2022
DOI: 10.1007/s10140-022-02082-w
|View full text |Cite
|
Sign up to set email alerts
|

Coronary artery calcification—does it predict the CAD-RADS category?

Abstract: Purpose Coronary calcium scores (CCSs) in cardiac-gated computed tomography (CCT) are diagnostic for coronary artery disease (CAD). This study aims to investigate if CCSs can foretell CAD-reporting and data system (CAD-RADS) without performing computed tomography angiography (CTA). Methods Profiles of 544 patients were studied who had gone through CCT and CTA; the number of calcified regions of interest (ROIs), the Agatston, area, volume, and mass CCSs were calculated. … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 35 publications
(29 reference statements)
0
1
0
Order By: Relevance
“…In conclusion, the study [ 31 ] provides a simple rule of thumb (men < 50 years and women < 60 years with any CACS, men < 60 years and women < 70 years with CAC S > 100) for identifying CACS > 75th percentile that might be readily adopted in clinical practice. CACS could predict coronary artery disease reporting and data system (CAD-RADS) with an accuracy of 80% [ 32 ]. Several personalized risk prediction tools, including CACS, polygenic risk scores, and metabolic risk scores may be able to improve risk assessment [ 33 ].…”
Section: Calcium Score and Atherosclerosismentioning
confidence: 99%
“…In conclusion, the study [ 31 ] provides a simple rule of thumb (men < 50 years and women < 60 years with any CACS, men < 60 years and women < 70 years with CAC S > 100) for identifying CACS > 75th percentile that might be readily adopted in clinical practice. CACS could predict coronary artery disease reporting and data system (CAD-RADS) with an accuracy of 80% [ 32 ]. Several personalized risk prediction tools, including CACS, polygenic risk scores, and metabolic risk scores may be able to improve risk assessment [ 33 ].…”
Section: Calcium Score and Atherosclerosismentioning
confidence: 99%