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Real‐time use of a computer‐aided system for polyp detection during colonoscopy, an ambispective study

Objective This study aimed to evaluate ambispectively the effectiveness of a real‐time computer‐aided detection (CADe) system on the number of polyp (PPC) or adenoma per colonoscopy (APC), and polyp (PDR) or adenoma detection rate (ADR). Methods Eight‐five videos marked using the CADe system, togeth...

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Published in:Journal of digestive diseases 2021-05, Vol.22 (5), p.256-262
Main Authors: Shen, Ping, Li, Wei Zhi, Li, Jia Xin, Pei, Zheng Cun, Luo, Yu Xuan, Mu, Jin Bao, Li, Wen, Wang, Xi Mo
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container_title Journal of digestive diseases
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creator Shen, Ping
Li, Wei Zhi
Li, Jia Xin
Pei, Zheng Cun
Luo, Yu Xuan
Mu, Jin Bao
Li, Wen
Wang, Xi Mo
description Objective This study aimed to evaluate ambispectively the effectiveness of a real‐time computer‐aided detection (CADe) system on the number of polyp (PPC) or adenoma per colonoscopy (APC), and polyp (PDR) or adenoma detection rate (ADR). Methods Eight‐five videos marked using the CADe system, together with the unmarked videos, were reviewed by two senior endoscopists. Polyps detected in the marked and unmarked videos were recounted in parallel. Additionally, 128 consecutive patients were enrolled for a prospective evaluation using a standard colonoscopy or the CADe monitor alternately every 2 weeks. The PC, APC, PDR and ADR were compared between the two groups. Results The total number of polyps reported in the unmarked and marked videos were 73 and 88, respectively (mean PPC 0.86 vs 1.04, P = 0.001). The proportion of polyps detected per colonoscopy increased by 20.5%. Of the 128 prospectively enrolled patients, 186 polyps were detected. The mean PPC was higher in the CADe colonoscopy than in the standard colonoscopy (1.66 vs 1.13, P = 0.039). The PDR using the CADe colonoscopy was significantly higher than that of the standard colonoscopy (78.1% vs 56.3%, P = 0.008). Conclusion Real‐time CADe system significantly increases the PDR and PPC under the situation of a high rate of polyp detection. This study evaluated the performance of a computer‐aided detection system. Retrospectively review of colonoscopy videos using the system observed more polyps. Real‐time use of the system significantly increased the detected numbers of polyps and adenomas, as well as the detection rates.
doi_str_mv 10.1111/1751-2980.12985
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Methods Eight‐five videos marked using the CADe system, together with the unmarked videos, were reviewed by two senior endoscopists. Polyps detected in the marked and unmarked videos were recounted in parallel. Additionally, 128 consecutive patients were enrolled for a prospective evaluation using a standard colonoscopy or the CADe monitor alternately every 2 weeks. The PC, APC, PDR and ADR were compared between the two groups. Results The total number of polyps reported in the unmarked and marked videos were 73 and 88, respectively (mean PPC 0.86 vs 1.04, P = 0.001). The proportion of polyps detected per colonoscopy increased by 20.5%. Of the 128 prospectively enrolled patients, 186 polyps were detected. The mean PPC was higher in the CADe colonoscopy than in the standard colonoscopy (1.66 vs 1.13, P = 0.039). The PDR using the CADe colonoscopy was significantly higher than that of the standard colonoscopy (78.1% vs 56.3%, P = 0.008). Conclusion Real‐time CADe system significantly increases the PDR and PPC under the situation of a high rate of polyp detection. This study evaluated the performance of a computer‐aided detection system. Retrospectively review of colonoscopy videos using the system observed more polyps. Real‐time use of the system significantly increased the detected numbers of polyps and adenomas, as well as the detection rates.