Risk modeling of imaging changes after proton beam therapy for childhood brain tumors

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Feline Heinzelmann - , Universitätsklinikum Essen, Technische Universität (TU) Dortmund (Autor:in)
  • Sarah Peters - , Universitätsklinikum Essen (Autor:in)
  • Annika Quenzer - , Universitätsklinikum Würzburg (Autor:in)
  • Armin Lühr - , Technische Universität (TU) Dortmund (Autor:in)
  • Steffen Löck - , OncoRay - Nationales Zentrum für Strahlenforschung in der Onkologie, Klinik und Poliklinik für Strahlentherapie und Radioonkologie (Autor:in)
  • Stefanie Schulze Schleithoff - , Universitätsklinikum Essen (Autor:in)
  • Sabine Frisch - , Universitätsklinikum Essen (Autor:in)
  • Christian Bäumer - , Technische Universität (TU) Dortmund, Universitätsklinikum Essen, Deutsches Konsortium für Translationale Krebsforschung (DKTK) - Essen / Düsseldorf (Autor:in)
  • Beate Timmermann - , Universitätsklinikum Essen, Deutsches Konsortium für Translationale Krebsforschung (DKTK) - Essen / Düsseldorf, Universität Duisburg-Essen (Autor:in)

Abstract

BACKGROUND AND PURPOSE: In childhood brain tumors, minimizing long-term side effects of cancer therapy is a critical objective. Radiation-related imaging changes (ICs), indicative of potential radionecrosis, remain an area of active investigation in proton beam therapy (PBT). This study aimed to identify and correlate post-therapeutic ICs and radio-biological and dosimetric factors, including linear energy transfer (LET) and variable relative biological effectiveness (RBE), as well as clinical factors.

MATERIALS AND METHODS: A 3:1 matched-pair cohort of 93 pediatric PBT patients from a register study was retrospectively analyzed. The cohort comprised various brain tumor entities, with follow-up MRI data available up to 14 months post-treatment. Potential clinical risk factors for therapy-induced ICs in pediatric brains were analyzed using logistic regression at both patient and voxel levels. Dosimetric parameters were evaluated for the entire brain, periventricular region (PVR), and brainstem.

RESULTS: A total of 15 cases with post-therapeutic ICs from various childhood tumor entities were identified and localized in the brainstem, the PVR, and other brain regions. At the voxel level, the key parameter linked to increased IC probability was the product of dose D and proton dose-averaged LETd (D· LETd proton) σ=6 mm, excluding voxels below 5 Gy (RBE). The Gaussian filtering with a standard deviation σ of 6 mm served as a practical approach to account for spatial uncertainties. At the patient level, the median dose (D 50%) within the volume of the healthy brain receiving more than 20 Gy (RBE) was most significant.

CONCLUSION: The identified univariate voxel- and patient-level risk factors provide a foundation for predicting post-therapeutic ICs in pediatric CNS tumor patients treated with PBT. Our findings contribute to refining risk prediction models and optimizing treatment planning strategies, ultimately aiming to minimize long-term radiation-induced effects in pediatric brain tumor patients.

Details

OriginalspracheEnglisch
Aufsatznummer111261
FachzeitschriftRadiotherapy and Oncology
Jahrgang215
Frühes Online-Datum3 Nov. 2025
PublikationsstatusVeröffentlicht - Feb. 2026
Peer-Review-StatusJa

Externe IDs

ORCID /0000-0002-7017-3738/work/196691686
unpaywall 10.1016/j.radonc.2025.111261
Scopus 105027647410

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Normal tissue complication probability (NTCP), Childhood brain tumors, Linear energy transfer (LET), Proton beam therapy (PBT), Brain cancer, Brainstem, Relative biological effectiveness (RBE), Adverse effects, Periventricular region (PVR), Imaging changes