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Updated: May 9, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Predictors of inaccurate coronary arterial stenosis assessment by CT angiography
Raymond T Yan1, Julie M Miller, Carlos E Rochitte
1Division of Cardiology, Johns Hopkins Hospital, Baltimore, Maryland.
Insights
Computed tomography angiography (CTA) can misdiagnose obstructive coronary artery disease (CAD). Calcification, prior revascularization, segment tortuosity, and poor contrast enhancement are key predictors of CTA diagnostic inaccuracy.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Medical Diagnostics
Background:
- Computed tomography angiography (CTA) is increasingly used for coronary artery disease (CAD) assessment.
- Limited data exists on factors contributing to CTA diagnostic inaccuracies.
Purpose of the Study:
- To identify clinical and imaging predictors of diagnostic inaccuracy in CTA for obstructive CAD.
- To compare CTA findings with quantitative coronary angiography (QCA) as the reference standard.
Main Methods:
- Analysis of 291 patients from the CorE-64 multicenter study.
- Blind abstraction of CTA segment characteristics and clinical data.
- Multivariable logistic regression and generalized estimating equations to determine independent predictors of misdiagnosis.
Main Results:
- Agatston calcium score and within-segment calcification predicted false-positive CTA results.
- Absence of calcification predicted false-negative diagnoses.
- Segment tortuosity, smaller luminal caliber, and juxta-arterial vein conspicuity were associated with segment-level misdiagnoses. Better contrast enhancement reduced false-negative risk.
Conclusions:
- Clinical and imaging features on CTA can predict diagnostic inaccuracy for obstructive CAD.
- Awareness of these features can enhance CTA interpretation accuracy.
Objectives:
This study sought to investigate the clinical and imaging characteristics associated with diagnostic inaccuracy of computed tomography angiography (CTA) for detecting obstructive coronary artery disease (CAD) defined by quantitative coronary angiography (QCA).
Background:
Although diagnostic performance metrics of CTA have been reported, there are sparse data on predictors of diagnostic inaccuracy by CTA.
Methods:
The clinical characteristics of 291 patients (mean age: 59 ± 10 years; female: 25.8%) enrolled in the multicenter CorE-64 (Coronary Artery Evaluation Using 64-Row Multi-detector Computed Tomography Angiography) study were examined. Pre-defined CTA segment-level characteristics of all true-positive (N = 237), false-positive (N = 115), false-negative (FN) (N = 159), and a random subset of true-negative segments (N = 511) for ≥50% stenosis with QCA as the reference standard were blindly abstracted in a central core laboratory. Factors independently associated with corresponding levels of CTA diagnostic inaccuracies on a patient level and coronary artery segment level were determined using multivariable logistic regression models and generalized estimating equations, respectively.
Results:
An Agatston calcium score of ≥1 per patient (odds ratio [OR]: 5.2; 95% confidence interval [CI]: 1.1 to 24.6) and the presence of within-segment calcification (OR: 10.2; 95% CI: 5.2 to 19.8) predicted false-positive diagnoses. Conversely, absence of within-segment calcification was an independent predictor of an FN diagnosis (OR: 2.0; 95% CI: 1.2 to 3.5). Prior percutaneous revascularization was independently associated with patient-level misdiagnosis of obstructive CAD (OR: 4.2; 95% CI: 1.6 to 11.2). Specific segment characteristics on CTA, notably segment tortuosity (OR: 3.5; 95% CI: 2.4 to 5.1), smaller luminal caliber (OR: 0.48; 95% CI: 0.36 to 0.63 per 1-mm increment), and juxta-arterial vein conspicuity (OR: 2.1; 95% CI: 1.4 to 3.2), were independently associated with segment-level misdiagnoses. Attaining greater intraluminal contrast enhancement independently lowered the risk of an FN diagnosis (OR: 0.96; 95% CI: 0.94 to 0.99 per 10-Hounsfield unit increment).
Conclusions:
We identified clinical and readily discernible imaging characteristics on CTA predicting inaccurate CTA diagnosis of obstructive CAD defined by QCA. Knowledge and appropriate considerations of these features may improve the diagnostic accuracy in clinical CTA interpretation. (Diagnostic Accuracy of Multi-Detector Spiral Computed Tomography Angiography Using 64 Detectors [CORE-64]; NCT00738218).
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An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
