Intra-individual comparison of coronary calcium scoring between photon counting detector- and energy integrating detector-CT : effects on risk reclassification

dc.contributor.authorWolf, Elias V.
dc.contributor.authorHalfmann, Moritz C.
dc.contributor.authorSchoepf, U. Joseph
dc.contributor.authorZsarnoczay, Emese
dc.contributor.authorFink, Nicola
dc.contributor.authorGriffith, Joseph P.
dc.contributor.authorAquino, Gilberto J.
dc.contributor.authorWillemink, Martin J.
dc.contributor.authorO'Doherty, Jim
dc.contributor.authorHell, Michaela M.
dc.contributor.authorSuranyi, Pal
dc.contributor.authorKabakus, Ismael M.
dc.contributor.authorBaruah, Dhiraj
dc.contributor.authorVarga-Szemes, Akos
dc.contributor.authorEmrich, Tilman
dc.date.accessioned2024-02-19T10:31:16Z
dc.date.available2024-02-19T10:31:16Z
dc.date.issued2023
dc.description.abstractPurpose: To compare coronary artery calcium volume and score (CACS) between photon-counting detector (PCD) and conventional energy integrating detector (EID) computed tomography (CT) in a phantom and prospective patient study. Methods: A commercially available CACS phantom was scanned with a standard CACS protocol (120 kVp, slice thickness/increment 3/1.5 mm, and a quantitative Qr36 kernel), with filtered back projection on the EID-CT, and with monoenergetic reconstruction at 70 keV and quantum iterative reconstruction off on the PCD-CT. The same settings were used to prospectively acquire data in patients (n = 23, 65 ± 12.1 years), who underwent PCD- and EID-CT scans with a median of 5.5 (3.0–12.5) days between the two scans in the period from August 2021 to March 2022. CACS was quantified using a commercially available software solution. A regression formula was obtained from the aforementioned comparison and applied to simulate risk reclassification in a pre-existing cohort of 514 patients who underwent a cardiac EID-CT between January and December 2021. Results: Based on the phantom experiment, CACSPCD–CT showed a more accurate measurement of the reference CAC volumes (overestimation of physical volumes: PCD-CT 66.1 ± 1.6% vs. EID-CT: 77.2 ± 0.5%). CACSEID–CT and CACSPCD–CT were strongly correlated, however, the latter measured significantly lower values in the phantom (CACSPCD–CT: 60.5 (30.2–170.3) vs CACSEID–CT 74.7 (34.6–180.8), p = 0.0015, r = 0.99, mean bias –9.7, Limits of Agreement (LoA) –36.6/17.3) and in patients (non-significant) (CACSPCD–CT: 174.3 (11.1–872.7) vs CACSEID–CT 218.2 (18.5–876.4), p = 0.10, r = 0.94, mean bias –41.1, LoA –315.3/232.5). The systematic lower measurements of Agatston score on PCD-CT system led to reclassification of 5.25% of our simulated patient cohort to a lower classification class. Conclusion: CACSPCD–CT is feasible and correlates strongly with CACSEID–CT, however, leads to lower CACS values. PCD-CT may provide results that are more accurate for CACS than EID-CT.en_GB
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (DFG)|491381577|Open-Access-Publikationskosten 2022–2024 Universität Mainz - Universitätsmedizin
dc.identifier.doihttp://doi.org/10.25358/openscience-10050
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/10068
dc.language.isoengde
dc.rightsCC-BY-4.0*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.ddc610 Medizinde_DE
dc.subject.ddc610 Medical sciencesen_GB
dc.titleIntra-individual comparison of coronary calcium scoring between photon counting detector- and energy integrating detector-CT : effects on risk reclassificationen_GB
dc.typeZeitschriftenaufsatzde
jgu.journal.titleFrontiers in Cardiovascular Medicinede
jgu.journal.volume9de
jgu.organisation.departmentFB 04 Medizinde
jgu.organisation.nameJohannes Gutenberg-Universität Mainz
jgu.organisation.number2700
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.pages.alternative1053398de
jgu.publisher.doi10.3389/fcvm.2022.1053398de
jgu.publisher.issn2297-055Xde
jgu.publisher.nameFrontiers Mediade
jgu.publisher.placeLausannede
jgu.publisher.year2023
jgu.rights.accessrightsopenAccess
jgu.subject.ddccode610de
jgu.subject.dfgNaturwissenschaftende
jgu.type.contenttypeScientific articlede
jgu.type.dinitypeArticleen_GB
jgu.type.resourceTextde
jgu.type.versionPublished versionde

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