Literature DB >> 20708550

Imaging of brain tumors: perfusion/permeability.

Gerard Thompson1, Samantha Jane Mills, Stavros Michael Stivaros, Alan Jackson.   

Abstract

The use of biomarkers of microvascular structure and function from perfusion and permeability imaging is now well established in neuro-oncological research. There remain significant challenges to be overcome before these techniques and related biomarkers can find general clinical acceptance. Core to this is the standardization of acquisition and processing protocols for robust use across multiple clinical sites. The potential clinical benefits of these approaches are already becoming clear, particularly in the setting of novel antiangiogenic therapies. With an increasing body of evidence in the scientific literature, and with a steadily falling barrier to entry, the coming decade should see rapid developments in imaging biomarkers, and facilitate their transition into routine clinical practice. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20708550     DOI: 10.1016/j.nic.2010.04.008

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


  11 in total

1.  ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.

Authors:  K Welker; J Boxerman; A Kalnin; T Kaufmann; M Shiroishi; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-23       Impact factor: 3.825

2.  UMMPerfusion: an open source software tool towards quantitative MRI perfusion analysis in clinical routine.

Authors:  Frank G Zöllner; Gerald Weisser; Marcel Reich; Sven Kaiser; Stefan O Schoenberg; Steven P Sourbron; Lothar R Schad
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

3.  Assessment of irradiated brain metastases using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Daniela B Almeida-Freitas; Marco C Pinho; Maria C G Otaduy; Henrique F Braga; Daniel Meira-Freitas; Claudia da Costa Leite
Journal:  Neuroradiology       Date:  2014-03-21       Impact factor: 2.804

Review 4.  Advances in pediatric neuroimaging.

Authors:  Pradeep Krishnan; Prakash Muthusami; Chris Heyn; Manohar Shroff
Journal:  Indian J Pediatr       Date:  2015-01-06       Impact factor: 1.967

5.  Assessment of brain tumors by magnetic resonance dynamic susceptibility contrast perfusion-weighted imaging and computed tomography perfusion: a comparison study.

Authors:  Elisa Scola; Ilaria Desideri; Andrea Bianchi; Davide Gadda; Giorgio Busto; Alessandro Fiorenza; Tommaso Amadori; Sara Mancini; Vittorio Miele; Enrico Fainardi
Journal:  Radiol Med       Date:  2022-04-20       Impact factor: 6.313

Review 6.  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

7.  Glioma grading capability: comparisons among parameters from dynamic contrast-enhanced MRI and ADC value on DWI.

Authors:  Hyun Seok Choi; Ah Hyun Kim; Sung Soo Ahn; Na-young Shin; Jinna Kim; Seung-Koo Lee
Journal:  Korean J Radiol       Date:  2013-05-02       Impact factor: 3.500

Review 8.  Advanced magnetic resonance imaging biomarkers of cerebral metastases.

Authors:  S J Mills; G Thompson; A Jackson
Journal:  Cancer Imaging       Date:  2012-08-10       Impact factor: 3.909

Review 9.  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

10.  Quantitative Evaluation of Diffusion and Dynamic Contrast-Enhanced MR in Tumor Parenchyma and Peritumoral Area for Distinction of Brain Tumors.

Authors:  Jing Zhao; Zhi-yun Yang; Bo-ning Luo; Jian-yong Yang; Jian-ping Chu
Journal:  PLoS One       Date:  2015-09-18       Impact factor: 3.240

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