The European Colonoscopy Quality Investigation (ECQI) Group comprises expert colonoscopists and investigators with the aim of raising colonoscopy standards. We assessed the levels of monitoring and achievement of European Society of Gastrointestinal Endoscopy (ESGE) performance measures (PMs) across Europe using responses to the ECQI questionnaires. The questionnaire comprises three forms: institution and practitioner questionnaires are completed once; a procedure questionnaire is completed on multiple occasions for individual total colonoscopies. ESGE PMs were approximated as closely as possible from the data collected via the procedure questionnaire. Procedure data could provide rate of adequate bowel preparation, cecal intubation rate (CIR), withdrawal time, polyp detection rate (PDR), and tattooing resection sites. We evaluated ECQI questionnaire data collected between June 2016 and April 2018, comprising 91 practitioner and 52 institution questionnaires. A total of 6445 completed procedure forms were received. Institution and practitioner responses indicate that routine recording of PMs is not widespread: adenoma detection rate (ADR) is routinely recorded in 29 % of institutions and by 34 % of practitioners; PDR by 42 % and 47 %, CIR by 62 % and 64 %, bowel preparation quality by 56 % and 76 %, respectively. Procedure data showed a rate of adequate bowel preparation of 84.2 %, CIR 73.4 %, PDR 40.5 %, mean withdrawal time 7.8 minutes and 12.2 % of procedures with possible removal of a non-pedunculated lesion ≥ 20 mm reporting tattooing. Our findings clearly show areas in need of quality improvement and the importance of promoting quality monitoring throughout the colonoscopy procedure.
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http://dx.doi.org/10.1055/a-1486-6729 | DOI Listing |
Contemp Clin Trials
December 2024
San Francisco VA Medical Center, United States of America; Department of Medicine, University of California, San Francisco, CA, United States of America; Measurement Science Quality Enhancement Research Initiative, San Francisco VA Healthcare System, United States of America. Electronic address:
Background: Colorectal cancer (CRC) prevention is a Veterans Affairs (VA) priority. Colonoscopy quality, especially adenoma detection rate (ADR), is critical for effective screening. Our research indicates considerable variation in ADR among VA providers.
View Article and Find Full Text PDFBackground: Artificial intelligence (AI) has significantly impacted medical imaging, particularly in gastrointestinal endoscopy. Computer-aided detection and diagnosis systems (CADe and CADx) are thought to enhance the quality of colonoscopy procedures.
Summary: Colonoscopy is essential for colorectal cancer screening, but often misses a significant percentage of adenomas.
Cureus
November 2024
Gastroenterology, University Hospitals Cleveland Medical Center, Cleveland, USA.
Background Inpatient bowel preparation is often suboptimal. Few interventions have been effective at improving its success rate. We determined the clinical features associated with suboptimal inpatient bowel preparation and analyzed the ability of an easily implementable set of instructions inserted into the electronic health record to improve the success of bowel preparation.
View Article and Find Full Text PDFClin Interv Aging
December 2024
Department of Anesthesiology, People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, People's Republic of China.
Background: Remimazolam, a novel ultra-short-acting benzodiazepine, shows promise for procedural sedation. This study compared the cognitive recovery of remimazolam versus propofol in elderly patients undergoing colonoscopy.
Patients And Methods: In this prospective, randomized, double-blind, controlled trial, 228 patients aged ≥ 65 years undergoing outpatient colonoscopies were recruited.
Scand 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.
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