Literature DB >> 19959004

Magnetic resonance perfusion and permeability imaging in brain tumors.

Saulo Lacerda1, Meng Law.   

Abstract

Recent evidence suggests that vascular permeability and the presence of vascular endothelial growth factor/vascular permeability factor (VEGF/VPF) are important mediators of brain tumor growth in addition to angiogenesis. Perfusion and permeability magnetic resonance (MR) imaging can now measure parameters such as cerebral blood volume and vascular permeability, which can be directly correlated with these histopathologic changes as well as molecular markers such as VEGF. The major techniques currently used in both the clinical and research settings are T1-weighted steady-state dynamic contrast-enhanced MR imaging (DCE MR imaging) and T2 *-weighted first-pass, dynamic susceptibility contrast MR imaging (DSC MR imaging). The advantages and disadvantages of each technique with regard to characterizing tumor biology are discussed in this article. Most clinicians and investigators are currently using the DSC MR imaging T2 *-weighted technique for brain tumor perfusion MR imaging. The existence of multiple approaches to pathologic classification of human glioma implies that there is a lack of consensus among experts as to which is the single best approach. These multiple grading systems do, however, agree on the histologic parameters that are important in the determination of glioma biology, namely hypercellularity, pleomorphism, vascular endothelial proliferation, mitotic activity, and necrosis.

Entities:  

Mesh:

Year:  2009        PMID: 19959004     DOI: 10.1016/j.nic.2009.08.007

Source DB:  PubMed          Journal:  Neuroimaging Clin N Am        ISSN: 1052-5149            Impact factor:   2.264


  52 in total

Review 1.  Biologic imaging of head and neck cancer: the present and the future.

Authors:  A Srinivasan; S Mohan; S K Mukherji
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-22       Impact factor: 3.825

Review 2.  The alphabet soup of perfusion CT and MR imaging: terminology revisited and clarified in five questions.

Authors:  Carlos Leiva-Salinas; James M Provenzale; Kohsuke Kudo; Makoto Sasaki; Max Wintermark
Journal:  Neuroradiology       Date:  2012-04-10       Impact factor: 2.804

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.  Arterial spin labeling in neuroimaging.

Authors:  Sasitorn Petcharunpaisan; Joana Ramalho; Mauricio Castillo
Journal:  World J Radiol       Date:  2010-10-28

Review 5.  Permeability imaging in pediatric brain tumors.

Authors:  Sandi Lam; Yimo Lin; Peter C Warnke
Journal:  Transl Pediatr       Date:  2014-07

Review 6.  MR imaging of neoplastic central nervous system lesions: review and recommendations for current practice.

Authors:  M Essig; N Anzalone; S E Combs; À Dörfler; S-K Lee; P Picozzi; A Rovira; M Weller; M Law
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-20       Impact factor: 3.825

7.  A prognostic model based on preoperative MRI predicts overall survival in patients with diffuse gliomas.

Authors:  A Hilario; J M Sepulveda; A Perez-Nuñez; E Salvador; J M Millan; A Hernandez-Lain; V Rodriguez-Gonzalez; A Lagares; A Ramos
Journal:  AJNR Am J Neuroradiol       Date:  2014-01-23       Impact factor: 3.825

8.  Survival analysis in patients with newly diagnosed primary glioblastoma multiforme using pre- and post-treatment peritumoral perfusion imaging parameters.

Authors:  Asim K Bag; Phillip C Cezayirli; Jake J Davenport; Santhosh Gaddikeri; Hassan M Fathallah-Shaykh; Alan Cantor; Xiaosi S Han; Louis B Nabors
Journal:  J Neurooncol       Date:  2014-08-07       Impact factor: 4.130

Review 9.  Musculoskeletal tumors: how to use anatomic, functional, and metabolic MR techniques.

Authors:  Laura M Fayad; Michael A Jacobs; Xin Wang; John A Carrino; David A Bluemke
Journal:  Radiology       Date:  2012-11       Impact factor: 11.105

Review 10.  Perfusion MRI: the five most frequently asked technical questions.

Authors:  Marco Essig; Mark S Shiroishi; Thanh Binh Nguyen; Marc Saake; James M Provenzale; David Enterline; Nicoletta Anzalone; Arnd Dörfler; Alex Rovira; Max Wintermark; Meng Law
Journal:  AJR Am J Roentgenol       Date:  2013-01       Impact factor: 3.959

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