Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Improving trainees’ and/or teachers‘ colonoscopy performance by investigating the withdrawal time from individual colonic segment

ABSTRACT: Interventions: colonoscopy:colonoscopy by trainee A;colonoscopy:colonoscopy by trainee B;colonoscopy:colonoscopy by trainee C;colonoscopy:colonoscopy by trainee D;colonoscopy:colonoscopy by trainee E;colonoscopy:colonoscopy by trainee F;colonoscopy:colonoscopy by teacher A;colonoscopy:colonoscopy by teacher B;colonoscopy:colonoscopy by teacher C Primary outcome(s): ADR;PDR Study Design: Factorial

DISEASE(S): Colorectal Cancer

PROVIDER: 2701475 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Withdrawal Time and Use of Wide-angle Endoscope to Increase the Adenoma Detection Rate of Screening Colonoscopy

Project description:Colonoscopy outcome is strictly related to the adenoma detection rate (ADR). An endoscopy withdrawal time >6min has been suggested to increase the ADR since it allows for thorough evaluation of the several hidden areas of the colon. The FUSE, full spectrum endoscopy system, has been demonstrated to reduce the rate of missed lesions due to its wide-angle view. In the present study the authors evaluate the impact of WT on ADR for High Definition Standard Endoscopes with just a single imager to the FUSE endoscope.

| 2231538 | ecrin-mdr-crc

Colonic mucosa of ulcerative colitis patients treated with biological agents

Project description:Colonoscopy biopsies from patients with ulcerative colitis were collected prior to biological therapy. The sampled mucosa was the area of active lesion. Heterogenety of the samples were studied.

2022-12-17 | GSE220815 | GEO

Stool proteomics for improving colorectal cancer screening

Project description:This proof-of-concept study aimed to evaluate the potential of proteomics-based screening, using label-free quantitative proteomic data obtained through SWATH analysis of residual FIT samples, as a triage tool for patients referred for colonoscopy following a positive fecal immunochemical test (FIT). Bioinformatics approaches, including machine learning, were employed to identify potential predictive biomarkers and develop models to distinguish advanced adenomas (AA) and colorectal cancer (CRC) from control samples.

2026-02-23 | PXD066834 | Pride

RNA sequencing of ex vivo human colonic mucosal Vg2/3/4+ CD103+ and CD103negative T cells

Project description:Purpose: to characterise the steady state gene expression and transcriptomic characteristic of tissue residernt human colonic mucosal gd T cells from controls undergoing routine colonoscopy.

2022-12-31 | GSE218058 | GEO

Effects of reduced nicotine content cigarettes on individual withdrawal symptoms over time and during abstinence.

Project description: Not available

| S-EPMC5986583 | biostudies-literature

Infants' Knowledge of Individual Words: Investigating Links Between Parent Report and Looking Time.

Project description: Not available

| S-EPMC11621253 | biostudies-literature

RNA sequencing of resident human colonic gd T cells bearing the Vg2/3/4 receptor stimulated with butyrophilin-like (BTNL) 3 and BTNL8

2023-10-03 | GSE224412 | GEO

Adenoma Detection Rate Using Endocuff Vision in China

Project description:The primary aim of this study is - to explore the usefulness of Endocuff Vision in colonoscopy on adenoma detection rate (ADR). Other aims include to explore the data below when Endocuff Vision is used. Mean adenomas detected per procedure, MAP Proximal Adenoma detection rate, pADR Polyp detection rate, PDR Proximal polyp detection rate, pPDR Mean polyps detected per procedure, MPP Withdrawal time, WT Cecal intubation rate, CIR Cecal intubation time, CIT

| 2297058 | ecrin-mdr-crc

Usefulness of GI-GENIUS in FIT-based Colorectal Cancer Screening Program.

Project description:Deep learning technology has an increasing role in medical image applications and, recently, an artificial intelligence device has been developed and commercialized by Medtronic for identification of polyps during colonoscopy (GI-GENIUS). This kind of computer-aided detection (CADe) devices have demonstrated its ability for improving polyp detection rate (PDR) and the adenoma detection rate (ADR). However, this increase in PDR and ADR is mainly made at the expense of small polyps and non advanced adenomas. Colonoscopies after a positive fecal immunochemical test (FIT) could be the scenario with a higher prevalence of advanced lesions which could be the ideal situation for demonstrating if these CADe systems are able also to increase the detection of advanced lesions and which kind of advanced lesions are these systems able to detect. The CADILLAC study will randomize individuals within the population-based Spanish colorectal cancer screening program to receive a colonoscopy where the endoscopist is assisted by the GI-GENIUS device or to receive a standard colonoscopy. If our results are positive, that could suppose a big step forward for CADe devices, in terms of definitive demonstration of being of help for efectively identify also advanced lesions.

| 2361108 | ecrin-mdr-crc

Clinically meaningful individual differences in opioid withdrawal expression.

Project description: Not available

| S-EPMC10638457 | biostudies-literature