Deep-Learning Serial CT Prediction of Survival in Immunotherapy-Treated Non–Small Cell Lung Cancer
In this prognostic study of patients with advanced NSCLC receiving ICI treatment, the fully automated biomarker Serial CTRS predicted OS more effectively than resource-intensive RECIST and TVC measurements using the same scans.
Authors
- Jasper van der Aart (ORCID: https://orcid.org/0000-0003-4382-1434)
- Arya Amini (ORCID: https://orcid.org/0000-0002-8311-9159)
- J. Weiss
- Stéphane Sanchez (ORCID: https://orcid.org/0000-0002-3224-876X)
- Brendan D. Curti (ORCID: https://orcid.org/0000-0003-3948-2708)
- Aurélie Swalduz (ORCID: https://orcid.org/0000-0002-8398-9373)
- Ray D. Page (ORCID: https://orcid.org/0000-0001-8570-5840)
- Ronan J. Kelly (ORCID: https://orcid.org/0000-0002-6446-2103)
- Petr Jordan (ORCID: https://orcid.org/0000-0002-3278-2866)
- Chiharu Sako (ORCID: https://orcid.org/0000-0003-3243-3954)
- Brenda F. Kurland (ORCID: https://orcid.org/0000-0002-5669-0595)
- Jan Chrusciel (ORCID: https://orcid.org/0000-0002-8364-6506)
- An Liu
- George R. Simon (ORCID: https://orcid.org/0000-0002-3894-0773)
- Ravi B. Parikh
- Marius De Groot
- Jing He
- Jean-Paul Beregi
- Alma Hart
- Arpan A. Patel
- Dwight H. Owen
- Taly G. Schmidt
Institutions
- City Of Hope National Medical Center (US)
- Harvard University (US)
- Emory University (US)
- Palo Alto University (US)
- King's College London (GB)
- The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (US)
- Age UK (GB)
- Ohio Department of Health (US)
- Providence Portland Medical Center (US)
- Baylor University Medical Center (US)
- University of Rochester Medical Center (US)
- Penfold Patterson Research Institute (US)
- Centre Hospitalier Universitaire de Nîmes (FR)
- Centre Léon Bérard (FR)
- City of Hope (US)
- Center for Cancer and Blood Disorders (US)
- Unilever (Netherlands) (NL)
- GlaxoSmithKline (United States) (US)
- Centre Hospitalier de Troyes (FR)
- Établissement Français du Sang (FR)
- Stanford Medicine (US)
- GlaxoSmithKline (Sweden) (SE)
- Baylor Scott & White Health (US)
- Mass General Brigham (US)
- Stanford University (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2026-01-28
- DOI
- https://doi.org/10.1001/jamanetworkopen.2025.55759
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00