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Diffusion Tensor Magnetic Resonance Imaging of the Pancreas

PURPOSE: To develop a diffusion-tensor-imaging (DTI) protocol that is sensitive to the complex diffusion and perfusion properties of the healthy and malignant pancreas tissues. MATERIALS AND METHODS: Twenty-eight healthy volunteers and nine patients with pancreatic-ductal-adenocacinoma (PDAC), were...

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Autores principales: Nissan, Noam, Golan, Talia, Furman-Haran, Edna, Apter, Sara, Inbar, Yael, Ariche, Arie, Bar-Zakay, Barak, Goldes, Yuri, Schvimer, Michael, Grobgeld, Dov, Degani, Hadassa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4280111/
https://www.ncbi.nlm.nih.gov/pubmed/25549366
http://dx.doi.org/10.1371/journal.pone.0115783
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author Nissan, Noam
Golan, Talia
Furman-Haran, Edna
Apter, Sara
Inbar, Yael
Ariche, Arie
Bar-Zakay, Barak
Goldes, Yuri
Schvimer, Michael
Grobgeld, Dov
Degani, Hadassa
author_facet Nissan, Noam
Golan, Talia
Furman-Haran, Edna
Apter, Sara
Inbar, Yael
Ariche, Arie
Bar-Zakay, Barak
Goldes, Yuri
Schvimer, Michael
Grobgeld, Dov
Degani, Hadassa
author_sort Nissan, Noam
collection PubMed
description PURPOSE: To develop a diffusion-tensor-imaging (DTI) protocol that is sensitive to the complex diffusion and perfusion properties of the healthy and malignant pancreas tissues. MATERIALS AND METHODS: Twenty-eight healthy volunteers and nine patients with pancreatic-ductal-adenocacinoma (PDAC), were scanned at 3T with T2-weighted and DTI sequences. Healthy volunteers were also scanned with multi-b diffusion-weighted-imaging (DWI), whereas a standard clinical protocol complemented the PDAC patients’ scans. Image processing at pixel resolution yielded parametric maps of three directional diffusion coefficients λ1, λ2, λ3, apparent diffusion coefficient (ADC), and fractional anisotropy (FA), as well as a λ1-vector map, and a main diffusion-direction map. RESULTS: DTI measurements of healthy pancreatic tissue at b-values 0,500 s/mm(2)yielded: λ1 = (2.65±0.35)×10(−3), λ2 = (1.87±0.22)×10(−3), λ3 = (1.20±0.18)×10(−3), ADC = (1.91±0.22)×10(−3) (all in mm(2)/s units) and FA = 0.38±0.06. Using b-values of 100,500 s/mm(2) led to a significant reduction in λ1, λ2, λ3 and ADC (p<.0001) and a significant increase (p<0.0001) in FA. The reduction in the diffusion coefficients suggested a contribution of a fast intra-voxel-incoherent-motion (IVIM) component at b≤100 s/mm(2), which was confirmed by the multi-b DWI results. In PDACs, λ1, λ2, λ3 and ADC in both 0,500 s/mm(2) and 100,500 s/mm(2) b-values sets, as well as the reduction in these diffusion coefficients between the two sets, were significantly lower in comparison to the distal normal pancreatic tissue, suggesting higher cellularity and diminution of the fast-IVIM component in the cancer tissue. CONCLUSION: DTI using two reference b-values 0 and 100 s/mm(2) enabled characterization of the water diffusion and anisotropy of the healthy pancreas, taking into account a contribution of IVIM. The reduction in the diffusion coefficients of PDAC, as compared to normal pancreatic tissue, and the smaller change in these coefficients in PDAC when the reference b-value was modified from 0 to 100 s/mm(2), helped identifying the presence of malignancy.
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spelling pubmed-42801112015-01-07 Diffusion Tensor Magnetic Resonance Imaging of the Pancreas Nissan, Noam Golan, Talia Furman-Haran, Edna Apter, Sara Inbar, Yael Ariche, Arie Bar-Zakay, Barak Goldes, Yuri Schvimer, Michael Grobgeld, Dov Degani, Hadassa PLoS One Research Article PURPOSE: To develop a diffusion-tensor-imaging (DTI) protocol that is sensitive to the complex diffusion and perfusion properties of the healthy and malignant pancreas tissues. MATERIALS AND METHODS: Twenty-eight healthy volunteers and nine patients with pancreatic-ductal-adenocacinoma (PDAC), were scanned at 3T with T2-weighted and DTI sequences. Healthy volunteers were also scanned with multi-b diffusion-weighted-imaging (DWI), whereas a standard clinical protocol complemented the PDAC patients’ scans. Image processing at pixel resolution yielded parametric maps of three directional diffusion coefficients λ1, λ2, λ3, apparent diffusion coefficient (ADC), and fractional anisotropy (FA), as well as a λ1-vector map, and a main diffusion-direction map. RESULTS: DTI measurements of healthy pancreatic tissue at b-values 0,500 s/mm(2)yielded: λ1 = (2.65±0.35)×10(−3), λ2 = (1.87±0.22)×10(−3), λ3 = (1.20±0.18)×10(−3), ADC = (1.91±0.22)×10(−3) (all in mm(2)/s units) and FA = 0.38±0.06. Using b-values of 100,500 s/mm(2) led to a significant reduction in λ1, λ2, λ3 and ADC (p<.0001) and a significant increase (p<0.0001) in FA. The reduction in the diffusion coefficients suggested a contribution of a fast intra-voxel-incoherent-motion (IVIM) component at b≤100 s/mm(2), which was confirmed by the multi-b DWI results. In PDACs, λ1, λ2, λ3 and ADC in both 0,500 s/mm(2) and 100,500 s/mm(2) b-values sets, as well as the reduction in these diffusion coefficients between the two sets, were significantly lower in comparison to the distal normal pancreatic tissue, suggesting higher cellularity and diminution of the fast-IVIM component in the cancer tissue. CONCLUSION: DTI using two reference b-values 0 and 100 s/mm(2) enabled characterization of the water diffusion and anisotropy of the healthy pancreas, taking into account a contribution of IVIM. The reduction in the diffusion coefficients of PDAC, as compared to normal pancreatic tissue, and the smaller change in these coefficients in PDAC when the reference b-value was modified from 0 to 100 s/mm(2), helped identifying the presence of malignancy. Public Library of Science 2014-12-30 /pmc/articles/PMC4280111/ /pubmed/25549366 http://dx.doi.org/10.1371/journal.pone.0115783 Text en © 2014 Nissan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Nissan, Noam
Golan, Talia
Furman-Haran, Edna
Apter, Sara
Inbar, Yael
Ariche, Arie
Bar-Zakay, Barak
Goldes, Yuri
Schvimer, Michael
Grobgeld, Dov
Degani, Hadassa
Diffusion Tensor Magnetic Resonance Imaging of the Pancreas
title Diffusion Tensor Magnetic Resonance Imaging of the Pancreas
title_full Diffusion Tensor Magnetic Resonance Imaging of the Pancreas
title_fullStr Diffusion Tensor Magnetic Resonance Imaging of the Pancreas
title_full_unstemmed Diffusion Tensor Magnetic Resonance Imaging of the Pancreas
title_short Diffusion Tensor Magnetic Resonance Imaging of the Pancreas
title_sort diffusion tensor magnetic resonance imaging of the pancreas
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4280111/
https://www.ncbi.nlm.nih.gov/pubmed/25549366
http://dx.doi.org/10.1371/journal.pone.0115783
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