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Machine leArning Based CT angiograpHy derIved FFR: a Multi-ceNtEr, Registry

NCT02805621 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 352

Last updated 2017-01-04

No results posted yet for this study

Summary

Demonstrate in a large multicenter population the diagnostic performance of a pre-commercial on-site, local, CT angiography derived FFR algorithm in comparison to invasive FFR.

Conditions

Sponsors & Collaborators

  • Asan Medical Center

    collaborator OTHER

  • University Hospital, Linkoeping

    collaborator OTHER

  • National Institute of Cardiology, Warsaw, Poland

    collaborator OTHER

  • Medical University of South Carolina

    collaborator OTHER

  • Siemens Healthcare Diagnostics Inc

    collaborator INDUSTRY

  • Erasmus Medical Center

    lead OTHER

Principal Investigators

  • Koen Nieman, MD PHD · Erasmus Medical Center

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-04-30
Primary Completion
2017-01-31
Completion
2017-01-31

Countries

  • Netherlands

Study Locations

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Diseases
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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 NCT02805621 on ClinicalTrials.gov