Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT.

Journal: Annals of nuclear medicine
Published Date: Feb 1, 2019

Abstract

OBJECTIVES: The patient-based diagnosis with an artificial neural network (ANN) has shown potential utility for the detection of coronary artery disease; however, the region-based accuracy of the detected regions has not been fully evaluated. The aim of this study was to demonstrate the accuracy of all detected regions compared with expert interpretation.

Authors

  • Takayuki Shibutani
    Department of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 5-11-80, Kodatsuno, Kanazawa, Ishikawa, Japan. iwsb03100621@staff.kanazawa-u.ac.jp.
  • Kenichi Nakajima
    Department of Nuclear Medicine, Kanazawa University Hospital.
  • Hiroshi Wakabayashi
  • Hiroshi Mori
    Department of Nuclear Medicine, Kanazawa University Hospital, Kanazawa, Japan.
  • Shinro Matsuo
  • Hiroto Yoneyama
    Department of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan.
  • Takahiro Konishi
    Department of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan.
  • Koichi Okuda
  • Masahisa Onoguchi
    Department of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 5-11-80, Kodatsuno, Kanazawa, Ishikawa, Japan.
  • Seigo Kinuya

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