Non-invasive volumetric assessment of aortic atheroma: a core laboratory validation using computed tomography
Muhammad Hammadah1, Mohammed Qintar2, Steven E Nissen3,4
1Department of Internal Medicine, Cleveland Clinic Foundation, Cleveland, OH, USA. muh_hammadah@hotmail.com.
Insights
A new computed tomography angiography (CTA) method accurately measures aortic plaque volume. This non-invasive technique aids in predicting risks for various aortic procedures.
Area of Science:
- Cardiovascular Imaging
- Medical Imaging Analysis
Background:
- Aortic atherosclerosis correlates with adverse outcomes in aortic procedures.
- Current non-invasive methods lack standardized pan-aortic plaque volume assessment.
Purpose of the Study:
- To introduce and validate a novel computed tomography angiography (CTA) method for non-invasive, volumetric assessment of aortic plaque across the entire aorta.
Main Methods:
- Sixty patients undergoing CTA before trans-catheter aortic valve implantation were analyzed.
- Specialized software reconstructed aortic images using a centerline approach for cross-sectional analysis.
- Percent atheroma volume (PAV), total atheroma volume (TAV), and calcium scores were calculated from segmented aortic images.
Main Results:
- The method demonstrated good inter-observer agreement (Lin's concordance correlation coefficient of 0.79).
- Mean aortic PAV was 33.2 ± 2.51%, and mean TAV was 83,509 ± 17,078 mm³.
- The technique simulated a Core Laboratory scenario for plaque assessment.
Conclusions:
- This study validates a novel CTA-based methodology for volumetric aortic atheroma assessment.
- The proposed non-invasive imaging technique shows potential for clinical risk prediction in aortic diseases.
Abstract:
Aortic atherosclerosis has been linked with worse peri- and post-procedural outcomes following a range of aortic procedures. Yet, there are currently no standardized methods for non-invasive volumetric pan-aortic plaque assessment. We propose a novel means of more accurately assessing plaque volume across whole aortic segments using computed tomography angiography (CTA) imaging. Sixty patients who underwent CTA prior to trans-catheter aortic valve implantation were included in this analysis. Specialized software analysis (3mensio Vascular™, Pie Medical, Maastricht, Netherlands) was used to reconstruct images using a centerline approach, thus creating true cross-sectional aortic images, akin to those images produced with intravascular ultrasonography. Following aortic segmentation (from the aortic valve to the renal artery origin), atheroma areas were measured across multiple contiguous evenly spaced (10 mm) cross-sections. Percent atheroma volume (PAV), total atheroma volume (TAV) and calcium score were calculated. In our populations (age 79.9 ± 8.5 years, male 52 %, diabetes 27 %, CAD 84 %, PVD 20 %), mean ± SD number of cross sections measured for each patient was 35.1 ± 3.5 sections. Mean aortic PAV and TAV were 33.2 ± 2.51 % and 83,509 ± 17,078 mm(3), respectively. Median (IQR) calcium score was 1.5 (0.7-2.5). Mean (SD) inter-observer coefficient of variation and agreement for plaque area among 4 different analysts was 14.1 (5.4), and the mean (95 % CI) Lin's concordance correlation coefficient was 0.79 (0.62-0.89), effectively simulating a Core Laboratory scenario. We provide an initial validation of cross-sectional volumetric aortic atheroma assessment using CTA. This proposed methodology highlights the potential for utilizing non-invasive aortic plaque imaging for risk prediction across a range of clinical scenarios.
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