Integrating Clinical Variables, Radiomics, and Tumor-derived Cell-Free DNA for Enhanced Prediction of Resectable Esophageal Adenocarcinoma Outcomes
The addition of radiomics and cfDNA can improve the performance of an established survival model. External validity needs to be further assessed in future studies together with the optimization of radiomic pipelines.
Authors
- Maarten F. Bijlsma (ORCID: https://orcid.org/0000-0001-6627-3229)
- Henry C. Woodruff (ORCID: https://orcid.org/0000-0001-7911-5123)
- Tom van den Ende (ORCID: https://orcid.org/0000-0003-2830-2310)
- Wyanne A. Noortman (ORCID: https://orcid.org/0000-0003-0450-951X)
- Sarah Derks (ORCID: https://orcid.org/0000-0002-4547-7457)
- Steven C. Kuijper (ORCID: https://orcid.org/0000-0001-7035-7863)
- Yousif Widaatalla (ORCID: https://orcid.org/0000-0002-0652-8661)
- Ymke van der Pol (ORCID: https://orcid.org/0000-0002-3040-5848)
- D. Michiel Pegtel (ORCID: https://orcid.org/0000-0002-7357-4406)
- P. Lambin
- Florent Moulière (ORCID: https://orcid.org/0000-0001-7043-0514)
- Floris H. P. van Velden (ORCID: https://orcid.org/0000-0003-2859-2119)
- Norbert Moldován (ORCID: https://orcid.org/0000-0003-4138-586X)
- Prof Lioe-Fee de Geus-Oei
- Prof Hanneke W M van Laarhoven
Institutions
- Leiden University Medical Center (NL)
- Maastricht University Medical Centre (NL)
- Maastricht University (NL)
- Amsterdam Neuroscience (NL)
- Oncode Institute (NL)
- Amsterdam University Medical Centers (NL)
- Vrije Universiteit Amsterdam (NL)
- University of Amsterdam (NL)
- University of Twente (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- International Journal of Radiation Oncology*Biology*Physics
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1016/j.ijrobp.2024.10.010
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- Gilead Sciences
- Celgene
- F. Hoffmann-La Roche
- KWF Kankerbestrijding
- Maag Lever Darm Stichting
- Servier