Abstract
To further optimize radiotherapy, a more personalized treatment towards individual patient's risk profiles, dissecting both patient-specific tumor and normal tissue response to multimodality treatments is needed. Novel developments in radiobiology, using in vitro patient-specific complex tissue resembling 3D models and multiomics approaches at a spatial single-cell level, may provide unprecedented insight into the radiation responses of tumors and normal tissue. Here, we describe the necessary team effort, including all disciplines in radiation oncology, to integrate such data into clinical prediction models and link the relatively "big data" from the clinical practice, allowing accurate patient stratification for personalized treatment approaches.
Original language | English |
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Pages (from-to) | 370-378 |
Number of pages | 9 |
Journal | Seminars in radiation oncology |
Volume | 34 |
Issue number | 4 |
DOIs | |
Publication status | Published - Oct-2024 |
Keywords
- Humans
- Radiation Oncology
- Neoplasms/radiotherapy
- Precision Medicine/methods
- Translational Research, Biomedical
- Translational Science, Biomedical
- Patient Care Team
- Radiobiology