Predictive value of magnetic resonance imaging diffusion parameters using artificial intelligence in low-and intermediate-risk prostate cancer patients treated with stereotactic ablative radiotherapy: A pilot study.

Journal: Radiography (London, England : 1995)
PMID:

Abstract

INTRODUCTION: To investigate the predictive value of the pre-treatment diffusion parameters of diffusion-weighted magnetic resonance imaging (DW-MRI) using artificial intelligence (AI) for prostate-specific antigen (PSA) response in patients with low- and intermediate-risk prostate cancer (PCa) treated with stereotactic ablative radiotherapy (SABR).

Authors

  • A Kedves
    "Moritz Kaposi" Teaching Hospital, Dr. József Baka Diagnostic, Radiation Oncology, Research and Teaching Center, Kaposvár, Hungary; Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Pécs, Hungary; Doctoral School of Health Sciences, University of Pécs, Pécs, Hungary.
  • M Akay
    Department of Biomedical Engineering, University of Houston, Houston, TX, USA.
  • Y Akay
    Department of Biomedical Engineering, University of Houston, Houston, TX, USA.
  • K Kisiván
    "Moritz Kaposi" Teaching Hospital, Dr. József Baka Diagnostic, Radiation Oncology, Research and Teaching Center, Kaposvár, Hungary.
  • C Glavák
    "Moritz Kaposi" Teaching Hospital, Dr. József Baka Diagnostic, Radiation Oncology, Research and Teaching Center, Kaposvár, Hungary.
  • Á Miovecz
    "Moritz Kaposi" Teaching Hospital, Dr. József Baka Diagnostic, Radiation Oncology, Research and Teaching Center, Kaposvár, Hungary; Doctoral School of Health Sciences, University of Pécs, Pécs, Hungary.
  • Á Schiffer
    Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Pécs, Hungary.
  • Z Kisander
    Department of Electrical Networks, Faculty of Engineering and Information Technology, University of Pécs, Pécs, Hungary.
  • A Lőrincz
    Institute of Information and Electrical Technology, Faculty of Engineering and Information Technology, University of Pécs, Pécs, Hungary; Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.
  • A Szőke
    3D Printing and Visualization Centre, Medical School, University of Pécs, Pécs, Hungary.
  • B Sánta
    Röntgenpraxis Dr. Thomas Trieb, Innsbruck, Austria.
  • O Freihat
    College of Health Sciences, Abu Dhabi University, Abu Dhabi, UAE.
  • D Sipos
    "Moritz Kaposi" Teaching Hospital, Dr. József Baka Diagnostic, Radiation Oncology, Research and Teaching Center, Kaposvár, Hungary; Institute of Diagnostics, Faculty of Health Sciences, University of Pécs, Pécs, Hungary.
  • Á Kovács
    Doctoral School of Health Sciences, University of Pécs, Pécs, Hungary; Institute of Diagnostics, Faculty of Health Sciences, University of Pécs, Pécs, Hungary; Department of Oncoradiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • F Lakosi
    "Moritz Kaposi" Teaching Hospital, Dr. József Baka Diagnostic, Radiation Oncology, Research and Teaching Center, Kaposvár, Hungary; Doctoral School of Health Sciences, University of Pécs, Pécs, Hungary; Institute of Diagnostics, Faculty of Health Sciences, University of Pécs, Pécs, Hungary. Electronic address: lakosiferenc@yahoo.com.