Ultrahigh-field imaging (7 Tesla) in DNET: Unmasking microstructural imaging characteristics – A case report
Commercial ultrahigh-field 7 Tesla (T) MRI has been approved for clinical brain imaging, including applications in epilepsy and brain tumors. Increasing magnetic field strength offers significant advantages over lower-field MRI due to improved spatial resolution, signal-to-noise ratio, and contrast-...
Saved in:
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Epilepsy & Behavior Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589986425000097 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1823859410184699904 |
---|---|
author | Marta Calvo-Imirizaldu Daniele Botta Margitta Seeck Jan Novy Jose Federico Ojeda Esparza Aikaterini Fitsiori Corrado Santarosa Kevin Battistini Karl-Olof Lövblad Felix T. Kurz |
author_facet | Marta Calvo-Imirizaldu Daniele Botta Margitta Seeck Jan Novy Jose Federico Ojeda Esparza Aikaterini Fitsiori Corrado Santarosa Kevin Battistini Karl-Olof Lövblad Felix T. Kurz |
author_sort | Marta Calvo-Imirizaldu |
collection | DOAJ |
description | Commercial ultrahigh-field 7 Tesla (T) MRI has been approved for clinical brain imaging, including applications in epilepsy and brain tumors. Increasing magnetic field strength offers significant advantages over lower-field MRI due to improved spatial resolution, signal-to-noise ratio, and contrast-to-noise ratio. These improvements provide better anatomical delineation and gray-white matter tissue-contrast differentiation.We present a case of a presumed dysembryoplastic neuroepithelial tumor (DNET) imaged at 7 T MRI of the second generation, which revealed an unprecedented level of detail of the complex and intricate tumor architecture. Insights of its different components correlate closely with its known histopathological features. These tumors are unique among low-grade neoplasms due to their distinct clinical presentation, imaging features, and histopathological architecture. DNETs are rare, typically occurring in young patients with refractory epilepsy, and are classified by their well-defined histological subtypes. We review the various MRI patterns of DNET, which have been shown to correlate with histological subtypes and the extent of the epileptogenic zone.Complete tumor resection is essential for long-term control and recurrence prevention, emphasizing the importance of precise preoperative visualization of the tumor and its surrounding tissue. In this case, 7 T images demonstrated superior lesion conspicuity and clearer boundaries, highlighting the advantages of ultrahigh-field MRI in defining the full extent of the lesion. Although 7 T MRI is not yet widely available, it has started to gain an important role in the management of epilepsy, particularly for cases requiring detailed structural analysis. |
format | Article |
id | doaj-art-8e42c52f7f664c1fac8d92f2af89844b |
institution | Kabale University |
issn | 2589-9864 |
language | English |
publishDate | 2025-03-01 |
publisher | Elsevier |
record_format | Article |
series | Epilepsy & Behavior Reports |
spelling | doaj-art-8e42c52f7f664c1fac8d92f2af89844b2025-02-11T04:35:21ZengElsevierEpilepsy & Behavior Reports2589-98642025-03-0129100749Ultrahigh-field imaging (7 Tesla) in DNET: Unmasking microstructural imaging characteristics – A case reportMarta Calvo-Imirizaldu0Daniele Botta1Margitta Seeck2Jan Novy3Jose Federico Ojeda Esparza4Aikaterini Fitsiori5Corrado Santarosa6Kevin Battistini7Karl-Olof Lövblad8Felix T. Kurz9Department of Radiology, University Clinic of Navarra, Pamplona, Spain; Division of Neuroradiology, Geneva University Hospitals, Geneva, SwitzerlandDivision of Neuroradiology, Geneva University Hospitals, Geneva, SwitzerlandDivision of Neurology, Geneva University Hospitals, Geneva, SwitzerlandDivision of Neurology, Lausanne University Hospitals, Lausanne, SwitzerlandDivision of Neuroradiology, Geneva University Hospitals, Geneva, SwitzerlandDivision of Neuroradiology, Geneva University Hospitals, Geneva, SwitzerlandDivision of Neuroradiology, Geneva University Hospitals, Geneva, SwitzerlandDivision of Neuroradiology, Geneva University Hospitals, Geneva, SwitzerlandDivision of Neuroradiology, Geneva University Hospitals, Geneva, SwitzerlandDivision of Neuroradiology, Geneva University Hospitals, Geneva, Switzerland; Corresponding author at: Rue Gabrielle-Perret-Gentil 4, 1205 Geneva, Switzerland.Commercial