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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05040958
Other study ID # CAPNET
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date September 8, 2021
Est. completion date March 28, 2022

Study information

Verified date September 2021
Source Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey
Contact Elif Yildirim Ayaz, M.D.
Phone +905325148300
Email drelifyildirim@hotmail.com
Is FDA regulated No
Health authority
Study type Observational

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.


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.


Recruitment information / eligibility

Status Recruiting
Enrollment 300
Est. completion date March 28, 2022
Est. primary completion date March 28, 2022
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 90 Years
Eligibility Inclusion Criteria: - 18 years or older - Having cranial CTA withdrawn - Having blood lipids, HbA1c, blood glucose, AST, ALT measured in 3 months before and 3 months after cranial CTA Exclusion Criteria: - Thyroid disease - Having had neck surgery - Use of corticosteroids for more than 6 months - Presence of lymph nodes in the anterior neck - Hypertrophy of neck muscles

Study Design


Locations

Country Name City State
Turkey Istanbul MEdeniyet University Göztepe Prof. Dr. Süleyman Yalçin City Hospital Kadiköy Istanbul

Sponsors (1)

Lead Sponsor Collaborator
Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey

Country where clinical trial is conducted

Turkey, 

Outcome

Type Measure Description Time frame Safety issue
Primary Correlation of the machine learning model and manual interpretation Evaluation of the correlation of the presence of plaque in the carotid segments with manual interpretation in the model obtained by machine learning method 1 day
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