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

Autor: Silvestri E; Department of Information Engineering, University of Padova, 35131, Padua, Italy.; Padova Neuroscience Center, University of Padova, 35129, Padua, Italy., Villani U; Department of Information Engineering, University of Padova, 35131, Padua, Italy.; Padova Neuroscience Center, University of Padova, 35129, Padua, Italy., Moretto M; Department of Information Engineering, University of Padova, 35131, Padua, Italy.; Padova Neuroscience Center, University of Padova, 35129, Padua, Italy., Colpo M; Department of Information Engineering, University of Padova, 35131, Padua, Italy.; Padova Neuroscience Center, University of Padova, 35129, Padua, Italy., Salvalaggio A; Padova Neuroscience Center, University of Padova, 35129, Padua, Italy.; Department of Neuroscience, University of Padova, 35128, Padua, Italy., Anglani M; Neuroradiology Unit, University Hospital of Padova, Padua, Italy., Castellaro M; Department of Information Engineering, University of Padova, 35131, Padua, Italy., Facchini S; Padova Neuroscience Center, University of Padova, 35129, Padua, Italy.; Department of Neuroscience, University of Padova, 35128, Padua, Italy., Monai E; Padova Neuroscience Center, University of Padova, 35129, Padua, Italy.; Department of Neuroscience, University of Padova, 35128, Padua, Italy., D'Avella D; Department of Neuroscience, University of Padova, 35128, Padua, Italy., Della Puppa A; Neurosurgery, Department of NEUROFARBA, University Hospital of Careggi, University of Florence, 50139, Florence, Italy., Cecchin D; Padova Neuroscience Center, University of Padova, 35129, Padua, Italy.; Department of Medicine, Unit of Nuclear Medicine, University of Padova, Padua, Italy., Corbetta M; Padova Neuroscience Center, University of Padova, 35129, Padua, Italy.; Department of Neuroscience, University of Padova, 35128, Padua, Italy.; Venetian Institute of Molecular Medicine, 35129, Padua, Italy., Bertoldo A; Department of Information Engineering, University of Padova, 35131, Padua, Italy. alessandra.bertoldo@unipd.it.; Padova Neuroscience Center, University of Padova, 35129, Padua, Italy. alessandra.bertoldo@unipd.it.
Jazyk: angličtina
Zdroj: Brain structure & function [Brain Struct Funct] 2022 Dec; Vol. 227 (9), pp. 3109-3120. Date of Electronic Publication: 2022 May 03.
DOI: 10.1007/s00429-022-02494-x
Abstrakt: 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).)
Databáze: MEDLINE
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