Artificial intelligence-assisted longitudinal assessment of coronary artery calcification in the Korean lung cancer screening CT program.

Journal: Clinical imaging
Published Date: Jul 6, 2025

Abstract

PURPOSE: The clinical implications of coronary artery calcification (CAC) growth remain underexplored. This study aims to assess CAC growth and its association with adverse cardiovascular events (ACEs) in individuals undergoing lung cancer screening (LCS) using artificial intelligence (AI)-assisted evaluation.

Authors

  • Eun-Ju Kim
    Department of Radiology, Chonnam National University Medical School and Chonnam National University Hwasun Hospital, Hwasun, Republic of Korea.
  • Seong Woo Cho
    Department of Radiology, Armed Forces Daejeon Hospital, Daejeon, Republic of Korea.
  • Jung-Ho Yang
    Department of Preventive Medicine, Chonnam National University Medical School, Hwasun and Chonnam national university hospital, Gwangju, Republic of Korea.
  • Won Gi Jeong
    From the Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (E.J.H., S.H.Y.); Department of Radiology, Chonnam National University Hwasun Hospital, Hwasun, Korea (W.G.J.); Faculty of Pharmacy, University of Montréal, Montréal, Canada (P.M.D.); OBVIA-Observatoire sur les Impacts Sociétaux de l'IA et du Numérique, Québec, Canada (P.M.D.); and FIND-The Global Alliance for Diagnostics, Geneva, Switzerland (M.A., M.R.).

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