Tracking the Corticospinal Tract in Patients With High-Grade Glioma: Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches.

brain tumor corticospinal tract (CST) diffusion MRI fiber tractography neurosurgery planning

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2021
Historique:
received: 19 08 2021
accepted: 15 11 2021
entrez: 31 12 2021
pubmed: 1 1 2022
medline: 1 1 2022
Statut: epublish

Résumé

While the diagnosis of high-grade glioma (HGG) is still associated with a considerably poor prognosis, neurosurgical tumor resection provides an opportunity for prolonged survival and improved quality of life for affected patients. However, successful tumor resection is dependent on a proper surgical planning to avoid surgery-induced functional deficits whilst achieving a maximum extent of resection (EOR). With diffusion magnetic resonance imaging (MRI) providing insight into individual white matter neuroanatomy, the challenge remains to disentangle that information as correctly and as completely as possible. In particular, due to the lack of sensitivity and accuracy, the clinical value of widely used diffusion tensor imaging (DTI)-based tractography is increasingly questioned. We evaluated whether the recently developed multi-level fiber tracking (MLFT) technique can improve tractography of the corticospinal tract (CST) in patients with motor-eloquent HGGs. Forty patients with therapy-naïve HGGs (mean age: 62.6 ± 13.4 years, 57.5% males) and preoperative diffusion MRI [repetition time (TR)/echo time (TE): 5000/78 ms, voxel size: 2x2x2 mm

Identifiants

pubmed: 34970486
doi: 10.3389/fonc.2021.761169
pmc: PMC8712728
doi:

Types de publication

Journal Article

Langues

eng

Pagination

761169

Informations de copyright

Copyright © 2021 Zhylka, Sollmann, Kofler, Radwan, De Luca, Gempt, Wiestler, Menze, Krieg, Zimmer, Kirschke, Sunaert, Leemans and Pluim.

Déclaration de conflit d'intérêts

NS received honoraria from Nexstim Plc (Helsinki, Finland) and Philips Healthcare (Best, The Netherlands). SK is consultant for Ulrich medical (Ulm, Germany) and Brainlab AG (Munich, Germany) and received honoraria from Nexstim Plc (Helsinki, Finland), Spineart Deutschland GmbH (Frankfurt, Germany), Medtronic (Meerbusch, Germany) and Carl Zeiss Meditec (Oberkochen, Germany). The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Andrey Zhylka (A)

Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands.

Nico Sollmann (N)

Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany.
Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.

Florian Kofler (F)

Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany.
TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany.

Ahmed Radwan (A)

Department of Imaging and Pathology, Translational MRI, Katholieke Universiteit (KU) Leuven, Leuven, Belgium.
Department of Neurosciences, Leuven Brain Institute (LBI), Katholieke Universiteit (KU) Leuven, Leuven, Belgium.

Alberto De Luca (A)

Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands.
Neurology Department, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, Netherlands.

Jens Gempt (J)

Department of Neurosurgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Benedikt Wiestler (B)

Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Munich, Germany.

Bjoern Menze (B)

Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany.
Department of Quantitative Biomedicine, University of Zurich (UZ), Zurich, Switzerland.

Sandro M Krieg (SM)

TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Department of Neurosurgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Claus Zimmer (C)

Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Jan S Kirschke (JS)

Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Stefan Sunaert (S)

Department of Imaging and Pathology, Translational MRI, Katholieke Universiteit (KU) Leuven, Leuven, Belgium.
Department of Neurosciences, Leuven Brain Institute (LBI), Katholieke Universiteit (KU) Leuven, Leuven, Belgium.
Department of Radiology, Universitair Ziekenhuis (UZ) Leuven, Leuven, Belgium.

Alexander Leemans (A)

Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands.

Josien P W Pluim (JPW)

Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands.

Classifications MeSH