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Abstract
Boron Neutron Capture Therapy (BNCT) is a radiotherapy technique based on the enrichment of tumour cells with suitable 10-boron concentration and on subsequent neutron irradiation. Low-energy neutron irradiation produces a localized deposition of radiation dose caused by boron neutron capture reactions. Boron is vehiculated into tumour cells via proper borated formulations, able to accumulate in the malignancy more than in normal tissues. The neutron capture releases two high-LET charged particles (i.e., an alpha particle and a lithium ion), losing their energy in a distance comparable to the average dimension of one cell. Thus BNCT is selective at the cell level and characterized by high biological effectiveness. As the radiation field is due to the interaction of neutrons with the components of biological tissues and with boron, the dosimetry requires a formalism to express the absorbed dose into photon-equivalent units. This work analyzes a clinical case of an adenoid cystic carcinoma treated with carbon-ion radiotherapy (CIRT), located close to optic nerve and deep-seated as a practical example of how to apply the formalism of BNCT photon isoeffective dose and how to evaluate the BNCT dose distribution against CIRT. The example allows presenting different dosimetrical and radiobiological quantities and drawing conclusions on the potential of BNCT stemming on the clinical result of the CIRT. The patient received CIRT with a dose constraint on the optic nerve, affecting the peripheral part of the Planning Target Volume (PTV). After the treatment, the tumour recurred in this low-dose region. BNCT was simulated for the primary tumour, with the goal to calculate the dose distribution in isoeffective units and a Tumour Control Probability (TCP) to be compared with the one of the original treatment. BNCT was then evaluated for the recurrence in the underdosed region which was not optimally covered by charged particles due to the proximity of the optic nerve. Finally, a combined treatment consisting in BNCT and carbon ion therapy was considered to show the consistency and the potential of the model. For the primary tumour, the photon isoeffective dose distribution due to BNCT was evaluated and the resulted TCP was higher than that obtained for the CIRT. The formalism produced values that are consistent with those of carbon-ion. For the recurrence, BNCT dosimetry produces a similar TCP than that of primary tumour. A combined treatment was finally simulated, showing a TCP comparable to the BNCT-alone with overall dosimetric advantage in the most peripheral parts of the treatment volume. Isoeffective dose formalism is a robust tool to analyze BNCT dosimetry and to compare it with the photon-equivalent dose calculated for carbon-ion treatment. This study introduces for the first time the possibility to combine the dosimetry obtained by two different treatment modalities, showing the potential of exploiting the cellular targeting of BNCT combined with the precision of charged particles in delivering an homogeneous dose distribution in deep-seated tumours.
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1 National Institute of Nuclear Physics, INFN, Unit of Pavia, Pavia, Italy (GRID:grid.6045.7) (ISNI:0000 0004 1757 5281)
2 National Institute of Nuclear Physics, INFN, Unit of Pavia, Pavia, Italy (GRID:grid.6045.7) (ISNI:0000 0004 1757 5281); University of Pavia, Department of Physics, Pavia, Italy (GRID:grid.8982.b) (ISNI:0000 0004 1762 5736)
3 National Institute of Nuclear Physics, INFN, Unit of Pavia, Pavia, Italy (GRID:grid.6045.7) (ISNI:0000 0004 1757 5281); University of Pavia, Department of Physics, Pavia, Italy (GRID:grid.8982.b) (ISNI:0000 0004 1762 5736); National University of San Martín, Dan Beninson Institute, Buenos Aires, Argentina (GRID:grid.108365.9) (ISNI:0000 0001 2105 0048)
4 National Institute of Nuclear Physics, INFN, Unit of Pavia, Pavia, Italy (GRID:grid.6045.7) (ISNI:0000 0004 1757 5281); National Centre for Oncological Hadrontherapy, CNAO, Pavia, Italy (GRID:grid.499294.b) (ISNI:0000 0004 6486 0923)
5 National Centre for Oncological Hadrontherapy, CNAO, Pavia, Italy (GRID:grid.499294.b) (ISNI:0000 0004 6486 0923)
6 Neuboron Medtech Ltd, Nanjing, China (GRID:grid.509759.7); Nanjing University of Aeronautics and Astronautics, NUAA, Department of Nuclear Science and Technology, Nanjing, China (GRID:grid.64938.30) (ISNI:0000 0000 9558 9911)
7 University of Pavia, Department of Physics, Pavia, Italy (GRID:grid.8982.b) (ISNI:0000 0004 1762 5736); Nanjing University of Aeronautics and Astronautics, NUAA, Department of Nuclear Science and Technology, Nanjing, China (GRID:grid.64938.30) (ISNI:0000 0000 9558 9911)
8 Nanjing University of Aeronautics and Astronautics, NUAA, Department of Nuclear Science and Technology, Nanjing, China (GRID:grid.64938.30) (ISNI:0000 0000 9558 9911)
9 National University of San Martín, Dan Beninson Institute, Buenos Aires, Argentina (GRID:grid.108365.9) (ISNI:0000 0001 2105 0048); National Atomic Energy Commission, CNEA, Buenos Aires, Argentina (GRID:grid.418851.1) (ISNI:0000 0004 1784 2677); National Scientific and Technical Research Council, CONICET, Buenos Aires, Argentina (GRID:grid.423606.5) (ISNI:0000 0001 1945 2152)