Ignite Creation Date:
2024-05-06 @ 7:30 PM
Last Modification Date:
2024-10-26 @ 3:08 PM
Study NCT ID:
NCT06037343
Status:
RECRUITING
Last Update Posted:
2023-09-15
First Post:
2023-08-31
Brief Title:
Deep Learning Image Reconstruction for Abdominal CT of Hepatocellular Carcinoma Compared With 3-TESLA MRI
Sponsor:
Central Hospital Nancy France
Organization:
Central Hospital Nancy France
Study Overview
Official Title:
Deep Learning Image Reconstruction for Abdominal CT of Hepatocellular Carcinoma Compared With 3-TESLA MRI
Status:
RECRUITING
Status Verified Date:
2023-09
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:
None
Brief Summary:
New algorithms for processing CT acquisitions based on artificial intelligence have been reported to improve acquisition quality Thats why its possible to imagine that new scan post-processing algorithms enable better detection and characterization of hepatocellular carcinoma lesions than with standard reconstructions DLIR reconstructions could even match with MRI detection
The aim of the study is to compare the detection and characterization of hepatic lesions according to the LI-RADS classification in CT with DLIR artificial intelligence reconstruction compared with ASIR-V reconstruction and the gold standard of MRI
The aim of the study is to compare the detection and characterization of hepatic lesions according to the LI-RADS classification in CT with DLIR artificial intelligence reconstruction compared with ASIR-V reconstruction and the gold standard of MRI
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