| Literature DB >> 35503481 |
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.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