The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: <sup>166</sup>Ho Microspheres
This study compares dosimetric approaches for lung dosimetry in <sup>166</sup> radioembolization (Ho-TARE) with direct Monte Carlo (MC) simulations on a voxelized anthropomorphic phantom derived from a real patient’s CT scan, preserving the patient’s lung density distribution. Lung dosim...
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2025-01-01
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author | Edoardo d’Andrea Andrea Politano Bartolomeo Cassano Nico Lanconelli Marta Cremonesi Vincenzo Patera Massimiliano Pacilio |
author_facet | Edoardo d’Andrea Andrea Politano Bartolomeo Cassano Nico Lanconelli Marta Cremonesi Vincenzo Patera Massimiliano Pacilio |
author_sort | Edoardo d’Andrea |
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description | This study compares dosimetric approaches for lung dosimetry in <sup>166</sup> radioembolization (Ho-TARE) with direct Monte Carlo (MC) simulations on a voxelized anthropomorphic phantom derived from a real patient’s CT scan, preserving the patient’s lung density distribution. Lung dosimetry was assessed for five lung shunt (LS) scenarios with conventional methods: the mono-compartmental organ-level approach (MIRD), voxel S-value convolution for soft tissue (kST, ICRU soft tissue with 1.04 g/cm<sup>3</sup>) and lung tissue (kLT, ICRU lung tissue with 0.296 g/cm<sup>3</sup>), local density rescaling (kST<i><sub>L</sub></i> and kLT<i><sub>L</sub></i>, respectively, for soft tissue and lung tissue), or global rescaling for a lung mean density of 0.221 g/cm<sup>3</sup> (kLT<sub>221</sub>). Significant underestimations in the mean absorbed dose (AD) were observed, with relative differences with respect to the reference (MC) of −64% for MIRD, −93% for kST, −56% for kST<i><sub>L</sub></i>, −76% for kLT, −68% for kLT<sub>221</sub>, and −60% for kLT<i><sub>L</sub></i>. Given the high heterogeneity of lung tissue, standard dosimetric approaches cannot accurately estimate the AD. Additionally, MC results for <sup>166</sup>Ho showed notable spatial absorbed dose inhomogeneity, highlighting the need for tailored lung dosimetry in Ho-TARE accounting for the patient-specific lung density distribution. MC-based dosimetry thus proves to be essential for safe and effective radioembolization treatment planning in the presence of LS. |
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spelling | doaj-art-95d86858c9834f16b92a3b6afe40acbf2025-01-24T13:21:29ZengMDPI AGApplied Sciences2076-34172025-01-0115295810.3390/app15020958The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: <sup>166</sup>Ho MicrospheresEdoardo d’Andrea0Andrea Politano1Bartolomeo Cassano2Nico Lanconelli3Marta Cremonesi4Vincenzo Patera5Massimiliano Pacilio6Postgraduate School of Medical Physics, Azienda Ospedaliero-Universitaria Policlinico Umberto I, 00161 Rome, ItalyPostgraduate School of Medical Physics, Azienda Ospedaliero-Universitaria Policlinico Umberto I, 00161 Rome, ItalyDepartment of Research, Diagnosis and Innovative Technologies, Medical Physics Unit, IRCCS Regina Elena National Cancer Institute, 00144 Rome, ItalyDepartment of Physics and Astronomy, Università di Bologna, 40126 Bologna, ItalyMedical Physics Unit, European Institute of Oncology, IRCCS, 20141 Milan, ItalyDepartment of Basic and Applied Science for Engineering, University of Roma “Sapienza”, 00161 Rome, ItalyDepartment of Medical Physics, Azienda Ospedaliero-Universitaria Policlinico Umberto I, 00161 Rome, ItalyThis study compares dosimetric approaches for lung dosimetry in <sup>166</sup> radioembolization (Ho-TARE) with direct Monte Carlo (MC) simulations on a voxelized anthropomorphic phantom derived from a real patient’s CT scan, preserving the patient’s lung density distribution. Lung dosimetry was assessed for five lung shunt (LS) scenarios with conventional methods: the mono-compartmental organ-level approach (MIRD), voxel S-value convolution for soft tissue (kST, ICRU soft tissue with 1.04 g/cm<sup>3</sup>) and lung tissue (kLT, ICRU lung tissue with 0.296 g/cm<sup>3</sup>), local density rescaling (kST<i><sub>L</sub></i> and kLT<i><sub>L</sub></i>, respectively, for soft tissue and lung tissue), or global rescaling for a lung mean density of 0.221 g/cm<sup>3</sup> (kLT<sub>221</sub>). Significant underestimations in the mean absorbed dose (AD) were observed, with relative differences with respect to the reference (MC) of −64% for MIRD, −93% for kST, −56% for kST<i><sub>L</sub></i>, −76% for kLT, −68% for kLT<sub>221</sub>, and −60% for kLT<i><sub>L</sub></i>. Given the high heterogeneity of lung tissue, standard dosimetric approaches cannot accurately estimate the AD. Additionally, MC results for <sup>166</sup>Ho showed notable spatial absorbed dose inhomogeneity, highlighting the need for tailored lung dosimetry in Ho-TARE accounting for the patient-specific lung density distribution. MC-based dosimetry thus proves to be essential for safe and effective radioembolization treatment planning in the presence of LS.https://www.mdpi.com/2076-3417/15/2/958lung shuntinternal dosimetryMonte CarloradioembolizationSIRTTARE |
spellingShingle | Edoardo d’Andrea Andrea Politano Bartolomeo Cassano Nico Lanconelli Marta Cremonesi Vincenzo Patera Massimiliano Pacilio The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: <sup>166</sup>Ho Microspheres Applied Sciences lung shunt internal dosimetry Monte Carlo radioembolization SIRT TARE |
title | The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: <sup>166</sup>Ho Microspheres |
title_full | The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: <sup>166</sup>Ho Microspheres |
title_fullStr | The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: <sup>166</sup>Ho Microspheres |
title_full_unstemmed | The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: <sup>166</sup>Ho Microspheres |
title_short | The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: <sup>166</sup>Ho Microspheres |
title_sort | essential role of monte carlo simulations for lung dosimetry in liver radioembolization part b sup 166 sup ho microspheres |
topic | lung shunt internal dosimetry Monte Carlo radioembolization SIRT TARE |
url | https://www.mdpi.com/2076-3417/15/2/958 |
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