{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T16:04:06Z","timestamp":1784736246165,"version":"3.55.0"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T00:00:00Z","timestamp":1784678400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T00:00:00Z","timestamp":1784678400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To evaluate the reproducibility of quantitative plaque characterization between energy-integrating detector (EID)-CT and photon-counting detector (PCD)-CT, identify reconstruction settings yielding the lowest variability, and model sample-size requirements for trial planning.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>Patients who underwent coronary CT angiography on dual-source EID-CT and PCD-CT within 30 days were screened retrospectively. EID-CT data were reconstructed using quantitative (Qr40) and vascular (Bv40) kernels, while PCD-CT data were reconstructed with Bv36\/40\/44 and Qr36\/40\/44 kernels and quantum iterative reconstruction strengths 2\u20134. For each plaque component (total, low-attenuation, fibrotic, and calcified), volumes were computed using fixed and adaptive Hounsfield-unit thresholds using an automated deep-learning\u2013based plaque-quantification platform and spatially co-registered. Inter-scanner standard deviation (SD) was calculated, and optimal reconstruction pairs were used for power modeling.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Thirty-eight patients (age 68.0 [64.0\u201372.5] years, 30 men) and 77 vessels were included. Inter-scanner correlations were very strong for total (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.85\u20130.95), fibrotic (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.74\u20130.94), and calcified plaque (\n                      <jats:italic>r\u2009<\/jats:italic>\n                      =\u20090.92\u20130.98), and strong for low-attenuation plaque volumes (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.71\u20130.85). Mean bias ranged from 8.2 to 164.4\u2009mm\u00b3 for total plaque volume. Applying the optimal reconstruction pair (Qr40\n                      <jats:sub>EID-CT<\/jats:sub>\n                      vs. Bv36\n                      <jats:sub>PCD-CT<\/jats:sub>\n                      ), inter-scanner SDs were 0.14 (vessel-based) and 0.12 (patient-based). At 80% power and \u03b1\u2009=\u20090.05, the estimated sample sizes to detect 5% and 10% changes in total plaque volume were 116 and 29 vessels or 92 and 23 patients per group.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Quantitative coronary plaque volumes demonstrated high inter-scanner consistency between EID-CT and PCD-CT under optimized conditions. The dual-level power-modeling framework translates inter-scanner variability into actionable sample-size estimates for study design.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key Points<\/jats:title>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Question<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Quantitative coronary plaque volumes are increasingly used as surrogate biomarkers, yet variability between energy-integrating and photon-counting CT remains a major concern.<\/jats:italic>\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Findings<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Harmonized reconstruction settings achieved high inter-scanner consistency with low variability when optimized reconstruction settings and automated plaque quantification are applied.<\/jats:italic>\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Clinical relevance<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Standardized coronary plaque quantification across CT technologies enables reliable use of quantitative plaque endpoints, supporting mixed-platform longitudinal trials.<\/jats:italic>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00330-026-12773-4","type":"journal-article","created":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T15:41:10Z","timestamp":1784734870000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Coronary plaque quantification on energy-integrating and photon-counting detector CT: reproducibility and power modeling for mixed-platform trials"],"prefix":"10.1007","author":[{"given":"Milan","family":"Vecsey-Nagy","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Taha","family":"Hagar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9","family":"Osoria-Velasquez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sardi","family":"Hyska","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mehmet Akif","family":"G\u00fcls\u00fcn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Puneet","family":"Sharma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Borb\u00e1la","family":"Vattay","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B\u00e1lint","family":"Szilveszter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P\u00e1l","family":"Maurovich-Horvat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2781-7462","authenticated-orcid":false,"given":"Akos","family":"Varga-Szemes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tilman","family":"Emrich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,22]]},"reference":[{"key":"12773_CR1","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1016\/j.jacc.2024.10.069","volume":"85","author":"K Sakai","year":"2025","unstructured":"Sakai K, Shin D, Singh M et al (2025) Diagnostic performance and clinical impact of photon-counting detector computed tomography in coronary artery disease. 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G\u00fcls\u00fcn and Sharma are employees of Siemens Healthineers. Siemens Healthineers had no role in study design, data acquisition, data analysis, data interpretation, or manuscript preparation, and the academic authors, not employed by the company, had full control over all data and information submitted for publication. Dr. Szilveszter and Dr. Maurovich-Horvat receive institutional research and travel support from Siemens Healthineers. Dr. Varga-Szemes receives institutional research and travel support from Siemens Healthineers and Bayer Healthcare and is a consultant and shareholder for Elucid Bioimaging. Dr. Emrich is a consultant for Circle Cardiovascular Imaging Inc. and receives travel support, speaker fee and institutional research support from Siemens Healthineers.","order":2,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"One of the authors has statistical expertise. No complex statistical methods were necessary for this paper.","order":3,"name":"Ethics","label":"Statistics and biometry","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"Written consent was obtained from all patients in this study.","order":4,"name":"Ethics","label":"Informed consent","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"Institutional Review Board approval was obtained (Pro00108359).","order":5,"name":"Ethics","label":"Ethical approval","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"This study draws from the same intra-individual cohort as a previous Radiology publication (10.1148\/radiol.241479), but it addresses a distinctly different scientific rationale and purpose. Whereas the earlier work characterized scanner-related differences using reconstruction settings optimized for UHR, the present analysis focuses on harmonizing reconstruction settings between detector technologies, maximizing reproducibility, and providing a practical framework for trial planning using a novel automated plaque quantification tool. We confirm that this manuscript is original, has not been published previously, and is not under review elsewhere.","order":6,"name":"Ethics","label":"Study subjects or cohorts overlap","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"order":7,"name":"Ethics","label":"Methodology","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}}]}}