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Current Applications of Diffusion Tensor Imaging and Tractography in Intracranial Tumor Resection.
Costabile, Jamie D; Alaswad, Elsa; D'Souza, Shawn; Thompson, John A; Ormond, D Ryan.
Afiliação
  • Costabile JD; Department of Neurosurgery, School of Medicine, University of Colorado, Aurora, CO, United States.
  • Alaswad E; Department of Neurosurgery, School of Medicine, University of Colorado, Aurora, CO, United States.
  • D'Souza S; Department of Neurosurgery, School of Medicine, University of Colorado, Aurora, CO, United States.
  • Thompson JA; Department of Neurosurgery, School of Medicine, University of Colorado, Aurora, CO, United States.
  • Ormond DR; Department of Neurosurgery, School of Medicine, University of Colorado, Aurora, CO, United States.
Front Oncol ; 9: 426, 2019.
Article em En | MEDLINE | ID: mdl-31192130
ABSTRACT
In the treatment of brain tumors, surgical intervention remains a common and effective therapeutic option. Recent advances in neuroimaging have provided neurosurgeons with new tools to overcome the challenge of differentiating healthy tissue from tumor-infiltrated tissue, with the aim of increasing the likelihood of maximizing the extent of resection volume while minimizing injury to functionally important regions. Novel applications of diffusion tensor imaging (DTI), and DTI-derived tractography (DDT) have demonstrated that preoperative, non-invasive mapping of eloquent cortical regions and functionally relevant white matter tracts (WMT) is critical during surgical planning to reduce postoperative deficits, which can decrease quality of life and overall survival. In this review, we summarize the latest developments of applying DTI and tractography in the context of resective surgery and highlight its utility within each stage of the neurosurgical workflow preoperative planning and intraoperative management to improve postoperative outcomes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article