NCT06769867

(Withdrawal) AI-Based Low-Dose 3D-DSA Reconstruction

(Withdrawal) Validation of a Patient-Specific Generative AI-Based Low-Dose Cerebrovascular 3D-DSA Image Reconstruction Method: A Stepwise, Multicenter, Randomized Crossover Trial

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 134 (estimated)
• Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

If the participants agree to participate in this study, the participants will undergo two scans (classic 3D-DSA and PS-3D-DSA assisted scan) to compare the imaging effects of both. After the procedure, the investigators will record the radiation exposure and collect DSA images.

Detailed description

Although several previous studies have used deep learning methods to reduce 3D-DSA radiation dose, no prospective clinical trial had yet validated the practical application of these models. Herein, the investigators introduce a patient-specific generative AI-based low-dose cerebrovascular 3D-DSA image reconstruction method (PS-3D-DSA) to reconstruct 3D-DSA images from ultra-sparse 2D projection views and a prospective cohort is used to validate its efficacy in clinical practice.

Conditions

• Cerebrovascular Disease

Interventions

Type	Name	Description
RADIATION	PS-3D-DSA	undergo a PS-3D-DSA scan
RADIATION	classic 3D-DSA	undergo a classic 3D-DSA scan

Timeline

• Start date: 2025-04-15
• Primary completion: 2025-05-31
• Completion: 2025-05-31
• First posted: 2025-01-10
• Last updated: 2025-03-18

Locations

1 site across 1 country: China