NCT05040958

Carotid Atherosclerotic Plaque Load and Neck Circumference

Determination of Carotid Atherosclerotic Plaque Load and Neck Circumference in Cranial CT Angiography With Machine Learning Method and Their Relationship With Each Other

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 300 (estimated)
• Sponsor: Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey · Academic / Other
• Sex: All
• Age: 18 Years – 90 Years
• Healthy volunteers: Accepted

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.

Detailed description

Modeling CTA images for carotid artery segments with deep learning method and automatic carotid plaque presence and scoring will be useful and beneficial in clinical practice. 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

Timeline

• Start date: 2021-09-08
• Primary completion: 2022-03-28
• Completion: 2022-03-28
• First posted: 2021-09-10
• Last updated: 2021-09-17

Locations

1 site across 1 country: Turkey (Türkiye)