Literature DB >> 15477637

Dynamic magnetic resonance perfusion imaging of brain tumors.

Diego J Covarrubias1, Bruce R Rosen, Michael H Lev.   

Abstract

In this paper, we review the technique of contrast-enhanced magnetic resonance (MR) perfusion imaging of brain neoplasms, with an emphasis on its clinical applications and utility. We start with a discussion of MR perfusion techniques available today and their relative merits and shortcomings. Next, the ability of MR perfusion to provide a preoperative assessment of tumor histology is examined. We also discuss the role of MR perfusion in helping guide tumor biopsy, and its advantages over more conventional methods. We will scrutinize the use of MR perfusion for assessing true lesion extent, in contrast to conventional MR imaging and other MR techniques. We will discuss the role of MR perfusion in differentiating treatment effects, such as radiation necrosis, from tumor recurrence. Finally, the future potential applications of this technology in the setting of novel antiangiogenic therapies for brain tumors will be addressed.

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Year:  2004        PMID: 15477637     DOI: 10.1634/theoncologist.9-5-528

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  72 in total

1.  New similarity search based glioma grading.

Authors:  Katrin Haegler; Martin Wiesmann; Christian Böhm; Jessica Freiherr; Oliver Schnell; Hartmut Brückmann; Jörg-Christian Tonn; Jennifer Linn
Journal:  Neuroradiology       Date:  2011-12-14       Impact factor: 2.804

2.  Support vector machine multiparametric MRI identification of pseudoprogression from tumor recurrence in patients with resected glioblastoma.

Authors:  Xintao Hu; Kelvin K Wong; Geoffrey S Young; Lei Guo; Stephen T Wong
Journal:  J Magn Reson Imaging       Date:  2011-02       Impact factor: 4.813

3.  Comment to: Parametric response map as an imaging biomarker to distinguish progression from pseudoprogression in high-grade glioma: pitfalls in perfusion MRI in brain tumors : Tsien C, Galbán CJ, Chenevert TL, Johnson TD, Hamstra DA, Sundgren PC, Junck L, Meyer CR, Rehemtulla A, Lawrence T, Ross BD. J Clin Oncol. 2010;28:2293-9.

Authors:  A Radbruch; M Bendszus; W Wick; S Heiland
Journal:  Clin Neuroradiol       Date:  2010-08       Impact factor: 3.649

4.  Feasibility of high temporal resolution breast DCE-MRI using compressed sensing theory.

Authors:  Haoyu Wang; Yanwei Miao; Kun Zhou; Yanming Yu; Shanglian Bao; Qiang He; Yongming Dai; Stephanie Y Xuan; Bisher Tarabishy; Yongquan Ye; Jiani Hu
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

5.  Differentiation of primary central nervous system lymphomas from high-grade gliomas by rCBV and percentage of signal intensity recovery derived from dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  Z Xing; R X You; J Li; Y Liu; D R Cao
Journal:  Clin Neuroradiol       Date:  2013-08-31       Impact factor: 3.649

Review 6.  Treatment induced necrosis versus recurrent/progressing brain tumor: going beyond the boundaries of conventional morphologic imaging.

Authors:  Rajan Jain; Jayant Narang; Pia M Sundgren; David Hearshen; Sona Saksena; Jack P Rock; Jorge Gutierrez; Tom Mikkelsen
Journal:  J Neurooncol       Date:  2010-02-24       Impact factor: 4.130

Review 7.  Advances in the assessment of childhood brain tumors and treatment-related sequelae.

Authors:  Katherine E Warren
Journal:  Curr Neurol Neurosci Rep       Date:  2005-03       Impact factor: 5.081

8.  Role of rCBV values derived from dynamic susceptibility contrast-enhanced magnetic resonance imaging in differentiating CNS lymphoma from high grade glioma: a meta-analysis.

Authors:  Ruofei Liang; Mao Li; Xiang Wang; Jiewen Luo; Yuan Yang; Qing Mao; Yanhui Liu
Journal:  Int J Clin Exp Med       Date:  2014-12-15

9.  Early time points perfusion imaging: theoretical analysis of correction factors for relative cerebral blood flow estimation given local arterial input function.

Authors:  Kenneth K Kwong; David A Chesler
Journal:  Neuroimage       Date:  2011-04-08       Impact factor: 6.556

10.  Prediction of oligodendroglial histology and LOH 1p/19q using dynamic [(18)F]FET-PET imaging in intracranial WHO grade II and III gliomas.

Authors:  Nathalie L Jansen; Christoph Schwartz; Vera Graute; Sabina Eigenbrod; Jürgen Lutz; Rupert Egensperger; Gabriele Pöpperl; Hans A Kretzschmar; Paul Cumming; Peter Bartenstein; Jörg-Christian Tonn; Friedrich-Wilhelm Kreth; Christian la Fougère; Niklas Thon
Journal:  Neuro Oncol       Date:  2012-10-22       Impact factor: 12.300

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