Prediction of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer by using a deep learning model with 18F-FDG PET/CT.

Journal: PloS one
Published Date: Sep 14, 2023

Abstract

OBJECTIVES: The aim of the study is 18F-FDG PET/CT imaging by using deep learning method are predictive for pathological complete response pCR after Neoadjuvant chemotherapy (NAC) in locally advanced breast cancer (LABC).

Authors

  • Gülcan Bulut
    Division of Medical Oncology, International Medicana Hospital, Izmir, Turkey.
  • Hasan Ikbal Atilgan
    Department of Nuclear Medicine, Mustafa Kemal University Medical School, Hatay, Turkey.
  • Gökalp Çınarer
    Department of Computer Engineering, Faculty of Engineering and Architecture, Bozok University, Yozgat, Turkey.
  • Kazım Kılıç
    Department of Computer Programming, Yozgat Vocational High School, Bozok University, Yozgat, Turkey.
  • Deniz Yıkar
    Division of Nuclear Medicine, Hatay Training and Research Hospital, Hatay, Turkey.
  • Tuba Parlar
    Department of Computer Technologies, Mustafa Kemal University, Hatay, Türkiye.

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