Literature DB >> 16237282

Neuroimaging of metastatic brain disease.

Robert J Young1, Allen K Sills, Steven Brem, Edmond A Knopp.   

Abstract

This review discusses imaging techniques for the diagnosis, treatment, and monitoring of brain metastases. It assesses the various modalities on the basis of their respective advantages and limitations. Recent advances in imaging technologies provide evaluation that is more accurate for tumor localization, morphology, physiology, and biology. When used in combination, these technologies provide clinicians with a powerful diagnostic and prognostic tool for managing metastatic brain disease.

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Mesh：

Year:  2005        PMID： 16237282     DOI： 10.1227/01.neu.0000182774.54193.37

Source DB:  PubMed          Journal:  Neurosurgery        ISSN： 0148-396X            Impact factor:   4.654


  5 in total

1.  Diagnostic examination performance by using microvascular leakage, cerebral blood volume, and blood flow derived from 3-T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in the differentiation of glioblastoma multiforme and brain metastasis.

Authors:  Andrés Server; Tone E Døli Orheim; Bjørn A Graff; Roger Josefsen; Theresa Kumar; Per H Nakstad
Journal:  Neuroradiology       Date:  2010-07-13       Impact factor: 2.804

Review 2.  [Supratentorial tumors].

Authors:  I Grunwald; K Dillmann; C Roth; M Backens; W Reith
Journal:  Radiologe       Date:  2007-06       Impact factor: 0.635

Review 3.  The role of magnetic resonance imaging in the management of brain metastases: diagnosis to prognosis.

Authors:  Rasheed Zakaria; Kumar Das; Maneesh Bhojak; Mark Radon; Carol Walker; Michael D Jenkinson
Journal:  Cancer Imaging       Date:  2014-04-22       Impact factor: 3.909

4.  Probabilistic independent component analysis of dynamic susceptibility contrast perfusion MRI in metastatic brain tumors.

Authors:  Ararat Chakhoyan; Catalina Raymond; Jason Chen; Jodi Goldman; Jingwen Yao; Tania B Kaprealian; Nader Pouratian; Benjamin M Ellingson
Journal:  Cancer Imaging       Date:  2019-03-18       Impact factor: 3.909

5.  Diffusion-weighted MRI characteristics of the cerebral metastasis to brain boundary predicts patient outcomes.

Authors:  Rasheed Zakaria; Kumar Das; Mark Radon; Maneesh Bhojak; Philip R Rudland; Vanessa Sluming; Michael D Jenkinson
Journal:  BMC Med Imaging       Date:  2014-08-03       Impact factor: 1.930
  5 in total

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