Clinical trial · Interventional
Efficacy of CADe System in Detecting Gastric Neoplasia
Efficacy of Computer Aided Detection (CADe) System in Detecting Gastric Neoplasia - a Prospective Tandem Study
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Gastric cancer remains the 5th most common cancers worldwide. It also ranked 5th in the cancer related mortality, causing more than 650'000 deaths per year. Survival of gastric cancer is directly related to the stage of the presentation, with early stage cancers having a significantly better survival. Patients with stage I gastric cancer generally have a 5-year survival of more than 90%. In particular, T1a cancer confined to the mucosa are amenable for endoscopic resection, and patients who underwent such treatment have an excellent survival of 97.2% at 5 years. These patients are not only able to survive longer but also with good quality of life through organ preservation. However, diagnosis of gastric cancer at an early stage has always been difficult. A meta-analysis of 22 studies from both East and Western population showed a gastric cancer miss rate of 9.4%. Early gastric cancer usually presents with subtle mucosal changes that are hard to detect endoscopically, especially for endoscopists with limited experience in early cancer diagnosis. Background chronic inflammation and high frequency of non-neoplastic lesions often pose significant diagnostic challenges for endoscopists to detect real neoplastic changes. In high incidence countries such as Japan and Korea, the combination of national screening programme as well as good endoscopy training program facilitated high proportion of early gastric cancer detection. Previous studies have showed that significant survival outcome difference between countries with high versus low early cancer detection rate. Artificial intelligence has emerged as one of the promising technologies that helps enhance endoscopic performance. Numerous high quality randomized studies have demonstrated that computer assisted detection (CADe) system significantly improved colonic adenoma detection rate during screening colonoscopy. Development of gastric cancer CADe system has been much slower than colonic polyp detection. Despite the publication of numerous retrospective studies utilizing endoscopic images in differentiating benign versus malignant gastric lesions, there were only very few completed systems available for clinical real time application. A single centre randomized controlled trial from China demonstrated an improvement in the gastric neoplasm miss rate from 27.3% to 6.1 % when utilizing a novel CADe system. A novel CADe prototype system (OIP-Ge1, Olympus Medical Corporations, Tokyo, Japan) has recently been developed. The system was developed through collaboration of multiple experts in diagnosing early gastric cancer, collecting more than 100'000 endoscopic images from dozens of high volume centres in Japan. There is currently no prospective clinical data on the actual performance of the prototype CADe system, especially when applied in regions with low proportion of early gastric cancer detection. The purpose of this study is to investigate the clinical utility of the new CADe system in detection of gastric neoplasia among high risk patients. If the current study confirms the significant difference in miss rate of gastric neoplasia with the CADe system, a multicentred international randomized controlled trial is planned to compare the efficacy of gastric neoplasia detection with or without the system.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Gastric Neoplasia | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| CADe System | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- CADe System Group
- description
- During the procedure, the stomach would be examined with the assistance of CADe system by endoscopist.
- interventionNames
- Device: CADe System
Primary outcomes (1)
- measure
- Proportion of patients with missed gastric neoplasia during first endoscopy without CADe system
- timeFrame
- 1 day
- description
- Number of patients in whom at least one histologically confirmed gastric neoplasia (Vienna III-V) is not identified during the first endoscopy without CADe, but is identified during the second endoscopy with CADe, divided by the total number of patients undergoing both examinations (unit: %) Miss rate (%) = \[Number of patients with ≥1 neoplasia detected only on 2nd endoscopy with CADe\] ÷ \[Total number of patients undergoing both 1st and 2nd endoscopies\] × 100.
Secondary outcomes (7)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Age \>=18 * Deemed at high risk of gastric cancer, defined as below: 1. Family history of stomach cancer (1st degree relative) for screening, or 2. Known gastric atrophy/ intestinal metaplasia requiring surveillance, or 3. Suspicious lesion for repeat diagnostic OGD, or 4. History of gastric dysplasia / early gastric cancer with endoscopic resection for surveillance 5. Newly diagnosed early gastric cancer, workup for synchronous cancers Exclusion Criteria: * History of gastrectomy (For any reason, including benign and malignant disease) * Patient who refused to participate * Patients deemed not fit for consent, including minor patients * Pregnancy * Other cases deemed by the examining physician as unsuitable for safe treatment
References
Publications (13)
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- BACKGROUNDPimenta-Melo AR, Monteiro-Soares M, Libanio D, Dinis-Ribeiro M. Missing rate for gastric cancer during upper gastrointestinal endoscopy: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol. 2016 Sep;28(9):1041-9. doi: 10.1097/MEG.0000000000000657. PMID 27148773
- BACKGROUNDAllemani C, Matsuda T, Di Carlo V, Harewood R, Matz M, Niksic M, Bonaventure A, Valkov M, Johnson CJ, Esteve J, Ogunbiyi OJ, Azevedo E Silva G, Chen WQ, Eser S, Engholm G, Stiller CA, Monnereau A, Woods RR, Visser O, Lim GH, Aitken J, Weir HK, Coleman MP; CONCORD Working Group. Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries. Lancet. 2018 Mar 17;391(10125):1023-1075. doi: 10.1016/S0140-6736(17)33326-3. Epub 2018 Jan 31. PMID 29395269
- BACKGROUNDHuang RJ, Koh H, Hwang JH; Summit Leaders. A Summary of the 2020 Gastric Cancer Summit at Stanford University. Gastroenterology. 2020 Oct;159(4):1221-1226. doi: 10.1053/j.gastro.2020.05.100. Epub 2020 Jul 21. PMID 32707045
- BACKGROUNDDesai M, Ausk K, Brannan D, Chhabra R, Chan W, Chiorean M, Gross SA, Girotra M, Haber G, Hogan RB, Jacob B, Jonnalagadda S, Iles-Shih L, Kumar N, Law J, Lee L, Lin O, Mizrahi M, Pacheco P, Parasa S, Phan J, Reeves V, Sethi A, Snell D, Underwood J, Venu N, Visrodia K, Wong A, Winn J, Wright CH, Sharma P. Use of a Novel Artificial Intelligence System Leads to the Detection of Significantly Higher Number of Adenomas During Screening and Surveillance Colonoscopy: Results From a Large, Prospective, US Multicenter, Randomized Clinical Trial. Am J Gastroenterol. 2024 Jul 1;119(7):1383-1391. doi: 10.14309/ajg.0000000000002664. Epub 2024 Jan 18.