Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A prospective, multicenter, randomized control trial of a real-time quality-control system for the colonoscopy examination of outpatient

ABSTRACT: Interventions: AI-first group:AI-assisted colonoscopy is performed first, followed by standard colonoscopy;SC-first group:standard colonoscopy is performed first, followed by AI-assisted colonoscopy Primary outcome(s): adenoma miss rate Study Design: Cross-over

DISEASE(S): Colorectal Adenoma

PROVIDER: 47631 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Effect of an Artificial Intelligence Computer-Aided Detection System on Adenoma Detection: A Multicenter Randomized Controlled Trial

Project description:Interventions: SC-AI group:standard colonoscopy is performed first, followed by AI-assisted colonoscopy;AI-SC group:AI-assisted colonoscopy is performed first, followed by standard colonoscopy Primary outcome(s): adenoma miss rate Study Design: Cross-over

| 80559 | ecrin-mdr-crc

The validation study of detectability and diagnostic accuracy of AI-aided endoscopic diagnosis system for colonoscopy

Project description:Interventions: Detection and diagnosis support for colorectal lesions to doctors by AAE system 1.Standard colonoscopy-first-group: Standard colonoscopy is performed first, followed by colonoscopy under the support of the AAE system 2.AAE-first-group: Colonoscopy under the support of the AAE system is performed first, followed by normal colonoscopy All colorectal polyps detected in any group are removed;D003113;Artificial Intelligence/Detection and diagnosis support Primary outcome(s): Adenoma miss rate Study Design: randomized controlled trial, single blind, no treatment control/standard of care control, parallel assignment, diagnostic purpose

| 2614654 | ecrin-mdr-crc

Outcomes of Disposable Distal Attachment Device (Endocuff and Transparent Plastic Cap) Assisted Colonoscopy

Project description:The purpose of the study is to compare the efficacy of device assisted colonoscopy (DAC) with standard colonoscopy (SC) in detecting adenomas in a randomized fashion.

| 2194636 | ecrin-mdr-crc

Computer-aided Detection During Screening Colonoscopy

Project description:Nowadays, colonoscopy is considered the gold standard for the detection of lesions in the colorectal mucosa. However, around 25% of polyps may be missed during the conventional colonoscopy. Based on this, new technological tools aimed to improve the quality of the procedures, diminishing the technical and operator-related factors associated with the missed lesions. These tools use artificial intelligence (AI), a computer system able to perform human tasks after a previous training process from a large dataset. The DiscoveryTM AI-assisted polyp detector (Pentax Medical, Hoya Group, Tokyo, Japan) is a newly developed detection system based on AI. It was designed to alert and direct the attention to potential mucosal lesions. According to its remarkable features, it may increase the polyp and adenoma detection rates (PDR and ADR, respectively) and decrease the adenoma miss rate (AMR). Based on the above, the investigators aim to assess the real-world effectiveness of the DiscoveryTM AI-assisted polyp detector system in clinical practice and compare the results between expert (seniors) and non-expert (juniors) endoscopists.

| 8858 | ecrin-mdr-crc

Comparison of AMR and ADR Between Endocuff Vision-assisted and Conventional Colonoscopy: a Multicenter Randomized Trial

Project description:The aim of this international multicenter study is to compare the adenoma detection rate and adenoma miss rate of conventional and Endocuff Vision-assisted colonoscopy.

| 2264782 | ecrin-mdr-crc

Accuracy of Real Time Characterization in Artificial Intelligence-assisted Colonoscopy

Project description:The goal of this substudy is to investigate the accuracy of a computer-aided polyp characterization (CADx) system. The main question[s] it aims to answer are: • How high is the specificity of the AI system when characterizing colorectal polyps Participants will receive a standard colonoscopy, assisted by the artificial intelligence (AI) assisted system GI Genius. Researchers will compare the AI system´s characterization with the histopathology to see how accurate the system is.

| 10350 | ecrin-mdr-crc

RITUAL Ultivision AI CADe Randomized Controlled Trial

Project description:Ultivision AI is a computer-assisted detection (CADe) device intended to aid endoscopists in the real-time identification of colonic mucosal lesions (such as polyps and adenomas). Ultivision AI CADe is indicated for white light colonoscopy only.

| 8660 | ecrin-mdr-crc

Computer-aided Detection During Screening Colonoscopy (Experts)

Project description:Evaluation of the colonic mucosa with a high definition colonoscope (EPKi7010 video processor). The endoscopy images will be seen on a 27inch, flat-panel, high-definition LCD monitor (Radiance ultraSC-WU27-G1520 model) only by one expert endoscopist, randomly assigned. The number, location, and polyps’ features (Paris classification) will be recorded by the operator. If a polyp is detected, the endoscopist will remove the polyp endoscopically with a cold snare. The same patient will be submitted to a second, the same session, computed aided real-time colonoscopy using the DISCOVERY, AI-assisted polyp detector. Colonoscopy will be performed by a same-level-of-expertise operator in comparison to the initial procedure. Any polyp or lesion detected with the AI system will be recorded and endoscopically removed and considered as a missed lesion from standard colonoscopy.

| 2379760 | ecrin-mdr-crc

Blood Gene Expression Profiling in Colorectal Cancer

Project description:In this work, we performed gene expression profiling for twenty-paired blood samples collected from healthy controls before and after colonoscopy, and twenty blood samples collected from<br>colorectal cancer patients after colonoscopy. The aim of this study is to determine how significant the colonoscopy procedure may impact the global gene expression in human peripheral blood, and whether this colonoscopy induced variability would bias the biomarker research for colorectal cancer early detection.

2013-10-01 | E-MEXP-3756 | biostudies-arrayexpress

Updated and validated global cis-regulatory element map which includes the M/m sex-determining region of Aedes aegypti

Project description:Formaldehyde assisted isolation of regulatory element (FAIRE) enrichment was used to recover open chromatin from A. aegypti embryos. Next-generation sequencing of FAIRE DNA was performed. Computational detection and analysis of FAIRE-enriched DNA sequences followed.

2020-11-26 | GSE162150 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data