Virtual non-contrast series of photon-counting detector computed tomography angiography for aortic valve calcium scoring.

Autor: Risch F; Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany., Harmel E; Medical Clinic, Department of Cardiology, University Hospital Augsburg, Augsburg, Germany., Rippel K; Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany., Wein B; Medical Clinic, Department of Cardiology, University Hospital Augsburg, Augsburg, Germany., Raake P; Medical Clinic, Department of Cardiology, University Hospital Augsburg, Augsburg, Germany., Girdauskas E; Department of Cardiac Surgery, University Hospital Augsburg, Augsburg, Germany., Elvinger S; Medical Clinic, Department of Cardiology, University Hospital Augsburg, Augsburg, Germany., Owais T; Department of Cardiac Surgery, University Hospital Augsburg, Augsburg, Germany., Scheurig-Muenkler C; Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany., Kroencke T; Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany. Thomas.Kroencke@uk-augsburg.de.; Centre for Advanced Analytics and Predictive Sciences, Augsburg University, Augsburg, Germany. Thomas.Kroencke@uk-augsburg.de., Schwarz F; Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany.; Clinic for Diagnostic and Interventional Radiology, Donau-Isar-Klinikum, Deggendorf, Germany., Braun F; Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany., Decker JA; Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany.
Jazyk: angličtina
Zdroj: The international journal of cardiovascular imaging [Int J Cardiovasc Imaging] 2024 Apr; Vol. 40 (4), pp. 723-732. Date of Electronic Publication: 2024 Jan 04.
DOI: 10.1007/s10554-023-03040-4
Abstrakt: The aim of our study was to evaluate two different virtual non-contrast (VNC) algorithms applied to photon counting detector (PCD)-CT data in terms of noise, effectiveness of contrast media subtraction and aortic valve calcium (AVC) scoring compared to reference true non-contrast (TNC)-based results. Consecutive patients underwent TAVR planning examination comprising a TNC scan, followed by a CTA of the heart. VNC series were reconstructed using a conventional (VNC conv ) and a calcium-preserving (VNC pc ) algorithm. Noise was analyzed by means of the standard deviation of CT-values within the left ventricle. To assess the effectiveness of contrast media removal, heart volumes were segmented and the proportion of their histograms > 130HU was taken. AVC was measured by Agatston and volume score. 41 patients were included. Comparable noise levels to TNC were achieved with all VNC reconstructions. Contrast media was effectively virtually removed (proportions > 130HU from 81% to < 1%). Median calcium scores derived from VNC conv underestimated TNC-based scores (up to 74%). Results with smallest absolute difference to TNC were obtained with VNC pc reconstructions (0.4 mm, Br36, QIR 4), but with persistent significant underestimation (median 29%). Both VNC algorithms showed near-perfect (r²>0.9) correlation with TNC. Thin-slice VNC reconstructions provide equivalent noise levels to standard thick-slice TNC series and effective virtual removal of iodinated contrast. AVC scoring was feasible on both VNC series, showing near-perfect correlation, but with significant underestimation. VNC pc with 0.4 mm slices and Br36 kernel at QIR 4 gave the most comparable results and, with further advances, could be a promising replacement for additional TNC.
(© 2024. The Author(s).)
Databáze: MEDLINE
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