ArticleData in brief2026
The 3C dataset: A comprehensive dataset for COVID-19 cardiac complications diagnosis.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Coronavirus Disease 2019 (or commonly called COVID-19) infections have been associated with numerous severe cardiovascular complications, including myocardial infarction, myocarditis, and arrhythmias, which pose significant risks to long-term cardiac health. Despite extensive research on COVID-19-related cardiovascular diseases, there remains a shortage of curated, annotated medical imaging datasets to support studies on the early detection or prediction of post-COVID cardiac complications. To address this gap, we introduce the 3C dataset (Cardiac-CT-COVID-19), a public benchmark database of cardiac computed tomography (CT) scans from 134 COVID-19-positive patients, including cases both with and without documented cardiovascular complications. All scans were annotated by two radiologists with expertise in cardiothoracic imaging, incorporating (1) pixel-level delineations of cardiac structures and pathological findings (e.g., myocardial scarring and pericardial effusion), and (2) a normalized severity grading scale for cardiovascular manifestations. The dataset also includes demographic and clinical metadata to support holistic analysis. The 3C dataset is the first to offer detailed, expert-validated annotations that link COVID-19 infection to specific cardiac abnormalities observed in CT scans. The database is expected to provide an excellent benchmark for researchers working on tasks such as automated detection, prediction, and characterization of diverse cardiovascular manifestations secondary to COVID-19.
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