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Artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference

Background Measurement of colorectal polyp size during endoscopy is mainly performed visually. In this work, we propose a novel polyp size measurement system (Poseidon) based on artificial intelligence (AI) using the auxiliary waterjet as a measurement reference. Methods Visual estimation, biopsy fo...

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Autores principales: Sudarevic, Boban, Sodmann, Philipp, Kafetzis, Ioannis, Troya, Joel, Lux, Thomas J., Saßmannshausen, Zita, Herlod, Katja, Schmidt, Stefan A., Brand, Markus, Schöttker, Katrin, Zoller, Wolfram G., Meining, Alexander, Hann, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465238/
https://www.ncbi.nlm.nih.gov/pubmed/37080235
http://dx.doi.org/10.1055/a-2077-7398
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author Sudarevic, Boban
Sodmann, Philipp
Kafetzis, Ioannis
Troya, Joel
Lux, Thomas J.
Saßmannshausen, Zita
Herlod, Katja
Schmidt, Stefan A.
Brand, Markus
Schöttker, Katrin
Zoller, Wolfram G.
Meining, Alexander
Hann, Alexander
author_facet Sudarevic, Boban
Sodmann, Philipp
Kafetzis, Ioannis
Troya, Joel
Lux, Thomas J.
Saßmannshausen, Zita
Herlod, Katja
Schmidt, Stefan A.
Brand, Markus
Schöttker, Katrin
Zoller, Wolfram G.
Meining, Alexander
Hann, Alexander
author_sort Sudarevic, Boban
collection PubMed
description Background Measurement of colorectal polyp size during endoscopy is mainly performed visually. In this work, we propose a novel polyp size measurement system (Poseidon) based on artificial intelligence (AI) using the auxiliary waterjet as a measurement reference. Methods Visual estimation, biopsy forceps-based estimation, and Poseidon were compared using a computed tomography colonography-based silicone model with 28 polyps of defined sizes. Four experienced gastroenterologists estimated polyp sizes visually and with biopsy forceps. Furthermore, the gastroenterologists recorded images of each polyp with the waterjet in proximity for the application of Poseidon. Additionally, Poseidon's measurements of 29 colorectal polyps during routine clinical practice were compared with visual estimates. Results In the silicone model, visual estimation had the largest median percentage error of 25.1 % (95 %CI 19.1 %–30.4 %), followed by biopsy forceps-based estimation: median 20.0 % (95 %CI 14.4 %–25.6 %). Poseidon gave a significantly lower median percentage error of 7.4 % (95 %CI 5.0 %–9.4 %) compared with other methods. During routine colonoscopies, Poseidon presented a significantly lower median percentage error (7.7 %, 95 %CI 6.1 %–9.3 %) than visual estimation (22.1 %, 95 %CI 15.1 %–26.9 %). Conclusion In this work, we present a novel AI-based method for measuring colorectal polyp size with significantly higher accuracy than other common sizing methods.
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spelling pubmed-104652382023-08-30 Artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference Sudarevic, Boban Sodmann, Philipp Kafetzis, Ioannis Troya, Joel Lux, Thomas J. Saßmannshausen, Zita Herlod, Katja Schmidt, Stefan A. Brand, Markus Schöttker, Katrin Zoller, Wolfram G. Meining, Alexander Hann, Alexander Endoscopy Background Measurement of colorectal polyp size during endoscopy is mainly performed visually. In this work, we propose a novel polyp size measurement system (Poseidon) based on artificial intelligence (AI) using the auxiliary waterjet as a measurement reference. Methods Visual estimation, biopsy forceps-based estimation, and Poseidon were compared using a computed tomography colonography-based silicone model with 28 polyps of defined sizes. Four experienced gastroenterologists estimated polyp sizes visually and with biopsy forceps. Furthermore, the gastroenterologists recorded images of each polyp with the waterjet in proximity for the application of Poseidon. Additionally, Poseidon's measurements of 29 colorectal polyps during routine clinical practice were compared with visual estimates. Results In the silicone model, visual estimation had the largest median percentage error of 25.1 % (95 %CI 19.1 %–30.4 %), followed by biopsy forceps-based estimation: median 20.0 % (95 %CI 14.4 %–25.6 %). Poseidon gave a significantly lower median percentage error of 7.4 % (95 %CI 5.0 %–9.4 %) compared with other methods. During routine colonoscopies, Poseidon presented a significantly lower median percentage error (7.7 %, 95 %CI 6.1 %–9.3 %) than visual estimation (22.1 %, 95 %CI 15.1 %–26.9 %). Conclusion In this work, we present a novel AI-based method for measuring colorectal polyp size with significantly higher accuracy than other common sizing methods. Georg Thieme Verlag KG 2023-07-12 /pmc/articles/PMC10465238/ /pubmed/37080235 http://dx.doi.org/10.1055/a-2077-7398 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Sudarevic, Boban
Sodmann, Philipp
Kafetzis, Ioannis
Troya, Joel
Lux, Thomas J.
Saßmannshausen, Zita
Herlod, Katja
Schmidt, Stefan A.
Brand, Markus
Schöttker, Katrin
Zoller, Wolfram G.
Meining, Alexander
Hann, Alexander
Artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference
title Artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference
title_full Artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference
title_fullStr Artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference
title_full_unstemmed Artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference
title_short Artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference
title_sort artificial intelligence-based polyp size measurement in gastrointestinal endoscopy using the auxiliary waterjet as a reference
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465238/
https://www.ncbi.nlm.nih.gov/pubmed/37080235
http://dx.doi.org/10.1055/a-2077-7398
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