Andrea Politano
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Andrea Politano has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Bartolomeo Cassano
Department of Research, Diagnosis and Innovative Technologies, Medical Physics Unit, IRCCS Regina Elena National Cancer Institute, 00144 Rome, Italy
1 shared publication - Edoardo D’andrea
Postgraduate School of Medical Physics, Azienda Ospedaliero-Universitaria Policlinico Umberto I, 00161 Rome, Italy
1 shared publication - Marta Cremonesi
Medical Physics Unit, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
1 shared publication - Massimiliano Pacilio
Department of Medical Physics, Azienda Ospedaliero-Universitaria Policlinico Umberto I, 00161 Rome, Italy
1 shared publication - Nico Lanconelli
Department of Physics and Astronomy, Università di Bologna, 40126 Bologna, Italy
1 shared publication - Vincenzo Patera
Department of Basic and Applied Science for Engineering, University of Roma “Sapienza”, 00161 Rome, Italy
1 shared publication
Latest Publications
- Open Access
- 19 January 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (2) , 958
The Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: 166Ho Microspheres
This study compares dosimetric approaches for lung dosimetry in 166 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/cm3) and lung tissue (kLT, ICRU lung tissue with 0.296 g/cm3), local density rescaling (kSTL and kLTL, respectively, for soft tissue and lung tissue), or global rescaling for a lung mean density of 0.221 g/cm3 (kLT221). 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 kSTL, −76% for kLT, −68% for kLT221, and −60% for kLTL. Given the high heterogeneity of lung tissue, standard dosimetric approaches cannot accurately estimate the AD. Additionally, MC results for 166Ho 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.
- 19 January 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (2) , 958
Open AccessThe Essential Role of Monte Carlo Simulations for Lung Dosimetry in Liver Radioembolization—Part B: 166Ho Microspheres
This study compares dosimetric approaches for lung dosimetry in 166 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/cm3) and lung tissue (kLT, ICRU lung tissue with 0.296 g/cm3), local density rescaling (kSTL and kLTL, respectively, for soft tissue and lung tissue), or global rescaling for a lung mean density of 0.221 g/cm3 (kLT221). 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 kSTL, −76% for kLT, −68% for kLT221, and −60% for kLTL. Given the high heterogeneity of lung tissue, standard dosimetric approaches cannot accurately estimate the AD. Additionally, MC results for 166Ho 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.