Prospective Validation of Vesical Imaging-Reporting and Data System Using a Next-Generation Magnetic Resonance Imaging Scanner-Is Denoising Deep Learning Reconstruction Useful?

Journal: The Journal of urology
PMID: 33021428

Abstract

PURPOSE: The Vesical Imaging Reporting and Data System (VI-RADS) was launched in 2018 to standardize reporting of magnetic resonance imaging for bladder cancer. This study aimed to prospectively validate VI-RADS using a next-generation magnetic resonance imaging scanner and to investigate the usefulness of denoising deep learning reconstruction.

Authors

  • Satoru Taguchi
    Department of Urology, Kyorin University School of Medicine, 6-20-2 Shinkawa, Mitaka, Tokyo, Japan.
  • Mitsuhiro Tambo
    Department of Urology, Kyorin University School of Medicine, 6-20-2 Shinkawa, Mitaka, Tokyo, Japan.
  • Masanaka Watanabe
    Department of Urology, Kyorin University School of Medicine, Tokyo, Japan.
  • Haruhiko Machida
    Department of Radiology, Kyorin University School of Medicine, Tokyo, Japan.
  • Toshiya Kariyasu
    Department of Radiology, Kyorin University School of Medicine, Tokyo, Japan.
  • Keita Fukushima
    Department of Radiology, Kyorin University School of Medicine, Tokyo, Japan.
  • Yuta Shimizu
    Department of Radiology, Kyorin University School of Medicine, Tokyo, Japan.
  • Takatsugu Okegawa
    Department of Urology, Kyorin University School of Medicine, 6-20-2 Shinkawa, Mitaka, Tokyo, Japan.
  • Kenichi Yokoyama
    Department of Radiology, Kyorin University School of Medicine, Tokyo, Japan.
  • Hiroshi Fukuhara
    Department of Urology, Kyorin University School of Medicine, 6-20-2 Shinkawa, Mitaka, Tokyo, Japan.

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