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Along‐tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors

Along‐tract statistics analysis enables the extraction of quantitative diffusion metrics along specific white matter fiber tracts. Besides quantitative metrics derived from classical diffusion tensor imaging (DTI), such as fractional anisotropy and diffusivities, new parameters reflecting the relati...

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Autores principales: Pieri, Valentina, Sanvito, Francesco, Riva, Marco, Petrini, Alessandro, Rancoita, Paola M. V., Cirillo, Sara, Iadanza, Antonella, Bello, Lorenzo, Castellano, Antonella, Falini, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7927309/
https://www.ncbi.nlm.nih.gov/pubmed/33274823
http://dx.doi.org/10.1002/hbm.25291
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author Pieri, Valentina
Sanvito, Francesco
Riva, Marco
Petrini, Alessandro
Rancoita, Paola M. V.
Cirillo, Sara
Iadanza, Antonella
Bello, Lorenzo
Castellano, Antonella
Falini, Andrea
author_facet Pieri, Valentina
Sanvito, Francesco
Riva, Marco
Petrini, Alessandro
Rancoita, Paola M. V.
Cirillo, Sara
Iadanza, Antonella
Bello, Lorenzo
Castellano, Antonella
Falini, Andrea
author_sort Pieri, Valentina
collection PubMed
description Along‐tract statistics analysis enables the extraction of quantitative diffusion metrics along specific white matter fiber tracts. Besides quantitative metrics derived from classical diffusion tensor imaging (DTI), such as fractional anisotropy and diffusivities, new parameters reflecting the relative contribution of different diffusion compartments in the tissue can be estimated through advanced diffusion MRI methods as neurite orientation dispersion and density imaging (NODDI), leading to a more specific microstructural characterization. In this study, we extracted both DTI‐ and NODDI‐derived quantitative microstructural diffusion metrics along the most eloquent fiber tracts in 15 healthy subjects and in 22 patients with brain tumors. We obtained a robust intraprotocol reference database of normative along‐tract microstructural metrics, and their corresponding plots, from healthy fiber tracts. Each diffusion metric of individual patient's fiber tract was then plotted and statistically compared to the normative profile of the corresponding metric from the healthy fiber tracts. NODDI‐derived metrics appeared to account for the pathological microstructural changes of the peritumoral tissue more accurately than DTI‐derived ones. This approach may be useful for future studies that may compare healthy subjects to patients diagnosed with other pathological conditions.
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spelling pubmed-79273092021-03-12 Along‐tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors Pieri, Valentina Sanvito, Francesco Riva, Marco Petrini, Alessandro Rancoita, Paola M. V. Cirillo, Sara Iadanza, Antonella Bello, Lorenzo Castellano, Antonella Falini, Andrea Hum Brain Mapp Research Articles Along‐tract statistics analysis enables the extraction of quantitative diffusion metrics along specific white matter fiber tracts. Besides quantitative metrics derived from classical diffusion tensor imaging (DTI), such as fractional anisotropy and diffusivities, new parameters reflecting the relative contribution of different diffusion compartments in the tissue can be estimated through advanced diffusion MRI methods as neurite orientation dispersion and density imaging (NODDI), leading to a more specific microstructural characterization. In this study, we extracted both DTI‐ and NODDI‐derived quantitative microstructural diffusion metrics along the most eloquent fiber tracts in 15 healthy subjects and in 22 patients with brain tumors. We obtained a robust intraprotocol reference database of normative along‐tract microstructural metrics, and their corresponding plots, from healthy fiber tracts. Each diffusion metric of individual patient's fiber tract was then plotted and statistically compared to the normative profile of the corresponding metric from the healthy fiber tracts. NODDI‐derived metrics appeared to account for the pathological microstructural changes of the peritumoral tissue more accurately than DTI‐derived ones. This approach may be useful for future studies that may compare healthy subjects to patients diagnosed with other pathological conditions. John Wiley & Sons, Inc. 2020-12-04 /pmc/articles/PMC7927309/ /pubmed/33274823 http://dx.doi.org/10.1002/hbm.25291 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Pieri, Valentina
Sanvito, Francesco
Riva, Marco
Petrini, Alessandro
Rancoita, Paola M. V.
Cirillo, Sara
Iadanza, Antonella
Bello, Lorenzo
Castellano, Antonella
Falini, Andrea
Along‐tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors
title Along‐tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors
title_full Along‐tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors
title_fullStr Along‐tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors
title_full_unstemmed Along‐tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors
title_short Along‐tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance MR tractography quantitative analysis in healthy controls and in patients with brain tumors
title_sort along‐tract statistics of neurite orientation dispersion and density imaging diffusion metrics to enhance mr tractography quantitative analysis in healthy controls and in patients with brain tumors
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7927309/
https://www.ncbi.nlm.nih.gov/pubmed/33274823
http://dx.doi.org/10.1002/hbm.25291
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