Impact of Field-of-view Zooming and Segmentation Batches on Radiomics Features Reproducibility and Machine Learning Performance in Thyroid Scintigraphy.

Journal: Clinical nuclear medicine
Published Date: Jun 17, 2025

Abstract

BACKGROUND: Thyroid diseases are the second most common hormonal disorders, necessitating accurate diagnostics. Advances in artificial intelligence and radiomics have enhanced diagnostic precision by analyzing quantitative imaging features. However, reproducibility challenges arising from factors such as the field-of-view (FOV) zooming and segmentation variability limit the clinical application of radiomic-based models.

Authors

  • Soroush Bagheri
    Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Ghasem Hajianfar
    Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Science, Tehran, Iran.
  • Maziar Sabouri
    Department of Medical Physics, School of Medicine, Iran University of Medical Science, Tehran, Iran; Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Omid Gharibi
    Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.
  • Babak Yazdani
    Department of Nuclear Medicine, Namazi Hospital, School of Medicine, Shiraz University of Medical Sciences, Shiraz.
  • Atena Aghaee
    Department of Nuclear Medicine, Research Center, Mashhad University of Medical Sciences, Mashhad.
  • Ali Mohammad Nickfarjam
    Health Information Management Research Center, Department of Health Information Management & Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran.
  • Akram Yazdani
    Autoimmune Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran.
  • Akbar Aliasgharzadeh
    Department of Medical Physics and Radiology, Faculty of Paramedical Sciences, Kashan University of Medical Sciences, Kashan, Iran.
  • Habiballah Moradi
    Department of Medical Physics and Radiology, Faculty of Paramedical Sciences, Kashan University of Medical Sciences, Kashan, Iran.
  • Arman Rahmim
  • Habib Zaidi
    Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland. habib.zaidi@hcuge.ch.

Keywords

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