Your browser doesn't support javascript.
loading
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.
Emrich, Tilman; Aquino, Gilberto; Schoepf, U Joseph; Braun, Franziska M; Risch, Franka; Bette, Stefanie J; Woznicki, Piotr; Decker, Josua A; O'Doherty, Jim; Brandt, Verena; Allmendinger, Thomas; Nowak, Tristan; Schmidt, Bernhard; Flohr, Thomas; Kroencke, Thomas J; Scheurig-Muenkler, Christian; Varga-Szemes, Akos; Schwarz, Florian.
Affiliation
  • Aquino G; From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston.
  • Schoepf UJ; From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston.
  • Braun FM; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
  • Risch F; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
  • Bette SJ; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
  • Woznicki P; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
  • Decker JA; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
  • O'Doherty J; Siemens Medical Solutions USA Inc, Malvern, PA.
  • Brandt V; From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston.
  • Allmendinger T; Siemens Healthineers, Forchheim, Germany.
  • Nowak T; Siemens Healthineers, Forchheim, Germany.
  • Schmidt B; Siemens Healthineers, Forchheim, Germany.
  • Flohr T; Siemens Healthineers, Forchheim, Germany.
  • Kroencke TJ; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
  • Scheurig-Muenkler C; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
  • Varga-Szemes A; From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston.
  • Schwarz F; Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
Invest Radiol ; 57(8): 536-543, 2022 08 01.
Article in En | MEDLINE | ID: mdl-35318969
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Computed Tomography Angiography Type of study: Prognostic_studies Limits: Female / Humans / Male Language: En Journal: Invest Radiol Year: 2022 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Coronary Artery Disease / Computed Tomography Angiography Type of study: Prognostic_studies Limits: Female / Humans / Male Language: En Journal: Invest Radiol Year: 2022 Document type: Article Country of publication: United States