Evidence map›Paper›PMID 33956083›Full record

ArticleJAMA oncology2021

Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients With Breast Cancer.

Roxanne Gal, Sanne G M van Velzen, Maartje J Hooning, Marleen J Emaus, Femke van der Leij, Madelijn L Gregorowitsch, Erwin L A Blezer, Sofie A M Gernaat, Nikolas Lessmann, Margriet G A Sattler and 12 more

Registry-linked trialOpen access · bronzeAbstract readMulticenter Study
In one paragraph

Article in JAMA oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03206333 (Automated Quantification of Coronary Artery Calcifications on Radiotherapy Planning CTs for Cardiovascular Risk Prediction in Breast Cancer Patients), which is not on this map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03206333 completednot on this map

Automated Quantification of Coronary Artery Calcifications on Radiotherapy Planning CTs for Cardiovascular Risk Prediction in Breast Cancer Patients: the BRAGATSTON Study

TypeobservationalSponsorUMC UtrechtRan2017 to 2020Enrolled16,000ConditionsBreast Cancer, Cardiovascular Diseases
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

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  14. Integrated Cardio-oncology Service.Cardiac failure review · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors at 9 institutions in 3 countries.

Roxanne GalDivision of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands.
Sanne G M van VelzenImage Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.
Maartje J HooningDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
Marleen J EmausDivision of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands.
Femke van der LeijDepartment of Radiation Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands.
Madelijn L GregorowitschDivision of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands.
Erwin L A BlezerDivision of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands.
Sofie A M GernaatClinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Karolinska University, Stockholm, Sweden.
Nikolas LessmannDepartment of Radiology and Nuclear Medicine, Radboudumc, Nijmegen, the Netherlands.
Margriet G A SattlerDepartment of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
Tim LeinerDepartment of Radiology, Utrecht University Medical Centre, University of Utrecht, Utrecht, the Netherlands.
Pim A de JongDepartment of Radiology, Utrecht University Medical Centre, University of Utrecht, Utrecht, the Netherlands.
Arco J TeskeDepartment of Cardiology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands.
Janneke VerloopDepartment of Research, Netherlands Comprehensive Cancer Organisation, Utrecht, the Netherlands.
Joan J PenninkhofDepartment of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
Ilonca VaartjesJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands.
Hanneke MeijerDepartment of Radiation Oncology, Radboudumc, Nijmegen, the Netherlands.
Julia J van Tol-GeerdinkDepartment of Radiation Oncology, Radboudumc, Nijmegen, the Netherlands.
Jean-Philippe PignolDepartment of Radiation Oncology, Dalhousie University, Halifax, Nova Scotia, Canada.
Desirée H J G van den BongardDepartment of Radiation Oncology, Amsterdam University Medical Centers, Amsterdam, the Netherlands.
Ivana IšgumImage Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.
Helena M VerkooijenDivision of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands.
Utrecht University · NLUniversity Medical Center Utrecht · NLErasmus MC Cancer Institute · NLRadboud University Nijmegen · NLUniversity of Amsterdam · NLAmsterdam University Medical Centers · NLDalhousie University · CAKarolinska Institutet · SENetherlands Comprehensive Cancer Organisation · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceCardiovascular disease (CVD) is common in patients treated for breast cancer, especially in patients treated with systemic treatment and radiotherapy and in those with preexisting CVD risk factors. Coronary artery calcium (CAC), a strong independent CVD risk factor, can be automatically quantified on radiotherapy planning computed tomography (CT) scans and may help identify patients at increased CVD risk.

objectiveTo evaluate the association of CAC with CVD and coronary artery disease (CAD) in patients with breast cancer. DESIGN, SETTING, AND

participantsIn this multicenter cohort study of 15 915 patients with breast cancer receiving radiotherapy between 2005 and 2016 who were followed until December 31, 2018, age, calendar year, and treatment-adjusted Cox proportional hazard models were used to evaluate the association of CAC with CVD and CAD. EXPOSURES: Overall CAC scores were automatically extracted from planning CT scans using a deep learning algorithm. Patients were classified into Agatston risk categories (0, 1-10, 11-100, 101-399, >400 units). MAIN OUTCOMES AND MEASURES: Occurrence of fatal and nonfatal CVD and CAD were obtained from national registries.

resultsOf the 15 915 participants included in this study, the mean (SD) age at CT scan was 59.0 (11.2; range, 22-95) years, and 15 879 (99.8%) were women. Seventy percent (n = 11 179) had no CAC. Coronary artery calcium scores of 1 to 10, 11 to 100, 101 to 400, and greater than 400 were present in 10.0% (n = 1584), 11.5% (n = 1825), 5.2% (n = 830), and 3.1% (n = 497) respectively. After a median follow-up of 51.2 months, CVD risks increased from 5.2% in patients with no CAC to 28.2% in patients with CAC scores higher than 400. After adjustment, CVD risk increased with higher CAC score (hazard ratio [HR]CAC = 1-10 = 1.1; 95% CI, 0.9-1.4; HRCAC = 11-100 = 1.8; 95% CI, 1.5-2.1; HRCAC = 101-400 = 2.1; 95% CI, 1.7-2.6; and HRCAC>400 = 3.4; 95% CI, 2.8-4.2). Coronary artery calcium was particularly strongly associated with CAD (HRCAC>400 = 7.8; 95% CI, 5.5-11.2). The association between CAC and CVD was strongest in patients treated with anthracyclines (HRCAC>400 = 5.8; 95% CI, 3.0-11.4) and patients who received a radiation boost (HRCAC>400 = 6.1; 95% CI, 3.8-9.7). CONCLUSIONS AND RELEVANCE: This cohort study found that coronary artery calcium on breast cancer radiotherapy planning CT scan results was associated with CVD, especially CAD. Automated CAC scoring on radiotherapy planning CT scans may be used as a fast and low-cost tool to identify patients with breast cancer at increased risk of CVD, allowing implementing CVD risk-mitigating strategies with the aim to reduce the risk of CVD burden after breast cancer.

trial registrationClinicalTrials.gov Identifier: NCT03206333.

Indexed as

Breast NeoplasmsCardiovascular DiseasesCoronary Artery DiseaseCohort StudiesFemaleHumansRisk FactorsTomography, X-Ray Computed

Identifiers

PMID33956083
PMCPMC8283560
OpenAlexW3158302787

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.