Literature DB >> 35318969

Coronary Computed Tomography Angiography-Based Calcium Scoring: In Vitro and In Vivo Validation of a Novel Virtual Noniodine Reconstruction Algorithm on a Clinical, First-Generation Dual-Source Photon Counting-Detector System.

Tilman Emrich, Gilberto Aquino1, U Joseph Schoepf1, Franziska M Braun2, Franka Risch2, Stefanie J Bette2, Piotr Woznicki2, Josua A Decker2, Jim O'Doherty3, Verena Brandt1, Thomas Allmendinger4, Tristan Nowak4, Bernhard Schmidt4, Thomas Flohr4, Thomas J Kroencke2, Christian Scheurig-Muenkler2, Akos Varga-Szemes1, Florian Schwarz2.   

Abstract

PURPOSE: The aim of this study was to evaluate coronary computed tomography angiography (CCTA)-based in vitro and in vivo coronary artery calcium scoring (CACS) using a novel virtual noniodine reconstruction (PureCalcium) on a clinical first-generation photon-counting detector-computed tomography system compared with virtual noncontrast (VNC) reconstructions and true noncontrast (TNC) acquisitions.
MATERIALS AND METHODS: Although CACS and CCTA are well-established techniques for the assessment of coronary artery disease, they are complementary acquisitions, translating into increased scan time and patient radiation dose. Hence, accurate CACS derived from a single CCTA acquisition would be highly desirable. In this study, CACS based on PureCalcium, VNC, and TNC, reconstructions was evaluated in a CACS phantom and in 67 patients (70 [59/80] years, 58.2% male) undergoing CCTA on a first-generation photon counting detector-computed tomography system. Coronary artery calcium scores were quantified for the 3 reconstructions and compared using Wilcoxon test. Agreement was evaluated by Pearson and Spearman correlation and Bland-Altman analysis. Classification of coronary artery calcium score categories (0, 1-10, 11-100, 101-400, and >400) was compared using Cohen κ .
RESULTS: Phantom studies demonstrated strong agreement between CACS PureCalcium and CACS TNC (60.7 ± 90.6 vs 67.3 ± 88.3, P = 0.01, r = 0.98, intraclass correlation [ICC] = 0.98; mean bias, 6.6; limits of agreement [LoA], -39.8/26.6), whereas CACS VNC showed a significant underestimation (42.4 ± 75.3 vs 67.3 ± 88.3, P < 0.001, r = 0.94, ICC = 0.89; mean bias, 24.9; LoA, -87.1/37.2). In vivo comparison confirmed a high correlation but revealed an underestimation of CACS PureCalcium (169.3 [0.7/969.4] vs 232.2 [26.5/1112.2], P < 0.001, r = 0.97, ICC = 0.98; mean bias, -113.5; LoA, -470.2/243.2). In comparison, CACS VNC showed a similarly high correlation, but a substantially larger underestimation (24.3 [0/272.3] vs 232.2 [26.5/1112.2], P < 0.001, r = 0.97, ICC = 0.54; mean bias, -551.6; LoA, -2037.5/934.4). CACS PureCalcium showed superior agreement of CACS classification ( κ = 0.88) than CACS VNC ( κ = 0.60).
CONCLUSIONS: The accuracy of CACS quantification and classification based on PureCalcium reconstructions of CCTA outperforms CACS derived from VNC reconstructions.
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2022        PMID: 35318969     DOI: 10.1097/RLI.0000000000000868

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   10.065


  2 in total

1.  First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography.

Authors:  Victor Mergen; Matthias Eberhard; Robert Manka; André Euler; Hatem Alkadhi
Journal:  Front Cardiovasc Med       Date:  2022-09-06

2.  Virtual Non-Contrast Reconstructions of Photon-Counting Detector CT Angiography Datasets as Substitutes for True Non-Contrast Acquisitions in Patients after EVAR-Performance of a Novel Calcium-Preserving Reconstruction Algorithm.

Authors:  Josua A Decker; Stefanie Bette; Christian Scheurig-Muenkler; Bertram Jehs; Franka Risch; Piotr Woźnicki; Franziska M Braun; Mark Haerting; Claudia Wollny; Thomas J Kroencke; Florian Schwarz
Journal:  Diagnostics (Basel)       Date:  2022-02-22
  2 in total

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