Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial)
Artificial intelligence-based computer-aided polyp detection (CADe) systems are intended to address the issue of missed polyps during colonoscopy. The effect of CADe during screening and surveillance colonoscopy has not previously been studied in a United States (U.S.) population. We conducted a pro...
Gespeichert in:
| Veröffentlicht in: | Clinical gastroenterology and hepatology Jg. 20; H. 7; S. 1499 |
|---|---|
| Hauptverfasser: | , , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
United States
01.07.2022
|
| Schlagworte: | |
| ISSN: | 1542-7714, 1542-7714 |
| Online-Zugang: | Weitere Angaben |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Artificial intelligence-based computer-aided polyp detection (CADe) systems are intended to address the issue of missed polyps during colonoscopy. The effect of CADe during screening and surveillance colonoscopy has not previously been studied in a United States (U.S.) population.
We conducted a prospective, multi-center, single-blind randomized tandem colonoscopy study to evaluate a deep-learning based CADe system (EndoScreener, Shanghai Wision AI, China). Patients were enrolled across 4 U.S. academic medical centers from 2019 through 2020. Patients presenting for colorectal cancer screening or surveillance were randomized to CADe colonoscopy first or high-definition white light (HDWL) colonoscopy first, followed immediately by the other procedure in tandem fashion by the same endoscopist. The primary outcome was adenoma miss rate (AMR), and secondary outcomes included sessile serrated lesion (SSL) miss rate and adenomas per colonoscopy (APC).
A total of 232 patients entered the study, with 116 patients randomized to undergo CADe colonoscopy first and 116 patients randomized to undergo HDWL colonoscopy first. After the exclusion of 9 patients, the study cohort included 223 patients. AMR was lower in the CADe-first group compared with the HDWL-first group (20.12% [34/169] vs 31.25% [45/144]; odds ratio [OR], 1.8048; 95% confidence interval [CI], 1.0780-3.0217; P = .0247). SSL miss rate was lower in the CADe-first group (7.14% [1/14]) vs the HDWL-first group (42.11% [8/19]; P = .0482). First-pass APC was higher in the CADe-first group (1.19 [standard deviation (SD), 2.03] vs 0.90 [SD, 1.55]; P = .0323). First-pass ADR was 50.44% in the CADe-first group and 43.64 % in the HDWL-first group (P = .3091).
In this U.S. multicenter tandem colonoscopy randomized controlled trial, we demonstrate a decrease in AMR and SSL miss rate and an increase in first-pass APC with the use of a CADe-system when compared with HDWL colonoscopy alone. |
|---|---|
| AbstractList | Artificial intelligence-based computer-aided polyp detection (CADe) systems are intended to address the issue of missed polyps during colonoscopy. The effect of CADe during screening and surveillance colonoscopy has not previously been studied in a United States (U.S.) population.
We conducted a prospective, multi-center, single-blind randomized tandem colonoscopy study to evaluate a deep-learning based CADe system (EndoScreener, Shanghai Wision AI, China). Patients were enrolled across 4 U.S. academic medical centers from 2019 through 2020. Patients presenting for colorectal cancer screening or surveillance were randomized to CADe colonoscopy first or high-definition white light (HDWL) colonoscopy first, followed immediately by the other procedure in tandem fashion by the same endoscopist. The primary outcome was adenoma miss rate (AMR), and secondary outcomes included sessile serrated lesion (SSL) miss rate and adenomas per colonoscopy (APC).
A total of 232 patients entered the study, with 116 patients randomized to undergo CADe colonoscopy first and 116 patients randomized to undergo HDWL colonoscopy first. After the exclusion of 9 patients, the study cohort included 223 patients. AMR was lower in the CADe-first group compared with the HDWL-first group (20.12% [34/169] vs 31.25% [45/144]; odds ratio [OR], 1.8048; 95% confidence interval [CI], 1.0780-3.0217; P = .0247). SSL miss rate was lower in the CADe-first group (7.14% [1/14]) vs the HDWL-first group (42.11% [8/19]; P = .0482). First-pass APC was higher in the CADe-first group (1.19 [standard deviation (SD), 2.03] vs 0.90 [SD, 1.55]; P = .0323). First-pass ADR was 50.44% in the CADe-first group and 43.64 % in the HDWL-first group (P = .3091).
