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Assessment of iron nanoparticle distribution in mouse models using ultrashort‐echo‐time MRI

Microscopic magnetic field inhomogeneities caused by iron deposition or tissue‐air interfaces may result in rapid decay of transverse magnetization in MRI. The aim of this study is to detect and quantify the distribution of iron‐based nanoparticles in mouse models by applying ultrashort‐echo‐time (U...

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Autores principales: Boss, Andreas, Heeb, Laura, Vats, Divya, Starsich, Fabian H. L., Balfourier, Alice, Herrmann, Inge K., Gupta, Anurag
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286043/
https://www.ncbi.nlm.nih.gov/pubmed/34994020
http://dx.doi.org/10.1002/nbm.4690
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author Boss, Andreas
Heeb, Laura
Vats, Divya
Starsich, Fabian H. L.
Balfourier, Alice
Herrmann, Inge K.
Gupta, Anurag
author_facet Boss, Andreas
Heeb, Laura
Vats, Divya
Starsich, Fabian H. L.
Balfourier, Alice
Herrmann, Inge K.
Gupta, Anurag
author_sort Boss, Andreas
collection PubMed
description Microscopic magnetic field inhomogeneities caused by iron deposition or tissue‐air interfaces may result in rapid decay of transverse magnetization in MRI. The aim of this study is to detect and quantify the distribution of iron‐based nanoparticles in mouse models by applying ultrashort‐echo‐time (UTE) sequences in tissues exhibiting extremely fast transverse relaxation. In 24 C57BL/6 mice (two controls), suspensions containing either non‐oxidic Fe or AuFeO( x ) nanoparticles were injected into the tail vein at two doses (200 μg and 600 μg per mouse). Mice underwent MRI using a UTE sequence at 4.7 T field strength with five different echo times between 100 μs and 5000 μs. Transverse relaxation times T (2)* were computed for the lung, liver, and spleen by mono‐exponential fitting. In UTE imaging, the MRI signal could reliably be detected even in liver parenchyma exhibiting the highest deposition of nanoparticles. In animals treated with Fe nanoparticles (600 μg per mouse), the relaxation time substantially decreased in the liver (3418 ± 1534 μs (control) versus 228 ± 67 μs), the spleen (2170 ± 728 μs versus 299 ± 97 μs), and the lungs (663 ± 101 μs versus 413 ± 99 μs). The change in transverse relaxation was dependent on the number and composition of the nanoparticles. By pixel‐wise curve fitting, T (2)* maps were calculated showing nanoparticle distribution. In conclusion, UTE sequences may be used to assess and quantify nanoparticle distribution in tissues exhibiting ultrafast signal decay in MRI.
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spelling pubmed-92860432022-07-19 Assessment of iron nanoparticle distribution in mouse models using ultrashort‐echo‐time MRI Boss, Andreas Heeb, Laura Vats, Divya Starsich, Fabian H. L. Balfourier, Alice Herrmann, Inge K. Gupta, Anurag NMR Biomed Research Articles Microscopic magnetic field inhomogeneities caused by iron deposition or tissue‐air interfaces may result in rapid decay of transverse magnetization in MRI. The aim of this study is to detect and quantify the distribution of iron‐based nanoparticles in mouse models by applying ultrashort‐echo‐time (UTE) sequences in tissues exhibiting extremely fast transverse relaxation. In 24 C57BL/6 mice (two controls), suspensions containing either non‐oxidic Fe or AuFeO( x ) nanoparticles were injected into the tail vein at two doses (200 μg and 600 μg per mouse). Mice underwent MRI using a UTE sequence at 4.7 T field strength with five different echo times between 100 μs and 5000 μs. Transverse relaxation times T (2)* were computed for the lung, liver, and spleen by mono‐exponential fitting. In UTE imaging, the MRI signal could reliably be detected even in liver parenchyma exhibiting the highest deposition of nanoparticles. In animals treated with Fe nanoparticles (600 μg per mouse), the relaxation time substantially decreased in the liver (3418 ± 1534 μs (control) versus 228 ± 67 μs), the spleen (2170 ± 728 μs versus 299 ± 97 μs), and the lungs (663 ± 101 μs versus 413 ± 99 μs). The change in transverse relaxation was dependent on the number and composition of the nanoparticles. By pixel‐wise curve fitting, T (2)* maps were calculated showing nanoparticle distribution. In conclusion, UTE sequences may be used to assess and quantify nanoparticle distribution in tissues exhibiting ultrafast signal decay in MRI. John Wiley and Sons Inc. 2022-02-01 2022-06 /pmc/articles/PMC9286043/ /pubmed/34994020 http://dx.doi.org/10.1002/nbm.4690 Text en © 2022 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Boss, Andreas
Heeb, Laura
Vats, Divya
Starsich, Fabian H. L.
Balfourier, Alice
Herrmann, Inge K.
Gupta, Anurag
Assessment of iron nanoparticle distribution in mouse models using ultrashort‐echo‐time MRI
title Assessment of iron nanoparticle distribution in mouse models using ultrashort‐echo‐time MRI
title_full Assessment of iron nanoparticle distribution in mouse models using ultrashort‐echo‐time MRI
title_fullStr Assessment of iron nanoparticle distribution in mouse models using ultrashort‐echo‐time MRI
title_full_unstemmed Assessment of iron nanoparticle distribution in mouse models using ultrashort‐echo‐time MRI
title_short Assessment of iron nanoparticle distribution in mouse models using ultrashort‐echo‐time MRI
title_sort assessment of iron nanoparticle distribution in mouse models using ultrashort‐echo‐time mri
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286043/
https://www.ncbi.nlm.nih.gov/pubmed/34994020
http://dx.doi.org/10.1002/nbm.4690
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