Literature DB >> 35503481

Assessment of structural disconnections in gliomas: comparison of indirect and direct approaches.

Erica Silvestri1,2, Umberto Villani1,2, Manuela Moretto1,2, Maria Colpo1,2, Alessandro Salvalaggio2,3, Mariagiulia Anglani4, Marco Castellaro1, Silvia Facchini2,3, Elena Monai2,3, Domenico D'Avella3, Alessandro Della Puppa5, Diego Cecchin2,6, Maurizio Corbetta2,3,7, Alessandra Bertoldo8,9.   

Abstract

Gliomas are amongst the most common primary brain tumours in adults and are often associated with poor prognosis. Understanding the extent of white matter (WM) which is affected outside the tumoral lesion may be of paramount importance to explain cognitive deficits and the clinical progression of the disease. To this end, we explored both direct (i.e., tractography based) and indirect (i.e., atlas-based) approaches to quantifying WM structural disconnections in a cohort of 44 high- and low-grade glioma patients. While these methodologies have recently gained popularity in the context of stroke and other pathologies, to our knowledge, this is the first time they are applied in patients with brain tumours. More specifically, in this work, we present a quantitative comparison of the disconnection maps provided by the two methodologies by applying well-known metrics of spatial similarity, extension, and correlation. Given the important role the oedematous tissue plays in the physiopathology of tumours, we performed these analyses both by including and excluding it in the definition of the tumoral lesion. This was done to investigate possible differences determined by this choice. We found that direct and indirect approaches offer two distinct pictures of structural disconnections in patients affected by brain gliomas, presenting key differences in several regions of the brain. Following the outcomes of our analysis, we eventually discuss the strengths and pitfalls of these two approaches when applied in this critical field.
© 2022. The Author(s).

Entities:  

Keywords:  Diffusion MRI; Glioma; Structural disconnection; Tractography

Year:  2022        PMID: 35503481     DOI: 10.1007/s00429-022-02494-x

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.748


  39 in total

1.  White matter fiber tracking in patients with space-occupying lesions of the brain: a new technique for neurosurgical planning?

Authors:  Chris A Clark; Thomas R Barrick; Mary M Murphy; B Anthony Bell
Journal:  Neuroimage       Date:  2003-11       Impact factor: 6.556

2.  Track-density imaging (TDI): super-resolution white matter imaging using whole-brain track-density mapping.

Authors:  Fernando Calamante; Jacques-Donald Tournier; Graeme D Jackson; Alan Connelly
Journal:  Neuroimage       Date:  2010-07-17       Impact factor: 6.556

3.  Unified segmentation.

Authors:  John Ashburner; Karl J Friston
Journal:  Neuroimage       Date:  2005-04-01       Impact factor: 6.556

4.  COMMIT: Convex optimization modeling for microstructure informed tractography.

Authors:  Alessandro Daducci; Alessandro Dal Palù; Alia Lemkaddem; Jean-Philippe Thiran
Journal:  IEEE Trans Med Imaging       Date:  2014-08-27       Impact factor: 10.048

5.  Topological map of the body in post-stroke patients: Lesional and hodological aspects.

Authors:  Antonella Di Vita; Liana Palermo; Maddalena Boccia; Cecilia Guariglia
Journal:  Neuropsychology       Date:  2019-02-07       Impact factor: 3.295

Review 6.  The connectomics of brain disorders.

Authors:  Alex Fornito; Andrew Zalesky; Michael Breakspear
Journal:  Nat Rev Neurosci       Date:  2015-03       Impact factor: 34.870

7.  A reproducible evaluation of ANTs similarity metric performance in brain image registration.

Authors:  Brian B Avants; Nicholas J Tustison; Gang Song; Philip A Cook; Arno Klein; James C Gee
Journal:  Neuroimage       Date:  2010-09-17       Impact factor: 6.556

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

Authors:  Jesper L R Andersson; Stamatios N Sotiropoulos
Journal:  Neuroimage       Date:  2015-10-20       Impact factor: 6.556

9.  Advanced lesion symptom mapping analyses and implementation as BCBtoolkit.

Authors:  Chris Foulon; Leonardo Cerliani; Serge Kinkingnéhun; Richard Levy; Charlotte Rosso; Marika Urbanski; Emmanuelle Volle; Michel Thiebaut de Schotten
Journal:  Gigascience       Date:  2018-03-01       Impact factor: 6.524

10.  Surgery for Malignant Brain Gliomas: Fluorescence-Guided Resection or Functional-Based Resection?

Authors:  Hugues Duffau
Journal:  Front Surg       Date:  2019-04-12
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