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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Cancer Immunol Res
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
Témata:
Article
On-line přístup: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
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky