Multi-center, multi-vendor validation of deep learning-based attenuation correction in SPECT MPI: data from the international flurpiridaz-301 trial.

Journal: European journal of nuclear medicine and molecular imaging
Published Date: Mar 1, 2023

Abstract

PURPOSE: Although SPECT myocardial perfusion imaging (MPI) is susceptible to artifacts from soft tissue attenuation, most scans are performed without attenuation correction. Deep learning-based attenuation corrected (DLAC) polar maps improved diagnostic accuracy for detection of coronary artery disease (CAD) beyond non-attenuation-corrected (NAC) polar maps in a large single center study. However, the generalizability of this approach to other institutions with different scanner models and protocols is uncertain. In this study, we evaluated the diagnostic performance of DLAC compared to NAC for detection of CAD as defined by invasive coronary angiography (ICA) in a large multi-center trial.

Authors

  • Tomoe Hagio
    INVIA Medical Imaging Solutions, 3025 Boardwalk St, Suite 200, Ann Arbor, MI, 48108, USA. thagio@inviasolutions.com.
  • Jonathan B Moody
  • Alexis Poitrasson-Rivière
    INVIA Medical Imaging Solutions, 3025 Boardwalk St, Suite 200, Ann Arbor, MI, 48108, USA.
  • Jennifer M Renaud
    INVIA Medical Imaging Solutions, 3025 Boardwalk St, Suite 200, Ann Arbor, MI, 48108, USA.
  • Lora Pierce
    GE Healthcare, 251 Locke Drive, Marlboro MA, USA.
  • Christopher Buckley
    GE Healthcare, Pollards Wood, Buckinghamshire, HP8 4SP, UK.
  • Edward P Ficaro
    INVIA Medical Imaging Solutions, 3025 Boardwalk St, Suite 200, Ann Arbor, MI, 48108, USA.
  • Venkatesh L Murthy
    Department of Cardiology, University of Michigan, Ann Arbor.

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