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Utility of CT radiomics for prediction of PD-L1 expression in advanced lung adenocarcinomas.

Jiyoung YoonYoung Joo SuhKyunghwa HanHyoun ChoHye-Jeong LeeJin HurByoung Wook Choi
Published in: Thoracic cancer (2020)
Significant findings of the study Quantitative CT radiomic features can help predict PD-L1 expression, whereas none of the qualitative imaging findings is associated with PD-L1 positivity. What this study adds A prediction model composed of clinical variables and CT radiomic features may facilitate noninvasive assessment of PD-L1 expression.
Keyphrases
  • contrast enhanced
  • computed tomography
  • image quality
  • dual energy
  • high resolution
  • magnetic resonance imaging
  • squamous cell carcinoma
  • positron emission tomography
  • magnetic resonance
  • fluorescence imaging
  • pet ct