</description><identifier>ISSN: 1751-2972</identifier><identifier>EISSN: 1751-2980</identifier><identifier>DOI: 10.1111/1751-2980.12985</identifier><identifier>PMID: 33742774</identifier><language>eng</language><publisher>Melbourne: Wiley Publishing Asia Pty Ltd</publisher><subject>Adenoma ; adenoma detection rate ; Colon ; Colonoscopy ; computer‐aided detection system ; polyp detection rate ; polyp per colonoscopy ; Polyps ; Tumors</subject><ispartof>Journal of digestive diseases, 2021-05, Vol.22 (5), p.256-262</ispartof><rights>2021 Chinese Medical Association Shanghai Branch, Chinese Society of Gastroenterology, Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine and John Wiley &amp; Sons Australia, Ltd.</rights><rights>2021 Chinese Medical Association Shanghai Branch, Chinese Society of Gastroenterology, Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine and John Wiley &amp; Sons Australia, Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3715-ddfd58663a3ed0dd864a8afa2b1f8d55db7f783177a9c2c17daaeb96e9a51aa93</citedby><cites>FETCH-LOGICAL-c3715-ddfd58663a3ed0dd864a8afa2b1f8d55db7f783177a9c2c17daaeb96e9a51aa93</cites><orcidid>0000-0001-7717-623X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33742774$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shen, Ping</creatorcontrib><creatorcontrib>Li, Wei Zhi</creatorcontrib><creatorcontrib>Li, Jia Xin</creatorcontrib><creatorcontrib>Pei, Zheng Cun</creatorcontrib><creatorcontrib>Luo, Yu Xuan</creatorcontrib><creatorcontrib>Mu, Jin Bao</creatorcontrib><creatorcontrib>Li, Wen</creatorcontrib><creatorcontrib>Wang, Xi Mo</creatorcontrib><title>Real‐time use of a computer‐aided system for polyp detection during colonoscopy, an ambispective study</title><title>Journal of digestive diseases</title><addtitle>J Dig Dis</addtitle><description>Objective This study aimed to evaluate ambispectively the effectiveness of a real‐time computer‐aided detection (CADe) system on the number of polyp (PPC) or adenoma per colonoscopy (APC), and polyp (PDR) or adenoma detection rate (ADR). Methods Eight‐five videos marked using the CADe system, together with the unmarked videos, were reviewed by two senior endoscopists. Polyps detected in the marked and unmarked videos were recounted in parallel. Additionally, 128 consecutive patients were enrolled for a prospective evaluation using a standard colonoscopy or the CADe monitor alternately every 2 weeks. The PC, APC, PDR and ADR were compared between the two groups. Results The total number of polyps reported in the unmarked and marked videos were 73 and 88, respectively (mean PPC 0.86 vs 1.04, P = 0.001). The proportion of polyps detected per colonoscopy increased by 20.5%. Of the 128 prospectively enrolled patients, 186 polyps were detected. The mean PPC was higher in the CADe colonoscopy than in the standard colonoscopy (1.66 vs 1.13, P = 0.039). The PDR using the CADe colonoscopy was significantly higher than that of the standard colonoscopy (78.1% vs 56.3%, P = 0.008). Conclusion Real‐time CADe system significantly increases the PDR and PPC under the situation of a high rate of polyp detection. This study evaluated the performance of a computer‐aided detection system. Retrospectively review of colonoscopy videos using the system observed more polyps. Real‐time use of the system significantly increased the detected numbers of polyps and adenomas, as well as the detection rates.</description><subject>Adenoma</subject><subject>adenoma detection rate</subject><subject>Colon</subject><subject>Colonoscopy</subject><subject>computer‐aided detection system</subject><subject>polyp detection rate</subject><subject>polyp per colonoscopy</subject><subject>Polyps</subject><subject>Tumors</subject><issn>1751-2972</issn><issn>1751-2980</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkb9OwzAQxi0EolCY2ZAlFgZC46SOkxG1_JMqISGYrUt8QamSONgJKBuPwDPyJDikdGDBg31n_-7T-TtCTph_ydyaMcGZFySxS93Od8jB9mZ3G4tgQg6tXfs-j0Qc7ZNJGIp5IMT8gKwfEcqvj8-2qJB2FqnOKdBMV03XonEPUChU1Pa2xYrm2tBGl31DFbaYtYWuqepMUb-4klLX2ma66S8o1BSqtLDNwLwhtW2n-iOyl0Np8XhzTsnzzfXT4s5bPdzeL65WXhYKxj2lcsXjKAohROUrFUdziCGHIGV5rDhXqchFHDIhIMmCjAkFgGkSYQKcASThlJyPuo3Rrx3aVlaFzbAsoUbdWRlwP5y77ye-Q8_-oGvdmdp156iAszhhXDhqNlKZ0dYazGVjigpML5kvhzHIwWg5mC5_xuAqTje6XVqh2vK_vjuAj8B7UWL_n55cLJej8DfabJU2</recordid><startdate>202105</startdate><enddate>202105</enddate><creator>Shen, Ping</creator><creator>Li, Wei Zhi</creator><creator>Li, Jia