A Gastrointestinal Endoscopy Quality Control System Incorporated With Deep Learning Improved Endoscopist Performance in a Pretest and Post-Test Trial. Issue 6 (15th June 2021)
- Record Type:
- Journal Article
- Title:
- A Gastrointestinal Endoscopy Quality Control System Incorporated With Deep Learning Improved Endoscopist Performance in a Pretest and Post-Test Trial. Issue 6 (15th June 2021)
- Main Title:
- A Gastrointestinal Endoscopy Quality Control System Incorporated With Deep Learning Improved Endoscopist Performance in a Pretest and Post-Test Trial
- Authors:
- Yao, Liwen
Liu, Jun
Wu, Lianlian
Zhang, Lihui
Hu, Xiao
Liu, Jinzhu
Lu, Zihua
Gong, Dexin
An, Ping
Zhang, Jun
Hu, Guiying
Chen, Di
Luo, Renquan
Hu, Shan
Yang, Yanning
Yu, Honggang - Abstract:
- Abstract : INTRODUCTION: Gastrointestinal endoscopic quality is operator-dependent. To ensure the endoscopy quality, we constructed an endoscopic audit and feedback system named Endo.Adm and evaluated its effect in a form of pretest and posttest trial. METHODS: Endo.Adm system was developed using Python and Deep Convolutional Neural Ne2rk models. Sixteen endoscopists were recruited from Renmin Hospital of Wuhan University and were randomly assigned to undergo feedback of Endo.Adm or not (8 for the feedback group and 8 for the control group). The feedback group received weekly quality report cards which were automatically generated by Endo.Adm. We then compared the adenoma detection rate (ADR) and gastric precancerous conditions detection rate between baseline and postintervention phase for endoscopists in each group to evaluate the impact of Endo.Adm feedback. In total, 1, 191 colonoscopies and 3, 515 gastroscopies were included for analysis. RESULTS: ADR was increased after Endo.Adm feedback (10.8%–20.3%, P < 0.01, <odds ratio (OR) 2.13, 95% confidence interval (CI) 1.317–3.447), and endoscopists' ADR without feedback remained nearly unchanged (10.8%–10.9%, P = 0.57, OR 1.086, 95% CI 0.814–1.447). Gastric precancerous conditions detection rate increased in the feedback group (3%–7%, P < 0.01, OR 1.866, 95% CI 1.399–2.489) while no improvement was observed in the control group (3.9%–3.5%, P = 0.489, OR 0.856, 95% CI 0.550–1.332). DISCUSSION: Endo.Adm feedback contributed toAbstract : INTRODUCTION: Gastrointestinal endoscopic quality is operator-dependent. To ensure the endoscopy quality, we constructed an endoscopic audit and feedback system named Endo.Adm and evaluated its effect in a form of pretest and posttest trial. METHODS: Endo.Adm system was developed using Python and Deep Convolutional Neural Ne2rk models. Sixteen endoscopists were recruited from Renmin Hospital of Wuhan University and were randomly assigned to undergo feedback of Endo.Adm or not (8 for the feedback group and 8 for the control group). The feedback group received weekly quality report cards which were automatically generated by Endo.Adm. We then compared the adenoma detection rate (ADR) and gastric precancerous conditions detection rate between baseline and postintervention phase for endoscopists in each group to evaluate the impact of Endo.Adm feedback. In total, 1, 191 colonoscopies and 3, 515 gastroscopies were included for analysis. RESULTS: ADR was increased after Endo.Adm feedback (10.8%–20.3%, P < 0.01, <odds ratio (OR) 2.13, 95% confidence interval (CI) 1.317–3.447), and endoscopists' ADR without feedback remained nearly unchanged (10.8%–10.9%, P = 0.57, OR 1.086, 95% CI 0.814–1.447). Gastric precancerous conditions detection rate increased in the feedback group (3%–7%, P < 0.01, OR 1.866, 95% CI 1.399–2.489) while no improvement was observed in the control group (3.9%–3.5%, P = 0.489, OR 0.856, 95% CI 0.550–1.332). DISCUSSION: Endo.Adm feedback contributed to multifaceted gastrointestinal endoscopic quality improvement. This system is practical to implement and may serve as a standard model for quality improvement in routine work (http://www.chictr.org.cn/, ChiCTR1900024153). … (more)
- Is Part Of:
- Clinical and translational gastroenterology. Volume 12:Issue 6(2021)
- Journal:
- Clinical and translational gastroenterology
- Issue:
- Volume 12:Issue 6(2021)
- Issue Display:
- Volume 12, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 12
- Issue:
- 6
- Issue Sort Value:
- 2021-0012-0006-0000
- Page Start:
- e00366
- Page End:
- Publication Date:
- 2021-06-15
- Subjects:
- Stomach -- Diseases -- Periodicals
Intestines -- Diseases -- Periodicals
Gastroenterology
Gastrointestinal Diseases
Liver Diseases
Intestines -- Diseases
Stomach -- Diseases
Periodical
Periodicals
Fulltext
Internet Resources
Periodicals
Electronic journals
616.33 - Journal URLs:
- http://bibpurl.oclc.org/web/52768 ↗
http://www.nature.com/ctg ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/1564/ ↗
https://journals.lww.com/ctg/pages/default.aspx ↗
http://www.nature.com/ ↗ - DOI:
- 10.14309/ctg.0000000000000366 ↗
- Languages:
- English
- ISSNs:
- 2155-384X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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