Development and validation of novel radiomics-based nomograms for the prediction of EGFR mutations and Ki-67 proliferation index in non-small cell lung cancer

This publication has 51 references indexed in Scilit:

• Correlation of diffusion MRI with the Ki-67 index in non-small cell lung cancer
  Radiology and Oncology, 2015
• Tumour cell proliferation (Ki-67) in non-small cell lung cancer: a critical reappraisal of its prognostic role
  British Journal of Cancer, 2014
• Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
  Nature Communications, 2014
• Ki-67 is a strong prognostic marker of non-small cell lung cancer when tissue heterogeneity is considered
  BMC Clinical Pathology, 2014
• Clinical significance of Ki-67 and p53 expression in curatively resected non-small cell lung cancer
  Tumor Biology, 2014
• Radiomics: Extracting more information from medical images using advanced feature analysis
  European Journal of Cancer, 2012
• Erlotinib versus standard chemotherapy as first-line treatment for European patients with advanced EGFR mutation-positive non-small-cell lung cancer (EURTAC): a multicentre, open-label, randomised phase 3 trial
  The Lancet Oncology, 2012
• Strategies for subtypes—dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011
  Annals of Oncology, 2011
• Texture‐based classification of focal liver lesions on MRI at 3.0 Tesla: A feasibility study in cysts and hemangiomas
  Journal of Magnetic Resonance Imaging, 2010
• EGFR Mutations Predict Survival Benefit From Gefitinib in Patients With Advanced Lung Adenocarcinoma: A Historical Comparison of Patients Treated Before and After Gefitinib Approval in Japan
  Journal of Clinical Oncology, 2008