In silico validation of mcid platform for monte carlo-based voxel dosimetry applied to90 y-radioembolization of liver malignancies

Alessia Milano, Alex Vergara Gil, Enrico Fabrizi, Marta Cremonesi, Ivan Veronese, Salvatore Gallo, Nico Lanconelli, Riccardo Faccini, Massimiliano Pacilio

Research output: Contribution to journalArticlepeer-review

Abstract

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 with90 Y-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.

Original languageEnglish
Article number1939
Pages (from-to)1-16
Number of pages16
JournalApplied Sciences (Switzerland)
Volume11
Issue number4
DOIs
Publication statusPublished - Feb 2 2021

Keywords

  • Internal dosimetry
  • Monte Carlo-based dosimetry
  • Radioembolization

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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