The study on artificial intelligence (AI) colonoscopy in affecting the rate of polyp detection in colonoscopy: A single centre retrospective study

Wong, Yiu-Chung; Tai, T. F.; Wong, Kwok-Wai; Leung, Siu‐Kee; Lam, S. M.; Wong, S. Y.; Lo, Y. Y.; Yan, Ke-Qiong; Tam, S. K.; Wong, Marilyn; Chan, H. L.

doi:10.1111/1744-1633.12559

Cited by 3 publications

(6 citation statements)

References 9 publications

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“…Among 6 prospective studies ( 6 , 11 – 13 , 16 , 18 ) (5 fully published, 1 abstract), ADR was statistically significantly higher with CADe than without CADe (37.3% vs 35.2%; RR 1.15, 95% CI 1.01–1.32, P = 0.04) (Figure 2 ). By contrast, among 6 retrospective studies ( 7 , 8 , 14 , 15 , 17 – 19 ) (5 fully published, 1 abstract), ADR did not differ with CADe vs without CADe (35.7% vs 36.2%; RR 1.12, 95% CI 0.92–1.36, P = 0.27) (Figure 2 ). Among the 5 fully published retrospective studies ( 7 , 8 , 14 , 15 , 17 ), there was also no difference between with CADe and without CADe (RR 1.04 [95% CI 0.88–1.23], P = 0.65) (see Supplementary Figure 1, http://links.lww.com/CTG/B55 ).…”

Section: Resultsmentioning

confidence: 91%

“…By contrast, among 6 retrospective studies ( 7 , 8 , 14 , 15 , 17 – 19 ) (5 fully published, 1 abstract), ADR did not differ with CADe vs without CADe (35.7% vs 36.2%; RR 1.12, 95% CI 0.92–1.36, P = 0.27) (Figure 2 ). Among the 5 fully published retrospective studies ( 7 , 8 , 14 , 15 , 17 ), there was also no difference between with CADe and without CADe (RR 1.04 [95% CI 0.88–1.23], P = 0.65) (see Supplementary Figure 1, http://links.lww.com/CTG/B55 ).…”

Section: Resultsmentioning

confidence: 91%

“…Among 10 fully published studies ( 6 – 8 , 11 – 17 ) and 2 abstracts ( 18 , 19 ), ADR was statistically significantly higher with CADe (36.3%) than without CADe (35.8%), with a RR of 1.13 (95% CI 1.01–1.28), P = 0.04 (Figure 2 ). When only fully published studies were included, the pooled RR was no longer statistically significant (1.11, 95% CI 0.98–1.24, P = 0.10) (see Supplementary Figure 1, http://links.lww.com/CTG/B55 ).…”

Section: Resultsmentioning

confidence: 99%

“…Studies originated from the United States, Europe, Asia, the Middle East, and New Zealand. Of these studies, 10 were fully published ( 6 – 8 , 11 – 17 ) and 2 ( 18 , 19 ) were abstracts. Of these, 6 (5 fully published, 1 abstract) were prospective ( 6 , 11 – 13 , 16 , 18 ) in design and 6 (5 fully published, 1 abstract) were retrospective ( 7 , 8 , 14 , 15 , 17 – 19 ).…”

Section: Resultsmentioning

confidence: 99%

“…Of these studies, 10 were fully published ( 6 – 8 , 11 – 17 ) and 2 ( 18 , 19 ) were abstracts. Of these, 6 (5 fully published, 1 abstract) were prospective ( 6 , 11 – 13 , 16 , 18 ) in design and 6 (5 fully published, 1 abstract) were retrospective ( 7 , 8 , 14 , 15 , 17 – 19 ). Five studies ( 7 , 8 , 12 , 13 , 18 ) used the GI Genius (Medtronic) system (N = 6,892).…”

Section: Resultsmentioning

confidence: 99%

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Artificial Intelligence–Assisted Colonoscopy in Real-World Clinical Practice: A Systematic Review and Meta-Analysis

