Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)

<p><strong>Background and Aims</strong> Artificial intelligence (AI) is being implemented in colonoscopy practice, but no study has investigated whether AI is cost saving. We aimed to quantify the cost reduction using AI as an aid in the optical diagnosis of colorectal polyps.</...

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Opis bibliograficzny
Główni autorzy: Mori, Y, Kudo, S-E, East, JE, Rastogi, A, Bretthauer, M, Misawa, M, Sekiguchi, M, Matsuda, T, Saito, Y, Ikematsu, H, Hotta, K, Ohtsuka, K, Kudo, T, Mori, K
Format: Journal article
Język:English
Wydane: Elsevier 2020
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author Mori, Y
Kudo, S-E
East, JE
Rastogi, A
Bretthauer, M
Misawa, M
Sekiguchi, M
Matsuda, T
Saito, Y
Ikematsu, H
Hotta, K
Ohtsuka, K
Kudo, T
Mori, K
author_facet Mori, Y
Kudo, S-E
East, JE
Rastogi, A
Bretthauer, M
Misawa, M
Sekiguchi, M
Matsuda, T
Saito, Y
Ikematsu, H
Hotta, K
Ohtsuka, K
Kudo, T
Mori, K
author_sort Mori, Y
collection OXFORD
description <p><strong>Background and Aims</strong> Artificial intelligence (AI) is being implemented in colonoscopy practice, but no study has investigated whether AI is cost saving. We aimed to quantify the cost reduction using AI as an aid in the optical diagnosis of colorectal polyps.</p> <p><strong>Methods</strong> This study is an add-on analysis of a clinical trial that investigated the performance of AI for differentiating colorectal polyps (ie, neoplastic versus non-neoplastic). We included all patients with diminutive (≤5 mm) rectosigmoid polyps in the analyses. The average colonoscopy cost was compared for 2 scenarios: (1) a diagnose-and-leave strategy supported by the AI prediction (ie, diminutive rectosigmoid polyps were not removed when predicted as non-neoplastic), and (2) a resect-all-polyps strategy. Gross annual costs for colonoscopies were also calculated based on the number and reimbursement of colonoscopies conducted under public health insurances in 4 countries.</p> <p><strong>Results</strong> Overall, 207 patients with 250 diminutive rectosigmoid polyps (104 neoplastic, 144 non-neoplastic, and 2 indeterminate) were included. AI correctly differentiated neoplastic polyps with 93.3% sensitivity, 95.2% specificity, and 95.2% negative predictive value. Thus, 105 polyps were removed and 145 were left under the diagnose-and-leave strategy, which was estimated to reduce the average colonoscopy cost and the gross annual reimbursement for colonoscopies by 18.9% and US$149.2 million in Japan, 6.9% and US$12.3 million in England, 7.6% and US$1.1 million in Norway, and 10.9% and US$85.2 million in the United States, respectively, compared with the resect-all-polyps strategy.</p> <p><strong>Conclusions</strong> The use of AI to enable the diagnose-and-leave strategy results in substantial cost reductions for colonoscopy.</p>
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spelling oxford-uuid:10b29a4a-1bfe-4f48-9247-3d51c7a6f0322022-03-26T09:57:50ZCost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:10b29a4a-1bfe-4f48-9247-3d51c7a6f032EnglishSymplectic ElementsElsevier2020Mori, YKudo, S-EEast, JERastogi, ABretthauer, MMisawa, MSekiguchi, MMatsuda, TSaito, YIkematsu, HHotta, KOhtsuka, KKudo, TMori, K<p><strong>Background and Aims</strong> Artificial intelligence (AI) is being implemented in colonoscopy practice, but no study has investigated whether AI is cost saving. We aimed to quantify the cost reduction using AI as an aid in the optical diagnosis of colorectal polyps.</p> <p><strong>Methods</strong> This study is an add-on analysis of a clinical trial that investigated the performance of AI for differentiating colorectal polyps (ie, neoplastic versus non-neoplastic). We included all patients with diminutive (≤5 mm) rectosigmoid polyps in the analyses. The average colonoscopy cost was compared for 2 scenarios: (1) a diagnose-and-leave strategy supported by the AI prediction (ie, diminutive rectosigmoid polyps were not removed when predicted as non-neoplastic), and (2) a resect-all-polyps strategy. Gross annual costs for colonoscopies were also calculated based on the number and reimbursement of colonoscopies conducted under public health insurances in 4 countries.</p> <p><strong>Results</strong> Overall, 207 patients with 250 diminutive rectosigmoid polyps (104 neoplastic, 144 non-neoplastic, and 2 indeterminate) were included. AI correctly differentiated neoplastic polyps with 93.3% sensitivity, 95.2% specificity, and 95.2% negative predictive value. Thus, 105 polyps were removed and 145 were left under the diagnose-and-leave strategy, which was estimated to reduce the average colonoscopy cost and the gross annual reimbursement for colonoscopies by 18.9% and US$149.2 million in Japan, 6.9% and US$12.3 million in England, 7.6% and US$1.1 million in Norway, and 10.9% and US$85.2 million in the United States, respectively, compared with the resect-all-polyps strategy.</p> <p><strong>Conclusions</strong> The use of AI to enable the diagnose-and-leave strategy results in substantial cost reductions for colonoscopy.</p>
spellingShingle Mori, Y
Kudo, S-E
East, JE
Rastogi, A
Bretthauer, M
Misawa, M
Sekiguchi, M
Matsuda, T
Saito, Y
Ikematsu, H
Hotta, K
Ohtsuka, K
Kudo, T
Mori, K
Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)
title Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)
title_full Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)
title_fullStr Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)
title_full_unstemmed Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)
title_short Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)
title_sort cost savings in colonoscopy with artificial intelligence aided polyp diagnosis an add on analysis of a clinical trial with video
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