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MRI of Uveal Melanoma
Uveal Melanoma (UM) is the most common primary malignant ocular tumor. The high soft tissue contrast and spatial resolution, and the possibility of generating 3D volumetric and functional images, make Magnetic Resonance Imaging (MRI) a valuable diagnostic imaging technique in UM. Current clinical MR...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468484/ https://www.ncbi.nlm.nih.gov/pubmed/30884881 http://dx.doi.org/10.3390/cancers11030377 |
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author | Ferreira, Teresa A. Grech Fonk, Lorna Jaarsma-Coes, Myriam G. van Haren, Guido G. R. Marinkovic, Marina Beenakker, Jan-Willem M. |
author_facet | Ferreira, Teresa A. Grech Fonk, Lorna Jaarsma-Coes, Myriam G. van Haren, Guido G. R. Marinkovic, Marina Beenakker, Jan-Willem M. |
author_sort | Ferreira, Teresa A. |
collection | PubMed |
description | Uveal Melanoma (UM) is the most common primary malignant ocular tumor. The high soft tissue contrast and spatial resolution, and the possibility of generating 3D volumetric and functional images, make Magnetic Resonance Imaging (MRI) a valuable diagnostic imaging technique in UM. Current clinical MRI protocols, however, are not optimized for UM and therefore lack the quality for accurate assessments. We therefore developed a dedicated protocol at a 3 Tesla MRI, using an eye coil, consisting of multi-slice 2D sequences, different isotropic sequences and diffusion and perfusion-weighted images. This protocol was prospectively evaluated in 9 uveal melanoma patients. The multi-slice 2D sequences had the highest in-plane resolution, being the most suited for lesion characterization and local extension evaluation. The isotropic 3D Turbo-Spin Echo (TSE) sequences were the most suitable for accurate geometric measurements of the tumor and are therefore important for therapy planning. Diffusion and perfusion-weighted images aid in differentiating benign from malignant lesions and provide quantitative measures on tumor hemodynamics and cellularity, which have been reported to be effective in predicting and assessing treatment outcome. Overall, this dedicated MRI protocol provides high-quality imaging of UM, which can be used to improve its diagnosis, treatment planning, and follow-up. |
format | Online Article Text |
id | pubmed-6468484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64684842019-04-24 MRI of Uveal Melanoma Ferreira, Teresa A. Grech Fonk, Lorna Jaarsma-Coes, Myriam G. van Haren, Guido G. R. Marinkovic, Marina Beenakker, Jan-Willem M. Cancers (Basel) Article Uveal Melanoma (UM) is the most common primary malignant ocular tumor. The high soft tissue contrast and spatial resolution, and the possibility of generating 3D volumetric and functional images, make Magnetic Resonance Imaging (MRI) a valuable diagnostic imaging technique in UM. Current clinical MRI protocols, however, are not optimized for UM and therefore lack the quality for accurate assessments. We therefore developed a dedicated protocol at a 3 Tesla MRI, using an eye coil, consisting of multi-slice 2D sequences, different isotropic sequences and diffusion and perfusion-weighted images. This protocol was prospectively evaluated in 9 uveal melanoma patients. The multi-slice 2D sequences had the highest in-plane resolution, being the most suited for lesion characterization and local extension evaluation. The isotropic 3D Turbo-Spin Echo (TSE) sequences were the most suitable for accurate geometric measurements of the tumor and are therefore important for therapy planning. Diffusion and perfusion-weighted images aid in differentiating benign from malignant lesions and provide quantitative measures on tumor hemodynamics and cellularity, which have been reported to be effective in predicting and assessing treatment outcome. Overall, this dedicated MRI protocol provides high-quality imaging of UM, which can be used to improve its diagnosis, treatment planning, and follow-up. MDPI 2019-03-17 /pmc/articles/PMC6468484/ /pubmed/30884881 http://dx.doi.org/10.3390/cancers11030377 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ferreira, Teresa A. Grech Fonk, Lorna Jaarsma-Coes, Myriam G. van Haren, Guido G. R. Marinkovic, Marina Beenakker, Jan-Willem M. MRI of Uveal Melanoma |
title | MRI of Uveal Melanoma |
title_full | MRI of Uveal Melanoma |
title_fullStr | MRI of Uveal Melanoma |
title_full_unstemmed | MRI of Uveal Melanoma |
title_short | MRI of Uveal Melanoma |
title_sort | mri of uveal melanoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468484/ https://www.ncbi.nlm.nih.gov/pubmed/30884881 http://dx.doi.org/10.3390/cancers11030377 |
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