Wei,

Fay,

Yung

et al. 2023

Clin Transl Gastroenterol

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Background: Artificial intelligence (AI) could minimize the operator-dependent variation in colonoscopy quality. Computer-aided detection (CADe) has improved adenoma detection rate (ADR) and adenomas per colonoscopy (APC) in randomized controlled trials (RCTs). There is a need to assess the impact of CADe in real-world settings. Methods: We searched MEDLINE, EMBASE, and Web of Science for non-randomized, real-world studies of CADe in colonoscopy. Random-effects meta-analyses were performed to examine the effect of CADe on ADR and APC. The study is registered under PROSPERO (CRD42023424037). There was no funding for this study. Results: Twelve of 1,314 studies met inclusion criteria. Overall, ADR was statistically significantly higher with vs. without CADe (36.3% vs. 35.8%, risk ratio [RR] 1.13, 95% CI 1.01-1.28). This difference remained significant in subgroup analyses evaluating 6 prospective (37.3% vs 35.2%, RR 1.15, 95% CI 1.01-1.32) but not 6 retrospective (35.7% vs 36.2%, RR 1.12, 95% CI 0.92-1.36) studies. Among 6 studies with APC data, APC rate ratio with vs. without CADe was 1.12 (95% CI 0.95-1.33). In 4 studies with GI Genius (Medtronic), there was no difference in ADR with vs. without CADe (RR 0.96, 95% CI 0.85-1.07). Conclusions: ADR, but not APC, was slightly higher with vs. without CADe among all available real-world studies. This difference was attributed to the results of prospective but not retrospective studies. The discrepancies between these findings vs. those of RCTs call for future research on the true impact of current AI technology on colonoscopy quality, and the subtleties of human-AI interactions.

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Section: Resultsmentioning

confidence: 91%

Section: Resultsmentioning

confidence: 91%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Artificial Intelligence–Assisted Colonoscopy in Real-World Clinical Practice: A Systematic Review and Meta-Analysis

Wei,

Fay,

Yung

et al. 2023

Clin Transl Gastroenterol

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Computer copilots for endoscopic diagnosis

Diao

Kvedar

2022

npj Digit. Med.

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Image enhanced colonoscopy: updates and prospects—a review

Shahsavari¹,

Waqar²,

Chandrasekar³

2023

Transl Gastroenterol Hepatol

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Colonoscopy has been proven to be a successful approach in both identifying and preventing colorectal cancer. The incorporation of advanced imaging technologies, such as image-enhanced endoscopy (IEE), plays a vital role in real-time diagnosis. The advancements in endoscopic imaging technology have been continuous, from replacing fiber optics with charge-coupled devices to the introduction of chromoendoscopy in the 1970s. Recent technological advancements include “push-button” technologies like autofluorescence imaging (AFI), narrowed-spectrum endoscopy, and confocal laser endomicroscopy (CLE). Dye-based chromoendoscopy (DCE) is falling out of favor due to the longer time required for application and removal of the dye and the difficulty of identifying lesions in certain situations. Narrow band imaging (NBI) is a technology that filters the light used for illumination leading to improved contrast and better visibility of structures on the mucosal surface and has shown a consistently higher adenoma detection rate (ADR) compared to white light endoscopy. CLE has high sensitivity and specificity for polyp detection and characterization, and several classifications have been developed for accurate identification of normal, regenerative, and dysplastic epithelium. Other IEE technologies, such as blue laser imaging (BLI), linked-color imaging (LCI), i-SCAN, and AFI, have also shown promise in improving ADR and characterizing polyps. New technologies, such as Optivista, red dichromatic imaging (RDI), texture and color enhancement imaging (TXI), and computer-aided detection (CAD) using artificial intelligence (AI), are being developed to improve polyp detection and pathology prediction prior to widespread use in clinical practice.

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The study on artificial intelligence (AI) colonoscopy in affecting the rate of polyp detection in colonoscopy: A single centre retrospective study

Cited by 3 publications

References 9 publications

Artificial Intelligence–Assisted Colonoscopy in Real-World Clinical Practice: A Systematic Review and Meta-Analysis

Artificial Intelligence–Assisted Colonoscopy in Real-World Clinical Practice: A Systematic Review and Meta-Analysis

Computer copilots for endoscopic diagnosis

Image enhanced colonoscopy: updates and prospects—a review

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