Comparison of gantry-less magnetic resonance guided proton therapy with photon therapy for hepatocellular carcinoma patients

BACKGROUND AND PURPOSE: With magnetic resonance imaging (MRI), soft-tissue tumors such as hepatocellular carcinoma (HCC) are visualised. MR guided proton therapy (MRgPT) may combine the advantages of proton therapy with soft-tissue image-guidance. Therefore, we assessed the calculated dose differences between MR-guided photon therapy (MR-LINAC) and MRgPT at a horizontal beamline for HCC patients, considering non-adapted and adapted plans. MATERIALS AND METHODS: Planning computed tomography and T2-weighted MRI of ten HCC patients with 13 lesions were included. Adaptive hypofractionated MR-LINAC, gantry-based PT as well as MRgPT treatment plans at a horizontal beamline were optimized using RayStation 2023B-R on the daily MRIs. The comparison included various dose-volume-histogram (DVH) parameters of target volumes and normal tissue. RESULTS: of the uninvolved liver was reduced from 10.1 Gy for MR-LINAC to 6.1 Gy(RBE) for MRgPT, and 4.5 Gy(RBE) for gantry-based PT. For all adapted plans, the normal tissue constraints were fulfilled in all patients. CONCLUSIONS: More than half of the proton fractions needed plan adaptation for adequate target coverage. MRgPT lead to clinically acceptable treatment plans for HCC patients and reduced the dose to the uninvolved liver compared to MR-LINAC, with similar target coverage. HCC may thus be a promising indication for hypofractionated adaptive MRgPT.

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Journal
Physics and Imaging in Radiation Oncology
Published
2026-04-17
DOI
https://doi.org/10.1016/j.phro.2026.100967
Primary Topic
Radiation Therapy and Dosimetry
Type
article
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article

Comparison of gantry-less magnetic resonance guided proton therapy with photon therapy for hepatocellular carcinoma patients

Esther G. C. Troost, Annika Lattermann, Franciska Lebbink, Anna Kornek et al.
Physics and Imaging in Radiation Oncology
Radiation Therapy and Dosimetry
article

Comparison of gantry-less magnetic resonance guided proton therapy with photon therapy for hepatocellular carcinoma patients

Esther G. C. Troost, Annika Lattermann, Franciska Lebbink, Anna Kornek, Chiara Valentini, Petra Trnkova, Emilie Alvarez Michael
article en

Abstract

BACKGROUND AND PURPOSE: With magnetic resonance imaging (MRI), soft-tissue tumors such as hepatocellular carcinoma (HCC) are visualised. MR guided proton therapy (MRgPT) may combine the advantages of proton therapy with soft-tissue image-guidance. Therefore, we assessed the calculated dose differences between MR-guided photon therapy (MR-LINAC) and MRgPT at a horizontal beamline for HCC patients, considering non-adapted and adapted plans. MATERIALS AND METHODS: Planning computed tomography and T2-weighted MRI of ten HCC patients with 13 lesions were included. Adaptive hypofractionated MR-LINAC, gantry-based PT as well as MRgPT treatment plans at a horizontal beamline were optimized using RayStation 2023B-R on the daily MRIs. The comparison included various dose-volume-histogram (DVH) parameters of target volumes and normal tissue. RESULTS: of the uninvolved liver was reduced from 10.1 Gy for MR-LINAC to 6.1 Gy(RBE) for MRgPT, and 4.5 Gy(RBE) for gantry-based PT. For all adapted plans, the normal tissue constraints were fulfilled in all patients. CONCLUSIONS: More than half of the proton fractions needed plan adaptation for adequate target coverage. MRgPT lead to clinically acceptable treatment plans for HCC patients and reduced the dose to the uninvolved liver compared to MR-LINAC, with similar target coverage. HCC may thus be a promising indication for hypofractionated adaptive MRgPT.

Physics and Imaging in Radiation OncologyVol. 39
Helmholtz-Zentrum Dresden-Rossendorf (DE), OncoRay (DE), University Hospital Carl Gustav Carus (DE), Czech Technical University in Prague (CZ)
Good health and well-being
Openalex Percentile: Top 24%
Radiation Therapy and Dosimetry
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Comparison of gantry-less magnetic resonance guided proton therapy with photon therapy for hepatocellular carcinoma patients — Esther G. C. Troost, Annika Lattermann, et al. · Physics and Imaging in Radiation Oncology (2026) | TGRS Research Map | TGRS