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Updated: Jun 12, 2026

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
Published on: March 24, 2022
18F-FET-PET-based dose painting by numbers with protons
Mark Rickhey1, Zdenek Morávek, Christoph Eilles
1Department of Radiotherapy, University of Regensburg, Regensburg, Germany. mark.rickhey@gmx.de
This study shows that (18)F-FET-PET-based dose painting with protons is feasible. Proton therapy allows for precise dose escalation in brain tumors while sparing healthy tissues.
Area of Science:
- Radiation Oncology
- Nuclear Medicine
- Medical Physics
Background:
- (18)F-fluoroethyltyrosine-positron emission tomography ((18)F-FET-PET) offers high specificity to brain tumor cells, making it suitable for dose painting.
- Biological image-based dose painting can lead to inhomogeneous dose prescriptions, requiring advanced treatment planning.
Purpose of the Study:
- To investigate the feasibility of (18)F-FET-PET-based dose painting by numbers using proton therapy.
- To compare the dose calculation and distribution of protons versus photons for this technique.
Main Methods:
- Utilized an intensity-modulated radiotherapy (IMRT) algorithm with a Monte Carlo dose-calculation algorithm for spot-scanning protons.
- Employed a linear tracer uptake to dose model to derive dose prescriptions from (18)F-FET-PET images.
- Evaluated the modulation transfer function (MTF) of protons against photons and conducted a planning study on three glioblastoma multiforme patients.
Main Results:
- Proton therapy demonstrated a higher MTF compared to photons.
- Proton therapy resulted in smaller standard deviations in dose differences between prescribed and optimized doses.
- Dose escalation within biologically defined subvolumes was achieved while maintaining constant doses to organs at risk.
Conclusions:
- The study confirms the feasibility of (18)F-FET-PET-based dose painting with protons.
- Proton therapy offers advantages for precise dose painting in brain tumor treatment planning.
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