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The 3C dataset: A comprehensive dataset for COVID-19 cardiac complications diagnosis

Narjes Benameur1, Ramzi Mahmoudi2,3, Mohamed Deriche4

  • 1University of Tunis El Manar, Higher Institute of Medical Technologies of Tunis, Laboratory of Biophysics and Medical Technology, Tunis, Tunisia.

Data in Brief
|May 22, 2026
PubMed

Insights

This study introduces the Cardiac-CT-COVID-19 (3C) dataset, a public cardiac CT scan database. It aids research into cardiovascular complications following Coronavirus Disease 2019 (COVID-19) infection.

Area of Science:

  • Cardiology
  • Radiology
  • Medical Imaging

Background:

  • Coronavirus Disease 2019 (COVID-19) is linked to severe cardiovascular complications.
  • A lack of annotated medical imaging datasets hinders research on early detection and prediction of post-COVID cardiac issues.
  • Existing research on COVID-19 cardiovascular disease lacks comprehensive imaging data.

Purpose of the Study:

  • To introduce the Cardiac-CT-COVID-19 (3C) dataset, a public benchmark database.
  • To provide expert-annotated cardiac CT scans for COVID-19 patients with and without cardiovascular complications.
  • To support research on early detection, prediction, and characterization of cardiac abnormalities in COVID-19 patients.

Main Methods:

  • Compiled a dataset of cardiac CT scans from 134 COVID-19 positive patients.
  • Annotated scans with pixel-level delineations of cardiac structures and pathologies by two expert radiologists.
  • Included a normalized severity grading scale for cardiovascular manifestations and demographic/clinical metadata.

Main Results:

  • The 3C dataset is the first public database with expert-validated annotations linking COVID-19 to cardiac abnormalities on CT scans.
  • The dataset includes detailed annotations of myocardial scarring and pericardial effusion.
  • Provides a benchmark for automated detection and characterization of COVID-19-related cardiovascular manifestations.

Conclusions:

  • The 3C dataset addresses the critical need for annotated cardiac imaging data in COVID-19 research.
  • It serves as a valuable resource for developing and validating AI models for cardiovascular complication analysis.
  • Facilitates advancements in understanding and managing long-term cardiac health after COVID-19.

Keywords:
Cardiac ct imagingCardiovascular complicationsCovid-19Open-access dataset

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