In this U.S. multicenter tandem colonoscopy randomized controlled trial, we demonstrate a decrease in AMR and SSL miss rate and an increase in first-pass APC with the use of a CADe-system when compared with HDWL colonoscopy alone. Artificial intelligence-based computer-aided polyp detection (CADe) systems are intended to address the issue of missed polyps during colonoscopy. The effect of CADe during screening and surveillance colonoscopy has not previously been studied in a United States (U.S.) population.BACKGROUND & AIMSArtificial intelligence-based computer-aided polyp detection (CADe) systems are intended to address the issue of missed polyps during colonoscopy. The effect of CADe during screening and surveillance colonoscopy has not previously been studied in a United States (U.S.) population.We conducted a prospective, multi-center, single-blind randomized tandem colonoscopy study to evaluate a deep-learning based CADe system (EndoScreener, Shanghai Wision AI, China). Patients were enrolled across 4 U.S. academic medical centers from 2019 through 2020. Patients presenting for colorectal cancer screening or surveillance were randomized to CADe colonoscopy first or high-definition white light (HDWL) colonoscopy first, followed immediately by the other procedure in tandem fashion by the same endoscopist. The primary outcome was adenoma miss rate (AMR), and secondary outcomes included sessile serrated lesion (SSL) miss rate and adenomas per colonoscopy (APC).METHODSWe conducted a prospective, multi-center, single-blind randomized tandem colonoscopy study to evaluate a deep-learning based CADe system (EndoScreener, Shanghai Wision AI, China). Patients were enrolled across 4 U.S. academic medical centers from 2019 through 2020. Patients presenting for colorectal cancer screening or surveillance were randomized to CADe colonoscopy first or high-definition white light (HDWL) colonoscopy first, followed immediately by the other procedure in tandem fashion by the same endoscopist. The primary outcome was adenoma miss rate (AMR), and secondary outcomes included sessile serrated lesion (SSL) miss rate and adenomas per colonoscopy (APC).A total of 232 patients entered the study, with 116 patients randomized to undergo CADe colonoscopy first and 116 patients randomized to undergo HDWL colonoscopy first. After the exclusion of 9 patients, the study cohort included 223 patients. AMR was lower in the CADe-first group compared with the HDWL-first group (20.12% [34/169] vs 31.25% [45/144]; odds ratio [OR], 1.8048; 95% confidence interval [CI], 1.0780-3.0217; P = .0247). SSL miss rate was lower in the CADe-first group (7.14% [1/14]) vs the HDWL-first group (42.11% [8/19]; P = .0482). First-pass APC was higher in the CADe-first group (1.19 [standard deviation (SD), 2.03] vs 0.90 [SD, 1.55]; P = .0323). First-pass ADR was 50.44% in the CADe-first group and 43.64 % in the HDWL-first group (P = .3091).RESULTSA total of 232 patients entered the study, with 116 patients randomized to undergo CADe colonoscopy first and 116 patients randomized to undergo HDWL colonoscopy first. After the exclusion of 9 patients, the study cohort included 223 patients. AMR was lower in the CADe-first group compared with the HDWL-first group (20.12% [34/169] vs 31.25% [45/144]; odds