Xin</creator><creator>Pei, Zheng Cun</creator><creator>Luo, Yu Xuan</creator><creator>Mu, Jin Bao</creator><creator>Li, Wen</creator><creator>Wang, Xi Mo</creator><general>Wiley Publishing Asia Pty Ltd</general><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7717-623X</orcidid></search><sort><creationdate>202105</creationdate><title>Real‐time use of a computer‐aided system for polyp detection during colonoscopy, an ambispective study</title><author>Shen, Ping ; Li, Wei Zhi ; Li, Jia Xin ; Pei, Zheng Cun ; Luo, Yu Xuan ; Mu, Jin Bao ; Li, Wen ; Wang, Xi Mo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3715-ddfd58663a3ed0dd864a8afa2b1f8d55db7f783177a9c2c17daaeb96e9a51aa93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adenoma</topic><topic>adenoma detection rate</topic><topic>Colon</topic><topic>Colonoscopy</topic><topic>computer‐aided detection system</topic><topic>polyp detection rate</topic><topic>polyp per colonoscopy</topic><topic>Polyps</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Ping</creatorcontrib><creatorcontrib>Li, Wei Zhi</creatorcontrib><creatorcontrib>Li, Jia Xin</creatorcontrib><creatorcontrib>Pei, Zheng Cun</creatorcontrib><creatorcontrib>Luo, Yu Xuan</creatorcontrib><creatorcontrib>Mu, Jin Bao</creatorcontrib><creatorcontrib>Li, Wen</creatorcontrib><creatorcontrib>Wang, Xi Mo</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of digestive diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Ping</au><au>Li, Wei Zhi</au><au>Li, Jia Xin</au><au>Pei, Zheng Cun</au><au>Luo, Yu Xuan</au><au>Mu, Jin Bao</au><au>Li, Wen</au><au>Wang, Xi Mo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Real‐time use of a computer‐aided system for polyp detection during colonoscopy, an ambispective study</atitle><jtitle>Journal of digestive diseases</jtitle><addtitle>J Dig Dis</addtitle><date>2021-05</date><risdate>2021</risdate><volume>22</volume><issue>5</issue><spage>256</spage><epage>262</epage><pages>256-262</pages><issn>1751-2972</issn><eissn>1751-2980</eissn><abstract>Objective This study aimed to evaluate ambispectively the effectiveness of a real‐time computer‐aided detection (CADe) system on the number of polyp (PPC) or adenoma per colonoscopy (APC), and polyp (PDR) or adenoma detection rate (ADR). Methods Eight‐five videos marked using the CADe system, together with the unmarked videos, were reviewed by two senior endoscopists. Polyps detected in the marked and unmarked videos were recounted in parallel. Additionally, 128 consecutive patients were enrolled for a prospective evaluation using a standard colonoscopy or the CADe monitor alternately every 2 weeks. The PC, APC, PDR and ADR were compared between the two groups. Results The total number of polyps reported in the unmarked and marked videos were 73 and 88, respectively (mean PPC 0.86 vs 1.04, P = 0.001). The proportion of polyps detected per colonoscopy increased by 20.5%. Of the 128 prospectively enrolled patients, 186 polyps were detected. The mean PPC was higher in the CADe colonoscopy than in the standard colonoscopy (1.66 vs 1.13, P = 0.039). The PDR using the CADe colonoscopy was significantly higher than that of the standard colonoscopy (78.1% vs 56.3%, P = 0.008). Conclusion Real‐time CADe system significantly increases the PDR and PPC under the situation of a high rate of polyp detection. This study evaluated the performance of a computer‐aided detection system. Retrospectively review of colonoscopy videos using the system observed more polyps. Real‐time use of the system significantly increased the detected numbers of polyps and adenomas, as well as the detection rates.</abstract><cop>Melbourne</cop><pub>Wiley Publishing Asia Pty Ltd</pub><pmid>33742774</pmid><doi>10.1111/1751-2980.12985</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-7717-623X</orcidid></addata></record>
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subjects Adenoma
adenoma detection rate
Colon
Colonoscopy
computer‐aided detection system
polyp detection rate
polyp per colonoscopy
Polyps
Tumors
title Real‐time use of a computer‐aided system for polyp detection during colonoscopy, an ambispective study
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