Abstract 736: Deep learning response score using baseline and 12-week RECIST chest CTs enhances overall survival (OS) prediction in advanced NSCLC: external validation in a trial with dostarlimab
Year: 2025
Type: conference-abstract
Source: Cancer Research
Authors: Brenda F. Kurland, Chiharu Sako, Jing He, Marius de Groot, Taly G. Schmidt, Arpan A. Patel, Dwight H. Owen, Arya Amini, Brendan D. Curti, Ronan J. Kelly, Ray D. Page, Aurelie Swalduz, Jean-Paul Beregi, Jan Chrusciel, Stephane Sanchez, Richard Rosenberg, Jakob Weiss, An Liu, Olivier Gevaert, George R. Simon, Ravi B. Parikh, Alma Hart, Petr Jordan, Jasper van der Aart
Institutions: GlaxoSmithKline (United States), King's College London, University of Rochester Medicine, The Ohio State University, City Of Hope National Medical Center, Providence Portland Medical Center, Baylor University Medical Center, Center for Cancer and Blood Disorders, Centre Léon Bérard, Centre Hospitalier de Troyes, Arizona Oncology, Harvard University, Stanford University, OhioHealth, Emory University
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W4409691250