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First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography
PURPOSE: To assess the effect of ultra-high-resolution coronary CT angiography (CCTA) with photon-counting detector (PCD) CT on quantitative coronary plaque characterization. MATERIALS AND METHODS: In this IRB-approved study, 22 plaques of 20 patients (7 women; mean age 77 ± 8 years, mean body mass...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485480/ https://www.ncbi.nlm.nih.gov/pubmed/36148053 http://dx.doi.org/10.3389/fcvm.2022.981012 |
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author | Mergen, Victor Eberhard, Matthias Manka, Robert Euler, André Alkadhi, Hatem |
author_facet | Mergen, Victor Eberhard, Matthias Manka, Robert Euler, André Alkadhi, Hatem |
author_sort | Mergen, Victor |
collection | PubMed |
description | PURPOSE: To assess the effect of ultra-high-resolution coronary CT angiography (CCTA) with photon-counting detector (PCD) CT on quantitative coronary plaque characterization. MATERIALS AND METHODS: In this IRB-approved study, 22 plaques of 20 patients (7 women; mean age 77 ± 8 years, mean body mass index 26.1 ± 3.6 kg/m(2)) undergoing electrocardiography (ECG)-gated ultra-high-resolution CCTA with PCD-CT were included. Images were reconstructed with a smooth (Bv40) and a sharp (Bv64) vascular kernel, with quantum iterative reconstruction (strength level 4), and using a slice thickness of 0.6, 0.4, and 0.2 mm, respectively (field-of-view 200 mm × 200 mm, matrix size 512 × 512 pixels). Reconstructions with the Bv40 kernel and slice thickness of 0.6 mm served as the reference standard. After identification of a plaque in coronary arteries with a vessel diameter ≥2 mm, plaque composition was determined using a dedicated, semi-automated plaque quantification software. Total plaque, calcified, fibrotic, and lipid-rich plaque components were quantified in all datasets. RESULTS: Median plaque volume was highest (23.5 mm(3), interquartiles 17.9–34.3 mm(3)) for reconstructions with the reference standard and lowest for ultra-high-resolution reconstructions with a slice thickness of 0.2 mm and the Bv64 kernel (18.1 mm(3), interquartiles 14.1–25.8 mm(3), p < 0.001). Reconstructions with the reference standard showed largest calcified (85.1%, interquartiles 76.4–91.1%) and smallest lipid-rich plaque components (0.5%, interquartiles 0.0–1.5%). Smallest calcified plaque components (75.2%, interquartiles 69.9–80.8%) and largest lipid-rich components (6.7%, interquartiles 5.1–8.4%) were found for ultra-high-resolution reconstructions with a slice thickness of 0.2 mm and the Bv64 kernel. At an identical slice thickness, volume of calcified components was always lower, and volume of lipid-rich components was always higher for reconstructions with the Bv64 kernel compared with reconstructions with the Bv40 kernel (all, p < 0.001). CONCLUSION: This patient study indicates significant differences of ultra-high-resolution scanning with PCD-CT on quantitative coronary plaque characterization. Reduced blooming artifacts may allow improved visualization of fibrotic and lipid-rich plaque components with the ultra-high-resolution mode of PCD-CT. |
format | Online Article Text |
id | pubmed-9485480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94854802022-09-21 First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography Mergen, Victor Eberhard, Matthias Manka, Robert Euler, André Alkadhi, Hatem Front Cardiovasc Med Cardiovascular Medicine PURPOSE: To assess the effect of ultra-high-resolution coronary CT angiography (CCTA) with photon-counting detector (PCD) CT on quantitative coronary plaque characterization. MATERIALS AND METHODS: In this IRB-approved study, 22 plaques of 20 patients (7 women; mean age 77 ± 8 years, mean body mass index 26.1 ± 3.6 kg/m(2)) undergoing electrocardiography (ECG)-gated ultra-high-resolution CCTA with PCD-CT were included. Images were reconstructed with a smooth (Bv40) and a sharp (Bv64) vascular kernel, with quantum iterative reconstruction (strength level 4), and using a slice thickness of 0.6, 0.4, and 0.2 mm, respectively (field-of-view 200 mm × 200 mm, matrix size 512 × 512 pixels). Reconstructions with the Bv40 kernel and slice thickness of 0.6 mm served as the reference standard. After identification of a plaque in coronary arteries with a vessel diameter ≥2 mm, plaque composition was determined using a dedicated, semi-automated plaque quantification software. Total plaque, calcified, fibrotic, and lipid-rich plaque components were quantified in all datasets. RESULTS: Median plaque volume was highest (23.5 mm(3), interquartiles 17.9–34.3 mm(3)) for reconstructions with the reference standard and lowest for ultra-high-resolution reconstructions with a slice thickness of 0.2 mm and the Bv64 kernel (18.1 mm(3), interquartiles 14.1–25.8 mm(3), p < 0.001). Reconstructions with the reference standard showed largest calcified (85.1%, interquartiles 76.4–91.1%) and smallest lipid-rich plaque components (0.5%, interquartiles 0.0–1.5%). Smallest calcified plaque components (75.2%, interquartiles 69.9–80.8%) and largest lipid-rich components (6.7%, interquartiles 5.1–8.4%) were found for ultra-high-resolution reconstructions with a slice thickness of 0.2 mm and the Bv64 kernel. At an identical slice thickness, volume of calcified components was always lower, and volume of lipid-rich components was always higher for reconstructions with the Bv64 kernel compared with reconstructions with the Bv40 kernel (all, p < 0.001). CONCLUSION: This patient study indicates significant differences of ultra-high-resolution scanning with PCD-CT on quantitative coronary plaque characterization. Reduced blooming artifacts may allow improved visualization of fibrotic and lipid-rich plaque components with the ultra-high-resolution mode of PCD-CT. Frontiers Media S.A. 2022-09-06 /pmc/articles/PMC9485480/ /pubmed/36148053 http://dx.doi.org/10.3389/fcvm.2022.981012 Text en Copyright © 2022 Mergen, Eberhard, Manka, Euler and Alkadhi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Mergen, Victor Eberhard, Matthias Manka, Robert Euler, André Alkadhi, Hatem First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography |
title | First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography |
title_full | First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography |
title_fullStr | First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography |
title_full_unstemmed | First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography |
title_short | First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography |
title_sort | first in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting ct angiography |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485480/ https://www.ncbi.nlm.nih.gov/pubmed/36148053 http://dx.doi.org/10.3389/fcvm.2022.981012 |
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