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Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study

PURPOSE: This study aims to assess the quality of a new diffusion-weighted imaging (DWI) sequence implemented on an MR-Linac MRIdian system, evaluating and optimizing the acquisition parameters to explore the possibility of clinically implementing a DWI acquisition protocol in a 0.35-T MR-Linac. MAT...

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Autores principales: Nardini, Matteo, Capotosti, Amedeo, Mazzoni, Lorenzo Nicola, Cusumano, Davide, Boldrini, Luca, Chiloiro, Giuditta, Romano, Angela, Valentini, Vincenzo, Indovina, Luca, Placidi, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745186/
https://www.ncbi.nlm.nih.gov/pubmed/36523999
http://dx.doi.org/10.3389/fonc.2022.867792
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author Nardini, Matteo
Capotosti, Amedeo
Mazzoni, Lorenzo Nicola
Cusumano, Davide
Boldrini, Luca
Chiloiro, Giuditta
Romano, Angela
Valentini, Vincenzo
Indovina, Luca
Placidi, Lorenzo
author_facet Nardini, Matteo
Capotosti, Amedeo
Mazzoni, Lorenzo Nicola
Cusumano, Davide
Boldrini, Luca
Chiloiro, Giuditta
Romano, Angela
Valentini, Vincenzo
Indovina, Luca
Placidi, Lorenzo
author_sort Nardini, Matteo
collection PubMed
description PURPOSE: This study aims to assess the quality of a new diffusion-weighted imaging (DWI) sequence implemented on an MR-Linac MRIdian system, evaluating and optimizing the acquisition parameters to explore the possibility of clinically implementing a DWI acquisition protocol in a 0.35-T MR-Linac. MATERIALS AND METHODS: All the performed analyses have been carried out on two types of phantoms: a homogeneous 24-cm diameter polymethylmethacrylate (PMMA) sphere (SP) and a homemade phantom (HMP) constating in a PMMA cylinder filled with distilled water with empty sockets into which five cylindrical vials filled with five different concentrations of methylcellulose water solutions have been inserted. SP was used to evaluate the dependence of diffusion gradient inhomogeneity artifacts on gantry position. Four diffusion sequences with b-values of 500 s/mm(2) and 3 averages have been acquired: three with diffusion gradients in the three main directions (phase direction, read direction, slice direction) and one with the diffusion gradients switched off. The dependence of diffusion image uniformity and SNR on the number of averages in the MR sequences was also investigated to determine the optimal number of averages. Finally, the ADC values of HMP have been computed and then compared between images acquired in the scanners at 0.35 and 1.5 T. RESULTS: In order to acquire high-quality artifact-free DWI images, the “slice” gradient direction has been identified to be the optimal one and 0° to be the best gradient angle. Both the SNR ratio and the uniformity increase with the number of averages. A threshold value of 80 for SNR and 85% for uniformity was adopted to choose the best number of averages. By making a compromise between time and quality and limiting the number of b-values, it is possible to reduce the acquisition time to 78 s. The Passing–Bablok test showed that the two methods, with 0.35 and 1.5 T scanners, led to similar results. CONCLUSION: The quality of the DWI has been accurately evaluated in relation to different sequence parameters, and optimal parameters have been identified to select a clinical protocol for the acquisition of ADC maps sustainable in the workflow of a hybrid radiotherapy system with a 0.35-T MRI scanner.
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spelling pubmed-97451862022-12-14 Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study Nardini, Matteo Capotosti, Amedeo Mazzoni, Lorenzo Nicola Cusumano, Davide Boldrini, Luca Chiloiro, Giuditta Romano, Angela Valentini, Vincenzo Indovina, Luca Placidi, Lorenzo Front Oncol Oncology PURPOSE: This study aims to assess the quality of a new diffusion-weighted imaging (DWI) sequence implemented on an MR-Linac MRIdian system, evaluating and optimizing the acquisition parameters to explore the possibility of clinically implementing a DWI acquisition protocol in a 0.35-T MR-Linac. MATERIALS AND METHODS: All the performed analyses have been carried out on two types of phantoms: a homogeneous 24-cm diameter polymethylmethacrylate (PMMA) sphere (SP) and a homemade phantom (HMP) constating in a PMMA cylinder filled with distilled water with empty sockets into which five cylindrical vials filled with five different concentrations of methylcellulose water solutions have been inserted. SP was used to evaluate the dependence of diffusion gradient inhomogeneity artifacts on gantry position. Four diffusion sequences with b-values of 500 s/mm(2) and 3 averages have been acquired: three with diffusion gradients in the three main directions (phase direction, read direction, slice direction) and one with the diffusion gradients switched off. The dependence of diffusion image uniformity and SNR on the number of averages in the MR sequences was also investigated to determine the optimal number of averages. Finally, the ADC values of HMP have been computed and then compared between images acquired in the scanners at 0.35 and 1.5 T. RESULTS: In order to acquire high-quality artifact-free DWI images, the “slice” gradient direction has been identified to be the optimal one and 0° to be the best gradient angle. Both the SNR ratio and the uniformity increase with the number of averages. A threshold value of 80 for SNR and 85% for uniformity was adopted to choose the best number of averages. By making a compromise between time and quality and limiting the number of b-values, it is possible to reduce the acquisition time to 78 s. The Passing–Bablok test showed that the two methods, with 0.35 and 1.5 T scanners, led to similar results. CONCLUSION: The quality of the DWI has been accurately evaluated in relation to different sequence parameters, and optimal parameters have been identified to select a clinical protocol for the acquisition of ADC maps sustainable in the workflow of a hybrid radiotherapy system with a 0.35-T MRI scanner. Frontiers Media S.A. 2022-11-29 /pmc/articles/PMC9745186/ /pubmed/36523999 http://dx.doi.org/10.3389/fonc.2022.867792 Text en Copyright © 2022 Nardini, Capotosti, Mazzoni, Cusumano, Boldrini, Chiloiro, Romano, Valentini, Indovina and Placidi https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Nardini, Matteo
Capotosti, Amedeo
Mazzoni, Lorenzo Nicola
Cusumano, Davide
Boldrini, Luca
Chiloiro, Giuditta
Romano, Angela
Valentini, Vincenzo
Indovina, Luca
Placidi, Lorenzo
Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study
title Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study
title_full Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study
title_fullStr Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study
title_full_unstemmed Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study
title_short Tuning the optimal diffusion-weighted MRI parameters on a 0.35-T MR-Linac for clinical implementation: A phantom study
title_sort tuning the optimal diffusion-weighted mri parameters on a 0.35-t mr-linac for clinical implementation: a phantom study
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745186/
https://www.ncbi.nlm.nih.gov/pubmed/36523999
http://dx.doi.org/10.3389/fonc.2022.867792
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