Ignite Creation Date:
2024-05-06 @ 10:48 AM
Last Modification Date:
2024-10-26 @ 12:36 PM
Study NCT ID:
NCT03359343
Status:
UNKNOWN
Last Update Posted:
2018-01-12
First Post:
2017-11-27
Brief Title:
Computer-assisted Diagnosis System Based on Linked Colour Imaging
Sponsor:
Affiliated Hospital to Academy of Military Medical Sciences
Organization:
Affiliated Hospital to Academy of Military Medical Sciences
Study Overview
Official Title:
Computer-aided Classification of Colorectal Polyp by Using Linked Colour Imaging
Status:
UNKNOWN
Status Verified Date:
2018-01
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Linked color imaging LCIa 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
Detailed Description:
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 Thereaftera 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
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None