Coronary artery calcium measurement on attenuation correction computed tomography using artificial intelligence: correlation with coronary flow capacity and prognosis.

Journal: European journal of nuclear medicine and molecular imaging
PMID: 39404786

Abstract

PURPOSE: This study aimed to test whether the coronary artery calcium (CAC) burden on attenuation correction computed tomography (CTac), measured using artificial intelligence (AI-CACac), correlates with coronary flow capacity (CFC) and prognosis.

Authors

  • Sang-Geon Cho
    Department of Nuclear Medicine, Chonnam National University Hospital and Medical School, Gwangju, Republic of Korea.
  • Jong Eun Lee
    Department of Radiology, Chonnam National University Hospital, Gwangju, Republic of Korea.
  • Kyung Hoon Cho
    The Heart Center of Chonnam National University Hospital, 42 Jaebongro, Dong-gu, Gwangju 501-757, South Korea.
  • Ki-Seong Park
    Department of Nuclear Medicine, Chonnam National University Hospital, 42 Jaebong-ro, Dong-gu,, Gwangju , 501-757 Republic of Korea.
  • Jahae Kim
    Department of Nuclear Medicine, Chonnam National University Hospital and Medical School, Gwangju, Republic of Korea.
  • Jang Bae Moon
    Department of Nuclear Medicine, Chonnam National University Hospital and Medical School, Gwangju, Republic of Korea.
  • Kang Bin Kim
    Department of Nuclear Medicine, Chonnam National University Hospital and Medical School, Gwangju, Republic of Korea.
  • Ju Han Kim
    Department of Cardiovascular Medicine, Chonnam National University Hospital, Gwangju, Korea.
  • Ho-Chun Song
    Department of Nuclear Medicine, Chonnam National University Hospital and Medical School, Gwangju, Republic of Korea. songhc@jnu.ac.kr.

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