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Predictive Value of Baseline FDG-PET/CT for the Durable Response to Immune Checkpoint Inhibition in NSCLC Patients Using the Morphological and Metabolic Features of Primary Tumors.

Ken KuduraNando RitzTim KutzkerMartin H K HoffmannArnoud J TempletonRobert FoersterMichael Christoph KreisslKwadwo Antwi
Published in: Cancers (2022)
, and TLG were very strong long-term outcome predictors. Our results highlight the importance of linking clinical data, as much as morphological features, to the metabolic parameters of primary tumors in a multivariate outcome-predicting model using baseline FDG-PET/CT.
Keyphrases
  • end stage renal disease
  • small cell lung cancer
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • prognostic factors
  • peritoneal dialysis
  • big data
  • deep learning
  • brain metastases