Virtual monoenergetic imaging of thoracoabdominal computed tomography angiography on photon-counting detector computertomography: assessment of image quality and leveraging low-keV series for salvaging suboptimal contrast acquisitions

  • Background: The aim of this study was to assess the possibility of image improvement of ECG-gated, high-pitch computed tomography angiography (CTA) of the thoracoabdominal aorta before transaortic valve replacement (TAVR) on a novel dual-source photon-counting detector CT (PCD-CT) in the setting of suboptimal low-contrast attenuation. Methods: Continuously examined patients who underwent an ECG-gated, high-pitch CTA of the aorta on a PCD-CT with a contrast decrease of at least 50% between the ascending aorta and the common femoral arteries (CFA) were included. Patient characteristics were documented. Virtual monoenergetic imaging (VMI) reconstructions with three keV settings were generated. CT values and noise were measured for five vascular segments of the aorta and the CFA. Signal-to-noise (SNR) and contrast-to-noise ratios (CNR) were calculated. Two independent board-certified radiologists rated the images with the focus on vascular attenuation, vessel sharpness, and image qualityBackground: The aim of this study was to assess the possibility of image improvement of ECG-gated, high-pitch computed tomography angiography (CTA) of the thoracoabdominal aorta before transaortic valve replacement (TAVR) on a novel dual-source photon-counting detector CT (PCD-CT) in the setting of suboptimal low-contrast attenuation. Methods: Continuously examined patients who underwent an ECG-gated, high-pitch CTA of the aorta on a PCD-CT with a contrast decrease of at least 50% between the ascending aorta and the common femoral arteries (CFA) were included. Patient characteristics were documented. Virtual monoenergetic imaging (VMI) reconstructions with three keV settings were generated. CT values and noise were measured for five vascular segments of the aorta and the CFA. Signal-to-noise (SNR) and contrast-to-noise ratios (CNR) were calculated. Two independent board-certified radiologists rated the images with the focus on vascular attenuation, vessel sharpness, and image quality using a 5-point Likert scale. Results: Fifty-five patients (mean age 77.4 ± 8.5 years; 15 women) were included. The SNR was significantly higher at 40 and 45 keV VMI compared to reference 70 keV ( p < 0.001 and p = 0.005, respectively). The same was shown for the CNR ( p < 0.001 and p = 0.0049, respectively). Subjective image evaluation showed a significant increase in vessel attenuation in the lower keV reconstructions, while the overall image quality decreased only slightly. Furthermore, 50% (8/16) of primarily non-diagnostic scans were considered diagnostic when using low-keV reconstructions ( p > 0.05). Conclusions: ECG-gated CTA of the aorta in high-pitch mode on PCD-CT with suboptimal contrast enhancement at the level of the CFA can be salvaged by using low-keV VMI. This implies the possibility of radiation dose reduction by eliminating the need for repeat scans.show moreshow less

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Metadaten
Author:Katharina RippelORCiD, Josua A. DeckerORCiD, Jan Luitjens, Osama Habeeballah, Stefanie Bette, Franziska Braun, Thomas J. KroenckeORCiDGND, Christian Scheurig-Muenkler
URN:urn:nbn:de:bvb:384-opus4-1179360
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/117936
ISSN:2075-4418OPAC
Parent Title (English):Diagnostics
Publisher:MDPI
Type:Article
Language:English
Date of first Publication:2024/12/17
Publishing Institution:Universität Augsburg
Release Date:2025/01/13
Tag:photon-counter detector CT; high-pitch ECG-gated aortic CT angiographies; virtual monoenergetic imaging; low-contrast attenuation scans
Volume:14
Issue:24
First Page:2843
DOI:https://doi.org/10.3390/diagnostics14242843
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):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)