Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study.

Journal: European journal of nuclear medicine and molecular imaging
Published Date:

Abstract

PURPOSE: Artificial neural networks (ANN) might help to diagnose coronary artery disease. This study aimed to determine whether the diagnostic accuracy of an ANN-based diagnostic system and conventional quantitation are comparable.

Authors

  • Kenichi Nakajima
    Department of Nuclear Medicine, Kanazawa University Hospital.
  • Takashi Kudo
    Nagasaki University Hospital, Nagasaki, Japan.
  • Tomoaki Nakata
    Hakodate Goryoukaku Hospital, Hakodate, Japan.
  • Keisuke Kiso
    National Cerebral and Cardiovascular Center, Suita, Japan.
  • Tokuo Kasai
    Tokyo Medical University Hachioji Medical Center, Hachioji, Japan.
  • Yasuyo Taniguchi
    Hyogo Brain and Heart Center, Himeji, Japan.
  • Shinro Matsuo
  • Mitsuru Momose
    Tokyo Women's Medical University, Tokyo, Japan.
  • Masayasu Nakagawa
    Akita City Hospital, Akita, Japan.
  • Masayoshi Sarai
    Fujita Health University Hospital, Toyoake, Japan.
  • Satoshi Hida
    Tokyo Medical University Hospital, Tokyo, Japan.
  • Hirokazu Tanaka
    School of Information Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa 923-1211, Japan. Electronic address: hirokazu@jaist.ac.jp.
  • Kunihiko Yokoyama
  • Koichi Okuda
  • Lars Edenbrandt
    Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.