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.
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.
What it found
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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.
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.
Automated Quantification of Coronary Artery Calcifications on Radiotherapy Planning CTs for Cardiovascular Risk Prediction in Breast Cancer Patients: the BRAGATSTON Study
Who cites it
55 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- [Breast cancer survivor program: follow-up, rehabilitation, psycho-oncology, palliative care].Magyar onkologia · 2025Guideline
- Trial
- Mapping patients' and professionals' perceptions of artificial intelligence in radiotherapy: a scoping review.Technical innovations & patient support in radiation oncology · 2026Review
- Review
- Development and Validation of a Thoracic Aortic Calcification-Based Nomogram for Early Myocardial Injury in Breast Cancer Patients.Journal of cardiovascular development and disease · 2026Article
- Genetic risk stratification of common diseases in breast cancer survivors: a population-based cohort study.JNCI cancer spectrum · 2026Article
- Multimodality imaging in the detection and management of coronary and peripheral arterial disease in patients with cancer receiving cardiotoxic antineoplastic treatments: A clinical consensus statement of the ESC Council of Cardio-Oncology and the European Association of Cardiovascular Imaging (EACVI) of the ESC.European heart journal. Cardiovascular Imaging · 2026Review
- Perspectives on artificial intelligence-generated chronic disease risk predictions in early breast cancer: an international survey among radiation oncologists.Acta oncologica (Stockholm, Sweden) · 2026Article
- Heart Substructure Radiation Dose and Cardiac Outcomes: Contemporary Evidence and Actionable Opportunities: JACC CardioOncology State-of-the-Art Review.JACC. CardioOncology · 2026Review
- Incidental Detection of Coronary Artery Calcification in Women Undergoing Cancer Screening or Treatment.Current atherosclerosis reports · 2026Review
- Artificial Intelligence and the Expanding Universe of Cardio-Oncology: Beyond Detection Toward Prediction and Prevention of Therapy-Related Cardiotoxicity-A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2026Review
- Vascular calcifications in early-breast radiotherapy planning-CT: Opportunistic detection and cardiovascular risk assessment.Clinical and translational radiation oncology · 2026Article
- Prognostication and clinical opportunities with AI for coronary artery calcium: a scoping review.BMJ digital health & AI · 2026Article
- Integrated Cardio-oncology Service.Cardiac failure review · 2026Review
- Evidence of different predictors for different types of cardiotoxicities after hypo-fractionated whole breast radiotherapy.Frontiers in oncology · 2026Article
- Association between cardiac radiation dose and coronary artery calcification progression in breast cancer patients after radiotherapy: the modifying role of concomitant systemic inflammation (BACCARAT study).Cardio-oncology (London, England) · 2025Article
- [5th Hungarian Breast Cancer Consensus Conference - radiotherapy guidelines].Magyar onkologia · 2025Article
- Attitudes toward AI-generated risk prediction in patients with early breast cancer: an international multicenter survey.Acta oncologica (Stockholm, Sweden) · 2025Article
- Diagnosis, clinical management, and emerging strategies for coronary artery disease in patients with cancer.American heart journal plus : cardiology research and practice · 2025Review
- Primary prevention of cardiotoxicity in cancer patients treated with fluoropyrimidines: a randomized controlled trial.Cardio-oncology (London, England) · 2025Article
Corrections and comments
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Authors and funding
22 authors at 9 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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