17
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Constrained-Spherical Deconvolution Tractography in the Evaluation of the Corticospinal Tract in Glioma Surgery

      methods-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction: Tractography has demonstrated utility for surgical resection in the setting of primary brain tumors involving eloquent white matter (WM) pathways.

          Methods: Twelve patients with glioma in or near eloquent motor areas were analyzed. The motor status was recorded before and after surgery. Two different tractography approaches were used to generate the motor corticospinal tract (CST): Constrained spherical deconvolution probabilistic tractography (CSD-Prob) and single tensor deterministic tractography (Tens-DET). To define the degree of disruption of the CST after surgical resection of the tumor, we calculated the percentage of the CST affected by surgical resection, which was then correlated with the postoperative motor status. Moreover, the fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of the CST generated by the CSD-Prob and the Tens-DET was measured and compared between the ipsilesional and contralesional side.

          Results: The CST was identified in all patients and its trajectory was displaced by the tumor. Only the CSD-Prob approach showed the CST with the characteristic fan-like projections from the precentral gyrus to the brainstem. Disruption of the CST was identified in 6/6 with postoperative motor deficit by CSD-Prob approach and in 5/6 in the Tens-DET. The degree of disruption was significantly associated with the motor deficit with the CSD-Prob approach ( rho = −0.88, p = 0.021). However, with the Tens-DET approach the CST disruption did not show significant association with the motor function ( rho = −0.27, p = 0.6). There was a significant decrease in FA ( p = 0.006) and a significant increase in MD ( p = 0.0004) and RD ( p = 0.005) on the ipsilesional CST compared with the contralesional CST only with the CSD-Prob approach.

          Conclusion: CSD-Prob accurately represented the known anatomy of the CST and provided a meaningful estimate of microstructural changes of the CST affected by the tumor and its macrostructural damage after surgery. Newer surgical planning stations should include advanced models and algorithms of tractography in order to obtain more meaningful reconstructions of the WM pathways during glioma surgery.

          Related collections

          Most cited references38

          • Record: found
          • Abstract: found
          • Article: found

          The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

          The 2016 World Health Organization Classification of Tumors of the Central Nervous System is both a conceptual and practical advance over its 2007 predecessor. For the first time, the WHO classification of CNS tumors uses molecular parameters in addition to histology to define many tumor entities, thus formulating a concept for how CNS tumor diagnoses should be structured in the molecular era. As such, the 2016 CNS WHO presents major restructuring of the diffuse gliomas, medulloblastomas and other embryonal tumors, and incorporates new entities that are defined by both histology and molecular features, including glioblastoma, IDH-wildtype and glioblastoma, IDH-mutant; diffuse midline glioma, H3 K27M-mutant; RELA fusion-positive ependymoma; medulloblastoma, WNT-activated and medulloblastoma, SHH-activated; and embryonal tumour with multilayered rosettes, C19MC-altered. The 2016 edition has added newly recognized neoplasms, and has deleted some entities, variants and patterns that no longer have diagnostic and/or biological relevance. Other notable changes include the addition of brain invasion as a criterion for atypical meningioma and the introduction of a soft tissue-type grading system for the now combined entity of solitary fibrous tumor / hemangiopericytoma-a departure from the manner by which other CNS tumors are graded. Overall, it is hoped that the 2016 CNS WHO will facilitate clinical, experimental and epidemiological studies that will lead to improvements in the lives of patients with brain tumors.
            • Record: found
            • Abstract: found
            • Article: not found

            FSL.

            FSL (the FMRIB Software Library) is a comprehensive library of analysis tools for functional, structural and diffusion MRI brain imaging data, written mainly by members of the Analysis Group, FMRIB, Oxford. For this NeuroImage special issue on "20 years of fMRI" we have been asked to write about the history, developments and current status of FSL. We also include some descriptions of parts of FSL that are not well covered in the existing literature. We hope that some of this content might be of interest to users of FSL, and also maybe to new research groups considering creating, releasing and supporting new software packages for brain image analysis. Copyright © 2011 Elsevier Inc. All rights reserved.
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

              In this paper we describe a method for retrospective estimation and correction of eddy current (EC)-induced distortions and subject movement in diffusion imaging. In addition a susceptibility-induced field can be supplied and will be incorporated into the calculations in a way that accurately reflects that the two fields (susceptibility- and EC-induced) behave differently in the presence of subject movement. The method is based on registering the individual volumes to a model free prediction of what each volume should look like, thereby enabling its use on high b-value data where the contrast is vastly different in different volumes. In addition we show that the linear EC-model commonly used is insufficient for the data used in the present paper (high spatial and angular resolution data acquired with Stejskal–Tanner gradients on a 3 T Siemens Verio, a 3 T Siemens Connectome Skyra or a 7 T Siemens Magnetome scanner) and that a higher order model performs significantly better. The method is already in extensive practical use and is used by four major projects (the WU-UMinn HCP, the MGH HCP, the UK Biobank and the Whitehall studies) to correct for distortions and subject movement.

                Author and article information

                Contributors
                Journal
                Front Surg
                Front Surg
                Front. Surg.
                Frontiers in Surgery
                Frontiers Media S.A.
                2296-875X
                29 July 2021
                2021
                : 8
                : 646465
                Affiliations
                [1] 1Juha Hernesniemi International Neurosurgery Center, Zhengzhou University People's Hospital (Henan Provincial People's Hospital) , Zhengzhou, China
                [2] 2Department of Radiology, People's Hospital of Zhengzhou University (Henan Provincial People's Hospital) , Zhengzhou, China
                [3] 3Division of Neurosurgery, Department of Surgery, University of Toronto , Toronto, ON, Canada
                [4] 4Multi Scale Robotics Laboratory, ETH Zurich , Zurich, Switzerland
                [5] 5Department of Neurosurgery, Center for Neuromodulation, Mount Sinai Health System , New York, NY, United States
                Author notes

                Edited by: Ben Jeurissen, University of Antwerp, Belgium

                Reviewed by: John A. Thompson, University of Colorado, United States; Alberto De Luca, University Medical Center Utrecht, Netherlands

                *Correspondence: Josue M. Avecillas-Chasin josueavecillas@ 123456hotmail.com

                This article was submitted to Neurosurgery, a section of the journal Frontiers in Surgery

                †These authors have contributed equally to this work and share senior authorship

                Article
                10.3389/fsurg.2021.646465
                8358074
                34395506
                06df26d2-0f60-4589-a695-49520d13ecd4
                Copyright © 2021 Sheng, Yu, Chen, Sun, Bu, Wang, Sarica, Hernesniemi, Nelson, Zemmar and Avecillas-Chasin.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 26 December 2020
                : 24 May 2021
                Page count
                Figures: 5, Tables: 1, Equations: 0, References: 38, Pages: 9, Words: 5596
                Categories
                Surgery
                Methods

                glioma,tractography,white matter,surgical resection,corticospinal tract

                Comments

                Comment on this article

                Related Documents Log