Effectiveness of a novel artificial intelligence-assisted colonoscopy system for adenoma detection: a prospective, propensity score-matched, non-randomized controlled study in Korea
Background/Aims The real-world effectiveness of computer-aided detection (CADe) systems during colonoscopies remains uncertain. We assessed the effectiveness of the novel CADe system, ENdoscopy as AI-powered Device (ENAD), in enhancing the adenoma detection rate (ADR) and other quality indicators in...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Gastrointestinal Endoscopy
2025-01-01
|
| Series: | Clinical Endoscopy |
| Subjects: | |
| Online Access: | http://www.e-ce.org/upload/pdf/ce-2024-168.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832545187433283584 |
|---|---|
| author | Jung-Bin Park Jung Ho Bae |
| author_facet | Jung-Bin Park Jung Ho Bae |
| author_sort | Jung-Bin Park |
| collection | DOAJ |
| description | Background/Aims The real-world effectiveness of computer-aided detection (CADe) systems during colonoscopies remains uncertain. We assessed the effectiveness of the novel CADe system, ENdoscopy as AI-powered Device (ENAD), in enhancing the adenoma detection rate (ADR) and other quality indicators in real-world clinical practice. Methods We enrolled patients who underwent elective colonoscopies between May 2022 and October 2022 at a tertiary healthcare center. Standard colonoscopy (SC) was compared to ENAD-assisted colonoscopy. Eight experienced endoscopists performed the procedures in randomly assigned CADe- and non-CADe-assisted rooms. The primary outcome was a comparison of ADR between the ENAD and SC groups. Results A total of 1,758 sex- and age-matched patients were included and evenly distributed into two groups. The ENAD group had a significantly higher ADR (45.1% vs. 38.8%, p=0.010), higher sessile serrated lesion detection rate (SSLDR) (5.7% vs. 2.5%, p=0.001), higher mean number of adenomas per colonoscopy (APC) (0.78±1.17 vs. 0.61±0.99; incidence risk ratio, 1.27; 95% confidence interval, 1.13–1.42), and longer withdrawal time (9.0±3.4 vs. 8.3±3.1, p<0.001) than the SC group. However, the mean withdrawal times were not significantly different between the two groups in cases where no polyps were detected (6.9±1.7 vs. 6.7±1.7, p=0.058). Conclusions ENAD-assisted colonoscopy significantly improved the ADR, APC, and SSLDR in real-world clinical practice, particularly for smaller and nonpolypoid adenomas. |
| format | Article |
| id | doaj-art-a9500184465646c1b87fd2427795815f |
| institution | Kabale University |
| issn | 2234-2400 2234-2443 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Korean Society of Gastrointestinal Endoscopy |
| record_format | Article |
| series | Clinical Endoscopy |
| spelling | doaj-art-a9500184465646c1b87fd2427795815f2025-02-03T08:08:03ZengKorean Society of Gastrointestinal EndoscopyClinical Endoscopy2234-24002234-24432025-01-0158111212010.5946/ce.2024.1687931Effectiveness of a novel artificial intelligence-assisted colonoscopy system for adenoma detection: a prospective, propensity score-matched, non-randomized controlled study in KoreaJung-Bin Park0Jung Ho Bae1 Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea Department of Internal Medicine and Healthcare Research Institute, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, KoreaBackground/Aims The real-world effectiveness of computer-aided detection (CADe) systems during colonoscopies remains uncertain. We assessed the effectiveness of the novel CADe system, ENdoscopy as AI-powered Device (ENAD), in enhancing the adenoma detection rate (ADR) and other quality indicators in real-world clinical practice. Methods We enrolled patients who underwent elective colonoscopies between May 2022 and October 2022 at a tertiary healthcare center. Standard colonoscopy (SC) was compared to ENAD-assisted colonoscopy. Eight experienced endoscopists performed the procedures in randomly assigned CADe- and non-CADe-assisted rooms. The primary outcome was a comparison of ADR between the ENAD and SC groups. Results A total of 1,758 sex- and age-matched patients were included and evenly distributed into two groups. The ENAD group had a significantly higher ADR (45.1% vs. 38.8%, p=0.010), higher sessile serrated lesion detection rate (SSLDR) (5.7% vs. 2.5%, p=0.001), higher mean number of adenomas per colonoscopy (APC) (0.78±1.17 vs. 0.61±0.99; incidence risk ratio, 1.27; 95% confidence interval, 1.13–1.42), and longer withdrawal time (9.0±3.4 vs. 8.3±3.1, p<0.001) than the SC group. However, the mean withdrawal times were not significantly different between the two groups in cases where no polyps were detected (6.9±1.7 vs. 6.7±1.7, p=0.058). Conclusions ENAD-assisted colonoscopy significantly improved the ADR, APC, and SSLDR in real-world clinical practice, particularly for smaller and nonpolypoid adenomas.http://www.e-ce.org/upload/pdf/ce-2024-168.pdfadenomaartificial intelligencecolonoscopypolyps |
| spellingShingle | Jung-Bin Park Jung Ho Bae Effectiveness of a novel artificial intelligence-assisted colonoscopy system for adenoma detection: a prospective, propensity score-matched, non-randomized controlled study in Korea Clinical Endoscopy adenoma artificial intelligence colonoscopy polyps |
| title | Effectiveness of a novel artificial intelligence-assisted colonoscopy system for adenoma detection: a prospective, propensity score-matched, non-randomized controlled study in Korea |
| title_full | Effectiveness of a novel artificial intelligence-assisted colonoscopy system for adenoma detection: a prospective, propensity score-matched, non-randomized controlled study in Korea |
| title_fullStr | Effectiveness of a novel artificial intelligence-assisted colonoscopy system for adenoma detection: a prospective, propensity score-matched, non-randomized controlled study in Korea |
| title_full_unstemmed | Effectiveness of a novel artificial intelligence-assisted colonoscopy system for adenoma detection: a prospective, propensity score-matched, non-randomized controlled study in Korea |
| title_short | Effectiveness of a novel artificial intelligence-assisted colonoscopy system for adenoma detection: a prospective, propensity score-matched, non-randomized controlled study in Korea |
| title_sort | effectiveness of a novel artificial intelligence assisted colonoscopy system for adenoma detection a prospective propensity score matched non randomized controlled study in korea |
| topic | adenoma artificial intelligence colonoscopy polyps |
| url | http://www.e-ce.org/upload/pdf/ce-2024-168.pdf |
| work_keys_str_mv | AT jungbinpark effectivenessofanovelartificialintelligenceassistedcolonoscopysystemforadenomadetectionaprospectivepropensityscorematchednonrandomizedcontrolledstudyinkorea AT junghobae effectivenessofanovelartificialintelligenceassistedcolonoscopysystemforadenomadetectionaprospectivepropensityscorematchednonrandomizedcontrolledstudyinkorea |