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Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis
Background and Aims Screening colonoscopy has significantly contributed to the reduction of the incidence of colorectal cancer (CRC) and its associated mortality, with adenoma detection rate (ADR) as the quality marker. To increase the ADR, various solutions have been proposed including the utilizat...
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| Published in: | Digestive diseases and sciences 2024-04, Vol.69 (4), p.1380-1388 |
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| container_title | Digestive diseases and sciences |
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| creator | Gangwani, Manesh Kumar Haghbin, Hossein Ishtiaq, Rizwan Hasan, Fariha Dillard, Julia Jaber, Fouad Dahiya, Dushyant Singh Ali, Hassam Salim, Shaharyar Lee-Smith, Wade Sohail, Amir Humza Inamdar, Sumant Aziz, Muhammad Hart, Benjamin |
| description | Background and Aims
Screening colonoscopy has significantly contributed to the reduction of the incidence of colorectal cancer (CRC) and its associated mortality, with adenoma detection rate (ADR) as the quality marker. To increase the ADR, various solutions have been proposed including the utilization of Artificial Intelligence (AI) and employing second observers during colonoscopies. In the interest of AI improving ADR independently, without a second observer, and the operational similarity between AI and second observer, this network meta-analysis aims at evaluating the effectiveness of AI, second observer, and a single observer in improving ADR.
Methods
We searched the Medline, Embase, Cochrane, Web of Science Core Collection, Korean Citation Index, SciELO, Global Index Medicus, and Cochrane. A direct head-to-head comparator analysis and network meta-analysis were performed using the random-effects model. The odds ratio (OR) was calculated with a 95% confidence interval (CI) and
p
-value |
| doi_str_mv | 10.1007/s10620-024-08341-9 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2937338120</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3040989248</sourcerecordid><originalsourceid>FETCH-LOGICAL-c370t-8a48fe6bc6e1913d0cf3f8c62e1eee3f6e9623608ba6ea33e6abfff14b79a7713</originalsourceid><addsrcrecordid>eNp9kcFu1DAQhi0EotvCC3BAlrhwCdhx6tjHaFugUtuVKHC1HO94ScnaW49TtLdKvAJPyJNgum2ROHDyWPPNb48-Ql5w9oYz1r5FzmTNKlY3FVOi4ZV-RGb8sBVVfSjVYzJjXJaac7lH9hEvGWO65fIp2ROqEVJJOSM_LoawGoF-gYQT0gtwMSzpokdI15DoNdIu5cEPbrAjPQkZxnFYQXBAcyx3l8Biqb8C7Y6OzxdnHT2CDC4PMdCPNgONns7jGENEFzfbXzc_O3oO-XtM32gX7LjFAZ-RJ96OCM_vzgPy-d3xp_mH6nTx_mTenVZOtCxXyjbKg-ydBK65WDLnhVdO1sABQHgJWtZCMtVbCVYIkLb33vOmb7VtWy4OyOtd7ibFqwkwm_WArmxkA8QJTa1FK4TiNSvoq3_Qyzil8l80gjVMK103qlD1jnIpIibwZpOGtU1bw5n5o8jsFJmiyNwqMroMvbyLnvo1LB9G7p0UQOwALK2wgvT37f_E_gZFxZ3l</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3040989248</pqid></control><display><type>article</type><title>Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis</title><source>Springer Nature</source><creator>Gangwani, Manesh Kumar ; Haghbin, Hossein ; Ishtiaq, Rizwan ; Hasan, Fariha ; Dillard, Julia ; Jaber, Fouad ; Dahiya, Dushyant Singh ; Ali, Hassam ; Salim, Shaharyar ; Lee-Smith, Wade ; Sohail, Amir Humza ; Inamdar, Sumant ; Aziz, Muhammad ; Hart, Benjamin</creator><creatorcontrib>Gangwani, Manesh Kumar ; Haghbin, Hossein ; Ishtiaq, Rizwan ; Hasan, Fariha ; Dillard, Julia ; Jaber, Fouad ; Dahiya, Dushyant Singh ; Ali, Hassam ; Salim, Shaharyar ; Lee-Smith, Wade ; Sohail, Amir Humza ; Inamdar, Sumant ; Aziz, Muhammad ; Hart, Benjamin</creatorcontrib><description>Background and Aims
Screening colonoscopy has significantly contributed to the reduction of the incidence of colorectal cancer (CRC) and its associated mortality, with adenoma detection rate (ADR) as the quality marker. To increase the ADR, various solutions have been proposed including the utilization of Artificial Intelligence (AI) and employing second observers during colonoscopies. In the interest of AI improving ADR independently, without a second observer, and the operational similarity between AI and second observer, this network meta-analysis aims at evaluating the effectiveness of AI, second observer, and a single observer in improving ADR.
