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Higashigaito K, Mergen V, Eberhard M, Jungblut L, Hebeisen M, Rätzer S, Zanini B, Kobe A, Martini K, Euler A, Alkadhi H. CT Angiography of the Aorta Using Photon-counting Detector CT with Reduced Contrast Media Volume. Radiol Cardiothorac Imaging 2023; 5:e220140. [PMID: 36860835 PMCID: PMC9969214 DOI: 10.1148/ryct.220140] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 12/04/2022] [Accepted: 12/14/2022] [Indexed: 01/27/2023]
Abstract
Purpose To develop and evaluate a low-volume contrast media protocol for thoracoabdominal CT angiography (CTA) with photon-counting detector (PCD) CT. Materials and Methods This prospective study included consecutive participants (April-September 2021) who underwent CTA with PCD CT of the thoracoabdominal aorta and previous CTA with energy-integrating detector (EID) CT at equal radiation doses. In PCD CT, virtual monoenergetic images (VMI) were reconstructed in 5-keV intervals from 40 to 60 keV. Attenuation of the aorta, image noise, and contrast-to-noise ratio (CNR) were measured, and subjective image quality was rated by two independent readers. In the first group of participants, the same contrast media protocol was used for both scans. CNR gain in PCD CT compared with EID CT served as the reference for contrast media volume reduction in the second group. Noninferiority analysis was used to test noninferior image quality of the low-volume contrast media protocol with PCD CT. Results The study included 100 participants (mean age, 75 years ± 8 [SD]; 83 men). In the first group (n = 40), VMI at 50 keV provided the best trade-off between objective and subjective image quality, achieving 25% higher CNR compared with EID CT. Contrast media volume in the second group (n = 60) was reduced by 25% (52.5 mL). Mean differences in CNR and subjective image quality between EID CT and PCD CT at 50 keV were above the predefined boundaries of noninferiority (-0.54 [95% CI: -1.71, 0.62] and -0.36 [95% CI: -0.41, -0.31], respectively). Conclusion CTA of the aorta with PCD CT was associated with higher CNR, which was translated into a low-volume contrast media protocol demonstrating noninferior image quality compared with EID CT at the same radiation dose.Keywords: CT Angiography, CT-Spectral, Vascular, Aorta, Contrast Agents-Intravenous, Technology Assessment© RSNA, 2023See also the commentary by Dundas and Leipsic in this issue.
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Affiliation(s)
- Kai Higashigaito
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Victor Mergen
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Matthias Eberhard
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Lisa Jungblut
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Monika Hebeisen
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Susan Rätzer
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Bettina Zanini
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Adrian Kobe
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Katharina Martini
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - André Euler
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
| | - Hatem Alkadhi
- From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091 Zürich, Switzerland (K.H., V.M., M.E., L.J., S.R., B.Z., A.K., K.M., A.E., H.A.); and Department of Biostatistics at Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Switzerland (M.H.)
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