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Speedometer for withdrawal time monitoring during colonoscopy: a clinical implementation trial.

Publication ,  Journal Article
Barua, I; Misawa, M; Glissen Brown, JR; Walradt, T; Kudo, S-E; Sheth, SG; Nee, J; Iturrino, J; Mukherjee, R; Cheney, CP; Sawhney, MS; Mori, K ...
Published in: Scand J Gastroenterol
June 2023

OBJECTIVES: Meticulous inspection of the mucosa during colonoscopy, represents a lengthier withdrawal time, but has been shown to increase adenoma detection rate (ADR). We investigated if artificial intelligence-aided speed monitoring can improve suboptimal withdrawal time. METHODS: We evaluated the implementation of a computer-aided speed monitoring device during colonoscopy at a large academic endoscopy center. After informed consent, patients ≥18 years undergoing colonoscopy between 5 March and 29 April 2021 were examined without the use of the speedometer, and with the speedometer between 29 April and 30 June 2021. All colonoscopies were recorded, and withdrawal time was assessed based on the recordings in a blinded fashion. We compared mean withdrawal time, percentage of withdrawal time ≥6 min, and ADR with and without the speedometer. RESULTS: One hundred sixty-six patients in each group were eligible for analyses. Mean withdrawal time was 9 min and 6.6 s (95% CI: 8 min and 34.8 s to 9 min and 39 s) without the use of the speedometer, and 9 min and 9 s (95% CI: 8 min and 45 s to 9 min and 33.6 s) with the speedometer; difference 2.3 s (95% CI: -42.3-37.7, p = 0.91). The ADRs were 45.2% (95% CI: 37.6-52.8) without the speedometer as compared to 45.8% (95% CI: 38.2-53.4) with the speedometer (p = 0.91). The proportion of colonoscopies with withdrawal time ≥6 min without the speedometer was 85.5% (95% CI: 80.2-90.9) versus 86.7% (95% CI: 81.6-91.9) with the speedometer (p = 0.75). CONCLUSIONS: Use of speed monitoring during withdrawal did not increase withdrawal time or ADR in colonoscopy. CLINICALTRIALS.GOV IDENTIFIER: NCT04710251.

Duke Scholars

Published In

Scand J Gastroenterol

DOI

EISSN

1502-7708

Publication Date

June 2023

Volume

58

Issue

6

Start / End Page

664 / 670

Location

England

Related Subject Headings

  • Time Factors
  • Humans
  • Gastroenterology & Hepatology
  • Colorectal Neoplasms
  • Colonoscopy
  • Colonic Polyps
  • Artificial Intelligence
  • Adult
  • Adenoma
  • 3202 Clinical sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Barua, I., Misawa, M., Glissen Brown, J. R., Walradt, T., Kudo, S.-E., Sheth, S. G., … Mori, Y. (2023). Speedometer for withdrawal time monitoring during colonoscopy: a clinical implementation trial. Scand J Gastroenterol, 58(6), 664–670. https://doi.org/10.1080/00365521.2022.2154616
Barua, Ishita, Masashi Misawa, Jeremy R. Glissen Brown, Trent Walradt, Shin-Ei Kudo, Sunil G. Sheth, Judy Nee, et al. “Speedometer for withdrawal time monitoring during colonoscopy: a clinical implementation trial.Scand J Gastroenterol 58, no. 6 (June 2023): 664–70. https://doi.org/10.1080/00365521.2022.2154616.
Barua I, Misawa M, Glissen Brown JR, Walradt T, Kudo S-E, Sheth SG, et al. Speedometer for withdrawal time monitoring during colonoscopy: a clinical implementation trial. Scand J Gastroenterol. 2023 Jun;58(6):664–70.
Barua, Ishita, et al. “Speedometer for withdrawal time monitoring during colonoscopy: a clinical implementation trial.Scand J Gastroenterol, vol. 58, no. 6, June 2023, pp. 664–70. Pubmed, doi:10.1080/00365521.2022.2154616.
Barua I, Misawa M, Glissen Brown JR, Walradt T, Kudo S-E, Sheth SG, Nee J, Iturrino J, Mukherjee R, Cheney CP, Sawhney MS, Pleskow DK, Mori K, Løberg M, Kalager M, Wieszczy P, Bretthauer M, Berzin TM, Mori Y. Speedometer for withdrawal time monitoring during colonoscopy: a clinical implementation trial. Scand J Gastroenterol. 2023 Jun;58(6):664–670.

Published In

Scand J Gastroenterol

DOI

EISSN

1502-7708

Publication Date

June 2023

Volume

58

Issue

6

Start / End Page

664 / 670

Location

England

Related Subject Headings

  • Time Factors
  • Humans
  • Gastroenterology & Hepatology
  • Colorectal Neoplasms
  • Colonoscopy
  • Colonic Polyps
  • Artificial Intelligence
  • Adult
  • Adenoma
  • 3202 Clinical sciences