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Utilization of target lesion heterogeneity for treatment efficacy assessment in late stage lung cancer.

Dung Tsa ChenWenyaw ChanZachary J ThompsonRam ThapaAmer A BegAndreas N SaltosAlberto A ChiapporiJhanelle E GrayEric B HauraTrevor A RoseBen Creelan
Published in: PloS one (2021)
This is the first study to evaluate lesion heterogeneity, an underappreciated metric, for RECIST application in oncology clinical trials. Results indicated lesion heterogeneity is not an uncommon event. The LeHeC approach could enhance RECIST response classification by utilizing granular lesion level discovery of heterogeneity.
Keyphrases
  • single cell
  • clinical trial
  • machine learning
  • palliative care
  • high throughput
  • deep learning
  • randomized controlled trial
  • combination therapy