(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
1 other identifier
interventional
134
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Apr 2025
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 2, 2025
CompletedFirst Posted
Study publicly available on registry
January 10, 2025
CompletedStudy Start
First participant enrolled
April 15, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
May 31, 2025
CompletedMarch 18, 2025
March 1, 2025
2 months
January 2, 2025
March 13, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The radiation dose received by patients during interventional procedures when using two scanning protocols (classic 3D-DSA and PS-3D-DSA)
Using the built-in radiation monitoring function of interventional surgical equipment (DSA system), the radiation dose (AK,air kerma) received by the patient during the procedure is directly measured and recorded. The collected radiation dose data is documented in the patient's medical records and stored in the research database for subsequent analysis and comparative studies.
No more than 6 hours
Secondary Outcomes (1)
The image diagnostic capabilities using two scanning protocols (classic 3D-DSA and PS-3D-DSA)
No more than 1 month
Other Outcomes (1)
Comparison of image quality using two scanning protocols (classic 3D-DSA and PS-3D-DSA)
No more than 1 month
Study Arms (2)
PS-3D-DSA
EXPERIMENTALundergo a PS-3D-DSA scan
classic 3D-DSA
SHAM COMPARATORundergo a classic 3D-DSA scan
Interventions
Eligibility Criteria
You may qualify if:
- Age ≥18 years.
- Requires 3D-DSA-guided interventional diagnosis or treatment (e.g., cerebral angiography, cerebral artery chemoembolization) and meets operational indications.
- Can understand the study's purpose, procedures, potential risks, and benefits, and voluntarily signs a written informed consent form.
You may not qualify if:
- Severe heart or lung disease, such as heart failure or chronic obstructive pulmonary disease (COPD).
- History of high-dose radiation exams or treatments.
- Known allergies or severe adverse reactions to iodine contrast agents or other relevant medications.
- Pregnant or breastfeeding women.
- Severe comorbidities or chronic diseases (e.g., severe diabetes, renal insufficiency).
- Severe mental illness or cognitive impairment preventing understanding of the study procedures or providing informed consent.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Wuhan Union Hospital
Wuhan, Hubei, 430022, China
Related Publications (2)
van Asch CJ, Velthuis BK, Rinkel GJ, Algra A, de Kort GA, Witkamp TD, de Ridder JC, van Nieuwenhuizen KM, de Leeuw FE, Schonewille WJ, de Kort PL, Dippel DW, Raaymakers TW, Hofmeijer J, Wermer MJ, Kerkhoff H, Jellema K, Bronner IM, Remmers MJ, Bienfait HP, Witjes RJ, Greving JP, Klijn CJ; DIAGRAM Investigators. Diagnostic yield and accuracy of CT angiography, MR angiography, and digital subtraction angiography for detection of macrovascular causes of intracerebral haemorrhage: prospective, multicentre cohort study. BMJ. 2015 Nov 9;351:h5762. doi: 10.1136/bmj.h5762.
PMID: 26553142BACKGROUNDIrfan M, Malik KM, Ahmad J, Malik G. StrokeNet: An automated approach for segmentation and rupture risk prediction of intracranial aneurysm. Comput Med Imaging Graph. 2023 Sep;108:102271. doi: 10.1016/j.compmedimag.2023.102271. Epub 2023 Jul 22.
PMID: 37556901BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- TRIPLE
- Who Masked
- PARTICIPANT, INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- DIAGNOSTIC
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MD
Study Record Dates
First Submitted
January 2, 2025
First Posted
January 10, 2025
Study Start
April 15, 2025
Primary Completion
May 31, 2025
Study Completion
May 31, 2025
Last Updated
March 18, 2025
Record last verified: 2025-03
Data Sharing
- IPD Sharing
- Will not share