Methods
We searched the Medline, Embase, Cochrane, Web of Science Core Collection, Korean Citation Index, SciELO, Global Index Medicus, and Cochrane. A direct head-to-head comparator analysis and network meta-analysis were performed using the random-effects model. The odds ratio (OR) was calculated with a 95% confidence interval (CI) and
p
-value < 0.05 was considered statistically significant.
Results
We analyzed 26 studies, involving 22,560 subjects. In the direct comparative analysis, AI demonstrated higher ADR (OR: 0.668, 95% CI 0.595–0.749,
p
< 0.001) than single observer. Dual observer demonstrated a higher ADR (OR: 0.771, 95% CI 0.688–0.865,
p
< 0.001) than single operator. In network meta-analysis, results were consistent on the network meta-analysis, maintaining consistency. No statistical difference was noted when comparing AI to second observer. (RR 1.1 (0.9–1.2,
p
= 0.3). Results were consistent when evaluating only RCTs. Net ranking provided higher score to AI followed by second observer followed by single observer.
Conclusion
Artificial Intelligence and second-observer colonoscopy showed superior success in Adenoma Detection Rate when compared to single-observer colonoscopy. Although not statistically significant, net ranking model favors the superiority of AI to the second observer.</description><identifier>ISSN: 0163-2116</identifier><identifier>ISSN: 1573-2568</identifier><identifier>EISSN: 1573-2568</identifier><identifier>DOI: 10.1007/s10620-024-08341-9</identifier><identifier>PMID: 38436866</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adenoma - diagnosis ; Artificial Intelligence ; Biochemistry ; Colonoscopy ; Colonoscopy - methods ; Colorectal Neoplasms - diagnosis ; Gastroenterology ; Hepatology ; Humans ; Medicine ; Medicine & Public Health ; Meta-analysis ; Network Meta-Analysis ; Odds Ratio ; Oncology ; Original Article ; Transplant Surgery ; Tumors</subject><ispartof>Digestive diseases and sciences, 2024-04, Vol.69 (4), p.1380-1388</ispartof><rights>The Author(s) 2024. corrected publication 2024</rights><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. corrected publication 2024. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c370t-8a48fe6bc6e1913d0cf3f8c62e1eee3f6e9623608ba6ea33e6abfff14b79a7713</cites></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/38436866$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gangwani, Manesh Kumar</creatorcontrib><creatorcontrib>Haghbin, Hossein</creatorcontrib><creatorcontrib>Ishtiaq, Rizwan</creatorcontrib><creatorcontrib>Hasan, Fariha</creatorcontrib><creatorcontrib>Dillard, Julia</creatorcontrib><creatorcontrib>Jaber, Fouad</creatorcontrib><creatorcontrib>Dahiya, Dushyant Singh</creatorcontrib><creatorcontrib>Ali, Hassam</creatorcontrib><creatorcontrib>Salim, Shaharyar</creatorcontrib><creatorcontrib>Lee-Smith, Wade</creatorcontrib><creatorcontrib>Sohail, Amir Humza</creatorcontrib><creatorcontrib>Inamdar, Sumant</creatorcontrib><creatorcontrib>Aziz, Muhammad</creatorcontrib><creatorcontrib>Hart, Benjamin</creatorcontrib><title>Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis</title><title>Digestive diseases and sciences</title><addtitle>Dig Dis Sci</addtitle><addtitle>Dig Dis Sci</addtitle><description>Background and Aims
Screening colonoscopy has significantly contributed to the reduction of the incidence of colorectal cancer (CRC) and its associated mortality, with adenoma detection rate (ADR) as the quality marker. To increase the ADR, various solutions have been proposed including the utilization of Artificial Intelligence (AI) and employing second observers during colonoscopies. In the interest of AI improving ADR independently, without a second observer, and the operational similarity between AI and second observer, this network meta-analysis aims at evaluating the effectiveness of AI, second observer, and a single observer in improving ADR.
