Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy

Background/Aim: To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy. Materials and Methods: A total of 1026 patients were prospectively randomly scheduled for colonoscopy with (the CADe group, CADe) or without (the control group,...

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Published inSaudi journal of gastroenterology Vol. 26; no. 1; pp. 13 - 19
Main Authors Liu, Wen-Na, Zhang, Yang-Yang, Bian, Xu-Qiang, Wang, Li-Juan, Yang, Qiang, Zhang, Xi-Dou, Huang, Jin
Format Journal Article
LanguageEnglish
Published India Wolters Kluwer India Pvt. Ltd 01.01.2020
Medknow Publications and Media Pvt. Ltd
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ISSN1319-3767
1998-4049
1998-4049
DOI10.4103/sjg.SJG_377_19

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Abstract Background/Aim: To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy. Materials and Methods: A total of 1026 patients were prospectively randomly scheduled for colonoscopy with (the CADe group, CADe) or without (the control group, CON) the aid of the CADe system, together with visual notification and voice alarm, so as to compare the detection rate of polyp. Results: Compared with group CON, the detection rate of adenomas increased in group CADe, the average number of adenomas increased, the number of small adenomas increased, the number of proliferative polyps increased, and the differences were statistically significant (P < 0.001), but the comparison for the number of larger adenomas showed no significant difference between the groups (P> 0.05). Conclusions: The CADe system is feasible for increasing the detection of polyps and adenomas in colonoscopy.
AbstractList To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy. A total of 1026 patients were prospectively randomly scheduled for colonoscopy with (the CADe group, CADe) or without (the control group, CON) the aid of the CADe system, together with visual notification and voice alarm, so as to compare the detection rate of polyp. Compared with group CON, the detection rate of adenomas increased in group CADe, the average number of adenomas increased, the number of small adenomas increased, the number of proliferative polyps increased, and the differences were statistically significant (P < 0.001), but the comparison for the number of larger adenomas showed no significant difference between the groups (P> 0.05). The CADe system is feasible for increasing the detection of polyps and adenomas in colonoscopy.
Background/Aim: To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy. Materials and Methods: A total of 1026 patients were prospectively randomly scheduled for colonoscopy with (the CADe group, CADe) or without (the control group, CON) the aid of the CADe system, together with visual notification and voice alarm, so as to compare the detection rate of polyp. Results: Compared with group CON, the detection rate of adenomas increased in group CADe, the average number of adenomas increased, the number of small adenomas increased, the number of proliferative polyps increased, and the differences were statistically significant (P < 0.001), but the comparison for the number of larger adenomas showed no significant difference between the groups (P> 0.05). Conclusions: The CADe system is feasible for increasing the detection of polyps and adenomas in colonoscopy.
To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy.BACKGROUND/AIMTo study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy.A total of 1026 patients were prospectively randomly scheduled for colonoscopy with (the CADe group, CADe) or without (the control group, CON) the aid of the CADe system, together with visual notification and voice alarm, so as to compare the detection rate of polyp.MATERIALS AND METHODSA total of 1026 patients were prospectively randomly scheduled for colonoscopy with (the CADe group, CADe) or without (the control group, CON) the aid of the CADe system, together with visual notification and voice alarm, so as to compare the detection rate of polyp.Compared with group CON, the detection rate of adenomas increased in group CADe, the average number of adenomas increased, the number of small adenomas increased, the number of proliferative polyps increased, and the differences were statistically significant (P < 0.001), but the comparison for the number of larger adenomas showed no significant difference between the groups (P> 0.05).RESULTSCompared with group CON, the detection rate of adenomas increased in group CADe, the average number of adenomas increased, the number of small adenomas increased, the number of proliferative polyps increased, and the differences were statistically significant (P < 0.001), but the comparison for the number of larger adenomas showed no significant difference between the groups (P> 0.05).The CADe system is feasible for increasing the detection of polyps and adenomas in colonoscopy.CONCLUSIONSThe CADe system is feasible for increasing the detection of polyps and adenomas in colonoscopy.
Background/Aim: To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy. Materials and Methods: A total of 1026 patients were prospectively randomly scheduled for colonoscopy with (the CADe group, CADe) or without (the control group, CON) the aid of the CADe system, together with visual notification and voice alarm, so as to compare the detection rate of polyp. Results: Compared with group CON, the detection rate of adenomas increased in group CADe, the average number of adenomas increased, the number of small adenomas increased, the number of proliferative polyps increased, and the differences were statistically significant (P < 0.001), but the comparison for the number of larger adenomas showed no significant difference between the groups (P> 0.05). Conclusions: The CADe system is feasible for increasing the detection of polyps and adenomas in colonoscopy.
Audience Academic
Author Liu, Wen-Na
Huang, Jin
Zhang, Xi-Dou
Zhang, Yang-Yang
Bian, Xu-Qiang
Wang, Li-Juan
Yang, Qiang
AuthorAffiliation Department of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou, China
AuthorAffiliation_xml – name: Department of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou, China
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  fullname: Zhang, Yang-Yang
  organization: Department of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou
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  surname: Bian
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  organization: Department of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou
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  givenname: Jin
  surname: Huang
  fullname: Huang, Jin
  organization: Department of Digestive Endoscopy, No. 988 Hospital of Joint Logistic Support Force of PLA, Zhengzhou
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31898644$$D View this record in MEDLINE/PubMed
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Issue 1
Keywords detection rate
polyp
Adenoma
colonoscopy
artificial intelligence
Language English
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Snippet Background/Aim: To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy. Materials and...
To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy. A total of 1026 patients were...
Background/Aim: To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy. Materials and...
To study the impact of computer-aided detection (CADe) system on the detection rate of polyps and adenomas in colonoscopy.BACKGROUND/AIMTo study the impact of...
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StartPage 13
SubjectTerms adenoma
Adenoma - diagnosis
Adenoma - pathology
Adult
Artificial intelligence
Artificial Intelligence - statistics & numerical data
Biopsy
Colon
Colonic Polyps - diagnosis
Colonic Polyps - pathology
Colonoscopy
Colonoscopy - methods
Deep learning
detection rate
Diagnosis, Computer-Assisted - methods
Endoscopy
Female
Human error
Humans
Logistics
Machine learning
Male
Middle Aged
Neural networks
Nurses
Original
Performance evaluation
Polyethylene glycol
polyp
Polyps
Prospective Studies
Statistical analysis
Tumors
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Title Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy
URI http://www.saudijgastro.com/article.asp?issn=1319-3767;year=2020;volume=26;issue=1;spage=13;epage=19;aulast=Liu;type=0
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