Improving the modelling of irradiation-induced brain activation for in vivo PET verification of proton therapy
Background and purposes - A reliable Monte Carlo prediction of proton-induced brain tissue activation used for comparison to particle therapy positron-emission-tomography (PT-PET) measurements is crucial for in vivo treatment verification. Major limitations of current approaches to overcome include...
Gespeichert in:
| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
24 April 2018
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| In: |
Radiotherapy and oncology
Year: 2018, Jahrgang: 128, Heft: 1, Pages: 101-108 |
| ISSN: | 1879-0887 |
| DOI: | 10.1016/j.radonc.2018.01.016 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1016/j.radonc.2018.01.016 Verlag: http://www.sciencedirect.com/science/article/pii/S0167814018300422 
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| Verfasserangaben: | Julia Bauer, Wenjing Chen, Sebastian Nischwitz, Jakob Liebl, Stefan Rieken, Thomas Welzel, Juergen Debus, Katia Parodi |
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| 245 | 1 | 0 | |a Improving the modelling of irradiation-induced brain activation for in vivo PET verification of proton therapy |c Julia Bauer, Wenjing Chen, Sebastian Nischwitz, Jakob Liebl, Stefan Rieken, Thomas Welzel, Juergen Debus, Katia Parodi |
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| 520 | |a Background and purposes - A reliable Monte Carlo prediction of proton-induced brain tissue activation used for comparison to particle therapy positron-emission-tomography (PT-PET) measurements is crucial for in vivo treatment verification. Major limitations of current approaches to overcome include the CT-based patient model and the description of activity washout due to tissue perfusion. - Material and methods - Two approaches were studied to improve the activity prediction for brain irradiation: (i) a refined patient model using tissue classification based on MR information and (ii) a PT-PET data-driven refinement of washout model parameters. Improvements of the activity predictions compared to post-treatment PT-PET measurements were assessed in terms of activity profile similarity for six patients treated with a single or two almost parallel fields delivered by active proton beam scanning. - Results - The refined patient model yields a generally higher similarity for most of the patients, except in highly pathological areas leading to tissue misclassification. Using washout model parameters deduced from clinical patient data could considerably improve the activity profile similarity for all patients. - Conclusions - Current methods used to predict proton-induced brain tissue activation can be improved with MR-based tissue classification and data-driven washout parameters, thus providing a more reliable basis for PT-PET verification. | ||
| 650 | 4 | |a In vivo verification | |
| 650 | 4 | |a Monte Carlo simulation | |
| 650 | 4 | |a PET verification | |
| 650 | 4 | |a Proton therapy | |
| 650 | 4 | |a Washout model | |
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