Predicting response to cancer immunotherapy using noninvasive radiomic biomarkersMore about Open Access at the Crick
Authors listS 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 Aerts
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 Annals of Oncology
Issue number 6