Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non-small cell lung cancer

No predictive biomarkers can robustly identify non-small cell lung cancer (NSCLC) patients who will benefit from immune checkpoint inhibitor (ICI) therapies. Here, in a machine learning setting, we compared changes (“delta”) in the radiomic texture (DelRADx) of computed tomography (CT) patterns both...

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Publié dans:Cancer Immunol Res
Auteurs principaux: Khorrami, Mohammadhadi, Prasanna, Prateek, Gupta, Amit, Patil, Pradnya, Velu, Priya D., Thawani, Rajat, Corredor, German, Alilou, Mehdi, Bera, Kaustav, Fu, Pingfu, Feldman, Michael, Velcheti, Vamsidhar, Madabhushi, Anant
Format: Artigo
Langue:Inglês
Publié: 2019
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Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7718609/
https://ncbi.nlm.nih.gov/pubmed/31719058
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/2326-6066.CIR-19-0476
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