Methods
We searched the Medline, Embase, Cochrane, Web of Science Core Collection, Korean Citation Index, SciELO, Global Index Medicus, and Cochrane. A direct head-to-head comparator analysis and network meta-analysis were performed using the random-effects model. The odds ratio (OR) was calculated with a 95% confidence interval (CI) and
p
-value < 0.05 was considered statistically significant.
Results
We analyzed 26 studies, involving 22,560 subjects. In the direct comparative analysis, AI demonstrated higher ADR (OR: 0.668, 95% CI 0.595–0.749,
p
< 0.001) than single observer. Dual observer demonstrated a higher ADR (OR: 0.771, 95% CI 0.688–0.865,
p
< 0.001) than single operator. In network meta-analysis, results were consistent on the network meta-analysis, maintaining consistency. No statistical difference was noted when comparing AI to second observer. (RR 1.1 (0.9–1.2,
p
= 0.3). Results were consistent when evaluating only RCTs. Net ranking provided higher score to AI followed by second observer followed by single observer.
Conclusion
Artificial Intelligence and second-observer colonoscopy showed superior success in Adenoma Detection Rate when compared to single-observer colonoscopy. Although not statistically significant, net ranking model favors the superiority of AI to the second observer.</description><subject>Adenoma - diagnosis</subject><subject>Artificial Intelligence</subject><subject>Biochemistry</subject><subject>Colonoscopy</subject><subject>Colonoscopy - methods</subject><subject>Colorectal Neoplasms - diagnosis</subject><subject>Gastroenterology</subject><subject>Hepatology</subject><subject>Humans</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Meta-analysis</subject><subject>Network Meta-Analysis</subject><subject>Odds Ratio</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Transplant Surgery</subject><subject>Tumors</subject><issn>0163-2116</issn><issn>1573-2568</issn><issn>1573-2568</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kcFu1DAQhi0EotvCC3BAlrhwCdhx6tjHaFugUtuVKHC1HO94ScnaW49TtLdKvAJPyJNgum2ROHDyWPPNb48-Ql5w9oYz1r5FzmTNKlY3FVOi4ZV-RGb8sBVVfSjVYzJjXJaac7lH9hEvGWO65fIp2ROqEVJJOSM_LoawGoF-gYQT0gtwMSzpokdI15DoNdIu5cEPbrAjPQkZxnFYQXBAcyx3l8Biqb8C7Y6OzxdnHT2CDC4PMdCPNgONns7jGENEFzfbXzc_O3oO-XtM32gX7LjFAZ-RJ96OCM_vzgPy-d3xp_mH6nTx_mTenVZOtCxXyjbKg-ydBK65WDLnhVdO1sABQHgJWtZCMtVbCVYIkLb33vOmb7VtWy4OyOtd7ibFqwkwm_WArmxkA8QJTa1FK4TiNSvoq3_Qyzil8l80gjVMK103qlD1jnIpIibwZpOGtU1bw5n5o8jsFJmiyNwqMroMvbyLnvo1LB9G7p0UQOwALK2wgvT37f_E_gZFxZ3l</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Gangwani, Manesh Kumar</creator><creator>Haghbin, Hossein</creator><creator>Ishtiaq, Rizwan</creator><creator>Hasan, Fariha</creator><creator>Dillard, Julia</creator><creator>Jaber, Fouad</creator><creator>Dahiya, Dushyant Singh</creator><creator>Ali, Hassam</creator><creator>Salim, Shaharyar</creator><creator>Lee-Smith, Wade</creator><creator>Sohail, Amir Humza</creator><creator>Inamdar, Sumant</creator><creator>Aziz, Muhammad</creator><creator>Hart, Benjamin</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20240401</creationdate><title>Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis</title><author>Gangwani, Manesh Kumar ; Haghbin, Hossein ; Ishtiaq, Rizwan ; Hasan, Fariha ; Dillard, Julia ; Jaber, Fouad ; Dahiya, Dushyant Singh ; Ali, Hassam ; Salim, Shaharyar ; Lee-Smith, Wade ; Sohail, Amir Humza ; Inamdar, Sumant ; Aziz, Muhammad ; Hart, Benjamin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c370t-8a48fe6bc6e1913d0cf3f8c62e1eee3f6e9623608ba6ea33e6abfff14b79a7713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adenoma - diagnosis</topic><topic>Artificial Intelligence</topic><topic>Biochemistry</topic><topic>Colonoscopy</topic><topic>Colonoscopy - methods</topic><topic>Colorectal Neoplasms - diagnosis</topic><topic>Gastroenterology</topic><topic>Hepatology</topic><topic>Humans</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Meta-analysis</topic><topic>Network Meta-Analysis</topic><topic>Odds Ratio</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Transplant Surgery</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gangwani, Manesh