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Published on: April 11, 2018
Integration of microdosimetry into treatment planning systems using look-up tables (LUT): A proof-of-concept
Jacopo Magini1, Pietro Pisciotta2, Mohammad Hussein3
1Particle Therapy Research Center (PARTREC), University Medical Center Groningen, Department of Radiotherapy, Groningen, The Netherlands; University of Surrey, Department of Physics, Guildford, United Kingdom.
Introduction:
Microdosimetry provides a statistical, measurable description of energy deposition at the sub-cellular level, directly linked to biological effectiveness. In recent years its application to proton therapy has shown promising improvements in the accuracy of radiobiological modelling. This paper introduces a novel approach for integrating microdosimetric quantities into the treatment planning process.
Material And Methods:
This study aims to demonstrate the feasibility of a method for incorporating microdosimetric quantities into TPS, through the creation of look-up tables (LUT) that account for the stochastic nature of energy deposition occurring during a proton treatment irradiation.
Results:
This work provides a preliminary set of LUT that relate the kinetic energy of incoming protons to the first-order stochastic means obtained from the corresponding microdosimetric spectra to proton kinetic energy. Such LUT are pre-produced via Monte Carlo simulations with sub-micrometre precision and can be immediately implemented into commercial TPSs. The resulting quantities are validated against complete Monte Carlo simulations, showing an agreement within 1 keV/µm for y¯F, y∗, and y¯D from the entrance region through the 20 % distal fall-off, and within 3 keV/µm at greater depths. Applying the MKM model to y∗, this process enables a microdosimetric RBE prediction with an agreement exceeding 98.5 %.
Conclusion:
This work represents a promising initial step toward the successful implementation of microdosimetry in routine clinical practice. Establishing a standardized approach will enhance consistency and comparability across institutions.
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