Bragatston study protocol: a multicentre cohort study on automated quantification of cardiovascular calcifications on radiotherapy planning CT scans for cardiovascular risk prediction in patients with breast cancer. Issue 7 (27th July 2019)

• Record Type: Journal Article
• Authors: Emaus, Marleen J; Išgum, Ivana; van Velzen, Sanne G M; van den Bongard, H J G Desirée; Gernaat, Sofie A M; Lessmann, Nikolas; Sattler, Margriet G A; Teske, Arco J; Penninkhof, Joan; Meijer, Hanneke; Pignol, Jean-Philippe; Verkooijen, Helena M
• Other Names: author non-byline.; Bijlsma R M author non-byline.; A blezer E L author non-byline.; Bots M L author non-byline.; Bretveld H J author non-byline.; Hooning M J author non-byline.; Incrocci L author non-byline.; De jong P A author non-byline.; Leiner T author non-byline.; Van tol-geerdink J J author non-byline.; Vaartjes I author non-byline.; Veldhuis W B author non-byline.; Verloop J author non-byline.; Viergever M A author non-byline.; J visseren F L author non-byline.; Wessels H author non-byline.
• Is Part Of: BMJ open. Volume 9:Issue 7(2019)
• Publication Date: 2019-07-27
• Subjects: breast cancer -- cardiovascular disease -- coronary artery calcifications -- prediction -- deep learning algorithm -- radiotherapy planning CT-scan; Medicine -- Research -- Periodicals; 610.72
• DOI: 10.1136/bmjopen-2018-028752
• Languages: English
• ISSNs: 2044-6055

Abstract

Abstract : Introduction: Cardiovascular disease (CVD) is an important cause of death in breast cancer survivors. Some breast cancer treatments including anthracyclines, trastuzumab and radiotherapy can increase the risk of CVD, especially for patients with pre-existing CVD risk factors. Early identification of patients at increased CVD risk may allow switching to less cardiotoxic treatments, active surveillance or treatment of CVD risk factors. One of the strongest independent CVD risk factors is the presence and extent of coronary artery calcifications (CAC). In clinical practice, CAC are generally quantified on ECG-triggered cardiac CT scans. Patients with breast cancer treated with radiotherapy routinely undergo radiotherapy planning CT scans of the chest, and those scans could provide the opportunity to routinely assess CAC before a potentially cardiotoxic treatment. The Bragatston study aims to investigate the association between calcifications in the coronary arteries, aorta and heart valves (hereinafter called 'cardiovascular calcifications') measured automatically on planning CT scans of patients with breast cancer and CVD risk. Methods and analysis: In a first step, we will optimise and validate a deep learning algorithm for automated quantification of cardiovascular calcifications on planning CT scans of patients with breast cancer. Then, in a multicentre cohort study (University Medical Center Utrecht, Utrecht, Erasmus MC Cancer Institute, Rotterdam and Radboudumc, Nijmegen, The Netherlands), the association between cardiovascular calcifications measured on planning CT scans of patients with breast cancer (n≈16 000) and incident (non-)fatal CVD events will be evaluated. To assess the added predictive value of these calcifications over traditional CVD risk factors and treatment characteristics, a case-cohort analysis will be performed among all cohort members diagnosed with a CVD event during follow-up (n≈200) and a random sample of the baseline cohort (n≈600). Ethics and dissemination: The Institutional Review Boards of the participating hospitals decided that the Medical Research Involving Human Subjects Act does not apply. Findings will be published in peer-reviewed journals and presented at conferences. Trial registration number: NCT03206333 .