Colorectal Polyp Clinical Trial
Official title:
Computer-aided Classification of Colorectal Polyp by Using Linked Colour Imaging
Linked color imaging (LCI),a new endoscopy modality, creates clear and bright images by using short wavelength narrow band laser light. LCI can make red area appear redder and white areas appear whiter. Thus, it may be possible to distinguish adenoma and non-adenoma polyps based on color evaluation of LCI images. This study aimed to assess the correlation between histology results and LCI images. Moreover, the investigators conducted a pilot study to explore the clinical potential of LCI to distinguish adenoma and non-adenoma polyps and the accuracy of an automatic computer-aided diagnosis system using LCI imagine to predict histology polyps when compared to human experts physicians.
Status | Recruiting |
Enrollment | 250 |
Est. completion date | February 1, 2018 |
Est. primary completion date | February 1, 2018 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 16 Years to 80 Years |
Eligibility |
Inclusion Criteria: - at least one polyp found during colonoscopy examination. Exclusion Criteria: - poor quality of bowel preparation which impedes histology evaluation; previous resection of colon; inflammatory bowel disease; familiar adenomatous polyposis; Peutz-Jeghers syndrome or other polyposis syndrome. |
Country | Name | City | State |
---|---|---|---|
China | Affiliated Hospital to Academy of Military Medical Sciences | Beijing | Beijing |
China | Department of Gastroenterology, Affilited Hospital to Academy of Military Medical Sciences | Beijing |
Lead Sponsor | Collaborator |
---|---|
Affiliated Hospital to Academy of Military Medical Sciences |
China,
Dohi O, Yagi N, Onozawa Y, Kimura-Tsuchiya R, Majima A, Kitaichi T, Horii Y, Suzuki K, Tomie A, Okayama T, Yoshida N, Kamada K, Katada K, Uchiyama K, Ishikawa T, Takagi T, Handa O, Konishi H, Naito Y, Itoh Y. Linked color imaging improves endoscopic diagnosis of active Helicobacter pylori infection. Endosc Int Open. 2016 Jul;4(7):E800-5. doi: 10.1055/s-0042-109049. — View Citation
Fukuda H, Miura Y, Hayashi Y, Takezawa T, Ino Y, Okada M, Osawa H, Lefor AK, Yamamoto H. Linked color imaging technology facilitates early detection of flat gastric cancers. Clin J Gastroenterol. 2015 Dec;8(6):385-9. doi: 10.1007/s12328-015-0612-9. Epub 2015 Nov 11. — View Citation
Sun X, Dong T, Bi Y, Min M, Shen W, Xu Y, Liu Y. Linked color imaging application for improving the endoscopic diagnosis accuracy: a pilot study. Sci Rep. 2016 Sep 19;6:33473. doi: 10.1038/srep33473. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | LCI accuracy | the accuracy between a novel developed computer-aided diagnosis system and human experts physicians o distinguish adenoma polyps and non-adenoma polyps based on LCI image. | June 1, 2018 | |
Secondary | the short learning curve | the accuracy between experts and non-experts to distinguish adenoma polyps and non-adenoma polyps based on LCI image was compared to explore whether LCI method is of an shorter learning curve. | June 1, 2018 | |
Secondary | the correlation | the correlation between LCI image and histology results were retrospectively explored | June 1, 2018 |
Status | Clinical Trial | Phase | |
---|---|---|---|
Completed |
NCT04192565 -
A Prospective Investigation of the ColubrisMX ELS System
|
N/A | |
Completed |
NCT04516785 -
Reducing Colonoscopies in Patients Without Significant Bowel Disease
|
||
Not yet recruiting |
NCT05776381 -
The Impact of a Patient Decision Aid on Treatment Choices for Patients With an Unexpected Malignant Colorectal Polyp
|
Phase 2 | |
Recruiting |
NCT06040632 -
IMPROVE-pT1: Accurate Allocation of Completion Resection in Early Colorectal Cancer
|
||
Recruiting |
NCT05660317 -
Assessment of Endoscopic Tip Control Using a Novel Score Based on the Snare Tip Soft Coagulation of Polypectomy Margin Defects
|
||
Withdrawn |
NCT05606081 -
Predicting Risk for Post-polypectomy Colorectal Cancer
|
N/A | |
Recruiting |
NCT05576506 -
Application of Hyperspectral Imaging Analysis Technology in the Diagnosis of Colorectal Cancer Based on Colonoscopic Biopsy
|
||
Not yet recruiting |
NCT05545189 -
Polyp Histology Prediction by Artificial Intelligence
|
||
Recruiting |
NCT06032104 -
Feasibility and Colorectal Benefits of Pulses Supplementation
|
N/A | |
Completed |
NCT05477836 -
Feasibility and Safety of MiWEndo-assisted Colonoscopy
|
N/A | |
Completed |
NCT04111601 -
BLI Based Adenoma Surveillance Strategy
|
||
Completed |
NCT03822390 -
Diagnostic Performance of a Convolutional Neural Network for Diminutive Colorectal Polyp Recognition
|
||
Recruiting |
NCT05545787 -
Cold or Hot Snare Endoscopic Mucosal Resection for 10-19mm Non-pedunculated Colorectal Polyps
|
N/A | |
Recruiting |
NCT04149184 -
Computer-aided Detection Device in Standard Colonoscopy
|
N/A | |
Completed |
NCT04349787 -
Improving Optical Diagnosis of Colorectal Polyps Using CADx and BASIC.
|
||
Not yet recruiting |
NCT05041478 -
Cold Snare Endoscopic Mucosal Resection (EMR) vs Cold EMR With Margin Snare Tip Soft Coagulation (STSC)
|
N/A | |
Active, not recruiting |
NCT05846295 -
Online Education Module to Accurately Classify Polyp Size
|
N/A | |
Completed |
NCT03712059 -
National Colorectal Polyp Care
|
||
Recruiting |
NCT06447012 -
Artificial Intelligence Development for Colorectal Polyp Diagnosis
|
||
Recruiting |
NCT04407416 -
VOCs vs FIT for Colorectal Cancer Screening
|
N/A |