Background: An audit in 2002 showed that colonoscopy training in a large London training region was poorly structured, with the quality of supervision below recommendations and high reported complication rates. In 2004, the UK National Endoscopy Training Programme introduced centrally funded, accredited courses and new assessment tools to standardize training and raise the quality of colonoscopy by improving the skills of practicing endoscopists.
Aim: To evaluate the changes in the standard of colonoscopy training over the last 5 years.
Methods: Questionnaires used in the earlier study were updated and e-mailed to all gastroenterology trainees in the region and those who participated in the earlier study. Trainees completed and returned the forms electronically.
Results: Twenty-six out of 37 gastroenterology trainees responded (70.3%). Significantly more trainees said that they had been formally taught the principles of colonoscopy (91 vs. 65%; P = 0.02), polypectomy (81 vs. 52%; P = 0.02) and extubation (88 vs. 56%; P = 0.01) than in 2002, and reported that complication rates were lower. Trainers displayed more appropriate teaching strategies and course attendance had significantly increased (84 vs. 48%, P = 0.003). Eighty-seven percent of the trainees thought that their training had been adequate or better than adequate, compared with 25% in 2002.
Conclusion: In the 2007 survey, trainees reported a significant improvement both in colonoscopy training at base hospitals and in access to specialist courses compared with those in the 2002 survey. The centrally funded training programme has made a significantly positive impact in this large training region that is likely to be reflected elsewhere in England. The loss of such investment may have a detrimental effect on future colonoscopy training and the quality of service provision.
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http://dx.doi.org/10.1097/MEG.0b013e32832adfac | DOI Listing |
Sci Rep
January 2025
Ministry of Higher Education, Mataria Technical College, Cairo, 11718, Egypt.
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. The method entails several steps with CNN models: ADa-22 and AD-22, transformer networks, and an SVM classifier, all inbuilt.
View Article and Find Full Text PDFInt J Environ Res Public Health
January 2025
Department of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA.
Colorectal cancer (CRC) ranks third in terms of global cancer prevalence and is the second most common cause of cancer-related mortality. Although CRC rates are decreasing in the United States, inequalities still exist despite the effectiveness of invasive screening methods, such as colonoscopy, flexible sigmoidoscopy, and computed tomography (CT) colonography in detecting colorectal cancer. Many current interventions promoting CRC screening do not utilize a modern theory-based approach, which has led to the low utilization of these screening methods.
View Article and Find Full Text PDFERJ Open Res
January 2025
Copenhagen Academy for Medical Education and Simulation, Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark.
Rationale: Flexible bronchoscopy is an operator-dependent procedure. An automatic bronchial identification system based on artificial intelligence (AI) could help bronchoscopists to perform more complete and structured procedures through automatic guidance.
Methods: 101 participants were included from six different continents at the European Respiratory Society annual conference in Milan, 9-13 September 2023.
Enferm Clin (Engl Ed)
January 2025
Faculty of Nursing, Ankara University, Ankara, Turkey.
Objective: The aim of this study was to examine the effect of the nursing process applied by using standard nursing terminologies on colonoscopy preparation of outpatients on bowel cleansing.
Methods: The sample of the prospective, single-blind, randomized controlled study consisted of 116 patients (intervention n = 57, control n = 59). Both groups were interviewed face to face one week before the procedure day, nursing diagnoses were determined individually, and nursing outcome scales were employed as a baseline assessment.
Comput Biol Med
January 2025
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150080, China. Electronic address:
With the advent of the deep learning-based colonoscopy system, the need for a vast amount of high-quality colonoscopy image datasets for training is crucial. However, the generalization ability of deep learning models is challenged by the limited availability of colonoscopy images due to regulatory restrictions and privacy concerns. In this paper, we propose a method for rendering high-fidelity 3D colon models and synthesizing diversified colonoscopy images with abnormalities such as polyps, bleeding, and ulcers, which can be used to train deep learning models.
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