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Carotid Atherosclerotic Plaque Load and Neck Circumference

NCT05040958 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2021-09-17

No results posted yet for this study

Summary

The aim of this study is to establish a deep learning model to automatically detect the presence and scoring of carotid plaques in neck CTA images, and to determine whether this model is compatible with manual interpretations.

Conditions

  • Atherosclerosis of Artery
  • Metabolic Syndrome
  • Machine Learning

Sponsors & Collaborators

  • Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey

    lead OTHER

Principal Investigators

  • Elif Yıldırım Ayaz, M.D. · Sultan Abdülhamid Han Training and Research Hospital

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-09-08
Primary Completion
2022-03-28
Completion
2022-03-28

Countries

  • Turkey (Türkiye)

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 NCT05040958 on ClinicalTrials.gov