Computed Tomography Scan and Clinical-based Complete Response Prediction in Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy: A Machine Learning Approach.

Journal: Journal of medical signals and sensors
Published Date: Dec 3, 2024

Abstract

BACKGROUND: Treatment of locally advanced rectal cancer (LARC) involves neoadjuvant chemoradiotherapy (nCRT), followed by total mesorectal excision. Examining the response to treatment is one of the most important factors in the follow-up of patients; therefore, in this study, radiomics patterns derived from pretreatment computed tomography images in rectal cancer and its relationship with treatment response measurement criteria have been investigated.

Authors

  • Seyyed Hossein Mousavie Anijdan
    Department of Radiation Technology, Faculty of Allied Medicine, Babol University of Medical Sciences, Babol, Iran.
  • Daryush Moslemi
    Department of Radiation Oncology, School of Medicine, Babol University of Medical Sciences, Babol, Iran.
  • Reza Reiazi
    Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Hamid Fallah Tafti
    Cancer Research Center, Babol University of Medical Sciences, Babol, Iran.
  • Ali Akbar Moghadamnia
    Department of Pharmacology and Toxicology, Babol University of Medical Sciences, Babol, Iran.
  • Reza Paydar
    Department of Radiation Sciences, School of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran.

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