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Colonoscopy is the gold standard modality for the detection of colonic polyp. However, miss polyp occurs especially in right sided colon. Artificial intelligence (AI) is one of the modality to improve polyp detection but the benefit of AI in operators with different endoscopic experience is still limited. This study aimed to evaluate the efficacy of AI in the detection of right sided colonic polyp in operators with different endoscopic experience by using double insertion of right side colon, back-to-back basis.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| control, experienced | Active Comparator | Patients received colonoscopy with double insertion of right sided colon under white light by experienced endoscopist |
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| control, beginner | Active Comparator | Patients received colonoscopy with double insertion of right sided colon under white light by beginner endoscopist |
|
| AI, experience | Experimental | Patients received colonoscopy with double insertion of right sided colon under AI by experienced endoscopist |
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| AI, beginner | Experimental | Patients received colonoscopy with double insertion of right sided colon under AI by beginner endoscopist |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Artificial intellegence. CADe syste, | Device | The patient received endoscopy under CADe system for polyp detection during second endoscopic withdrawal. |
|
| Measure | Description | Time Frame |
|---|---|---|
| polyp detection rate | the number of polyp detected during endoscopy | during endoscopy |
| Measure | Description | Time Frame |
|---|---|---|
| type of polyp | the type of polyp detected during endoscopy | during endoscopy |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Rajavithi Hospital | Recruiting | Bangkok | Bangkok | Thailand |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34218329 | Background | Kamba S, Tamai N, Saitoh I, Matsui H, Horiuchi H, Kobayashi M, Sakamoto T, Ego M, Fukuda A, Tonouchi A, Shimahara Y, Nishikawa M, Nishino H, Saito Y, Sumiyama K. Reducing adenoma miss rate of colonoscopy assisted by artificial intelligence: a multicenter randomized controlled trial. J Gastroenterol. 2021 Aug;56(8):746-757. doi: 10.1007/s00535-021-01808-w. Epub 2021 Jul 3. |
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| ID | Term |
|---|---|
| D003111 | Colonic Polyps |
| ID | Term |
|---|---|
| D007417 | Intestinal Polyps |
| D011127 | Polyps |
| D020763 | Pathological Conditions, Anatomical |
| D013568 | Pathological Conditions, Signs and Symptoms |
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Patients randomized to 4 arms: control with experienced operator, control with beginner operator, AI with experienced operator, AI with beginner operator
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The patients were masked from being randomized to operator and endoscopic method
| control | Device | The patient received endoscopy under conventional white light for polyp detection during second endoscopic withdrawal. |
|