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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT05414383
Other study ID # 2022.160
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date December 2024
Est. completion date December 31, 2025

Study information

Verified date February 2024
Source Chinese University of Hong Kong
Contact Felix Sia
Phone 26370428
Email felixsia@cuhk.edu.hk
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The investigators hypothesize that a newly developed CADx system will have a higher diagnostic accuracy in predicting histopathology of colorectal neoplasia than both expert and junior endoscopists.


Description:

Accurate diagnosis and characterization of colorectal polyps is essential before endoscopic resection. Optical diagnosis by enhanced imaging modality (e.g. Narrow Band Imaging, NBI) allows real-time prediction of histopathology. It can assist endoscopists to select the appropriate technique and differentiate between neoplastic or non-neoplastic polyps. Nevertheless, due to the substantial inter-observer variability, the widespread use was limited. Recently, artificial intelligence and computer-aided polyp diagnosis (CADx) systems have evolved rapidly. The major limitation was the heterogeneity from different types of imaging modalities. Endocytoscopic images require extra steps for pre-staining and magnification, which are time consuming and operator dependent. As a result, it limits the generalisability and applicability in real-world settings. A novel CADx system will be developed for real-time histopathological prediction of colorectal neoplasia, by using non-magnified conventional white-light and image enhanced endoscopy (NBI). The diagnostic accuracy of this CADx system will be compared with both expert and junior endoscopists.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 510
Est. completion date December 31, 2025
Est. primary completion date December 1, 2025
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: 1. They have received colonoscopy for screening, surveillance or symptom investigation; 2. They have endoscopic images and videos captured and stored during colonoscopy which are available to be retrieved; 3. They have histologically proven colorectal neoplasia. 4. Written consent obtained Exclusion Criteria: 1. Poor quality endoscopic images and videos defined as: 1. Incomplete visualization of the colorectal neoplasia due to technical reasons (e.g. out-of-focus, motion-blurred or insufficient illumination); 2. Artifacts due to mucus, air bubbles, stool, or blood. 2. Active gastrointestinal bleeding; 3. Fulminant colitis; 4. Obscured view due to poor bowel preparation; 5. Artificial staining of lesion due to chromoendoscopy. 6. Unable to obtain informed consent

Study Design


Related Conditions & MeSH terms


Intervention

Device:
CADx
A novel CADx system for real-time histopathological prediction of colorectal neoplasia, by using non-magnified conventional white-light and image enhanced endoscopy.

Locations

Country Name City State
n/a

Sponsors (3)

Lead Sponsor Collaborator
Chinese University of Hong Kong Nanfang Hospital, Southern Medical University, University College, London

Outcome

Type Measure Description Time frame Safety issue
Primary Diagnostic accuracy area under receiver operating characteristic curves, AUROC in prediction of final histopathology During the colonoscopy
Secondary Sensitivity Sensitivity During the colonoscopy
Secondary Specificity Specificity During the colonoscopy
Secondary Positive predictive value Positive predictive value During the colonoscopy
Secondary Negative predictive value Negative predictive value During the colonoscopy
Secondary Diagnostic time Diagnostic time During the colonoscopy
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