Scherwin Mahmoudi, Marvin Lange, Lukas Lenga, Ibrahim Yel, Vitali Koch, Christian Booz, Simon Martin, Simon Bernatz, Thomas J. Vogl, Moritz Hans Ernst Albrecht, Jan-Erik Scholtz
- Objectives: To assess the impact of noise-optimised virtual monoenergetic imaging (VMI+) on image quality and diagnostic evaluation in abdominal dual-energy CT scans with impaired portal-venous contrast.
Methods: We screened 11,746 patients who underwent portal-venous abdominal dual-energy CT for cancer staging between 08/2014 and 11/2019 and identified those with poor portal-venous contrast.
Standard linearly-blended image series and VMI+ image series at 40, 50, and 60 keV were reconstructed. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of abdominal organs and vascular structures were calculated. Image noise, image contrast and overall image quality were rated by three radiologists using 5-point Likert scale.
Results: 452 of 11,746 (4%) exams were poorly opacified. We excluded 190 cases due to incomplete datasets or multiple exams of the same patient with a final study group of 262. Highest CNR values in all abdominal organs (liver, 6.4 ± 3.0; kidney, 17.4 ± 7.5; spleen, 8.0 ± 3.5) and vascular structures (aorta, 16.0 ± 7.3; intrahepatic vein, 11.3 ± 4.7; portal vein, 15.5 ± 6.7) were measured at 40 keV VMI+ with significantly superior values compared to all other series. In subjective analysis, highest image contrast was seen at 40 keV VMI+ (4.8 ± 0.4), whereas overall image quality peaked at 50 keV VMI+ (4.2 ± 0.5) with significantly superior results compared to all other series (p < 0.001).
Conclusions: Image reconstruction using VMI+ algorithm at 50 keV significantly improves image contrast and image quality of originally poorly opacified abdominal CT scans and reduces the number of non-diagnostic scans.
Advances in knowledge: We validated the impact of VMI+ reconstructions in poorly attenuated DECT studies of the abdomen in a big data cohort.
MetadatenAuthor: | Scherwin MahmoudiGND, Marvin LangeGND, Lukas LengaORCiDGND, Ibrahim YelORCiDGND, Vitali KochORCiDGND, Christian BoozORCiDGND, Simon MartinORCiDGND, Simon BernatzORCiDGND, Thomas J. VoglORCiDGND, Moritz Hans Ernst AlbrechtORCiDGND, Jan-Erik ScholtzGND |
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URN: | urn:nbn:de:hebis:30:3-859140 |
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DOI: | https://doi.org/10.1259/bjro.20220006 |
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ISSN: | 2513-9878 |
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Parent Title (English): | BJR Open |
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Publisher: | British Institute of Radiology |
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Place of publication: | [Erscheinungsort nicht ermittelbar] |
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Document Type: | Article |
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Language: | English |
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Date of Publication (online): | 2022/05/10 |
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Date of first Publication: | 2022/05/10 |
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Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
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Release Date: | 2024/08/08 |
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Tag: | Gastrointestinal; Medical Physics: Diagnostic |
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Volume: | 4 |
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Issue: | 1, art. 20220006 |
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Article Number: | 20220006 |
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Page Number: | 10 |
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First Page: | 1 |
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Last Page: | 10 |
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Note: | Gefördert durch den Open-Access-Publikationsfonds der Goethe-Universität |
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HeBIS-PPN: | 520853318 |
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Institutes: | Medizin |
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Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Sammlungen: | Universitätspublikationen |
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Open-Access-Publikationsfonds: | Medizin |
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Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |
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