Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
134 participants
INTERVENTIONAL
2025-04-15
2025-05-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NON_RANDOMIZED
CROSSOVER
DIAGNOSTIC
TRIPLE
Study Groups
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PS-3D-DSA
undergo a PS-3D-DSA scan
PS-3D-DSA
undergo a PS-3D-DSA scan
classic 3D-DSA
undergo a classic 3D-DSA scan
classic 3D-DSA
undergo a classic 3D-DSA scan
Interventions
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PS-3D-DSA
undergo a PS-3D-DSA scan
classic 3D-DSA
undergo a classic 3D-DSA scan
Eligibility Criteria
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Inclusion Criteria
2. Requires 3D-DSA-guided interventional diagnosis or treatment (e.g., cerebral angiography, cerebral artery chemoembolization) and meets operational indications.
3. Can understand the study's purpose, procedures, potential risks, and benefits, and voluntarily signs a written informed consent form.
Exclusion Criteria
2. History of high-dose radiation exams or treatments.
3. Known allergies or severe adverse reactions to iodine contrast agents or other relevant medications.
4. Pregnant or breastfeeding women.
5. Severe comorbidities or chronic diseases (e.g., severe diabetes, renal insufficiency).
6. Severe mental illness or cognitive impairment preventing understanding of the study procedures or providing informed consent.
18 Years
ALL
Yes
Sponsors
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Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
OTHER
Responsible Party
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Yaowei Bai
MD
Locations
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Wuhan Union Hospital
Wuhan, Hubei, China
Countries
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Central Contacts
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References
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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.
Irfan 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.
Other Identifiers
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Patient-Specific Generative AI
Identifier Type: -
Identifier Source: org_study_id
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