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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Vessel density ratio: A novel approach to identify "culprit" coronary lesion by spiral computed tomography
Bernard Sze-Piaw Chin1, Tiong-Kiam Ong, Tobias M Seyfarth
1Department of Cardiology, Sarawak General Hospital, Kuching, Malaysia. chin.sze.piaw@health.gov.my
Insights
A new Vessel Density Ratio (VDR) measured by multidetector computed tomography-assisted coronary angiography (MDCTA) effectively identifies culprit lesions in acute coronary syndrome (ACS). This ratio offers a standardized method for diagnosing critical blockages in coronary arteries.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Interventional Cardiology
Background:
- Acute coronary syndrome (ACS) diagnosis relies on identifying culprit lesions.
- Assessing lesion characteristics with multidetector computed tomography-assisted coronary angiography (MDCTA) can be challenging due to plaque, thrombus, and calcification.
- A standardized, reproducible method is needed to quantify lesion severity.
Purpose of the Study:
- To hypothesize that culprit lesions in ACS exhibit low vessel lumen and plaque density on MDCTA.
- To introduce and test the feasibility of a Vessel Density Ratio (VDR) for identifying culprit lesions.
- To establish VDR as a convenient and standardized approach in ACS diagnosis.
Main Methods:
- Sixty-four patients with varying degrees of coronary artery disease underwent MDCTA within a week of conventional angiography.
- A Vessel Density Ratio (VDR) was calculated by comparing contrast enhancement within a region of interest (including vessel wall, lumen, plaque, and thrombus) to the aortic root density.
- Regions of interest were mapped from maximum intensity projections of diseased segments.
Main Results:
- A total of 174 diseased segments were evaluated.
- Patients with ACS (STEMI, unstable angina/NSTEMI) showed significantly lower mean VDR compared to patients with exertional angina (0.58 vs. 0.66 vs. 0.81; P < 0.001).
- Culprit lesions in ACS patients had the lowest mean VDR compared to non-culprit lesions and lesions in patients without ACS (0.51 vs. 0.68 vs. 0.81; P < 0.001).
Conclusions:
- The Vessel Density Ratio (VDR) is a novel, convenient, and standardized method for identifying culprit lesions in ACS using MDCTA.
- VDR provides a reproducible metric for assessing lesion severity in coronary angiography.
- This technique aids in differentiating critical lesions responsible for ACS events.
Background And Objective:
We hypothesized that a "culprit" lesion in acute coronary syndrome (ACS) should have low overall vessel lumen and plaque density on multidetector computed tomography-assisted coronary angiography (MDCTA) because of lower calcification and the presence of occlusive thrombus. However, thrombi and calcification both can themselves blur the demarcation between vessel wall and lumen. If we calculated a "vessel density ratio" (VDR) obtained by measuring the mean density of contrast-enhancement within a region of interest (ROI), which includes the vessel wall, lumen, plaque, and thrombus, and comparing that with the aortic root mean density acting as a reference point, this ratio may be more convenient, standardized, and reproducible to test the feasibility of VDR in identifying "culprit" lesions in ACS.
Methods:
Sixty-four patients-21 exertional angina; 17 unstable angina/non-ST elevation myocardial infarction (NSTEMI); 26 ST elevation myocardial infarction (STEMI)-provided 188 diseased segments on conventional angiography. All underwent MDCTA within a week of angiography. ROI was mapped out from maximum intensity projections of diseased segments in planar view.
Results:
One hundred seventy-four segments were evaluated. Patients who presented with ACS (STEMI and unstable angina/non-ST elevation myocardial infarction) had lower mean VDR compared to patients with exertional angina (0.58 vs. 0.66 vs. 0.81; P < 0.001). Culprit lesions in ACS patients also had the lowest mean VDR when compared to nonculprit lesions and lesions in patients without ACS (0.51 vs. 0.68 vs. 0.81; P < 0.001).
Conclusions:
VDR is a new, convenient, and standardized approach in identifying "culprit" lesions by MDCTA.
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