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MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art
Medulloblastoma is the most common malignant pediatric brain tumor. Medulloblastoma should not be viewed as a single disease, but as a heterogeneous mixture of various subgroups with distinct characteristics. Based on genomic profiles, four distinct molecular subgroups are identified: Wingless (WNT)...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024494/ https://www.ncbi.nlm.nih.gov/pubmed/29977341 http://dx.doi.org/10.1177/1756286418775375 |
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author | Colafati, Giovanna Stefania Voicu, Ioan Paul Carducci, Chiara Miele, Evelina Carai, Andrea Di Loreto, Simona Marrazzo, Antonio Cacchione, Antonella Cecinati, Valerio Tornesello, Assunta Mastronuzzi, Angela |
author_facet | Colafati, Giovanna Stefania Voicu, Ioan Paul Carducci, Chiara Miele, Evelina Carai, Andrea Di Loreto, Simona Marrazzo, Antonio Cacchione, Antonella Cecinati, Valerio Tornesello, Assunta Mastronuzzi, Angela |
author_sort | Colafati, Giovanna Stefania |
collection | PubMed |
description | Medulloblastoma is the most common malignant pediatric brain tumor. Medulloblastoma should not be viewed as a single disease, but as a heterogeneous mixture of various subgroups with distinct characteristics. Based on genomic profiles, four distinct molecular subgroups are identified: Wingless (WNT), Sonic Hedgehog (SHH), Group 3 and Group 4. Each of these subgroups are associated with specific genetic aberrations, typical age of onset as well as survival prognosis. Magnetic resonance imaging (MRI) is performed for all patients with brain tumors, and has a key role in the diagnosis, surgical guidance and follow up of patients with medulloblastoma. Several studies indicate MRI as a promising tool for early detection of medulloblastoma subgroups. The early identification of the subgroup can influence the extent of surgical resection, radiotherapy and chemotherapy targeted treatments. In this article, we review the state of the art in MRI-facilitated medulloblastoma subgrouping, with a summary of the main MRI features in medulloblastoma and a brief discussion on molecular characterization of medulloblastoma subgroups. The main focus of the article is MRI features that correlate with medulloblastoma subtypes, as well as features suggestive of molecular subgroups. Finally, we briefly discuss the latest trends in MRI studies and latest developments in molecular characterization. |
format | Online Article Text |
id | pubmed-6024494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-60244942018-07-05 MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art Colafati, Giovanna Stefania Voicu, Ioan Paul Carducci, Chiara Miele, Evelina Carai, Andrea Di Loreto, Simona Marrazzo, Antonio Cacchione, Antonella Cecinati, Valerio Tornesello, Assunta Mastronuzzi, Angela Ther Adv Neurol Disord Review Medulloblastoma is the most common malignant pediatric brain tumor. Medulloblastoma should not be viewed as a single disease, but as a heterogeneous mixture of various subgroups with distinct characteristics. Based on genomic profiles, four distinct molecular subgroups are identified: Wingless (WNT), Sonic Hedgehog (SHH), Group 3 and Group 4. Each of these subgroups are associated with specific genetic aberrations, typical age of onset as well as survival prognosis. Magnetic resonance imaging (MRI) is performed for all patients with brain tumors, and has a key role in the diagnosis, surgical guidance and follow up of patients with medulloblastoma. Several studies indicate MRI as a promising tool for early detection of medulloblastoma subgroups. The early identification of the subgroup can influence the extent of surgical resection, radiotherapy and chemotherapy targeted treatments. In this article, we review the state of the art in MRI-facilitated medulloblastoma subgrouping, with a summary of the main MRI features in medulloblastoma and a brief discussion on molecular characterization of medulloblastoma subgroups. The main focus of the article is MRI features that correlate with medulloblastoma subtypes, as well as features suggestive of molecular subgroups. Finally, we briefly discuss the latest trends in MRI studies and latest developments in molecular characterization. SAGE Publications 2018-06-18 /pmc/articles/PMC6024494/ /pubmed/29977341 http://dx.doi.org/10.1177/1756286418775375 Text en © The Author(s), 2018 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Review Colafati, Giovanna Stefania Voicu, Ioan Paul Carducci, Chiara Miele, Evelina Carai, Andrea Di Loreto, Simona Marrazzo, Antonio Cacchione, Antonella Cecinati, Valerio Tornesello, Assunta Mastronuzzi, Angela MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art |
title | MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art |
title_full | MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art |
title_fullStr | MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art |
title_full_unstemmed | MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art |
title_short | MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art |
title_sort | mri features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024494/ https://www.ncbi.nlm.nih.gov/pubmed/29977341 http://dx.doi.org/10.1177/1756286418775375 |
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