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Carotid Atherosclerotic Plaque Load and Neck Circumference

Metabolic Syndrome Clinical Trial

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

Clinical Trial 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.

Clinical Trial 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. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05040958
Study type Observational
Source Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey
Contact Elif Yildirim Ayaz, M.D.
Phone +905325148300
Email drelifyildirim@hotmail.com
Status Recruiting
Phase
Start date September 8, 2021
Completion date March 28, 2022
View Details
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