Improvement in adenoma detection using a novel artificial intelligence-aided polyp detection device
| Autor: | Daniel Colucci, Sloane Phillips, Juan Eugenio Iglesias, Jonathan Ng, Samuel Somers, Lavi Erisson, John R. Saltzman, Aasma Shaukat, William R. Brugge |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Original article
medicine.diagnostic_test Adenoma business.industry Colonoscopy medicine.disease Resection Endoscopy Hyperplastic Polyp Concomitant Cohort Medicine Pharmacology (medical) Surveillance colonoscopy lcsh:Diseases of the digestive system. Gastroenterology Artificial intelligence lcsh:RC799-869 business |
| Zdroj: | Endoscopy International Open, Vol 09, Iss 02, Pp E263-E270 (2021) Endoscopy International Open |
| ISSN: | 2196-9736 2364-3722 |
| Popis: | Background and study aims Detecting colorectal neoplasia is the goal of high-quality screening and surveillance colonoscopy, as reflected by high adenoma detection rate (ADR) and adenomas per colonoscopy (APC). The aim of our study was to evaluate the performance of a novel artificial intelligence (AI)-aided polyp detection device, Skout, with the primary endpoints of ADR and APC in routine colonoscopy. Patients and methods We compared ADR and APC in a cohort of outpatients undergoing routine high-resolution colonoscopy with and without the use of a real-time, AI-aided polyp detection device. Patients undergoing colonoscopy with Skout were enrolled in a single-arm, unblinded, prospective trial and the results were compared with a historical cohort. All resected polyps were examined histologically. Results Eighty-three patients undergoing screening and surveillance colonoscopy at an outpatient endoscopy center were enrolled and outcomes compared with 283 historical control patients. Overall, ADR with and without Skout was 54.2 % and 40.6 % respectively (P = 0.028) and 53.6 % and 30.8 %, respectively, in screening exams (P = 0.024). Overall, APC rate with and without Skout was 1.46 and 1.01, respectively, (P = 0.104) and 1.18 and 0.50, respectively, in screening exams (P = 0.002). Overall, true histology rate (THR) with and without Skout was 73.8 % and 78.4 %, respectively, (P = 0.463) and 75.0 % and 71.0 %, respectively, in screening exams (P = 0.731). Conclusion We have demonstrated that our novel AI-aided polyp detection device increased the ADR in a cohort of patients undergoing screening and surveillance colonoscopy without a significant concomitant increase in hyperplastic polyp resection. AI-aided colonoscopy has the potential for improving the outcomes of patients undergoing colonoscopy. |
| Databáze: | OpenAIRE |
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