MRI features as a helpful tool to predict the molecular subgroups of medulloblastoma: state of the art. (14th June 2018)

• Record Type: Journal Article
• Authors: 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
• Is Part Of: Therapeutic advances in neurological disorders. Volume 11(2018)
• Publication Date: 2018-06-14
• Subjects: childhood brain cancer -- medulloblastoma -- molecular characterization -- molecular subgroups -- MRI -- pediatric brain tumors; Nervous system -- Diseases -- Periodicals; Nervous system -- Degeneration -- Periodicals; Nervous system -- Diseases -- Treatment -- Periodicals; Nervous System Diseases -- therapy -- Periodicals; Neurodegenerative Diseases -- Periodicals; Système nerveux -- Maladies -- Périodiques; Système nerveux -- Dégénérescence -- Périodiques; Système nerveux; Système nerveux -- Maladies -- Traitement -- Périodiques; 616.805
• DOI: 10.1177/1756286418775375
• Languages: English
• ISSNs: 1756-2856

Abstract

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.