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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

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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661654/
https://www.ncbi.nlm.nih.gov/pubmed/31352417
http://dx.doi.org/10.1136/bmjopen-2018-028752
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author 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
author_facet 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
author_sort Emaus, Marleen J
collection PubMed
description 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.
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spelling pubmed-66616542019-08-07 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 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 BMJ Open Oncology 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. BMJ Publishing Group 2019-07-27 /pmc/articles/PMC6661654/ /pubmed/31352417 http://dx.doi.org/10.1136/bmjopen-2018-028752 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Oncology
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
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6661654/
https://www.ncbi.nlm.nih.gov/pubmed/31352417
http://dx.doi.org/10.1136/bmjopen-2018-028752
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