Simon Martin, Jetlir Kolaneci, Rouben Czwikla, Christian Booz, Leon David Grünewald, Moritz Hans Ernst Albrecht, Zachary M. Thompson, Lukas Lenga, Ibrahim Yel, Thomas J. Vogl, Julian Wichmann, Vitali Koch
- Purpose: To investigate the diagnostic performance of noise-optimized virtual monoenergetic images (VMI+) in dual-energy CT (DECT) of portal vein thrombosis (PVT) compared to standard reconstructions. Method: This retrospective, single-center study included 107 patients (68 men; mean age, 60.1 ± 10.7 years) with malignant or cirrhotic liver disease and suspected PVT who had undergone contrast-enhanced portal-phase DECT of the abdomen. Linearly blended (M_0.6) and virtual monoenergetic images were calculated using both standard VMI and noise-optimized VMI+ algorithms in 20 keV increments from 40 to 100 keV. Quantitative measurements were performed in the portal vein for objective contrast-to-noise ratio (CNR) calculation. The image series showing the greatest CNR were further assessed for subjective image quality and diagnostic accuracy of PVT detection by two blinded radiologists. Results: PVT was present in 38 subjects. VMI+ reconstructions at 40 keV revealed the best objective image quality (CNR, 9.6 ± 4.3) compared to all other image reconstructions (p < 0.01). In the standard VMI series, CNR peaked at 60 keV (CNR, 4.7 ± 2.1). Qualitative image parameters showed the highest image quality rating scores for the 60 keV VMI+ series (median, 4) (p ≤ 0.03). The greatest diagnostic accuracy for the diagnosis of PVT was found for the 40 keV VMI+ series (sensitivity, 96%; specificity, 96%) compared to M_0.6 images (sensitivity, 87%; specificity, 92%), 60 keV VMI (sensitivity, 87%; specificity, 97%), and 60 keV VMI+ reconstructions (sensitivity, 92%; specificity, 97%) (p ≤ 0.01). Conclusions: Low-keV VMI+ reconstructions resulted in significantly improved diagnostic performance for the detection of PVT compared to other DECT reconstruction algorithms.
MetadatenVerfasserangaben: | Simon MartinORCiDGND, Jetlir Kolaneci, Rouben Czwikla, Christian BoozORCiDGND, Leon David GrünewaldORCiDGND, Moritz Hans Ernst AlbrechtORCiDGND, Zachary M. Thompson, Lukas LengaORCiDGND, Ibrahim YelORCiDGND, Thomas J. VoglORCiDGND, Julian WichmannORCiDGND, Vitali KochORCiDGND |
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URN: | urn:nbn:de:hebis:30:3-692477 |
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DOI: | https://doi.org/10.3390/diagnostics12071682 |
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ISSN: | 2075-4418 |
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Titel des übergeordneten Werkes (Englisch): | Diagnostics |
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Verlag: | MDPI |
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Verlagsort: | Basel |
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Dokumentart: | Wissenschaftlicher Artikel |
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Sprache: | Englisch |
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Datum der Veröffentlichung (online): | 10.07.2022 |
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Datum der Erstveröffentlichung: | 10.07.2022 |
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Veröffentlichende Institution: | Universitätsbibliothek Johann Christian Senckenberg |
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Datum der Freischaltung: | 16.12.2022 |
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Freies Schlagwort / Tag: | diagnostic imaging; liver; multidetector computed tomography; portal vein; thrombosis |
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Jahrgang: | 12 |
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Ausgabe / Heft: | 7, art. 1682 |
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Aufsatznummer: | 1682 |
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Seitenzahl: | 12 |
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Erste Seite: | 1 |
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Letzte Seite: | 12 |
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HeBIS-PPN: | 50714418X |
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Institute: | Medizin |
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DDC-Klassifikation: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Sammlungen: | Universitätspublikationen |
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Lizenz (Deutsch): | Creative Commons - Namensnennung 4.0 |
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