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Fast TWIST with iterative reconstruction improves diagnostic accuracy of AVM of the hand

Very high temporal and spatial resolution is mandatory for the diagnosis of arteriovenous malformations (AVM) of the hand. Until now, magnetic resonance imaging (MRI) has not fulfilled both requirements simultaneously. This study presents how the combination of a very fast TWIST MRI (time-resolved a...

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Autores principales: Huf, Veronika I., Fellner, Claudia, Wohlgemuth, Walter A., Stroszczynski, Christian, Schmidt, Michaela, Forman, Christoph, Wetzl, Jens, Uller, Wibke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529883/
https://www.ncbi.nlm.nih.gov/pubmed/33004952
http://dx.doi.org/10.1038/s41598-020-73331-6
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author Huf, Veronika I.
Fellner, Claudia
Wohlgemuth, Walter A.
Stroszczynski, Christian
Schmidt, Michaela
Forman, Christoph
Wetzl, Jens
Uller, Wibke
author_facet Huf, Veronika I.
Fellner, Claudia
Wohlgemuth, Walter A.
Stroszczynski, Christian
Schmidt, Michaela
Forman, Christoph
Wetzl, Jens
Uller, Wibke
author_sort Huf, Veronika I.
collection PubMed
description Very high temporal and spatial resolution is mandatory for the diagnosis of arteriovenous malformations (AVM) of the hand. Until now, magnetic resonance imaging (MRI) has not fulfilled both requirements simultaneously. This study presents how the combination of a very fast TWIST MRI (time-resolved angiography with interleaved stochastic trajectories) sequence and iterative reconstructions optimizes temporal as well as spatial resolution. 11 patients were examined at a 3-T MRI scanner with two different TWIST protocols: the standard and the study protocol, acquiring a data set every 5.57 s and 1.44 s respectively. The study data was retrospectively iteratively reconstructed with different regularization factors (0.001, 0.002, 0.004, 0.008). Results were compared using the sign-test. P-values < 0.05 were regarded statistically significant. With a low amount of contrast medium, the temporal resolution of the study protocol enabled the differentiation of arteries from veins in all patients whereas the signal-to-noise ratio (SNR) deteriorated. Depending on the regularization factors, SNR, delineation of arterial feeders and non-involved hand and interdigital arteries, as well as artefact levels varied. Overall, iterative reconstruction with regularization factor 0.004 achieved the best results, consequently showing the ability of MRI as a reliable diagnostic method in AVMs of the hand.
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spelling pubmed-75298832020-10-02 Fast TWIST with iterative reconstruction improves diagnostic accuracy of AVM of the hand Huf, Veronika I. Fellner, Claudia Wohlgemuth, Walter A. Stroszczynski, Christian Schmidt, Michaela Forman, Christoph Wetzl, Jens Uller, Wibke Sci Rep Article Very high temporal and spatial resolution is mandatory for the diagnosis of arteriovenous malformations (AVM) of the hand. Until now, magnetic resonance imaging (MRI) has not fulfilled both requirements simultaneously. This study presents how the combination of a very fast TWIST MRI (time-resolved angiography with interleaved stochastic trajectories) sequence and iterative reconstructions optimizes temporal as well as spatial resolution. 11 patients were examined at a 3-T MRI scanner with two different TWIST protocols: the standard and the study protocol, acquiring a data set every 5.57 s and 1.44 s respectively. The study data was retrospectively iteratively reconstructed with different regularization factors (0.001, 0.002, 0.004, 0.008). Results were compared using the sign-test. P-values < 0.05 were regarded statistically significant. With a low amount of contrast medium, the temporal resolution of the study protocol enabled the differentiation of arteries from veins in all patients whereas the signal-to-noise ratio (SNR) deteriorated. Depending on the regularization factors, SNR, delineation of arterial feeders and non-involved hand and interdigital arteries, as well as artefact levels varied. Overall, iterative reconstruction with regularization factor 0.004 achieved the best results, consequently showing the ability of MRI as a reliable diagnostic method in AVMs of the hand. Nature Publishing Group UK 2020-10-01 /pmc/articles/PMC7529883/ /pubmed/33004952 http://dx.doi.org/10.1038/s41598-020-73331-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Huf, Veronika I.
Fellner, Claudia
Wohlgemuth, Walter A.
Stroszczynski, Christian
Schmidt, Michaela
Forman, Christoph
Wetzl, Jens
Uller, Wibke
Fast TWIST with iterative reconstruction improves diagnostic accuracy of AVM of the hand
title Fast TWIST with iterative reconstruction improves diagnostic accuracy of AVM of the hand
title_full Fast TWIST with iterative reconstruction improves diagnostic accuracy of AVM of the hand
title_fullStr Fast TWIST with iterative reconstruction improves diagnostic accuracy of AVM of the hand
title_full_unstemmed Fast TWIST with iterative reconstruction improves diagnostic accuracy of AVM of the hand
title_short Fast TWIST with iterative reconstruction improves diagnostic accuracy of AVM of the hand
title_sort fast twist with iterative reconstruction improves diagnostic accuracy of avm of the hand
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529883/
https://www.ncbi.nlm.nih.gov/pubmed/33004952
http://dx.doi.org/10.1038/s41598-020-73331-6
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