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Accurate measurement of colorectal polyps using computer-aided analysis.

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机构： [1]The School of Clinical Medicine, Fujian Medical University, Fuzhou, [2]Department of Gastroenterology, Zhongshan Hospital Xiamen University, Xiamen, [3]Pucheng County Hospital of Traditional Chinese Medicine, Pucheng, Fujian Province, People’s Republic of China, [4]Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, USA [5]Department of Gastroenterology, Shenzhen Longgang District People's Hospital, Shenzhen, Guangdong, Province, People’s Republic of China

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关键词： colorectal cancer computer-aided diagnosis image segmentation technique polyps

摘要：

As we know, the majority of colorectal cancers are thought to evolve from colorectal adenomas. In this study, we explored the use of Computer-aided diagnosis (CAD) in the detection of colorectal polyps and the estimation of their sizes, which is important for the diagnosis and management of colorectal cancer. As the distance between colonoscopy and lesion increases, magnification tends to decrease. Therefore, the size of colorectal polyps can be calculated by taking into account the captured image and the shooting distance. In this study, the fitting curve of the magnification of electronic colonoscopy was obtained by simulating intestinal tract and polyps in vitro. Then, the distance was artificially controlled in the endoscopic operation, and the image was taken at a preset distance. The CAD system was then trained on the overall shape of colorectal polyps. Image segmentation was employed to accurately identify colorectal polyps. Finally, on the basis of the magnification factor, the real value of polyps was predicted from the shooting distance and the segmentation image size. The CAD system can automatically calculate the range of colorectal polyps and calculate the true size of the colorectal polyps according to the magnification of the corresponding distance. In this study, we developed a method of accurately estimating the size of colorectal polyps. This approach is compatible with many devices, which would expand its range of applications. This method has the potential for application in other areas of clinical diagnosis. Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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出版当年[2020]版：

大类 | 4 区医学

小类 | 4 区胃肠肝病学

最新[2025]版：

大类 | 4 区医学

小类 | 4 区胃肠肝病学

第一作者：

第一作者机构： [1]The School of Clinical Medicine, Fujian Medical University, Fuzhou,

通讯作者：

通讯机构： [2]Department of Gastroenterology, Zhongshan Hospital Xiamen University, Xiamen, [*1]Department of Gastroenterology, Zhongshan Hospital Xiamen University, Fujian Province, People’s Republic of China

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