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Incremental value of the CT coronary calcium score for the prediction of coronary artery disease
by
Pugliese, Francesca
, Genders, Tessa S. S.
, Meijboom, W. Bob
, Hunink, M. G. Myriam
, de Feyter, Pim J.
, Mollet, Nico R.
, Weustink, Annick C.
, van Mieghem, Carlos A. G.
in
Aged
/ Angina pectoris
/ Angina Pectoris - diagnosis
/ Angina Pectoris - diagnostic imaging
/ Area Under Curve
/ Body Mass Index
/ Calcium - analysis
/ Calcium - metabolism
/ Cardiac
/ Cardiovascular disease
/ Coronary Angiography - methods
/ Coronary Disease - diagnosis
/ Coronary Disease - diagnostic imaging
/ Coronary vessels
/ Diagnostic Radiology
/ Female
/ Humans
/ Imaging
/ Internal Medicine
/ Interventional Radiology
/ Male
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Neuroradiology
/ Radiology
/ Regression Analysis
/ Reproducibility of Results
/ Software
/ Time Factors
/ Tomography, X-Ray Computed - methods
/ Ultrasound
/ Variables
/ Vein & artery diseases
2010
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Incremental value of the CT coronary calcium score for the prediction of coronary artery disease
by
Pugliese, Francesca
, Genders, Tessa S. S.
, Meijboom, W. Bob
, Hunink, M. G. Myriam
, de Feyter, Pim J.
, Mollet, Nico R.
, Weustink, Annick C.
, van Mieghem, Carlos A. G.
in
Aged
/ Angina pectoris
/ Angina Pectoris - diagnosis
/ Angina Pectoris - diagnostic imaging
/ Area Under Curve
/ Body Mass Index
/ Calcium - analysis
/ Calcium - metabolism
/ Cardiac
/ Cardiovascular disease
/ Coronary Angiography - methods
/ Coronary Disease - diagnosis
/ Coronary Disease - diagnostic imaging
/ Coronary vessels
/ Diagnostic Radiology
/ Female
/ Humans
/ Imaging
/ Internal Medicine
/ Interventional Radiology
/ Male
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Neuroradiology
/ Radiology
/ Regression Analysis
/ Reproducibility of Results
/ Software
/ Time Factors
/ Tomography, X-Ray Computed - methods
/ Ultrasound
/ Variables
/ Vein & artery diseases
2010
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Incremental value of the CT coronary calcium score for the prediction of coronary artery disease
by
Pugliese, Francesca
, Genders, Tessa S. S.
, Meijboom, W. Bob
, Hunink, M. G. Myriam
, de Feyter, Pim J.
, Mollet, Nico R.
, Weustink, Annick C.
, van Mieghem, Carlos A. G.
in
Aged
/ Angina pectoris
/ Angina Pectoris - diagnosis
/ Angina Pectoris - diagnostic imaging
/ Area Under Curve
/ Body Mass Index
/ Calcium - analysis
/ Calcium - metabolism
/ Cardiac
/ Cardiovascular disease
/ Coronary Angiography - methods
/ Coronary Disease - diagnosis
/ Coronary Disease - diagnostic imaging
/ Coronary vessels
/ Diagnostic Radiology
/ Female
/ Humans
/ Imaging
/ Internal Medicine
/ Interventional Radiology
/ Male
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Middle Aged
/ Neuroradiology
/ Radiology
/ Regression Analysis
/ Reproducibility of Results
/ Software
/ Time Factors
/ Tomography, X-Ray Computed - methods
/ Ultrasound
/ Variables
/ Vein & artery diseases
2010
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Incremental value of the CT coronary calcium score for the prediction of coronary artery disease
Journal Article
Incremental value of the CT coronary calcium score for the prediction of coronary artery disease
2010
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Overview
Objectives:
To validate published prediction models for the presence of obstructive coronary artery disease (CAD) in patients with new onset stable typical or atypical angina pectoris and to assess the incremental value of the CT coronary calcium score (CTCS).
Methods:
We searched the literature for clinical prediction rules for the diagnosis of obstructive CAD, defined as ≥50% stenosis in at least one vessel on conventional coronary angiography. Significant variables were re-analysed in our dataset of 254 patients with logistic regression. CTCS was subsequently included in the models. The area under the receiver operating characteristic curve (AUC) was calculated to assess diagnostic performance.
Results:
Re-analysing the variables used by Diamond & Forrester yielded an AUC of 0.798, which increased to 0.890 by adding CTCS. For Pryor, Morise 1994, Morise 1997 and Shaw the AUC increased from 0.838 to 0.901, 0.831 to 0.899, 0.840 to 0.898 and 0.833 to 0.899. CTCS significantly improved model performance in each model.
Conclusions:
Validation demonstrated good diagnostic performance across all models. CTCS improves the prediction of the presence of obstructive CAD, independent of clinical predictors, and should be considered in its diagnostic work-up.
Publisher
Springer-Verlag,Springer Nature B.V
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