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Using a Digital Imaging Method to Study Blood Flow in Brain Blood Vessel Diseases

Studies blood flow measured with a digital X-ray scan in people with cerebrovascular disease.

Plain-language title generated from the registry record
Registry title: Application of QDSA Platform in Cerebrovascular Diseases

Key facts

Where
Beijing, ChinaSee the site

Could this be for you?

Answer for yourself. This is not a decision: only the study team can say whether you can take part.

  • Are you between 1 and 80 years old?

Source: NCT06902415, who can take part

Where in China

  • Beijing Tiantan HospitalBeijing, ChinaTaking people

Questions to ask the study team

  1. How often do I need to come in, and for how long each time?
  2. Are travel costs paid?
  3. Can I keep my own doctor?
  4. What happens if I want to stop?
Print a page for my doctor

Trial details

Who runs it
Beijing Tiantan Hospital
Trial code
NCT06902415
Record updated
30 March 2025
Original description
Cerebrovascular diseases pose a major global public health challenge, characterized by exceptionally high mortality and disability rates, with their pathogenesis closely linked to hemodynamic abnormalities. The quantitative digital subtraction angiography (QDSA) analysis platform, leveraging its advantages of vessel modeling-free operation, high computational efficiency, and DSA-equivalent sensitivity, has emerged as a novel hemodynamic assessment method with significant clinical potential. This study aims to establish a cerebrovascular disease cohort incorporating QDSA parameters to systematically validate the clinical value of this technology in preoperative evaluation and surgical planning, thereby providing evidence-based insights for optimizing diagnostic and therapeutic strategies.Read full original descriptionShow less

Research on the Application of Quantitative Digital Subtraction Angiography Hemodynamic Analysis Platform in Cerebrovascular Diseases

Cerebrovascular diseases pose a major global public health challenge, characterized by exceptionally high mortality and disability rates, with their pathogenesis closely linked to hemodynamic abnormalities. The quantitative digital subtraction angiography (QDSA) analysis platform, leveraging its advantages of vessel modeling-free operation, high computational efficiency, and DSA-equivalent sensitivity, has emerged as a novel hemodynamic assessment method with significant clinical potential. This study aims to establish a cerebrovascular disease cohort incorporating QDSA parameters to systematically validate the clinical value of this technology in preoperative evaluation and surgical planning, thereby providing evidence-based insights for optimizing diagnostic and therapeutic strategies.

Inclusion: Cerebrovascular diseases diagnosed and assessed by DSA for related risks and treatment options; The DSA acquisition protocol complies with the standard procedure; DSA images must include complete anteroposterior and lateral views; Raw data must be available in DICOM format; Image quality and pixel resolution must support data analysis; Patients must undergo regular follow-ups.

Exclusion: Cerebrovascular diseases not diagnosed or risk-assessed using DSA; Severe organ diseases with an expected survival period of less than 2 years; Other conditions deemed by the investigator as unsuitable for participation in this trial; Patients with DSA image quality insufficient for image analysis and processing; Inability to cooperate with treatment and follow-up; Participation in other clinical trials within the past 6 months.

ClinicalTrials.gov NCT06902415