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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Non-invasive prediction of hemodynamically significant coronary artery stenoses by contrast density difference in
Michaela M Hell1, Damini Dey2, Mohamed Marwan1
1Department of Cardiology, University of Erlangen, Germany.
Insights
Coronary computed tomography angiography (CTA) can identify obstructive coronary artery disease. A quantitative contrast density difference in CTA may help non-invasively determine if stenoses are hemodynamically significant, as confirmed by invasive fractional flow reserve (FFR).
Area of Science:
- Cardiovascular Imaging
- Radiology
- Interventional Cardiology
Background:
- Coronary computed tomography angiography (CTA) is effective in detecting obstructive coronary artery disease.
- However, CTA's ability to predict the hemodynamic significance of detected stenoses is limited.
- Invasive fractional flow reserve (FFR) is the gold standard for assessing hemodynamic significance.
Purpose of the Study:
- To assess differences in plaque characteristics and contrast density difference between hemodynamically significant and non-significant coronary stenoses.
- To determine if quantitative contrast density difference can serve as a non-invasive predictor of hemodynamic significance.
Main Methods:
- Seventy-two coronary artery lesions in 59 patients with moderate to high-grade stenoses on CTA underwent invasive FFR assessment.
- Lesion characteristics, including plaque composition and contrast density difference, were evaluated using semi-automatic software.
- Contrast density difference was defined as the percentage decline in luminal CT attenuation over the lesion.
Main Results:
- Twenty-nine percent of lesions were hemodynamically significant (FFR ≤0.80).
- Hemodynamically significant lesions exhibited a greater percentage of non-calcified plaque and a significantly increased contrast density difference compared to non-significant lesions.
- A contrast density difference threshold of ≥24% predicted significant lesions with 75% specificity and 33% sensitivity.
Conclusions:
- Quantitative contrast density difference in coronary CTA datasets shows potential as a non-invasive tool.
- This metric may aid in identifying hemodynamically significant coronary stenoses, potentially reducing the need for invasive FFR.
Objectives:
Coronary computed tomography angiography (CTA) allows the detection of obstructive coronary artery disease. However, its ability to predict the hemodynamic significance of stenoses is limited. We assessed differences in plaque characteristics and contrast density difference between hemodynamically significant and non-significant stenoses, as defined by invasive fractional flow reserve (FFR).
Methods:
Lesion characteristics of 59 consecutive patients (72 lesions) in whom invasive FFR was performed in at least one coronary artery with moderate to high-grade stenoses in coronary CTA were evaluated by two experienced readers. Coronary CTA data sets were acquired on a second-generation dual-source CT scanner using retrospectively ECG-gated spiral acquisition or prospectively ECG-triggered axial acquisition mode. Plaque volume and composition (non-calcified, calcified), remodeling index as well as contrast density difference (defined as the percentage decline in luminal CT attenuation/cross-sectional area over the lesion) were assessed using a semi-automatic software tool (Autoplaq). Additionally, the transluminal attenuation gradient (defined as the linear regression coefficient between intraluminal CT attenuation and length from the ostium) was determined. Differences in lesion characteristics between hemodynamically significant (invasively measured FFR ≤0.80) and non-significant lesions (FFR >0.80) were determined.
Results:
Mean patient age was 64±11 years with 44 males (75%). 21 out of 72 coronary artery lesions (29%) were hemodynamically significant according to invasive FFR. Mean invasive FFR was 0.66±0.12 vs. 0.91±0.05 for hemodynamically significant versus non-significant lesions. Hemodynamically significant lesions showed a significantly greater percentage of non-calcified plaque compared to non-hemodynamically relevant lesions (51.3±15.3% vs. 43.6±16.5%, p=0.021). Contrast density difference was significantly increased in hemodynamically relevant lesions (26.0±20.2% vs. 16.6±10.9% for non-significant lesions; p=0.013). At a threshold of ≥24%, the contrast density difference predicted hemodynamically significant lesions with a specificity of 75%, sensitivity of 33%, PPV of 35% and NPV of 73%. The transluminal attenuation gradient showed no significant difference between hemodynamically significant and non-significant lesions (-1.4±1.4HU/mm vs. -1.1±1.3HU/mm, p=n.s.).
Conclusions:
Quantitative contrast density difference across coronary lesions in coronary CTA data sets may be applied as a non-invasive tool to identify hemodynamically significant stenoses.
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