Condition: Cerebrovascular Disease · Sponsor: Beijing Tiantan Hospital
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.
This description comes directly from the study's public registry record.
Yu Chen, MD · 86-18801239327 · chenyu_tiantan@126.com
Xiaolin Chen, MD · 86-13810624845 · cxl_bjtth@163.com
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| Beijing Tiantan Hospital | Beijing, Beijing Municipality, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06902415