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Deep Enhanced Imaging in Stroke and Vascular Neurology

NCT05614193 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2023-02-08

No results posted yet for this study

Summary

To investigate the performance of enhanced computed tomography (CT) or magnetic resonance (MR) imaging by deep learning relative to conventional CT or MR imaging in brain stroke and vascular neurology. We expect that the deep enhanced imaging method can shorten the time stay in the imaging session of stroke patients, optimize the overall imaging quality and improve the patients' care in imaging session.

Conditions

  • Radiology
  • Cerebral Stroke
  • Vascular Diseases

Interventions

DIAGNOSTIC_TEST

Deep learning imaging enhancement

Conventional imaging or down-sampling imaging from CT or MR are enhanced by approved deep learning method.

Sponsors & Collaborators

  • Chinese PLA General Hospital

    lead OTHER

Principal Investigators

  • Lou Xin · Chinese PLA General Hospital

Eligibility

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

Timeline & Regulatory

Start
2022-12-01
Primary Completion
2027-12-31
Completion
2027-12-31

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 NCT05614193 on ClinicalTrials.gov