Computer-assisted Diagnosis System Based on Linked Colour Imaging

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Total Enrollment

250 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-10-01

Study Completion Date

2018-02-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

Linked-color Imaging for the Detection of Colorectal Flat Lesions

NCT03272945

Colonic Polyp

COMPLETED NA

Linked Color Imaging vs. White Light for Colorectal Dysplasia in Ulcerative Colitis

NCT02772406

Ulcerative Colitis

UNKNOWN NA

Linked Color Imaging (LCI) for Colorectal Adenoma Detection

NCT03690297

Colon Adenoma Colonic Polyp

COMPLETED NA

Linked Color Imaging/Magnifying Blue Laser Imaging vs. White Light for Adenomas and Serrated Lesions in Proximal Colon

NCT02724397

Colon Cancer

UNKNOWN NA

Linked-Color Imaging Versus Indigo Carmine Pump Spraying on the Colorectal Adenoma Detection Rate

NCT06961149

Colonic Polyps Adenomatous Polyps Adenoma Detection Rate +2 more

RECRUITING NA

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

This study consists of a retrospective analysis and a pilot study. In the retrospective study, the investigators tried to find out an correlation between LCI images and histology results for polyp lesions. And a computer-aided analysis of the images was conducted to demonstrate the correlation objectively. Thereafter,a pilot study was performed to explore whether the previous correlation could be easily learned to distinguish adenoma and non-adenoma polyps by comparing the results of experts diagnosis of LCI image and non-experts. Also, in the pilot study, the investigators assessed the accuracy of an automate histology diagnosis method for polyp LCI images using the computer-aided system when compared to human experts physicians. Throughout the entire research, histology results are regarded as gold standard.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Colorectal Polyp Linked Color Imaging Computer-aided Diagnosis

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

experts

In this group, two experts distinguish a set of polyps on LCI images as adenoma or non-adenoma.

No interventions assigned to this group

non-experts

In this group, two non-experts distinguish the set of polyps(the same to experts group) on LCI images as adenoma or non-adenoma.

No interventions assigned to this group

Computer-aided diagnosis system

In this group, a newly developed computer-aided diagnosis system will be used to distinguish a set of polyps as adenoma or non-adenoma.

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

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.

Minimum Eligible Age

16 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes