Enhanced Diagnosis of Plaque Erosion by Deep Learning in Patients With Acute Coronary Syndromes.

Journal: JACC. Cardiovascular interventions
PMID: 36265933

Abstract

BACKGROUND: Acute coronary syndromes caused by plaque erosion might be potentially managed conservatively without stenting. Currently, the diagnosis of plaque erosion requires expertise in optical coherence tomographic (OCT) image interpretation. In addition, the current deep learning (DL) approaches for OCT image interpretation are based on a single frame, without integrating the information from adjacent frames.

Authors

  • Sangjoon Park
  • Makoto Araki
    Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Akihiro Nakajima
    Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Hang Lee
    Biostatistics Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Valentín Fuster
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; The Zena and Michael A. Wiener Cardiovascular Institute/Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, New York. Electronic address: vfuster@cnic.es.
  • Jong Chul Ye
  • Ik-Kyung Jang
    Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, USA.

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