Department of Radiology, Tri-Service General Hospital, National Defense Medical Centre, Taipei, Taiwan.
Graduate Institute of Life Sciences, National Defense Medical Centre, Taipei, Taiwan; School of Public Health, National Defense Medical Centre, Taipei, Taiwan; Medical Technology Education Center, School of Medicine, National Defense Medical Centre, Taipei, Taiwan.
Can J Cardiol. 2022 Jun;38(6):763-773. doi: 10.1016/j.cjca.2021.12.019. Epub 2022 Jan 7.
Assessment of left ventricular systolic dysfunction provides essential information related to the prognosis and management of cardiovascular diseases. The aim of this study was to develop a deep-learning model to identify left ventricular ejection fraction (LVEF) ≤ 35% via chest X-ray (CXR [CXR-EF≤35%]) features and investigate the performance and clinical implications.
This study collected 90,547 CXRs with the corresponding LVEF according to transthoracic echocardiography from the outpatient department in an academic medical center. Among these, 77,227 CXRs were used to develop the identification of CXR-EF≤35%. Another 13,320 CXRs were used to validate the performance, which was evaluated by area under the receiver operating characteristic curve (AUC). Furthermore, CXR-EF≤35% was tested to assess the long-term risks of developing LVEF ≤ 35% and cardiovascular outcomes, which were evaluated by Kaplan-Meier survival analysis and the Cox proportional hazards model.
The AUCs of CXR-EF≤35% for the detection of LVEF ≤ 35% were 0.888 and 0.867 in the internal and external validation cohorts, respectively. Patients with baseline LVEF > 50% but detected as CXR-EF≤35% were at higher risk of long-term development of LVEF ≤ 35% (hazard ratio, internal validation cohort [HR] 3.91, 95% CI 2.98-5.14; hazard ratio, external validation cohort [HR] 2.49, 95% CI 1.89-3.27). Furthermore, patients detected as LVEF ≤ 35% by CXR-EF≤35% had significantly higher future risks of all-cause mortality (HR 1.40, 95% CI 1.15-1.71; HR 1.38, 95% CI 1.15-1.66), cardiovascular mortality (HR 3.02, 95% CI 1.84-4.98; HR 2.60, 95% CI 1.77-3.82), and new-onset atrial fibrillation (HR 2.81, 95% CI 2.15-3.66; HR 2.93, 95% CI 2.34-3.67) compared with those detected as no LVEF ≤ 35%.
CXR-EF≤35% may serve as a screening tool for early detection of LVEF ≤ 35% and could independently contribute to predictions of long-term development of LVEF ≤ 35% and cardiovascular outcomes. Further prospective studies are needed to confirm the model performance.
左心室收缩功能障碍的评估提供了与心血管疾病预后和管理相关的重要信息。本研究旨在开发一种深度学习模型,通过胸部 X 光(CXR [CXR-EF≤35%])特征识别左心室射血分数(LVEF)≤35%,并探讨其性能和临床意义。
本研究从学术医疗中心的门诊部门收集了 90547 份有相应 LVEF 的 CXR。其中,77227 份 CXR 用于开发识别 CXR-EF≤35%。另外 13320 份 CXR 用于验证性能,通过接受者操作特征曲线下面积(AUC)进行评估。此外,还测试了 CXR-EF≤35%,以评估其对 LVEF≤35%和心血管结局的长期风险,通过 Kaplan-Meier 生存分析和 Cox 比例风险模型进行评估。
CXR-EF≤35%在内部和外部验证队列中检测 LVEF≤35%的 AUC 分别为 0.888 和 0.867。基线 LVEF>50%但检测为 CXR-EF≤35%的患者发生 LVEF≤35%的长期风险更高(内部验证队列的危险比[HR]3.91,95%CI 2.98-5.14;外部验证队列的 HR 2.49,95%CI 1.89-3.27)。此外,通过 CXR-EF≤35%检测为 LVEF≤35%的患者未来发生全因死亡率(HR 1.40,95%CI 1.15-1.71;HR 1.38,95%CI 1.15-1.66)、心血管死亡率(HR 3.02,95%CI 1.84-4.98;HR 2.60,95%CI 1.77-3.82)和新发心房颤动(HR 2.81,95%CI 2.15-3.66;HR 2.93,95%CI 2.34-3.67)的风险显著高于未检测到 LVEF≤35%的患者。
CXR-EF≤35%可作为早期检测 LVEF≤35%的筛查工具,可独立预测 LVEF≤35%的长期发展和心血管结局。需要进一步的前瞻性研究来确认模型性能。