ultrahigh-field 7 Tesla (T) MRI has been approved for clinical brain imaging, including applications in epilepsy and brain tumors. Increasing magnetic field strength offers significant advantages over lower-field MRI due to improved spatial resolution, signal-to-noise ratio, and contrast-to-noise ratio. These improvements provide better anatomical delineation and gray-white matter tissue-contrast differentiation.We present a case of a presumed dysembryoplastic neuroepithelial tumor (DNET) imaged at 7 T MRI of the second generation, which revealed an unprecedented level of detail of the complex and intricate tumor architecture. Insights of its different components correlate closely with its known histopathological features. These tumors are unique among low-grade neoplasms due to their distinct clinical presentation, imaging features, and histopathological architecture. DNETs are rare, typically occurring in young patients with refractory epilepsy, and are classified by their well-defined histological subtypes. We review the various MRI patterns of DNET, which have been shown to correlate with histological subtypes and the extent of the epileptogenic zone.Complete tumor resection is essential for long-term control and recurrence prevention, emphasizing the importance of precise preoperative visualization of the tumor and its surrounding tissue. In this case, 7 T images demonstrated superior lesion conspicuity and clearer boundaries, highlighting the advantages of ultrahigh-field MRI in defining the full extent of the lesion. Although 7 T MRI is not yet widely available, it has started to gain an important role in the management of epilepsy, particularly for cases requiring detailed structural analysis.http://www.sciencedirect.com/science/article/pii/S25899864250000977T MRIDysembryoplastic neuroepithelial tumorSatellite lesionFocal cortical dysplasiaDrug-resistant epilepsy |
spellingShingle | Marta Calvo-Imirizaldu Daniele Botta Margitta Seeck Jan Novy Jose Federico Ojeda Esparza Aikaterini Fitsiori Corrado Santarosa Kevin Battistini Karl-Olof Lövblad Felix T. Kurz Ultrahigh-field imaging (7 Tesla) in DNET: Unmasking microstructural imaging characteristics – A case report Epilepsy & Behavior Reports 7T MRI Dysembryoplastic neuroepithelial tumor Satellite lesion Focal cortical dysplasia Drug-resistant epilepsy |
title | Ultrahigh-field imaging (7 Tesla) in DNET: Unmasking microstructural imaging characteristics – A case report |
title_full | Ultrahigh-field imaging (7 Tesla) in DNET: Unmasking microstructural imaging characteristics – A case report |
title_fullStr | Ultrahigh-field imaging (7 Tesla) in DNET: Unmasking microstructural imaging characteristics – A case report |
title_full_unstemmed | Ultrahigh-field imaging (7 Tesla) in DNET: Unmasking microstructural imaging characteristics – A case report |
title_short | Ultrahigh-field imaging (7 Tesla) in DNET: Unmasking microstructural imaging characteristics – A case report |
title_sort | ultrahigh field imaging 7 tesla in dnet unmasking microstructural imaging characteristics a case report |
topic | 7T MRI Dysembryoplastic neuroepithelial tumor Satellite lesion Focal cortical dysplasia Drug-resistant epilepsy |
url | http://www.sciencedirect.com/science/article/pii/S2589986425000097 |
work_keys_str_mv | AT martacalvoimirizaldu ultrahighfieldimaging7teslaindnetunmaskingmicrostructuralimagingcharacteristicsacasereport AT danielebotta ultrahighfieldimaging7teslaindnetunmaskingmicrostructuralimagingcharacteristicsacasereport AT margittaseeck ultrahighfieldimaging7teslaindnetunmaskingmicrostructuralimagingcharacteristicsacasereport AT jannovy ultrahighfieldimaging7teslaindnetunmaskingmicrostructuralimagingcharacteristicsacasereport AT josefedericoojedaesparza ultrahighfieldimaging7teslaindnetunmaskingmicrostructuralimagingcharacteristicsacasereport AT aikaterinifitsiori ultrahighfieldimaging7teslaindnetunmaskingmicrostructuralimagingcharacteristicsacasereport AT corradosantarosa ultrahighfieldimaging7teslaindnetunmaskingmicrostructuralimagingcharacteristicsacasereport AT kevinbattistini ultrahighfieldimaging7teslaindnetunmaskingmicrostructuralimagingcharacteristicsacasereport AT karloloflovblad ultrahighfieldimaging7teslaindnetunmaskingmicrostructuralimagingcharacteristicsacasereport AT felixtkurz ultrahighfieldimaging7teslaindnetunmaskingmicrostructuralimagingcharacteristicsacasereport |