Differentiation between normal and abnormal kidneys using Tc-DMSA SPECT with deep learning in paediatric patients.

Journal: Clinical radiology
Published Date: May 13, 2023

Abstract

AIM: To investigate the feasibility of using deep learning (DL) to differentiate normal from abnormal (or scarred) kidneys using technetium-99m dimercaptosuccinic acid (Tc-DMSA) single-photon-emission computed tomography (SPECT) in paediatric patients.

Authors

  • C Lin
    Department of Nuclear Medicine, Chang Gung Memorial Hospital, No. 5, Fuxing Street, Gueishan Dist., Taoyuan, 33305, Taiwan.
  • Y-C Chang
    Department of Nuclear Medicine, Chang Gung Memorial Hospital, No. 5, Fuxing Street, Gueishan Dist., Taoyuan, 33305, Taiwan; Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, No. 259, Wenhua 1st Rd., Guishan Dist., Taoyuan, 33302, Taiwan.
  • H-Y Chiu
    Department of Nuclear Medicine, Chang Gung Memorial Hospital, No. 5, Fuxing Street, Gueishan Dist., Taoyuan, 33305, Taiwan.
  • C-H Cheng
    Department of Paediatrics, Chang Gung University, No. 259, Wenhua 1st Rd, Guishan Dist., Taoyuan, 33302, Taiwan; Department of Paediatrics, Chang Gung Memorial Hospital, No. 5, Fuxing Street, Gueishan Dist., Taoyuan, 33305, Taiwan.
  • H-M Huang
    Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, No.1, Sec. 1, Jen Ai Rd, Zhongzheng Dist., Taipei City, 100, Taiwan. Electronic address: b9003205@gmail.com.

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