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| Verfasst von: | Sallem, Habiba [VerfasserIn]  |
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| | Harrabi, Semi B. [VerfasserIn] |
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| | Traneus, Erik [VerfasserIn] |
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| | Herfarth, Klaus [VerfasserIn] |
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| | Debus, Jürgen [VerfasserIn] |
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| | Bauer, Julia [VerfasserIn] |
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| Titel: | A model-based risk-minimizing proton treatment planning concept for brain injury prevention in low-grade glioma patients |
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| Verf.angabe: | H. Sallem, S. Harrabi, E. Traneus, K. Herfarth, J. Debus, J. Bauer |
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| E-Jahr: | 2024 |
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| Jahr: | 10 October 2024 |
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| Umfang: | 7 S. |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Artikelversion: 23. Oktober 2024 ; Gesehen am 13.05.2025 |
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| Titel Quelle: | Enthalten in: Radiotherapy and oncology |
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| Ort Quelle: | Amsterdam [u.a.] : Elsevier Science, 1983 |
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| Jahr Quelle: | 2024 |
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| Band/Heft Quelle: | 201(2024) vom: Dez., Artikel-ID 110579, Seite 1-7 |
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| ISSN Quelle: | 1879-0887 |
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| Abstract: | PURPOSE: Late-occurring contrast-enhancing brain lesions (CEBLs) have been observed on MRI follow-up in low-grade glioma (LGG) patients post-proton therapy. Predictive risk-models for this endpoint identified a dose-averaged linear energy transfer (LETd)-dependent proton relative biological effectiveness (RBE) effect on CEBL occurrence and increased radiosensitivity of the cerebral periventricular region (VP4mm). This work aimed to design a stable risk-minimizing treatment planning (TP) concept addressing these intertwined risk factors through a classically formulated optimization problem. - MATERIAL AND METHODS: The concept was developed in RayStation-research 11B IonPG featuring a variable-RBE-based optimizer involving 20 LGG patients with varying target volume localizations and risk-factor contributions. Classical cost functions penalizing dose, dose-volume-histogram points, and equivalent uniform dose were used to formulate the optimization problem, and a new set of structures was introduced to actively spare the VP4mm, control high LETd regions, and de-escalate the dose outside the gross tumor volume. Target volume coverage and organ-at-risk sparing were robustly evaluated, and Normal Tissue Complication Probabilities (NTCP) for CEBL occurrence were quantified. - RESULTS: The concept yielded stable optimization outcomes for all considered subjects. Risk hot spots were successfully mitigated, and an NTCP reduction of up to 79 % was observed compared to conventional TP while maintaining target coverage, demonstrating the feasibility of the chosen model-based approach. - CONCLUSION: With the proposed TP protocol, we close the gap between predictive risk-modeling and practical risk-mitigation in the clinic and provide a concept for CEBL avoidance with the potential to advance treatment precision for LGG patients. |
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| DOI: | doi:10.1016/j.radonc.2024.110579 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1016/j.radonc.2024.110579 |
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| | kostenfrei: Volltext: https://www.sciencedirect.com/science/article/pii/S0167814024035576?via%3Dihub |
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| | DOI: https://doi.org/10.1016/j.radonc.2024.110579 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Brain Injuries |
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| | Brain Neoplasms |
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| | Cerebral ventricles |
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| | Glioma |
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| | Humans |
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| | LET |
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| | Magnetic Resonance Imaging |
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| | Organs at Risk |
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| | Proton therapy |
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| | Proton Therapy |
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| | Radiation Injuries |
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| | Radiation injury |
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| | Radiotherapy Dosage |
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| | Radiotherapy Planning, Computer-Assisted |
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| | Relative biological effectiveness |
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| | Relative Biological Effectiveness |
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| K10plus-PPN: | 1925508528 |
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| Verknüpfungen: | → Zeitschrift |
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¬A¬ model-based risk-minimizing proton treatment planning concept for brain injury prevention in low-grade glioma patients / Sallem, Habiba [VerfasserIn]; 10 October 2024 (Online-Ressource)
