Intra-individual comparison of epicardial adipose tissue characteristics on coronary CT angiography between photon-counting detector and energy-integrating detector CT systems

dc.contributor.authorKravchenko , Dmitrij
dc.contributor.authorVecsey-Nagy , Milan
dc.contributor.authorTremamunno, Giuseppe
dc.contributor.authorSchoepf , U. Joseph
dc.contributor.authorO’Doherty, Jim
dc.contributor.authorLuetkens , Julian A.
dc.contributor.authorKuetting , Daniel
dc.contributor.authorIsaak , Alexander
dc.contributor.authorHagar , Muhammad Taha
dc.contributor.authorEmrich , Tilman
dc.contributor.authorVarga-Szemes , Akos
dc.date.accessioned2025-07-29T12:27:44Z
dc.date.available2025-07-29T12:27:44Z
dc.date.issued2024
dc.description.abstractPurpose To explore the potential differences in epicardial adipose tissue (EAT) volume and attenuation measurements between photon-counting detector (PCD) and energy-integrating detector (EID)-CT systems. Methods Fifty patients (mean age 69 ± 8 years, 41 male [82 %]) were prospectively enrolled for a research coronary CT angiography (CCTA) on a PCD-CT within 30 days after clinical EID-based CCTA. EID-CT acquisitions were reconstructed using a Bv40 kernel at 0.6 mm slice thickness. The PCD-CT acquisition was reconstructed at a down-sampled resolution (0.6 mm, Bv40; [PCD-DS]) and at ultra-high resolutions (PCD-UHR) with a 0.2 mm slice thickness and Bv40, Bv48, and Bv64 kernels. EAT segmentation was performed semi-automatically at about 1 cm intervals and interpolated to cover the whole epicardium within a threshold of −190 to −30 HU. A subgroup analysis was performed based on quartile groups created from EID-CT data and PCD-UHRBv48 data. Differences were measured using repeated-measures ANOVA and the Friedman test. Correlations were tested using Pearson’s and Spearman’s rho, and agreement using Bland-Altman plots. Results EAT volumes significantly differed between some reconstructions (e.g. EID-CT: 138 ml [IQR 100, 188]; PCD-DS: 147 ml [110, 206]; P<0.001). Overall, correlations between PCD-UHR and EID-CT EAT volumes were excellent, e.g. PCD-UHRBv48: r: 0.976 (95 % CI: 0.958, 0.987); P<0.001; with good agreement (mean bias: −9.5 ml; limits of agreement [LoA]: −40.6, 21.6). On the other hand, correlations regarding EAT attenuation was moderate, e.g. PCD-UHRBV48: r: 0.655 (95 % CI: 0.461, 0.790); P<0.001; mean bias: 6.5 HU; LoA: −2.0, 15.0. Conclusion EAT attenuation and volume measurements demonstrated different absolute values between PCD-UHR, PCD-DS as well as EID-CT reconstructions, but showed similar tendencies on an intra-individual level. New protocols and threshold ranges need to be developed to allow comparison between PCD-CT and EID-CT data.en
dc.identifier.doihttps://doi.org/10.25358/openscience-12958
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/12979
dc.language.isoeng
dc.rightsCC-BY-4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc610 Medizinde
dc.subject.ddc610 Medical sciencesen
dc.titleIntra-individual comparison of epicardial adipose tissue characteristics on coronary CT angiography between photon-counting detector and energy-integrating detector CT systemsen
dc.typeZeitschriftenaufsatz
jgu.journal.titleEuropean journal of radiology
jgu.journal.volume181
jgu.organisation.departmentFB 04 Medizin
jgu.organisation.nameJohannes Gutenberg-Universität Mainz
jgu.organisation.number2700
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.pages.alternative111728
jgu.publisher.doi10.1016/j.ejrad.2024.111728
jgu.publisher.eissn1872-7727
jgu.publisher.nameElsevier
jgu.publisher.placeAmsterdam
jgu.publisher.year2024
jgu.rights.accessrightsopenAccess
jgu.subject.ddccode610
jgu.subject.dfgLebenswissenschaften
jgu.type.contenttypeScientific article
jgu.type.dinitypeArticleen_GB
jgu.type.resourceText
jgu.type.versionPublished version

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