ratio [OR], 1.8048; 95% confidence interval [CI], 1.0780-3.0217; P = .0247). SSL miss rate was lower in the CADe-first group (7.14% [1/14]) vs the HDWL-first group (42.11% [8/19]; P = .0482). First-pass APC was higher in the CADe-first group (1.19 [standard deviation (SD), 2.03] vs 0.90 [SD, 1.55]; P = .0323). First-pass ADR was 50.44% in the CADe-first group and 43.64 % in the HDWL-first group (P = .3091).In this U.S. multicenter tandem colonoscopy randomized controlled trial, we demonstrate a decrease in AMR and SSL miss rate and an increase in first-pass APC with the use of a CADe-system when compared with HDWL colonoscopy alone.CONCLUSIONIn this U.S. multicenter tandem colonoscopy randomized controlled trial, we demonstrate a decrease in AMR and SSL miss rate and an increase in first-pass APC with the use of a CADe-system when compared with HDWL colonoscopy alone. |
| Author | Chandnani, Madhuri Berzin, Tyler M Chuchuca, Maria Aguilera Gross, Seth A Minchenberg, Scott B Sengupta, Neil Wang, Pu Glissen Brown, Jeremy R Mansour, Nabil M Liu, Lin |
| Author_xml | – sequence: 1 givenname: Jeremy R surname: Glissen Brown fullname: Glissen Brown, Jeremy R email: jglissen@bidmc.harvard.edu organization: Center for Advanced Endoscopy, Division of Gastroenterology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts. Electronic address: jglissen@bidmc.harvard.edu – sequence: 2 givenname: Nabil M surname: Mansour fullname: Mansour, Nabil M organization: Section of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas – sequence: 3 givenname: Pu surname: Wang fullname: Wang, Pu organization: Department of Gastroenterology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China – sequence: 4 givenname: Maria Aguilera surname: Chuchuca fullname: Chuchuca, Maria Aguilera organization: Center for Advanced Endoscopy, Division of Gastroenterology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts – sequence: 5 givenname: Scott B surname: Minchenberg fullname: Minchenberg, Scott B organization: Department of Internal Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts – sequence: 6 givenname: Madhuri surname: Chandnani fullname: Chandnani, Madhuri organization: Center for Advanced Endoscopy, Division of Gastroenterology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts – sequence: 7 givenname: Lin surname: Liu fullname: Liu, Lin organization: Institute of Natural Sciences, MOE-LSC, School of Mathematical Sciences and SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China – sequence: 8 givenname: Seth A surname: Gross fullname: Gross, Seth A organization: Division of Gastroenterology and Hepatology, New York University Langone Health System, New York, New York – sequence: 9 givenname: Neil surname: Sengupta fullname: Sengupta, Neil organization: Section of Gastroenterology, University of Chicago Medicine, Chicago, Illinois – sequence: 10 givenname: Tyler M surname: Berzin fullname: Berzin, Tyler M organization: Center for Advanced Endoscopy, Division of Gastroenterology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34530161$$D View this record in MEDLINE/PubMed |
