Background: To evaluate the effects on the Boston Bowel Preparation Scale (BBPS) score with different bowel preparation times and dosages.
Methods: Six hundred patients who underwent colonoscopy in the Endoscopy Center of Ningbo No.9 Hospital in 2021 were recruited and randomly assigned to 3 groups: Group A: "4-hour 1 + 2L" bowel preparation regimen; Group B: "6-hour 1 + 2L" bowel preparation regimen; and Group C: "4-hour 0 + 2L" bowel preparation regimen. BBPS score among these groups is compared and analyzed in the Statistical Product and Service Solutions software.
Results: There was no difference in baseline characteristics among the three groups of patients (P > .05). There was no significant difference in the BBPS score between Group B and Group C, whereas the BBPS score in Group A was significantly higher than that in Groups B and C (P < .05).
Conclusion: The "4-hour 1 + 2L" bowel preparation regimen can obtain higher BBPS score for colonoscopy, which is suggested to be the optimal plan for colonoscopy patients of the time and dosage. Definitely, higher BBPS score can improve the quality of colonoscopy diagnosis and treatment consequence.
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http://dx.doi.org/10.1097/MD.0000000000029897 | DOI Listing |
Sci Rep
January 2025
Nursing Department, The First Affiliated Hospital, Zhejiang University School of Medicine, Building 17, 3rd Floor 79 Qingchun Road, Hangzhou, 310003, China.
The quality of bowel preparation is an important factor in the success of colonoscopy. However, multiple influencing factors that function together can lead to inadequate bowel preparation. The main objective of this study was to explore the specific factors that affect the quality of bowel preparation, with the goal of deriving and validating a predictive model for inadequate bowel preparation in Chinese outpatients.
View Article and Find Full Text PDFScand J Gastroenterol
December 2024
Department of Gastroenterology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Background: High-quality bowel preparation is paramount for a successful colonoscopy. This study aimed to explore the effect of artificial intelligence-driven smartphone software on the quality of bowel preparation.
Methods: Firstly, we utilized 3305 valid liquid dung images collected mobile phones as training data.
J Korean Med Sci
December 2024
Department of Internal Medicine, Dong-A University College of Medicine, Busan, Korea.
Background: Oral sulfate tablets (OSTs) are bowel preparation agents that combine oral sulfate solution and simethicone. This study compared the efficacy, tolerability, and safety of OST compared to 2 L-polyethylene glycol plus ascorbic acid (2 L-PEG/ASC).
Methods: This prospective, randomized, controlled, single-blinded, multicenter, noninferiority trial enrolled 211 healthy adults who underwent colonoscopy between May 2020 and September 2022 at 13 university hospitals.
Diagnostics (Basel)
November 2024
Hepatogastroenterology Division, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Via L. de Crecchio, 80138 Naples, Italy.
Background/objectives: To date, no studies have evaluated Chat Generative Pre-Trained Transformer (ChatGPT) as a large language model chatbot in optical applications for digestive endoscopy images. This study aimed to weigh the performance of ChatGPT-4 in assessing bowel preparation (BP) quality for colonoscopy.
Methods: ChatGPT-4 analysed 663 anonymised endoscopic images, scoring each according to the Boston BP scale (BBPS).
Gastrointest Endosc
November 2024
Copenhagen Academy for Medical Education and Simulation, Rigshospitalet, Copenhagen, Denmark; Department of Computer Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
Background And Aims: Insufficient bowel preparation accounts for up to 42% of missed adenomas in colonoscopy. However, major analysis programs found no correlation between adenoma detection rate and the human-rated Boston Bowel Preparation Scale (BBPS), indicating limitations of the scale. We therefore aimed to develop an Open-Source Automatic Bowel Preparation Scale (OSABPS) based on artificial intelligence that is correlated to the polyp detection rate.
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