Exploring Deep Learning for Estimating the Isoeffective Dose of FLASH Irradiation From Mouse Intestinal Histological Images.

Journal: International journal of radiation oncology, biology, physics
Published Date: Jul 1, 2024

Abstract

PURPOSE: Ultrahigh-dose-rate (FLASH) irradiation has been reported to reduce normal tissue damage compared with conventional dose rate (CONV) irradiation without compromising tumor control. This proof-of-concept study aims to develop a deep learning (DL) approach to quantify the FLASH isoeffective dose (dose of CONV that would be required to produce the same effect as the given physical FLASH dose) with postirradiation mouse intestinal histology images.

Authors

  • Jie Fu
    David Geffen School of Medicine, University of California, Los Angeles, 10833 Le Conte Ave, Los Angeles, 90095, CA, USA.
  • Zi Yang
  • Stavros Melemenidis
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • Vignesh Viswanathan
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • Suparna Dutt
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • Rakesh Manjappa
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • Brianna Lau
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • Luis A Soto
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • M Ramish Ashraf
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • Lawrie Skinner
    Department of Radiation Oncology, Stanford University, Palo Alto 94304, United States of America.
  • Shu-Jung Yu
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • Murat Surucu
    Department of Radiation Oncology, Loyola University Medical Center, Maywood, IL, 60153, USA.
  • Kerriann M Casey
    Department of Comparative Medicine, Stanford University School of Medicine, Stanford, California.
  • Erinn B Rankin
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • Edward Graves
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • Weiguo Lu
    Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, United States of America.
  • Billy W Loo
    Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California.
  • Xuejun Gu
    Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, United States of America.

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