Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers
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S Trebeschi SG Drago Nicolai Birkbak I Kurilova AM Cǎlin A Delli Pizzi F Lalezari DMJ Lambregts MW Rohaan C Parmar EA Rozeman KJ Hartemink Charles Swanton JBAG Haanen CU Blank EF Smit RGH Beets-Tan HJWL AertsAbstract
Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despite its success, only a subset of patients responds-urging the quest for predictive biomarkers. We hypothesize that artificial intelligence (AI) algorithms can automatically quantify radiographic characteristics that are related to and may therefore act as noninvasive radiomic biomarkers for immunotherapy response.
Journal details
Journal Annals of Oncology
Volume 30
Issue number 6
Pages 998-1004
Available online
Publication date
Full text links
Publisher website (DOI) 10.1093/annonc/mdz108
Figshare View on figshare
Europe PubMed Central 30895304
Pubmed 30895304