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Prediction Model for Chronic Intracranial Arterial Occlusion With Radiomic Features

NCT06066593 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2023-10-04

No results posted yet for this study

Summary

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.

Conditions

  • Stroke, Ischemic
  • Stroke Hemorrhagic

Sponsors & Collaborators

  • Beijing Hospital

    lead OTHER_GOV

  • Beijing Tiantan Hospital

    collaborator OTHER

  • Chinese Academy of Sciences

    collaborator OTHER_GOV

Principal Investigators

  • Dong Zhang, Doctor · Beijing Hospital

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-08-01
Primary Completion
2024-08-01
Completion
2024-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06066593 on ClinicalTrials.gov