Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands.
Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.
JAMA Oncol. 2021 Jul 1;7(7):1024-1032. doi: 10.1001/jamaoncol.2021.1144.
Cardiovascular 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.
To evaluate the association of CAC with CVD and coronary artery disease (CAD) in patients with breast cancer.
DESIGN, SETTING, AND PARTICIPANTS: In 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.
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).
Occurrence of fatal and nonfatal CVD and CAD were obtained from national registries.
Of 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).
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.
ClinicalTrials.gov Identifier: NCT03206333.
心血管疾病(CVD)在接受乳腺癌治疗的患者中很常见,尤其是接受全身治疗和放疗的患者,以及存在预先存在的 CVD 风险因素的患者。冠状动脉钙(CAC)是一种强烈的独立 CVD 风险因素,可在放疗计划 CT 扫描上自动定量,并有助于识别 CVD 风险增加的患者。
评估 CAC 与乳腺癌患者 CVD 和冠心病(CAD)的相关性。
设计、地点和参与者:在这项对 2005 年至 2016 年间接受放疗的 15915 例乳腺癌患者的多中心队列研究中,这些患者在 2018 年 12 月 31 日之前接受随访,使用年龄、日历年和治疗调整的 Cox 比例风险模型评估 CAC 与 CVD 和 CAD 的相关性。
使用深度学习算法从计划 CT 扫描中自动提取总 CAC 评分。患者分为 Agatston 风险类别(0、1-10、11-100、101-399、>400 单位)。
从国家登记处获得致命和非致命 CVD 和 CAD 的发生情况。
在这项研究中,15915 名参与者的 CT 扫描平均(SD)年龄为 59.0(11.2;范围,22-95)岁,15879 名(99.8%)为女性。70%(n=11979)无 CAC。CAC 评分 1 至 10、11 至 100、101 至 400 和大于 400 分别为 10.0%(n=1584)、11.5%(n=1825)、5.2%(n=830)和 3.1%(n=497)。在中位随访 51.2 个月后,无 CAC 的患者 CVD 风险从 5.2%增加到 CAC 评分大于 400 的患者的 28.2%。调整后,CAC 评分越高,CVD 风险越高(HR CAC=1-10=1.1;95%CI,0.9-1.4;HR CAC=11-100=1.8;95%CI,1.5-2.1;HR CAC=101-400=2.1;95%CI,1.7-2.6;HR CAC>400=3.4;95%CI,2.8-4.2)。冠状动脉钙与 CAD 尤其密切相关(HR CAC>400=7.8;95%CI,5.5-11.2)。在接受蒽环类药物治疗的患者(HR CAC>400=5.8;95%CI,3.0-11.4)和接受放疗增强的患者(HR CAC>400=6.1;95%CI,3.8-9.7)中,CAC 与 CVD 的相关性最强。
这项队列研究发现,乳腺癌放疗计划 CT 扫描上的冠状动脉钙与 CVD 尤其是 CAD 有关。放疗计划 CT 扫描上自动 CAC 评分可能被用作一种快速且低成本的工具,以识别 CVD 风险增加的乳腺癌患者,从而实施 CVD 风险缓解策略,旨在降低乳腺癌后 CVD 负担的风险。
ClinicalTrials.gov 标识符:NCT03206333。