Academic Journal
Real-World Experience of AI-Assisted Endocytoscopy Using EndoBRAIN—An Observational Study from a Tertiary Care Center
| Title: | Real-World Experience of AI-Assisted Endocytoscopy Using EndoBRAIN—An Observational Study from a Tertiary Care Center |
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| Authors: | Anudeep Katrevula, Goutham Reddy Katukuri, Aniruddha Pratap Singh, Pradev Inavolu, Hardik Rughwani, Siddhartha Reddy Alla, Mohan Ramchandani, Nageshwar Reddy Duvvur |
| Source: | Journal of Digestive Endoscopy, Vol 14, Iss 01, Pp 003-007 (2023) |
| Publisher Information: | Thieme Medical and Scientific Publishers Pvt. Ltd., 2023. |
| Publication Year: | 2023 |
| Collection: | LCC:Diseases of the digestive system. Gastroenterology |
| Subject Terms: | endobrain, endocytoscopy, polyp, Diseases of the digestive system. Gastroenterology, RC799-869 |
| More Details: | Background and Aims Precise optical diagnosis of colorectal polyps could improve the cost-effectiveness of colonoscopy and reduce polypectomy-related complications. We conducted this study to estimate the diagnostic performance of visual inspection alone (WLI + NBI) and of EndoBRAIN (endocytoscopy-computer-aided diagnosis [EC-CAD]) in identifying a lesion as neoplastic or nonneoplastic using EC in real-world scenario. Methods In this observational, prospective, pilot study, a total of 55 polyps were studied in the patients aged more than or equal to 18 years. EndoBRAIN is an artificial intelligence (AI)-based system that analyzes cell nuclei, crypt structure, and vessel pattern in differentiating neoplastic and nonneoplastic lesion in real-time. Endoscopist assessed polyps using white light imaging (WLI), narrow band imaging (NBI) initially followed by assessment using EC with NBI and EC with methylene blue staining. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of endoscopist and EndoBRAIN in identifying the neoplastic from nonneoplastic polyp was compared using histopathology as gold-standard. Results A total of 55 polyps were studied, in which most of them were diminutive (36/55) and located in rectum (21/55). The image acquisition rate was 78% (43/55) and histopathology of the majority was identified to be hyperplastic (20/43) and low-grade adenoma (16/43). EndoBRAIN identified colonic polyps with 100% sensitivity, 81.82% specificity (95% confidence interval [CI], 59.7–94.8%), 90.7% accuracy (95% CI, 77.86–97.41%), 84% positive predictive value (95% CI, 68.4–92.72%), and 100% negative predictive value. The sensitivity and negative predictive value were significantly greater than visual inspection of endoscopist. The diagnostic accuracy seems to be superior; however, it did not reach statistical significance. Specificity and positive predictive value were similar in both groups. Conclusion Optical diagnosis using EC and EC-CAD has a potential role in predicting the histopathological diagnosis. The diagnostic performance of CAD seems to be better than endoscopist using EC for predicting neoplastic lesions. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 0976-5042 0976-5050 0042-1758 |
| Relation: | https://doaj.org/toc/0976-5042; https://doaj.org/toc/0976-5050 |
| DOI: | 10.1055/s-0042-1758535 |
| Access URL: | https://doaj.org/article/ed39835d279b41bd8f751c6199cecf93 |
| Accession Number: | edsdoj.39835d279b41bd8f751c6199cecf93 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 09765042 09765050 00421758 |
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| DOI: | 10.1055/s-0042-1758535 |
| Published in: | Journal of Digestive Endoscopy |
| Language: | English |