GATE Monte Carlo dosimetry in 90Y TARE planning: influence of simulation parameters and image resampling on dosimetric accuracy and optimization of computational times

GATE Monte Carlo dosimetry in 90Y TARE planning: influence of simulation parameters and image resampling on dosimetric accuracy and optimization of computational times

Direct Monte Carlo (MC) simulation is considered the gold standard approach for internal dosimetry in nuclear medicine, and it is increasingly used in planning Trans-Arterial Radio-Embolization (TARE) of HepatoCellular Carcinoma (HCC) {and hepatic metastases}. However its computational times, longe...

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Autores principales: Daniele Pistone, Antonio Italiano, Lucrezia Auditore, Ernesto Amato, Alfredo Campennì, Sergio Baldari
Formato: article
Lenguaje:EN
IT
Publicado: Accademia Peloritana dei Pericolanti 2021
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Science (General)
Q1-390
Acceso en línea:https://doaj.org/article/bcb54c740a8745029dca7af4b496dfc8
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spelling oai:doaj.org-article:bcb54c740a8745029dca7af4b496dfc82021-11-14T14:09:39ZGATE Monte Carlo dosimetry in 90Y TARE planning: influence of simulation parameters and image resampling on dosimetric accuracy and optimization of computational times0365-03591825-124210.1478/AAPP.992A4https://doaj.org/article/bcb54c740a8745029dca7af4b496dfc82021-11-01T00:00:00Z http://dx.doi.org/10.1478/AAPP.992A4 https://doaj.org/toc/0365-0359https://doaj.org/toc/1825-1242Direct Monte Carlo (MC) simulation is considered the gold standard approach for internal dosimetry in nuclear medicine, and it is increasingly used in planning Trans-Arterial Radio-Embolization (TARE) of HepatoCellular Carcinoma (HCC) {and hepatic metastases}. However its computational times, longer with respect to other simplified approaches, constitute a limiting factor, especially when dealing with {large size and finely discretized voxelized volumes}. Aim of this work was the investigation of the influence of cuts on the production of secondary particles and of input CT images resamplings on dosimetric accuracy and computational time in patient-specific voxel-level MC simulations of 90Y-labelled glass microspheres TARE treatment, to find optimal combinations of settings for speeding up such simulations. GATE GEANT4 interface was used to perform simulations employing CT and 99mTc SPECT as input data, examining multiple CT resolutions (via CT resamplings characterized by voxel volume factors 2, 8, and 64 with respect to native one, and a {CT} resampling with SPECT resolution) and production cuts (0.01 mm, 0.05 mm, 0.1 mm, 0.5 mm and some more, specific for each resampling). Increasing cut length and reducing CT resolution produces an early rapid decrease followed by a late slow decrease of simulation time as a function of this two parameters. {A} reduction up to 30% with respect to reference simulation time, while preserving acceptable dosimetric accuracy, {was obtained}. The best combination of settings among the examined ones resulted the choice of CT resampling with 8 times the native voxel volume and of 0.1-0.5 mm cut, ensuring dosimetric agreement within 1% in liver-related VOIs, while reducing simulation time to 45%.Daniele PistoneAntonio ItalianoLucrezia AuditoreErnesto AmatoAlfredo CampennìSergio BaldariAccademia Peloritana dei PericolantiarticleScience (General)Q1-390ENITAtti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, Vol 99, Iss 2, p A4 (2021)
institution DOAJ
collection DOAJ
language EN
IT
topic Science (General)
Q1-390
spellingShingle Science (General)
Q1-390
Daniele Pistone
Antonio Italiano
Lucrezia Auditore
Ernesto Amato
Alfredo Campennì
Sergio Baldari
GATE Monte Carlo dosimetry in 90Y TARE planning: influence of simulation parameters and image resampling on dosimetric accuracy and optimization of computational times
description Direct Monte Carlo (MC) simulation is considered the gold standard approach for internal dosimetry in nuclear medicine, and it is increasingly used in planning Trans-Arterial Radio-Embolization (TARE) of HepatoCellular Carcinoma (HCC) {and hepatic metastases}. However its computational times, longer with respect to other simplified approaches, constitute a limiting factor, especially when dealing with {large size and finely discretized voxelized volumes}. Aim of this work was the investigation of the influence of cuts on the production of secondary particles and of input CT images resamplings on dosimetric accuracy and computational time in patient-specific voxel-level MC simulations of 90Y-labelled glass microspheres TARE treatment, to find optimal combinations of settings for speeding up such simulations. GATE GEANT4 interface was used to perform simulations employing CT and 99mTc SPECT as input data, examining multiple CT resolutions (via CT resamplings characterized by voxel volume factors 2, 8, and 64 with respect to native one, and a {CT} resampling with SPECT resolution) and production cuts (0.01 mm, 0.05 mm, 0.1 mm, 0.5 mm and some more, specific for each resampling). Increasing cut length and reducing CT resolution produces an early rapid decrease followed by a late slow decrease of simulation time as a function of this two parameters. {A} reduction up to 30% with respect to reference simulation time, while preserving acceptable dosimetric accuracy, {was obtained}. The best combination of settings among the examined ones resulted the choice of CT resampling with 8 times the native voxel volume and of 0.1-0.5 mm cut, ensuring dosimetric agreement within 1% in liver-related VOIs, while reducing simulation time to 45%.
format article
author Daniele Pistone
Antonio Italiano
Lucrezia Auditore
Ernesto Amato
Alfredo Campennì
Sergio Baldari
author_facet Daniele Pistone
Antonio Italiano
Lucrezia Auditore
Ernesto Amato
Alfredo Campennì
Sergio Baldari
author_sort Daniele Pistone
title GATE Monte Carlo dosimetry in 90Y TARE planning: influence of simulation parameters and image resampling on dosimetric accuracy and optimization of computational times
title_short GATE Monte Carlo dosimetry in 90Y TARE planning: influence of simulation parameters and image resampling on dosimetric accuracy and optimization of computational times
title_full GATE Monte Carlo dosimetry in 90Y TARE planning: influence of simulation parameters and image resampling on dosimetric accuracy and optimization of computational times
title_fullStr GATE Monte Carlo dosimetry in 90Y TARE planning: influence of simulation parameters and image resampling on dosimetric accuracy and optimization of computational times
title_full_unstemmed GATE Monte Carlo dosimetry in 90Y TARE planning: influence of simulation parameters and image resampling on dosimetric accuracy and optimization of computational times
title_sort gate monte carlo dosimetry in 90y tare planning: influence of simulation parameters and image resampling on dosimetric accuracy and optimization of computational times
publisher Accademia Peloritana dei Pericolanti
publishDate 2021
url https://doaj.org/article/bcb54c740a8745029dca7af4b496dfc8
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