Ignite Creation Date:
2024-05-06 @ 7:14 PM
Last Modification Date:
2024-10-26 @ 3:03 PM
Study NCT ID:
NCT05942677
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
2023-11-13
First Post:
2023-07-04
Brief Title:
Comparison of Flat Colorectal Lesion Detection by Artificial Intelligence-assisted Colonoscopy Versus Endoscopists
Sponsor:
Hospices Civils de Lyon
Organization:
Hospices Civils de Lyon
Study Overview
Official Title:
Comparison of Flat Colorectal Lesion Detection by Artificial Intelligence-assisted Colonoscopy Versus Endoscopists AIChallenge - Medtronic
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2023-07
Last Known Status:
None
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:
AIChallengeMed
Brief Summary:
The development of artificial intelligence AI systems in the field of colorectal endoscopy is currently booming colorectal cancer being by its frequency and severity a real public health problem
In terms of image analysis AI is indeed able to perform many tasks simultaneously lesion detection classification and segmentation and to combine them
Lesion detection is thus the starting point of the whole chain to choose at the end the most appropriate treatment for the patient Large-scale studies have demonstrated the superiority of artificial intelligence-assisted detection over the usual detection by gastroenterologists mainly for the detection of sub-centimeter polyps
However the investigators have shown that a recent computer-aided detection system CADe such as the ENDO-AID software in combination with the EVIS X1 video column Olympus Tokyo Japan may present difficulties in the detection of flat lesions such as sessile serrated lesions SSLs and non-granular laterally spreading tumors LST-NGs
This represents a major challenge because in addition to their shape being difficult to identify for the human eye in practice and where AI assistance would be of great value these rare lesions are associated with advanced histology
In addition the investigators recently described the case of a worrisome false negative of AI-assisted colonoscopy which failed to detect a flat adenocarcinoma in the transverse colon
Therefore it is important to measure the false negative rate of AI detection based on the macroscopic shape of the lesion Comparing this rate to the human endoscopists false negatives would improve the performance of AI for this specific lesion subtype in the future
In terms of image analysis AI is indeed able to perform many tasks simultaneously lesion detection classification and segmentation and to combine them
Lesion detection is thus the starting point of the whole chain to choose at the end the most appropriate treatment for the patient Large-scale studies have demonstrated the superiority of artificial intelligence-assisted detection over the usual detection by gastroenterologists mainly for the detection of sub-centimeter polyps
However the investigators have shown that a recent computer-aided detection system CADe such as the ENDO-AID software in combination with the EVIS X1 video column Olympus Tokyo Japan may present difficulties in the detection of flat lesions such as sessile serrated lesions SSLs and non-granular laterally spreading tumors LST-NGs
This represents a major challenge because in addition to their shape being difficult to identify for the human eye in practice and where AI assistance would be of great value these rare lesions are associated with advanced histology
In addition the investigators recently described the case of a worrisome false negative of AI-assisted colonoscopy which failed to detect a flat adenocarcinoma in the transverse colon
Therefore it is important to measure the false negative rate of AI detection based on the macroscopic shape of the lesion Comparing this rate to the human endoscopists false negatives would improve the performance of AI for this specific lesion subtype in the future
Detailed Description:
None
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