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NCT06066593
Prediction Model for Chronic Intracranial Arterial Occlusion With Radiomic Features
trial in Stroke, Ischemic in 1,000 participants. Status unknown.
1 August 2024
Quick facts
| Lead sponsor | Beijing Hospital |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 1,000 |
| Start date | 1 August 2023 |
| Primary completion | 1 August 2024 |
| Estimated completion | 31 December 2024 |
| Sites | 2 locations across China |
Conditions studied
- Stroke, Ischemic — all drugs for Stroke, Ischemic →
- Stroke Hemorrhagic — all drugs for Stroke Hemorrhagic →
Sponsor
Beijing Hospital
Who can join
Adults 18 to 80, any sex, with Stroke, Ischemic or Stroke Hemorrhagic. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Chronic intracranial arterial occlusion is associated with a "bidirectional stroke risk," with a significantly increased risk of both ischemic stroke and cerebral hemorrhage. Currently, Western CTAP products, in combination with clinical expertise, offer some predictive value for assessing the risk of ischemic events by evaluating compensatory pathways and overall perfusion in chronic intracranial arterial occlusion. However, there is limited support for assessing the risk of hemorrhagic events. Our proposed project aims to address a significant scientific challenge: the precise assessment of long-term stroke risk in asymptomatic patients with chronic intracranial arterial occlusion using a machine learning-based approach. The rapidly advancing field of machine learning provides a rich set of solutions for tackling this problem. In this project, we intend to develop a deep learning-based segmentation model for key brain regions using multimodal CT scans. Subsequently, we will automate the extraction of radiomic features and CT perfusion parameters, followed by the application of machine learning techniques to construct a stroke risk prediction model tailored for patients with chronic intracranial arterial occlusion.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06066593
- Europe PMC full search
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06066593 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Beijing Hospital
- Last refreshed: 4 October 2023
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06066593.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing