{"id":67,"date":"2026-10-26T15:11:48","date_gmt":"2026-10-26T14:11:48","guid":{"rendered":"https:\/\/semmelweis.hu\/cardiolab\/?page_id=67"},"modified":"2026-11-09T14:44:31","modified_gmt":"2026-11-09T13:44:31","slug":"publications","status":"publish","type":"page","link":"https:\/\/semmelweis.hu\/cardiolab\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

Peer-reviewed publications from CardioLab members.<\/p>\n

Search on PubMed<\/a><\/p>\n

Selected team publications, 2016\u20132026<\/h2>\n

Milestones in core lab work, multicentre trials, photon-counting CT and phantom research.<\/p>\n

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2026<\/div>\n
Photon-counting CT: from images to patient care<\/div>\n
Invited editorial on the clinical translation of photon-counting CT.<\/div>\n
Szilveszter B. JACC Cardiovasc Imaging<\/em>. doi:10.1016\/j.jcmg.2026.08.014<\/a><\/div>\n<\/div>\n<\/div>\n
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2026<\/div>\n
Phantom ground truth for low-attenuation plaque<\/div>\n
In a mixed-plaque phantom, ultra-high-resolution photon-counting CT with sharp kernels best reproduced LAP attenuation; calcium and iodine masked LAP at low keV.<\/div>\n
Szilveszter B, et al. Eur Heart J Imaging Methods Pract<\/em>. doi:10.1093\/ehjimp\/qyag119<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n
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2026<\/div>\n
Plaque quantification across software platforms<\/div>\n
A novel plaque analysis software compared with an established tool on photon-counting and energy-integrating CT: rapid, reproducible quantification, with fewer manual corrections and less inter-platform variability on photon-counting CT.<\/div>\n
Sipos B, Vattay B, …, Szilveszter B. Eur J Radiol<\/em>. doi:10.1016\/j.ejrad.2026.112928<\/a><\/div>\n<\/div>\n<\/div>\n
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2026<\/div>\n
High-risk plaque and outcomes in DISCHARGE<\/div>\n
Prespecified DISCHARGE secondary analysis: high-risk plaque features, including CAC \u2265400, predicted MACE with prognostic value similar to obstructive CAD.<\/div>\n
Szilveszter B, et al. Eur Radiol<\/em>. doi:10.1007\/s00330-025-12146-3<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n
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2025<\/div>\n
CT phenotype-guided statin therapy<\/div>\n
Statin benefit on MACE depended on the CTA-defined CAD phenotype and increased with disease extent and high-risk plaque; patients without CAD showed no MACE benefit.<\/div>\n
Szilveszter B, et al. JACC Cardiovasc Imaging<\/em>. doi:10.1016\/j.jcmg.2025.05.018<\/a><\/div>\n<\/div>\n<\/div>\n
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2024<\/div>\n
Ultra-high-resolution photon-counting CT for stenosis grading<\/div>\n
Compared with conventional CT, UHR photon-counting CT measured stenosis in calcified plaques more accurately and reclassified CAD-RADS in 49% of patients.<\/div>\n
Vecsey-Nagy M, et al. Circ Cardiovasc Imaging<\/em>. doi:10.1161\/CIRCIMAGING.124.017112<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n
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2024<\/div>\n
Head-to-head comparison of plaque quantification tools<\/div>\n
Two contemporary quantitative plaque tools compared in single-centre and multicentre cohorts: more automation meant better reproducibility and shorter reading times.<\/div>\n
Weichsel L, …, Szilveszter B, et al. Diagnostics (Basel)<\/em>. doi:10.3390\/diagnostics14020154<\/a><\/div>\n<\/div>\n<\/div>\n
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2023<\/div>\n
Perfusion CT in high-risk vascular patients<\/div>\n
Pilot study: coronary CTA with dynamic perfusion CT was feasible for detecting functionally significant CAD despite heavy calcification in chronic limb-threatening ischaemia.<\/div>\n
Nagy FT, …, Szilveszter B. J Cardiovasc Dev Dis<\/em>. doi:10.3390\/jcdd10110443<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n
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2023<\/div>\n
Low-attenuation plaque and troponin release<\/div>\n
Tested whether ischaemia (CT-FFR), inflammation or pericoronary fat mediate the link between LAP burden and hs-troponin T in chronic coronary syndrome; none did.<\/div>\n
Vecsey-Nagy M, …, Szilveszter B. J Cardiovasc Comput Tomogr<\/em>. doi:10.1016\/j.jcct.2023.10.011<\/a><\/div>\n<\/div>\n<\/div>\n
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2023<\/div>\n
DISCHARGE: patients with diabetes<\/div>\n
In patients with diabetes, a CT-first strategy showed no difference in MACE and fewer major procedure-related complications than invasive angiography.<\/div>\n
Benedek T, …, Szilveszter B, et al. Diabetes Care<\/em>. doi:10.2337\/dc23-0710<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n
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2022<\/div>\n
Serial CT: beyond CAD-RADS<\/div>\n
On serial coronary CTA, CAD-RADS missed plaque progression in almost half of patients, which supports quantitative metrics for longitudinal studies.<\/div>\n
Szilveszter B, et al. Eur Heart J Cardiovasc Imaging<\/em>. doi:10.1093\/ehjci\/jeab215<\/a><\/div>\n<\/div>\n<\/div>\n
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2022<\/div>\n
DISCHARGE trial<\/div>\n
European randomized trial: a CT-first strategy had similar MACE and fewer major complications than invasive coronary angiography. Semmelweis was a participating site.<\/div>\n
DISCHARGE Trial Group N Engl J Med<\/em>. doi:10.1056\/NEJMoa2200963<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n
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2019<\/div>\n
CT strain imaging<\/div>\n
Feature-tracking left ventricular and left atrial strain on cardiac CT was validated against echocardiography, with high reproducibility.<\/div>\n
Szilveszter B, et al. J Cardiovasc Comput Tomogr<\/em>. doi:10.1016\/j.jcct.2019.12.004<\/a><\/div>\n<\/div>\n<\/div>\n
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2019<\/div>\n
Core lab reads in PROMISE<\/div>\n
Core lab analysis of the PROMISE trial: CAD-RADS added prognostic value beyond ASCVD risk score and calcium score.<\/div>\n
Bittner DO, …, Szilveszter B, et al. JACC Cardiovasc Imaging<\/em>. doi:10.1016\/j.jcmg.2019.09.012<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

