Marleen Vonder1, Carlijn M van der Aalst2, Rozemarijn Vliegenthart1, Peter M A van Ooijen3, Dirkjan Kuijpers4, Jan Willem Gratama5, Harry J de Koning2, Matthijs Oudkerk6. 1. University of Groningen, University Medical Center Groningen, Center for Medical Imaging North-East Netherlands (CMI-NEN), Groningen, The Netherlands. 2. Erasmus MC-University Medical Centre, Department of Public Health, Rotterdam, The Netherlands. 3. University of Groningen, University Medical Center Groningen, Center for Medical Imaging North-East Netherlands (CMI-NEN), Groningen, The Netherlands; University of Groningen, University Medical Center Groningen, Department of Radiology, Groningen, The Netherlands. 4. University of Groningen, University Medical Center Groningen, Center for Medical Imaging North-East Netherlands (CMI-NEN), Groningen, The Netherlands; Department of Radiology, Haaglanden Medical Center Bronovo, The Hague, The Netherlands. 5. University of Groningen, University Medical Center Groningen, Center for Medical Imaging North-East Netherlands (CMI-NEN), Groningen, The Netherlands; Department of Radiology, Gelre Hospital, Apeldoorn, The Netherlands. 6. University of Groningen, University Medical Center Groningen, Center for Medical Imaging North-East Netherlands (CMI-NEN), Groningen, The Netherlands. Electronic address: m.oudkerk@umcg.nl.
Abstract
RATIONALE AND OBJECTIVES: To describe the rationale, design, and technical background of coronary artery calcium (CAC) imaging in the large-scale population-based cardiovascular disease screening trial (Risk Or Benefit IN Screening for CArdiovascular Diseases [ROBINSCA]). MATERIALS AND METHODS: First, literature search was performed to review the logistics, setup, and settings of previously performed CAC imaging studies, and current clinical CAC imaging protocols of participating centers in the ROBINSCA trial were evaluated. A second literature search was performed to evaluate the impact of computed tomography parameter settings on CAC score. RESULTS: Based on literature reviews and experts opinion an imaging protocol accompanied by data management protocol was created for ROBINSCA. The imaging protocol should consist of a fixed tube voltage, individually tailored tube current setting, mid-diastolic electrocardiography-triggering, fixed field-of-view, fixed reconstruction kernel, fixed slice thickness, overlapping reconstruction and without iterative reconstruction. The analysis of scans is performed with one type and version of CAC scoring software, by two dedicated and experienced researchers. The data management protocol describes the organization of data handling between the coordinating center, participating centers, and core analysis center. CONCLUSION: In this paper we describe the rationale and technical considerations to be taken in developing CAC imaging protocol, and we present a detailed protocol that can be implemented for CAC screening purposes.
RATIONALE AND OBJECTIVES: To describe the rationale, design, and technical background of coronary artery calcium (CAC) imaging in the large-scale population-based cardiovascular disease screening trial (Risk Or Benefit IN Screening for CArdiovascular Diseases [ROBINSCA]). MATERIALS AND METHODS: First, literature search was performed to review the logistics, setup, and settings of previously performed CAC imaging studies, and current clinical CAC imaging protocols of participating centers in the ROBINSCA trial were evaluated. A second literature search was performed to evaluate the impact of computed tomography parameter settings on CAC score. RESULTS: Based on literature reviews and experts opinion an imaging protocol accompanied by data management protocol was created for ROBINSCA. The imaging protocol should consist of a fixed tube voltage, individually tailored tube current setting, mid-diastolic electrocardiography-triggering, fixed field-of-view, fixed reconstruction kernel, fixed slice thickness, overlapping reconstruction and without iterative reconstruction. The analysis of scans is performed with one type and version of CAC scoring software, by two dedicated and experienced researchers. The data management protocol describes the organization of data handling between the coordinating center, participating centers, and core analysis center. CONCLUSION: In this paper we describe the rationale and technical considerations to be taken in developing CAC imaging protocol, and we present a detailed protocol that can be implemented for CAC screening purposes.
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Authors: Giulia Veronesi; David R Baldwin; Claudia I Henschke; Simone Ghislandi; Sergio Iavicoli; Matthijs Oudkerk; Harry J De Koning; Joseph Shemesh; John K Field; Javier J Zulueta; Denis Horgan; Lucia Fiestas Navarrete; Maurizio Valentino Infante; Pierluigi Novellis; Rachael L Murray; Nir Peled; Cristiano Rampinelli; Gaetano Rocco; Witold Rzyman; Giorgio Vittorio Scagliotti; Martin C Tammemagi; Luca Bertolaccini; Natthaya Triphuridet; Rowena Yip; Alexia Rossi; Suresh Senan; Giuseppe Ferrante; Kate Brain; Carlijn van der Aalst; Lorenzo Bonomo; Dario Consonni; Jan P Van Meerbeeck; Patrick Maisonneuve; Silvia Novello; Anand Devaraj; Zaigham Saghir; Giuseppe Pelosi Journal: Cancers (Basel) Date: 2020-06-24 Impact factor: 6.639
Authors: Marleen J Emaus; Ivana Išgum; Sanne G M van Velzen; H J G Desirée van den Bongard; Sofie A M Gernaat; Nikolas Lessmann; Margriet G A Sattler; Arco J Teske; Joan Penninkhof; Hanneke Meijer; Jean-Philippe Pignol; Helena M Verkooijen Journal: BMJ Open Date: 2019-07-27 Impact factor: 2.692
Authors: Jonathan R Weir-McCall; Kelley Branch; Maros Ferencik; Ron Blankstein; Andrew D Choi; Brian B Ghoshhajra; Kavitha Chinnaiyan; Purvi Parwani; Edward Nicol; Koen Nieman Journal: J Cardiovasc Comput Tomogr Date: 2020-10-01