Ignite Creation Date:
2024-05-06 @ 8:25 PM
Last Modification Date:
2024-10-26 @ 3:27 PM
Study NCT ID:
NCT06372756
Status:
RECRUITING
Last Update Posted:
2024-04-18
First Post:
2024-04-11
Brief Title:
Deep Learning Reconstruction Algorithms in Dual Low-dose CTA
Sponsor:
Hao Tang
Organization:
Tongji Hospital
Study Overview
Official Title:
Evaluation of Deep Learning Reconstruction Algorithms in Dual Low-dose CT Vascular Imaging
Status:
RECRUITING
Status Verified Date:
2024-04
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:
The goal of this observational study is to evaluate the impact of deep learning image reconstruction on the image quality and diagnostic performance of double low-dose CTA The main question it aims to answer is to explore the feasibility of deep learning image reconstruction in double low-dose CTA
Detailed Description:
1 The raw data from patients who underwent head and neck CTA coronary CTA and abdominal CTA in both standard dose and double low-dose groups were included
2 Techniques such as filtered back projection iterative reconstruction and deep learning reconstruction were performed
3 The feasibility of deep learning reconstruction in double low-dose CTA was evaluated based on image quality and diagnostic performance
2 Techniques such as filtered back projection iterative reconstruction and deep learning reconstruction were performed
3 The feasibility of deep learning reconstruction in double low-dose CTA was evaluated based on image quality and diagnostic performance
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