Intra-individual comparison of coronary CT angiography-based FFR between energy-integrating and photon-counting detector CT systems

dc.contributor.authorZsarnoczay, Emese
dc.contributor.authorPinos, Daniel
dc.contributor.authorSchoepf, U. Joseph
dc.contributor.authorFink, Nicola
dc.contributor.authorO'Doherty, Jim
dc.contributor.authorGnasso, Chiara
dc.contributor.authorGriffith, III, Joseph
dc.contributor.authorVecsey-Nagy, Milán
dc.contributor.authorSuranyi, Pal
dc.contributor.authorMaurovich-Horvat, Pál
dc.contributor.authorEmrich, Tilman
dc.contributor.authorVarga-Szemes, Akos
dc.date.accessioned2025-07-24T11:25:52Z
dc.date.available2025-07-24T11:25:52Z
dc.date.issued2024
dc.description.abstractBackground Coronary computed tomography angiography (CCTA)-based fractional flow reserve (CT-FFR) allows for noninvasive determination of the functional severity of anatomic lesions in patients with coronary artery disease. The aim of this study was to intra-individually compare CT-FFR between photon-counting detector (PCD) and conventional energy-integrating detector (EID) CT systems. Methods In this single-center prospective study, subjects who underwent clinically indicated CCTA on an EID-CT system were recruited for a research CCTA on PCD-CT within 30 days. Image reconstruction settings were matched as closely as possible between EID-CT (Bv36 kernel, iterative reconstruction strength level 3, slice thickness 0.5 mm) and PCD-CT (Bv36 kernel, quantum iterative reconstruction level 3, virtual monoenergetic level 55 keV, slice thickness 0.6 mm). CT-FFR was measured semi-automatically using a prototype on-site machine learning algorithm by two readers. CT-FFR analysis was performed per-patient and per-vessel, and a CT-FFR ≤ 0.75 was considered hemodynamically significant. Results A total of 22 patients (63.3 ± 9.2 years; 7 women) were included. Median time between EID-CT and PCD-CT was 5.5 days. Comparison of CT-FFR values showed no significant difference and strong agreement between EID-CT and PCD-CT in the per-vessel analysis (0.88 [0.74–0.94] vs. 0.87 [0.76–0.93], P = 0.096, mean bias 0.02, limits of agreement [LoA] −0.14/0.19, r = 0.83, ICC = 0.92), and in the per-patient analysis (0.81 [0.60–0.86] vs. 0.76 [0.64–0.86], P = 0.768, mean bias 0.02, LoA −0.15/0.19, r = 0.90, ICC = 0.93). All included patients were classified into the same category (CT-FFR > 0.75 vs ≤0.75) with both CT systems. Conclusions CT-FFR evaluation is feasible with PCD-CT and it shows a strong agreement with EID-CT-based evaluation when images are similarly reconstructed.en
dc.identifier.doihttps://doi.org/10.25358/openscience-12776
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/12797
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 coronary CT angiography-based FFR between energy-integrating and photon-counting detector CT systemsen
dc.typeZeitschriftenaufsatz
jgu.journal.titleInternational journal of cardiology
jgu.journal.volume399
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.alternative131684
jgu.publisher.doi10.1016/j.ijcard.2023.131684
jgu.publisher.issn1874-1754
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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