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Prediction of the attenuation of the ascending aorta using bolus-tracking parameters and heart rate in coronary computed tomography angiography
- Source :
- European journal of radiology. 81(11)
- Publication Year :
- 2011
-
Abstract
- Objective The purpose of this study was to evaluate the correlation between bolus-tracking parameters and heart rate (HR) with attenuation of the ascending aorta and create a linear regression model for predicting coronary attenuation in coronary computed tomography angiography (CCTA). Methods A total of 50 patients (31 men, 19 women; mean age, 67.2 ± 10.8 y) underwent CCTA using a 320-detector CT scanner. A bolus-tracking scan was performed to optimize the scan timing. The average HR under normal breathing for 10 s was recorded just before the bolus-tracking scan started. Attenuation values of the pulmonary artery at 7 s (PA 7 ) and 10 s (PA 10 ) after the beginning of the injection were recorded during the bolus-tracking scan and the ascending aortic attenuation (CE AAo ) was measured during the diagnostic scan. Results A positive correlation was observed between PA 7 and CE AAo ( r = 0.41, P = 0.003) and PA 10 and CE AAo ( r = 0.66, P AAo ( r = −0.46, P = 0.15). A multivariable linear regression model for predicting CE AAo was evaluated, and the residual error between the predicted and the measured CE AAo was within approximately ±100 HU. Conclusions Coronary attenuation could be predicted using HR and pulmonary artery attenuation during the bolus-tracking method.
- Subjects :
- Adult
Male
medicine.medical_specialty
Cardiac-Gated Imaging Techniques
Coronary Artery Disease
Coronary Angiography
Aortography
Sensitivity and Specificity
Heart Rate
Internal medicine
medicine.artery
Ascending aorta
Heart rate
Linear regression
medicine
Humans
Radiology, Nuclear Medicine and imaging
Computer Simulation
Bolus tracking
Aorta
Aged
Aged, 80 and over
business.industry
Attenuation
Models, Cardiovascular
Reproducibility of Results
General Medicine
Middle Aged
Pulmonary artery
Cardiology
Radiographic Image Interpretation, Computer-Assisted
Female
Tomography
business
Tomography, X-Ray Computed
Subjects
Details
- ISSN :
- 18727727
- Volume :
- 81
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- European journal of radiology
- Accession number :
- edsair.doi.dedup.....a3cfb834183c53500ce9885475dc8680