| BookMark | eNpNkM1O4zAUhS3ECCjwAGyQl7BIxnb807CrUgZGKpoRDevKcW6LUWKH2Fl03oS3HSNAYnXP1fnOudKdoUPnHSB0QUlOCZU_X3Kze84ZYTQnZU5IeYBOqOAsU4ryw2_6GM1CeCGElbxUR-i44KJIBfQEvS0BBrwCPTrrdrjy_TBFGDNtW2jxX9_tB7yECCZa7_AjtJOBgBctON9r_GBDwI86wg1e4CdnY8qsY9oDfpi6aDMDLrUlxLW-t_-SXScJfTrUeeeD8cM-JaZ2j6-qxRLqrFrjerS6uz5DP7a6C3D-OU9R_eu2ru6z1Z-739VilRkhVczEXJliy7ica9kyJeZSCkmaslFEl4LO5bupZCOVklRzQgoNumhU0xjB1JadoquP2mH0rxOEuOltMNB12oGfwoYJxTkpOSsTevmJTk0P7WYYba_H_ebrm-w_VHZ4qg |
| CitedBy_id | crossref_primary_10_1136_gutjnl_2024_331943 crossref_primary_10_1016_j_prp_2025_156206 crossref_primary_10_1007_s00464_022_09420_6 crossref_primary_10_1016_j_igie_2023_03_004 crossref_primary_10_1055_a_2296_5696 crossref_primary_10_3390_diagnostics14232762 crossref_primary_10_1097_MCG_0000000000002115 crossref_primary_10_31435_ijitss_3_47__2025_3779 crossref_primary_10_1002_poh2_70016 crossref_primary_10_1089_aipo_2024_0019 crossref_primary_10_3389_fonc_2023_1065402 crossref_primary_10_1001_jamanetworkopen_2024_57241 crossref_primary_10_1016_j_cgh_2022_08_022 crossref_primary_10_3390_jcm12216721 crossref_primary_10_3748_wjg_v31_i24_108021 crossref_primary_10_1111_jgh_16470 crossref_primary_10_1016_j_gie_2022_10_009 crossref_primary_10_1016_j_cgh_2023_10_019 crossref_primary_10_2196_37188 crossref_primary_10_1053_j_gastro_2025_01_254 crossref_primary_10_1093_jcag_gwad014 crossref_primary_10_1016_j_cgh_2024_02_021 crossref_primary_10_1016_j_ejrad_2023_111084 crossref_primary_10_1001_jamanetworkopen_2022_33946 crossref_primary_10_3393_ac_2024_00122_0017 crossref_primary_10_1053_j_gastro_2023_01_027 crossref_primary_10_1097_MD_0000000000031945 crossref_primary_10_1007_s10620_025_09352_w crossref_primary_10_1055_a_1950_5694 crossref_primary_10_1186_s12876_025_04129_x crossref_primary_10_14309_ajg_0000000000002286 crossref_primary_10_1016_j_gie_2024_01_004 crossref_primary_10_1016_j_gie_2024_08_033 crossref_primary_10_1016_j_dld_2023_10_018 crossref_primary_10_14309_ctg_0000000000000904 crossref_primary_10_1111_den_14573 crossref_primary_10_1053_j_gastro_2022_03_007 crossref_primary_10_1016_j_rgmx_2024_11_008 crossref_primary_10_1109_TIM_2023_3293880 crossref_primary_10_14309_ajg_0000000000002664 crossref_primary_10_1016_j_tige_2023_03_002 crossref_primary_10_1016_j_gie_2024_01_021 crossref_primary_10_1016_j_gie_2025_05_021 crossref_primary_10_3389_fmed_2022_1018937 crossref_primary_10_7759_cureus_45278 crossref_primary_10_1007_s00464_022_09470_w crossref_primary_10_1007_s11938_023_00426_0 crossref_primary_10_3390_pr11041035 crossref_primary_10_1002_deo2_109 crossref_primary_10_1016_j_gie_2023_12_003 crossref_primary_10_1159_000540251 crossref_primary_10_1186_s12876_025_03679_4 crossref_primary_10_3390_diagnostics13061102 crossref_primary_10_1177_17562848251314829 crossref_primary_10_7759_cureus_79570 crossref_primary_10_3389_fonc_2024_1365364 crossref_primary_10_1016_j_gie_2022_09_029 crossref_primary_10_1136_bmjonc_2025_000733 crossref_primary_10_1016_j_bspc_2023_104593 crossref_primary_10_1111_den_14727 crossref_primary_10_1016_j_dld_2025_01_192 crossref_primary_10_1016_j_gie_2022_09_023 crossref_primary_10_3390_jcm13195842 crossref_primary_10_1016_j_gie_2022_09_020 crossref_primary_10_3748_wjg_v31_i21_105753 crossref_primary_10_1053_j_gastro_2022_03_055 crossref_primary_10_1002_mog2_91 crossref_primary_10_1007_s00464_025_11890_3 crossref_primary_10_1016_j_igie_2025_04_001 crossref_primary_10_1007_s11894_023_00872_x