Evaluation of Neoadjuvant Chemoradiotherapy Response in Rectal Cancer Using MR Images and Deep Learning Neural Networks.

Journal: Current medical imaging
PMID: 38874041

Abstract

INTRODUCTION: The aim of the study was to develop deep-learning neural networks to guide treatment decisions and for the accurate evaluation of tumor response to neoadjuvant chemoradiotherapy (nCRT) in rectal cancer using magnetic resonance (MR) images.

Authors

  • Eda Cingoz
    Department of Radiology, Bagcilar Training and Research Hospital, Istanbul, Turkey.
  • Gokhan Ertas
    Department of Biomedical Engineering, Yeditepe University, Istanbul, Turkey.
  • Gizem Kaval
    Department of Radiation Oncology, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey.
  • Sena Azamat
    Department of Radiology, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey.
  • Sule Karaman
    Department of Radiation Oncology, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey.
  • Cemil Burak Kulle
    Department of General Surgery, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey.
  • Neslihan Berker
    Department of Pathology, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey.
  • Mehmet Cingöz
    Department of Radiology, Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey.
  • Nergiz Dagoglu Sakin
    Department of Radiation Oncology, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey.
  • Rana Gunoz Comert
    Department of Radiology, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey.
  • Melek Buyuk
    Department of Pathology, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey.
  • Merve Gulbiz Dagoglu Kartal
    Department of Radiology, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey.

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