ArticleActa oncologica (Stockholm, Sweden)2025
Cardiac CT reveals high prevalence of coronary artery disease in esophageal cancer eligible for radiotherapy.
Article in Acta oncologica (Stockholm, Sweden), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Abstract
backgroundAssessment of cardiac disease before cancer therapy is crucial, as advancements in cancer treatment have led to prolonged survival and an increase in cardiovascular complications. Specifically, esophageal cancer and heart disease share common risk factors, such as smoking and obesity. Radiation therapy (RT) for esophageal cancer is associated with elevated cardiac radiation exposure. This study aimed to assess the prevalence of coronary artery disease (CAD) in patients with esophageal cancer who were eligible for RT.
methodsWe examined the prevalence of coronary artery stenosis, abnormal myocardial perfusion, and late enhancement using pre-RT cardiac computed tomography (CT) data of 41 patients with thoracic esophageal cancer who were referred for RT between January 2017 and June 2023 and had no history of ischemic heart disease.
resultsThe median age of the 41 patients was 71 years, with 40 patients being male. Cardiac CT identified significant coronary stenosis (≥50% luminal narrowing) in 18 patients (44%), among whom 9 (50%) had severe stenosis, multivessel disease, or myocardial ischemia. Significant stenosis was most frequently observed in the left anterior descending artery (16/18). Late enhancement, indicating myocardial infarction, was observed in seven patients (17%).
interpretationPatients with esophageal cancer without a history of ischemic heart disease had a high prevalence (44%) of CAD, with half of them having severe stenosis, multivessel disease, or myocardial ischemia. Given the high prevalence of coronary stenosis, pre-treatment cardiac evaluation is crucial for patients with esophageal cancer. Incorporating cardiac CT findings into radiotherapy planning is recommended to optimize patient care.
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