crossref_primary_10_3748_wjg_v28_i24_2778 crossref_primary_10_1080_17434440_2024_2342508 crossref_primary_10_1371_journal_pone_0325987 crossref_primary_10_1016_j_jrras_2025_101358 crossref_primary_10_1016_j_rgmxen_2025_09_002 crossref_primary_10_1016_j_giec_2022_12_001 crossref_primary_10_1038_s41746_022_00678_7 crossref_primary_10_3390_diagnostics14050528 crossref_primary_10_1186_s12876_024_03181_3 crossref_primary_10_3390_cancers15082193 crossref_primary_10_1002_cncr_70043 crossref_primary_10_3389_fonc_2025_1420517 crossref_primary_10_3748_wjg_v28_i47_6632 crossref_primary_10_1055_a_2210_7999 crossref_primary_10_1097_CM9_0000000000003490 crossref_primary_10_3390_cancers15215126 crossref_primary_10_7759_cureus_79199 crossref_primary_10_7326_M22_3678 crossref_primary_10_1016_S2468_1253_23_00104_8 crossref_primary_10_2196_52073 crossref_primary_10_1053_j_gastro_2023_03_237 crossref_primary_10_1080_17474124_2024_2328229 crossref_primary_10_1177_26317745241306562 crossref_primary_10_1038_s41467_024_45355_3 crossref_primary_10_1080_14737140_2023_2215436 crossref_primary_10_1186_s13045_023_01514_5 crossref_primary_10_1097_MD_0000000000038938 crossref_primary_10_1016_j_dld_2025_04_029 crossref_primary_10_7326_ANNALS_24_00981 crossref_primary_10_1016_j_scrs_2024_101007 crossref_primary_10_1055_a_2038_7078 crossref_primary_10_2196_42665 crossref_primary_10_7326_M22_2619 crossref_primary_10_1186_s12876_022_02427_2 crossref_primary_10_1111_jgh_16784 crossref_primary_10_1016_j_bspc_2025_108202 crossref_primary_10_1111_den_14531 crossref_primary_10_14309_ctg_0000000000000831 crossref_primary_10_14309_ajg_0000000000002623 crossref_primary_10_1111_den_14538 crossref_primary_10_1177_17562848231218570 crossref_primary_10_1080_17434440_2023_2280773 crossref_primary_10_1097_JS9_0000000000000285 crossref_primary_10_1016_j_dld_2024_09_003 crossref_primary_10_1007_s10620_025_09205_6 crossref_primary_10_1055_a_1849_6878 crossref_primary_10_1007_s00508_025_02561_3 crossref_primary_10_14309_ajg_0000000000003168 crossref_primary_10_1016_j_dld_2024_01_203 crossref_primary_10_1097_MOG_0000000000000957 |
| ContentType | Journal Article |
| Copyright | Copyright © 2021 AGA Institute. Published by Elsevier Inc. All rights reserved. Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved. |
| Copyright_xml | – notice: Copyright © 2021 AGA Institute. Published by Elsevier Inc. All rights reserved. – notice: Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved. |
| DBID | NPM 7X8 |
| DOI | 10.1016/j.cgh.2021.09.009 |
| DatabaseName | PubMed MEDLINE - Academic |
| DatabaseTitle | PubMed MEDLINE - Academic |
| DatabaseTitleList | PubMed MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | no_fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1542-7714 |
| ExternalDocumentID | 34530161 |
| Genre | Journal Article |
| GroupedDBID | --- --K .1- .FO 0R~ 1B1 1P~ 29B 4.4 457 5GY AAEDT AAEDW AALRI AAXUO ABJNI ABLJU ABMAC ACGFS ADBBV AENEX AEVXI AFCTW AFRHN AFTJW AITUG AJUYK AKRWK ALMA_UNASSIGNED_HOLDINGS AMRAJ BELOY C45 C5W CS3 DU5 EBS F5P FDB FRP IHE KOM M41 MO0 N9A NPM O9- OBH OC. ON0 OVD P2P ROL RPZ SEL SES TEORI UV1 XH2 Z5R 7X8 AAFWJ APXCP EFJIC EFKBS |
| ID | FETCH-LOGICAL-c567t-587c3f2468a6d275866560b9b70a951863f2476b67761a4003aea3b7bbc527f2 |
| IEDL.DBID | 7X8 |
