In Silico Validation of MCID Platform for Monte Carlo-Based Voxel Dosimetry Applied to 90Y-Radioembolization of Liver Malignancies
| Autor: | Marta Cremonesi, Salvatore Gallo, Alex Vergara Gil, Massimiliano Pacilio, Ivan Veronese, Alessia Milano, Riccardo Faccini, Nico Lanconelli, Enrico Fabrizi |
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| Přispěvatelé: | Vergara Gil, Alex, Università cattolica del Sacro Cuore = Catholic University of the Sacred Heart [Roma] (Unicatt), Centre de Recherches en Cancérologie de Toulouse (CRCT), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Department of Informatics and System Sciences (Sapienza University of Rome), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Istituto Europeo di Oncologia (IEO), Istituto Nazionale di Fisica Nucleare, Sezione di Milano (INFN), Istituto Nazionale di Fisica Nucleare (INFN), University of Bologna/Università di Bologna, Department of Physics [Roma La Sapienza], Istituto Nazionale di Fisica Nucleare, Sezione di Roma 3 (INFN, Sezione di Roma 3), Policlinico Umberto I [Rome, Italy], Università cattolica del Sacro Cuore [Roma] (Unicatt), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], University of Bologna, Milano, A., Gil, A.V., Fabrizi, E., Cremonesi, M., Veronese, I., Gallo, S., Lanconelli, N., Faccini, R., Pacilio, M |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
radioembolization
Monte Carlo-based dosimetry Monte Carlo method Partial volume computer.software_genre lcsh:Technology 030218 nuclear medicine & medical imaging lcsh:Chemistry 03 medical and health sciences 0302 clinical medicine Voxel Dosimetry General Materials Science Internal dosimetry lcsh:QH301-705.5 Instrumentation Mathematics internal dosimetry Fluid Flow and Transfer Processes [SDV.IB] Life Sciences [q-bio]/Bioengineering lcsh:T Process Chemistry and Technology General Engineering Image segmentation lcsh:QC1-999 Computer Science Applications lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 Homogeneous 030220 oncology & carcinogenesis Absorbed dose [SDV.IB]Life Sciences [q-bio]/Bioengineering lcsh:Engineering (General). Civil engineering (General) computer lcsh:Physics Biomedical engineering |
| Zdroj: | Applied Sciences Applied Sciences, 2020, 47 (SUPPL 1), pp.S314-S315. ⟨10.3390/app11041939⟩ Applied Sciences, Vol 11, Iss 1939, p 1939 (2021) Applied Sciences, MDPI, 2020, 47 (SUPPL 1), pp.S314-S315. ⟨10.3390/app11041939⟩ Volume 11 Issue 4 |
| ISSN: | 2076-3417 |
| Popis: | International audience; The aim was the validation of a platform for internal dosimetry, named MCID, based on patient-specific images and direct Monte Carlo (MC) simulations, for radioembolization of liver tumors with 90Y-labeled microspheres. CT of real patients were used to create voxelized phantoms with different density and activity maps. SPECT acquisitions were simulated by the SIMIND MC code. Input macros for the GATE/Geant4 code were generated by MCID, loading coregistered morphological and functional images and performing image segmentation. The dosimetric results obtained from the direct MC simulations and from conventional MIRD approach at both organ and voxel level, in condition of homogeneous tissues, were compared, obtaining differences of about 0.3% and within 3%, respectively, whereas differences increased (up to 14%) introducing tissue heterogeneities in phantoms. Mean absorbed dose for spherical regions of different sizes (10 mm ≤ r ≤ 30 mm) from MC code and from OLINDA/EXM were also compared obtaining differences varying in the range 7–69%, which decreased to 2–9% after correcting for partial volume effects (PVEs) from imaging, confirming that differences were mostly due to PVEs, even though a still high difference for the smallest sphere suggested possible source description mismatching. This study validated the MCID platform, which allows the fast implementation of a patient-specific GATE simulation, avoiding complex and time-consuming manual coding. It also points out the relevance of personalized dosimetry, accounting for inhomogeneities, in order to avoid absorbed dose misestimations. |
| Databáze: | OpenAIRE |
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