A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published Date: Jan 20, 2023

Abstract

BACKGROUND: The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are a first-line therapy for non-small cell lung cancer (NSCLC) with EGFR mutations. Approximately half of the patients with EGFR-mutated NSCLC are treated with EGFR-TKIs and develop disease progression within 1 year. Therefore, the early prediction of tumor progression in patients who receive EGFR-TKIs can facilitate patient management and development of treatment strategies. We proposed a deep learning approach based on both quantitative computed tomography (CT) characteristics and clinical data to predict progression-free survival (PFS) in patients with advanced NSCLC after EGFR-TKI treatment.

Authors

  • Chia-Feng Lu
    Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan.
  • Chien-Yi Liao
    Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Heng-Sheng Chao
    Department of Chest Medicine, Taipei Veteran General Hospital, Taipei, Taiwan.
  • Hwa-Yen Chiu
    Center of Sleep Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Ting-Wei Wang
    Department of Medical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Yen Lee
    Institute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Jyun-Ru Chen
    Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Tsu-Hui Shiao
    Department of Chest Medicine, Taipei Veteran General Hospital, Taipei, Taiwan.
  • Yuh-Min Chen
    Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Yu-Te Wu
    Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan. ytwu@ym.edu.tw.

Keywords

External Resources

Popular Topics
Recent Journals