Improved coronary CT angiography image quality using photon-counting detector CT in SCAPIS reexamination: scan protocol and comparative analysisDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Clinical Physiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden.
Dept of Radiology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden.
Dept of Radiology, Sahlgrenska University Hospital, Göteborg, Sweden.
Dept of Radiology, Norrland University Hospital, Umeå, Sweden.
Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden.
Dept of Medical Sciences, Uppsala University, Uppsala, Sweden.
Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden; Center for Image Science and Visualization, Linköping University, Linköping, Sweden; Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
Siemens Healthineers, Solna, Sweden; Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Huddinge, Sweden.
Department of Imaging and Physiology, Skåne University Hospital, Malmö/Lund, Sweden.
Dept of Radiology, Akademiska University Hospital, Uppsala, Sweden.
Umeå University, Faculty of Medicine, Department of Diagnostics and Intervention.
Dept of Radiology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Radiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden.
Show others and affiliations
2026 (English)In: European Journal of Radiology, ISSN 0720-048X, E-ISSN 1872-7727, Vol. 201, article id 112920Article in journal (Refereed) Published
Abstract [en]
Objectives: The Swedish CArdioPulmonary bioImage Study reexamination (SCAPIS reexamination) is the first population-based study to employ coronary CT angiography (CCTA) using photon-counting detector CT (PCD-CT). It includes 15,000 participants from SCAPIS baseline. This work aims to describe the PCD-CT protocol in SCAPIS reexamination, compare diagnostic image quality with energy-integrating detector CT (EID-CT) at SCAPIS baseline, and assess the comparability of Agatston scores and degree of stenosis between the studies.
Methods: The PCD-CT protocol in SCAPIS reexamination is provided. CCTA data from 1,147 participants in SCAPIS reexamination (51% women, age 65 [IQR 61–69]) and 29,554 participants in SCAPIS (52% women, age 58 [54–61]) were analyzed. The image quality in eleven proximal and middle coronary segments was compared, stratified by Agatston score. Agatston scores and stenosis degree were compared in age- and sex-matched samples.
Results: Full diagnostic image quality was more frequent in SCAPIS reexamination (1,036/1,147, 90%) compared with SCAPIS baseline (20,468/26,188, 78%), p < 0.001, despite a higher calcium burden (Agatston score 8 [0–106] vs. 0 [0–20]). Of participants with Agatston score > 400, 89/116, 77%, and 246/945, 26%, had full diagnostic image quality, respectively, p < 0.001. Agatston score distributions and stenosis ≥ 50% were similar in matched samples (p = 0.51 and p = 0.08). Of those with ≥ 50% stenosis at SCAPIS baseline, 30% (12/40) were reclassified to < 50% in SCAPIS reexamination.
Conclusion: The optimized PCD-CT protocol in SCAPIS reexamination provided high image quality, irrespective of Agatston scores, outperforming the EID-CT protocol used at SCAPIS baseline. Agatston scores were comparable, but potential differences in stenosis grading warrant further investigation.
Place, publisher, year, edition, pages
Elsevier, 2026. Vol. 201, article id 112920
Keywords [en]
Cardiac CT, Coronary arteries, Coronary CT angiography, Image quality, Photon-counting detector CT
National Category
Radiology and Medical Imaging
Identifiers
URN: urn:nbn:se:umu:diva-253735DOI: 10.1016/j.ejrad.2026.112920ISI: 001770664700001PubMedID: 42127646Scopus ID: 2-s2.0-105038467552OAI: oai:DiVA.org:umu-253735DiVA, id: diva2:2065141
Funder
Swedish Heart Lung FoundationKnut and Alice Wallenberg FoundationVinnovaUniversity of GothenburgKarolinska InstituteRegion StockholmLinköpings universitetLund UniversityUmeå UniversityUppsala UniversityRegion Örebro County, OLL- 9599962026-06-032026-06-032026-06-03Bibliographically approved