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Potential of photon-counting detector CT technology for contrast medium reduction in portal venous phase thoracoabdominal CT

  • To compare image quality and iodine attenuation intra-individually in portal venous phase photon-counting detector CT (PCD-CT) scans using protocols with different contrast medium (CM) volume. Materials and methods A prospectively acquired patient cohort between 04/2021 and 11/2023 was retrospectively screened if patients had the following combination of portal venous phase thoracoabdominal CT scans: (a) PCD-CT with 120 mL CM volume (PCD-CT120 mL), (b) PCD-CT with 100 mL CM volume (PCD-CT100 mL), and (c) prior energy-integrating detector CT (EID-CT) with 120 mL CM volume. On PCD-CT, virtual monoenergetic image (VMI) reconstructions at 70 keV were applied for both groups as well as additional VMI at 60 keV for PCD‑CT100 mL. Quantitative analyses including signal-to-noise (SNR) and contrast-to-noise ratios (CNR) and qualitative analyses were performed using a mixed linear effects model. Results The final study cohort comprised 49 patients (mean age 67 [31–86] years, 12 female).To compare image quality and iodine attenuation intra-individually in portal venous phase photon-counting detector CT (PCD-CT) scans using protocols with different contrast medium (CM) volume. Materials and methods A prospectively acquired patient cohort between 04/2021 and 11/2023 was retrospectively screened if patients had the following combination of portal venous phase thoracoabdominal CT scans: (a) PCD-CT with 120 mL CM volume (PCD-CT120 mL), (b) PCD-CT with 100 mL CM volume (PCD-CT100 mL), and (c) prior energy-integrating detector CT (EID-CT) with 120 mL CM volume. On PCD-CT, virtual monoenergetic image (VMI) reconstructions at 70 keV were applied for both groups as well as additional VMI at 60 keV for PCD‑CT100 mL. Quantitative analyses including signal-to-noise (SNR) and contrast-to-noise ratios (CNR) and qualitative analyses were performed using a mixed linear effects model. Results The final study cohort comprised 49 patients (mean age 67 [31–86] years, 12 female). Comparison to EID-CT was available in 33 patients. In standard 70 keV VMI reconstructions, PCD-CT100 mL was non-inferior to PCD-CT120 mL as well as to EID-CT120 mL for CNR in abdominal organs (all p > 0.050). The mixed linear effects model revealed significant differences between contrast volume groups for both contrast enhancement and image quality ratings. PCD-CT100 mL/70 keV demonstrated the smallest deviation from optimal contrast enhancement (−0.306, p < 0.001). Conclusion In portal venous phase thoracoabdominal PCD-CT, a nearly 17% reduction in CM was achievable while maintaining subjective and objective image quality compared to prior higher CM volume PCD-CT scans within the same patients and still surpassing image quality of previous exams on an EID-CT system.show moreshow less

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Metadaten
Author:Daniel Popp, Martin Siedlecki, Lena Friedrich, Mark Haerting, Christian Scheurig-Muenkler, Florian Schwarz, Thomas KroenckeGND, Stefanie Bette, Josua A. Decker
URN:urn:nbn:de:bvb:384-opus4-1196006
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/119600
ISSN:1432-1084OPAC
Parent Title (English):European Radiology
Publisher:Springer Science and Business Media LLC
Place of publication:Berlin
Type:Article
Language:English
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/03/10
Volume:35
Issue:8
First Page:4635
Last Page:4648
DOI:https://doi.org/10.1007/s00330-025-11409-3
Institutes:Fakultätsübergreifende Institute und Einrichtungen
Medizinische Fakultät
Medizinische Fakultät / Universitätsklinikum
Medizinische Fakultät / Lehrstuhl für Diagnostische und Interventionelle Radiologie
Fakultätsübergreifende Institute und Einrichtungen / Zentrum für Advanced Analytics and Predictive Sciences (CAAPS)
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):License LogoCC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)