Kumar</creatorcontrib><creatorcontrib>Haghbin, Hossein</creatorcontrib><creatorcontrib>Ishtiaq, Rizwan</creatorcontrib><creatorcontrib>Hasan, Fariha</creatorcontrib><creatorcontrib>Dillard, Julia</creatorcontrib><creatorcontrib>Jaber, Fouad</creatorcontrib><creatorcontrib>Dahiya, Dushyant Singh</creatorcontrib><creatorcontrib>Ali, Hassam</creatorcontrib><creatorcontrib>Salim, Shaharyar</creatorcontrib><creatorcontrib>Lee-Smith, Wade</creatorcontrib><creatorcontrib>Sohail, Amir Humza</creatorcontrib><creatorcontrib>Inamdar, Sumant</creatorcontrib><creatorcontrib>Aziz, Muhammad</creatorcontrib><creatorcontrib>Hart, Benjamin</creatorcontrib><collection>SpringerOpen</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Digestive diseases and sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gangwani, Manesh Kumar</au><au>Haghbin, Hossein</au><au>Ishtiaq, Rizwan</au><au>Hasan, Fariha</au><au>Dillard, Julia</au><au>Jaber, Fouad</au><au>Dahiya, Dushyant Singh</au><au>Ali, Hassam</au><au>Salim, Shaharyar</au><au>Lee-Smith, Wade</au><au>Sohail, Amir Humza</au><au>Inamdar, Sumant</au><au>Aziz, Muhammad</au><au>Hart, Benjamin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis</atitle><jtitle>Digestive diseases and sciences</jtitle><stitle>Dig Dis Sci</stitle><addtitle>Dig Dis Sci</addtitle><date>2024-04-01</date><risdate>2024</risdate><volume>69</volume><issue>4</issue><spage>1380</spage><epage>1388</epage><pages>1380-1388</pages><issn>0163-2116</issn><issn>1573-2568</issn><eissn>1573-2568</eissn><abstract>Background and Aims
Screening colonoscopy has significantly contributed to the reduction of the incidence of colorectal cancer (CRC) and its associated mortality, with adenoma detection rate (ADR) as the quality marker. To increase the ADR, various solutions have been proposed including the utilization of Artificial Intelligence (AI) and employing second observers during colonoscopies. In the interest of AI improving ADR independently, without a second observer, and the operational similarity between AI and second observer, this network meta-analysis aims at evaluating the effectiveness of AI, second observer, and a single observer in improving ADR.
Methods
We searched the Medline, Embase, Cochrane, Web of Science Core Collection, Korean Citation Index, SciELO, Global Index Medicus, and Cochrane. A direct head-to-head comparator analysis and network meta-analysis were performed using the random-effects model. The odds ratio (OR) was calculated with a 95% confidence interval (CI) and
p
-value < 0.05 was considered statistically significant.
Results
We analyzed 26 studies, involving 22,560 subjects. In the direct comparative analysis, AI demonstrated higher ADR (OR: 0.668, 95% CI 0.595–0.749,
p
< 0.001) than single observer. Dual observer demonstrated a higher ADR (OR: 0.771, 95% CI 0.688–0.865,
p
< 0.001) than single operator. In network meta-analysis, results were consistent on the network meta-analysis, maintaining consistency. No statistical difference was noted when comparing AI to second observer. (RR 1.1 (0.9–1.2,
p
= 0.3). Results were consistent when evaluating only RCTs. Net ranking provided higher score to AI followed by second observer followed by single observer.
Conclusion
Artificial Intelligence and second-observer colonoscopy showed superior success in Adenoma Detection Rate when compared to single-observer colonoscopy. Although not statistically significant, net ranking model favors the superiority of AI to the second observer.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>38436866</pmid><doi>10.1007/s10620-024-08341-9</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adenoma - diagnosis Artificial Intelligence Biochemistry Colonoscopy Colonoscopy - methods Colorectal Neoplasms - diagnosis Gastroenterology Hepatology Humans Medicine Medicine & Public Health Meta-analysis Network Meta-Analysis Odds Ratio Oncology Original Article Transplant Surgery Tumors |
| title | Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy—A Network Analysis |
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