Adenomatous Polyps Clinical Trial
Official title:
Development of a Computer-aided Polypectomy Decision Support
Quality components of colonoscopy include the detection and complete removal of colorectal polyps, which are precursors to CRC. However, endoscopic ablation may be incomplete, posing a risk for the development of "interval cancers". The investigators propose to develop a solution based on artificial intelligence (AI) (CADp computer-aided decision support polypectomy) to solve this problem.This research project aims to develop CADp, a computer decision support solution (CDS) for the ablation of colorectal polyps from 1 to 20 mm.
This research project aims to develop CADp, a computer-based decision support (CDS) solution for the removal of colorectal polyps ranging from 1-20 mm. The investigators will use a video and image dataset of polypectomy procedures to train the CADp model; thus, it can provide real-time overlaid video feedback for polypectomy procedures based on five specific metrics: 1) estimation of polyp size; 2) prediction of morphology and histology; 3) suggestion of an appropriate resection accessory and technical approach based on the characteristics, size, and histology of the polyp according to current guidelines; 4) image overlay, based on semantic image segmentation technology, showing the extent of the lesion and suggestion of an appropriate resection margin contour around the polyp to ensure its complete removal; 5) post-resection analysis to identify any remnant polyp tissue or insufficient resection margin that may increase this risk. The investigators will collect a set of images and video data from live polypectomy procedures to leverage recent advances in AI technology to train deep learning models. This dataset will be obtained prospectively from a cohort of adults (ages 45-80) undergoing screening, diagnostic, or surveillance colonoscopies. To train the CADp solution, the investigators will obtain the corresponding completeness of resection status using the yield of post-resection margin biopsies. The dataset will be divided into two groups, the training, and the CADp test, respectively. ;
Status | Clinical Trial | Phase | |
---|---|---|---|
Not yet recruiting |
NCT05954949 -
Detection of Ileoanal Pouch/Reservoir Adenomas
|
||
Completed |
NCT03647176 -
A Comparison of the Resection Rate of Cold Snare Polypectomy for Large (10-15 mm) and Small (5-9 mm) Colorectal Polyps
|
N/A | |
Not yet recruiting |
NCT01214031 -
Prospective Study for Evaluating Colon Polyp Histology With in Vivo Probe Based Confocal Laser Endomicroscopy
|
N/A | |
Completed |
NCT04287335 -
Multitarget Stool FIT-DNA Study for Colorectal Cancer Early Screening in China
|
||
Completed |
NCT00432913 -
Effect of 2 Doses of EPA on Apoptosis and Cell Proliferation on Colon Mucosa
|
Phase 2/Phase 3 | |
Completed |
NCT04195646 -
Computer Aided Detection of Polyps During Colonoscopy Procedures
|
N/A | |
Terminated |
NCT01476631 -
Step Down Colon Cancer Risk
|
N/A | |
Recruiting |
NCT02263144 -
Resect and Discard Extension to FICE of NIcE Classification
|
N/A | |
Completed |
NCT01224444 -
Complete Histologic Resection of Adenomatous Polyps?
|
N/A | |
Completed |
NCT05875584 -
Exploratory Study of a Novel Based rbcDNA Liquid Biopsy Technique for Colorectal Cancer Early Detection
|
||
Completed |
NCT01638091 -
Practice-Based Learning to Predict Polyp Histology at Colonoscopy
|
N/A | |
Terminated |
NCT00865527 -
Pilot Study of Colon Cancer Screening Tests
|
N/A | |
Withdrawn |
NCT04964596 -
Managing Colorectal Cancer Prevention Procedure Wait Lists During the COVID-19 Pandemic
|
N/A | |
Terminated |
NCT00486512 -
Chemoprevention of Colorectal Adenomas
|
Phase 3 | |
Completed |
NCT03197987 -
Comparison of Two Devices During Colonoscopy
|
N/A | |
Terminated |
NCT03220711 -
Study of Performance of Confocal Endomicroscope With Fluorescein Imaging Agent in the Colon
|
N/A | |
Completed |
NCT00966420 -
Traction Assisted Polypectomy of the Intestine
|
N/A | |
Terminated |
NCT00118989 -
Curcumin for the Chemoprevention of Colorectal Cancer
|
N/A | |
Recruiting |
NCT06220617 -
Multi-omics Study for Early Detection of Colorectal Cancer (MOED-CRC)
|
||
Completed |
NCT02476682 -
Non-invasive Risk Stratification of CR AMN/SSP
|