Ignite Creation Date:
2025-12-24 @ 11:35 PM
Ignite Modification Date:
2025-12-25 @ 9:25 PM
Study NCT ID:
NCT06372756
Status:
RECRUITING
Last Update Posted:
2024-04-18
First Post:
2024-04-11
Is NOT Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
Deep Learning Reconstruction Algorithms in Dual Low-dose CTA
Sponsor:
Hao Tang
Organization:
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?: