Deep Learning Based on Enhanced MRI T1 Imaging to Differentiate Small-cell and Non-small-cell Primary Lung Cancers in Patients with Brain Metastases.

Journal: Current medical imaging
Published Date: Jan 1, 2023

Abstract

OBJECTIVES: To differentiate the primary small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC) for patients with brain metastases (BMs) based on a deep learning (DL) model using contrast-enhanced magnetic resonance imaging (MRI) T1 weighted (T1CE) images.

Authors

  • Lianyu Sui
    Department of Radiology, Affiliated Hospital of Hebei University, Baoding, Hebei 071002, China.
  • Shilong Chang
    College of Quality and Technical Supervision, Hebei University, Baoding 071002, Hebei, China.
  • Linyan Xue
    School of Quality and Technical Supervision, Hebei University, Baoding, Hebei 071002, P.R.China.
  • Jianing Wang
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA. Electronic address: jianing.wang@vanderbilt.edu.
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Kun Yang
    Department of Bone and Joint Surgery, Affiliated Hospital of Southwest Medical University, Luzhou Sichuan, 646000, P.R.China.
  • Bu-Lang Gao
    Department of Radiology, Third Hospital of Hebei Medical University, Hebei Province, Shijiazhuang, 050000, People's Republic of China.
  • Xiaoping Yin
    CT-MRI Room, Affiliated Hospital of Hebei University, Baoding, Hebei, China.

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