clinical characteristics of asymptomatic esophagitis. J Gastroenterol. 2008;43(1):27-31. doi: 10.1007/s00535-007-2120-2. Epub 2008 Feb 24.
PMID: 18297432BACKGROUNDZagari RM, Fuccio L, Wallander MA, Johansson S, Fiocca R, Casanova S, Farahmand BY, Winchester CC, Roda E, Bazzoli F. Gastro-oesophageal reflux symptoms, oesophagitis and Barrett's oesophagus in the general population: the Loiano-Monghidoro study. Gut. 2008 Oct;57(10):1354-9. doi: 10.1136/gut.2007.145177. Epub 2008 Apr 18.
PMID: 18424568BACKGROUNDLee YC, Lin JT, Chiu HM, Liao WC, Chen CC, Tu CH, Tai CM, Chiang TH, Chiu YH, Wu MS, Wang HP. Intraobserver and interobserver consistency for grading esophagitis with narrow-band imaging. Gastrointest Endosc. 2007 Aug;66(2):230-6. doi: 10.1016/j.gie.2006.10.056.
PMID: 17643694BACKGROUNDFock KM, Teo EK, Ang TL, Tan JY, Law NM. The utility of narrow band imaging in improving the endoscopic diagnosis of gastroesophageal reflux disease. Clin Gastroenterol Hepatol. 2009 Jan;7(1):54-9. doi: 10.1016/j.cgh.2008.08.030. Epub 2008 Sep 3.
PMID: 18852068BACKGROUNDInoue H, Kaga M, Ikeda H, Sato C, Sato H, Minami H, Santi EG, Hayee B, Eleftheriadis N. Magnification endoscopy in esophageal squamous cell carcinoma: a review of the intrapapillary capillary loop classification. Ann Gastroenterol. 2015 Jan-Mar;28(1):41-48.
PMID: 25608626BACKGROUNDKato M, Kaise M, Yonezawa J, Toyoizumi H, Yoshimura N, Yoshida Y, Kawamura M, Tajiri H. Magnifying endoscopy with narrow-band imaging achieves superior accuracy in the differential diagnosis of superficial gastric lesions identified with white-light endoscopy: a prospective study. Gastrointest Endosc. 2010 Sep;72(3):523-9. doi: 10.1016/j.gie.2010.04.041. Epub 2010 Jul 3.
PMID: 20598685BACKGROUNDSharma P, Wani S, Bansal A, Hall S, Puli S, Mathur S, Rastogi A. A feasibility trial of narrow band imaging endoscopy in patients with gastroesophageal reflux disease. Gastroenterology. 2007 Aug;133(2):454-64; quiz 674. doi: 10.1053/j.gastro.2007.06.006. Epub 2007 Jun 8.
PMID: 17681166BACKGROUNDLv J, Liu D, Ma SY, Zhang J. Investigation of relationships among gastroesophageal reflux disease subtypes using narrow band imaging magnifying endoscopy. World J Gastroenterol. 2013 Dec 7;19(45):8391-7. doi: 10.3748/wjg.v19.i45.8391.
PMID: 24363532BACKGROUNDPace F, Buscema M, Dominici P, Intraligi M, Baldi F, Cestari R, Passaretti S, Bianchi Porro G, Grossi E. Artificial neural networks are able to recognize gastro-oesophageal reflux disease patients solely on the basis of clinical data. Eur J Gastroenterol Hepatol. 2005 Jun;17(6):605-10. doi: 10.1097/00042737-200506000-00003.
PMID: 15879721BACKGROUNDZhao YY, Xue DX, Wang YL, Zhang R, Sun B, Cai YP, Feng H, Cai Y, Xu JM. Computer-assisted diagnosis of early esophageal squamous cell carcinoma using narrow-band imaging magnifying endoscopy. Endoscopy. 2019 Apr;51(4):333-341. doi: 10.1055/a-0756-8754. Epub 2018 Nov 23.
PMID: 30469155BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 11, 2020
First Posted
February 13, 2020
Study Start
November 23, 2017
Primary Completion
July 26, 2018
Study Completion
November 30, 2018
Last Updated
February 13, 2020
Record last verified: 2020-02
Data Sharing
- IPD Sharing
- Will not share
Protocol possible to obtain upon request