Recent publications<\/h2>\n

Imported from PubMed<\/p>\n

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  1. Szilveszter B. New Eyes for an Old Problem.<\/strong> JACC Cardiovasc Imaging<\/em>. 2026. doi:10.1016\/j.jcmg.2026.08.014<\/a> | PubMed<\/a><\/li>\n
  2. Huszti BB, et al. Cumulative Duration of Severe Psoriasis: A Novel Cardiovascular Risk Predictor for Dermatologists.<\/strong> Dermatol Ther (Heidelb)<\/em>. 2026. doi:10.1007\/s13555-026-01872-1<\/a> | PubMed<\/a><\/li>\n
  3. Szilveszter B, Kolossv\u00e1ry M, et al. Mixed coronary plaque phantom analysis by photon-counting CT: impact of calcium and iodine on low-attenuation plaque detection.<\/strong> Eur Heart J Imaging Methods Pract<\/em>. 2026. doi:10.1093\/ehjimp\/qyag119<\/a> | PubMed<\/a><\/li>\n
  4. Vecsey-Nagy M, et al. Coronary plaque quantification on energy-integrating and photon-counting detector CT: reproducibility and power modeling for mixed-platform trials.<\/strong> Eur Radiol<\/em>. 2026. doi:10.1007\/s00330-026-12773-4<\/a> | PubMed<\/a><\/li>\n
  5. Hyska S, et al. Deep-learning denoising for ultrahigh-resolution photon-counting detector CT: phantom and in vivo evaluation of non-calcified coronary plaques.<\/strong> Int J Cardiovasc Imaging<\/em>. 2026. doi:10.1007\/s10554-026-03774-x<\/a> | PubMed<\/a><\/li>\n
  6. Sipos B, Vattay B, Boussoussou M, et al. Reproducibility and workflow efficiency of a novel software for quantitative coronary plaque characterization using photon-counting and energy-integrating detector computed tomography.<\/strong> Eur J Radiol<\/em>. 2026. doi:10.1016\/j.ejrad.2026.112928<\/a> | PubMed<\/a><\/li>\n
  7. Hagar MT, Vecsey-Nagy M, et al. Photon-counting CT in cardiac imaging: multi-institutional guidance on technical principles, clinical evidence, and practical protocols.<\/strong> Eur J Radiol<\/em>. 2026. doi:10.1016\/j.ejrad.2026.112904<\/a> | PubMed<\/a><\/li>\n
  8. Vecsey-Nagy M, et al. Bridging scanner variability and biological change: Power modeling for studies involving both energy-integrating and photon-counting detector CT.<\/strong> J Cardiovasc Comput Tomogr<\/em>. 2026. doi:10.1016\/j.jcct.2026.03.001<\/a> | PubMed<\/a><\/li>\n
  9. Szilveszter B, Hagar MT, Kulyassa P, et al. Assessing coronary in-stent restenosis using ultrahigh-resolution photon-counting detector CT: results from a two-center study.<\/strong> Eur J Radiol<\/em>. 2026. doi:10.1016\/j.ejrad.2026.112766<\/a> | PubMed<\/a><\/li>\n
  10. Szilveszter B, et al. Association of high-risk CT coronary artery plaque features with major adverse cardiovascular events: a prespecified secondary analysis of the DISCHARGE trial.<\/strong> Eur Radiol<\/em>. 2026. doi:10.1007\/s00330-025-12146-3<\/a> | PubMed<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

    Peer-reviewed publications from CardioLab members. Search on PubMed<\/a> Selected team publications, 2016\u20132026 Milestones in core lab work, multicentre trials, photon-counting CT and phantom research. 2026 Photon-counting CT: from images to patient care Invited editorial on the clinical translation of photon-counting CT. Szilveszter B. JACC Cardiovasc Imaging. doi:10.1016\/j.jcmg.2026.08.014<\/a>                 2026 Phantom ground truth …<\/p>\n","protected":false},"author":102652,"featured_media":0,"parent":0,"menu_order":6,"comment_status":"closed","ping_status":"closed","template":"template-fullwidth.php","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-67","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/semmelweis.hu\/cardiolab\/wp-json\/wp\/v2\/pages\/67","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/semmelweis.hu\/cardiolab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/semmelweis.hu\/cardiolab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/cardiolab\/wp-json\/wp\/v2\/users\/102652"}],"replies":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/cardiolab\/wp-json\/wp\/v2\/comments?post=67"}],"version-history":[{"count":10,"href":"https:\/\/semmelweis.hu\/cardiolab\/wp-json\/wp\/v2\/pages\/67\/revisions"}],"predecessor-version":[{"id":245,"href":"https:\/\/semmelweis.hu\/cardiolab\/wp-json\/wp\/v2\/pages\/67\/revisions\/245"}],"wp:attachment":[{"href":"https:\/\/semmelweis.hu\/cardiolab\/wp-json\/wp\/v2\/media?parent=67"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/semmelweis.hu\/cardiolab\/wp-json\/wp\/v2\/categories?post=67"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/semmelweis.hu\/cardiolab\/wp-json\/wp\/v2\/tags?post=67"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}