| ISICitedReferencesCount | 132 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000862693200022&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1542-7714 |
| IngestDate | Sun Sep 28 02:21:12 EDT 2025 Thu Jan 02 22:57:38 EST 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 7 |
| Keywords | Adenoma Detection Rate Computer-aided Detection Randomized Tandem Colonoscopy Study Adenoma Miss Rate Deep Learning |
| Language | English |
| License | Copyright © 2021 AGA Institute. Published by Elsevier Inc. All rights reserved. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c567t-587c3f2468a6d275866560b9b70a951863f2476b67761a4003aea3b7bbc527f2 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 |
| OpenAccessLink | https://www.clinicalkey.com/#!/content/1-s2.0-S1542356521009733 |
| PMID | 34530161 |
| PQID | 2574409429 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_2574409429 pubmed_primary_34530161 |
| PublicationCentury | 2000 |
| PublicationDate | 2022-07-01 |
| PublicationDateYYYYMMDD | 2022-07-01 |
| PublicationDate_xml | – month: 07 year: 2022 text: 2022-07-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States |
| PublicationTitle | Clinical gastroenterology and hepatology |
| PublicationTitleAlternate | Clin Gastroenterol Hepatol |
| PublicationYear | 2022 |
| SSID | ssj0029497 |
| Score | 2.6696568 |
| Snippet | Artificial intelligence-based computer-aided polyp detection (CADe) systems are intended to address the issue of missed polyps during colonoscopy. The effect... |
| SourceID | proquest pubmed |
| SourceType | Aggregation Database Index Database |
| StartPage | 1499 |
| Title | Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial) |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/34530161 https://www.proquest.com/docview/2574409429 |
| Volume | 20 |
| WOSCitedRecordID | wos000862693200022&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1NbxMxELWAIsSlLd-lLRokDnCwyK69treXKmqpOJAoKiuUW2R77apSsxuaUCn9J_xbZrybcquQuOzF-yV7PH6eN37D2Adc0gchlJ4rkwlORsGNk5oXJrpYZtbIpFPw45sej810Wk76gNuyT6vc-MTkqOvWU4z8M75F0l4kL48XPzlVjSJ2tS-h8ZBtCYQyZNV6esci5KXsiqsUklBkJjesZsrv8hfEReRZkjkd3IMw00pztvO__7jLtnuMCcPOKJ6xB6F5zp6Mehb9Bft9GsICemXVC9gUduCkFlnDpL1aL-A0rFKSVgPnJO4aljBED9XOLYxwqOAcIeoRDKGDrNBBVkineTnle4ZrvKWp2_nlLTZXFKme44eu2qalczBroPzFNXxEQwgVP_kOFU2ETy9ZdfalOvnK-xIN3BdKr3BItRcxl8pYVee491Ak5uNKpwcWsZtR1KiVU1qrzKK_EDZY4bRzvsh1zF-xR03bhDcMlHBFVK6ORNwWMTPGeemjssoLVdt6j73f9PkMZwDRGrYJ7a_l7G-v77HX3cDNFp1Ux0zIQhCoffsPT--zpzmdbUi5uAdsK-L8D4fssb9ZXS6v3yXTwut4MvoD9b7X0A |
| linkProvider | ProQuest |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Deep+Learning+Computer-aided+Polyp+Detection+Reduces+Adenoma+Miss+Rate%3A+A+United+States+Multi-center+Randomized+Tandem+Colonoscopy+Study+%28CADeT-CS+Trial%29&rft.jtitle=Clinical+gastroenterology+and+hepatology&rft.au=Glissen+Brown%2C+Jeremy+R&rft.au=Mansour%2C+Nabil+M&rft.au=Wang%2C+Pu&rft.au=Chuchuca%2C+Maria+Aguilera&rft.date=2022-07-01&rft.eissn=1542-7714&rft_id=info:doi/10.1016%2Fj.cgh.2021.09.009&rft_id=info%3Apmid%2F34530161&rft_id=info%3Apmid%2F34530161&rft.externalDocID=34530161 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1542-7714&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1542-7714&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1542-7714&client=summon |