An Artificial Intelligence Model Using Diffusion Basis Spectrum Imaging Metrics Accurately Predicts Clinically Significant Prostate Cancer.

Abstract

Authors

• Eric H Kim
  Division of Urology, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri.
• Huaping Jing
  Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri.
• Kainen L Utt
  Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri.
• Joel M Vetter
  School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
• R Cody Weimholt
  Department of Pathology, Washington University School of Medicine, St Louis, Missouri.
• Arnold D Bullock
  Division of Urology, Department of Surgery, Washington University School of Medicine, St Louis, Missouri.
• Alexandra P Klim
  Division of Urology, Department of Surgery, Washington University School of Medicine, St Louis, Missouri.
• Karla A Bergeron
  Division of Urology, Department of Surgery, Washington University School of Medicine, St Louis, Missouri.
• Jason K Frankel
  Kaiser Permanente, The Permanente Medical Group, Walnut Creek, California.
• Zachary L Smith
  Division of Urologic Surgery, Washington University School of Medicine, 4960 Children's Place, Campus Box 8242, St. Louis, MO, 63110, USA.
• Gerald L Andriole
  Prostatype Genomics, Solna, Sweden.
• Sheng-Kwei Song
  Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, 63110.
• Joseph E Ippolito
  Washington University School of Medicine, 660 S Euclid Ave, Campus, Box 8131, St Louis, MO, 63110, USA.

Keywords

External Resources