Clinical validation of a prognostic preclinical magnetic resonance imaging biomarker for radiotherapy outcome in head-and-neck cancer
A preclinical prognostic model defined by an ADC-based HRS was successfully retrained and validated in HNC patients treated with radiochemotherapy. After thorough external validation, such functional HRS based on a band of ADC values may in the future allow interventional response-adaptive MRI-guided radiotherapy in online and offline approaches.
Authors
- Daniel Zips (ORCID: https://orcid.org/0000-0001-5779-9675)
- Sara Leibfarth
- Konstantin Nikolaou (ORCID: https://orcid.org/0000-0003-2668-7325)
- Jonas Habrich (ORCID: https://orcid.org/0000-0002-2168-4400)
- René M. Winter (ORCID: https://orcid.org/0000-0001-7282-6846)
- Daniela Thorwarth (ORCID: https://orcid.org/0000-0003-1433-9315)
- Simon Boeke (ORCID: https://orcid.org/0000-0002-3210-3368)
- Kerstin Clasen
Institutions
- German Cancer Research Center (DE)
- Norwegian University of Science and Technology (NO)
- Heidelberg University (DE)
- Humboldt-Universität zu Berlin (DE)
- German Cancer Society (DE)
- University of Tübingen (DE)
Publication Details
- Journal
- Radiotherapy and Oncology
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1016/j.radonc.2024.110702
- Citations
- 6
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- European Commission
- Deutsche Forschungsgemeinschaft
- Seventh Framework Programme
- European Research Council