Literature DB >> 24817252

Principles of T2 *-weighted dynamic susceptibility contrast MRI technique in brain tumor imaging.

Mark S Shiroishi1, Gloria Castellazzi, Jerrold L Boxerman, Francesco D'Amore, Marco Essig, Thanh B Nguyen, James M Provenzale, David S Enterline, Nicoletta Anzalone, Arnd Dörfler, Àlex Rovira, Max Wintermark, Meng Law.   

Abstract

Dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) is used to track the first pass of an exogenous, paramagnetic, nondiffusible contrast agent through brain tissue, and has emerged as a powerful tool in the characterization of brain tumor hemodynamics. DSC-MRI parameters can be helpful in many aspects, including tumor grading, prediction of treatment response, likelihood of malignant transformation, discrimination between tumor recurrence and radiation necrosis, and differentiation between true early progression and pseudoprogression. This review aims to provide a conceptual overview of the underlying principles of DSC-MRI of the brain for clinical neuroradiologists, scientists, or students wishing to improve their understanding of the technical aspects, pitfalls, and controversies of DSC perfusion MRI of the brain. Future consensus on image acquisition parameters and postprocessing of DSC-MRI will most likely allow this technique to be evaluated and used in high-quality multicenter studies and ultimately help guide clinical care.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  brain tumors; cerebral blood volume; echo planar imaging; gadolinium-based contrast agents; perfusion magnetic resonance imaging

Mesh:

Substances:

Year:  2014        PMID: 24817252     DOI: 10.1002/jmri.24648

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  37 in total

Review 1.  Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma.

Authors:  Mark S Shiroishi; Jerrold L Boxerman; Whitney B Pope
Journal:  Neuro Oncol       Date:  2015-09-12       Impact factor: 12.300

Review 2.  Accuracy of percentage of signal intensity recovery and relative cerebral blood volume derived from dynamic susceptibility-weighted, contrast-enhanced MRI in the preoperative diagnosis of cerebral tumours.

Authors:  Ananya Chakravorty; Timothy Steel; Joga Chaganti
Journal:  Neuroradiol J       Date:  2015-10-16

Review 3.  Advanced Imaging of Intracranial Meningiomas.

Authors:  Benita Tamrazi; Mark S Shiroishi; Chia-Shang J Liu
Journal:  Neurosurg Clin N Am       Date:  2016-02-18       Impact factor: 2.509

4.  A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth.

Authors:  David A Hormuth; Jared A Weis; Stephanie L Barnes; Michael I Miga; Erin C Rericha; Vito Quaranta; Thomas E Yankeelov
Journal:  J R Soc Interface       Date:  2017-03       Impact factor: 4.118

5.  Evaluation of contrast agent dose and diffusion coefficient measurement on vessel size index estimation.

Authors:  Behrouz Vejdani Afkham; Sadegh Masjoodi; Mohammad Ali Oghabian; Seyed Roholah Ghodsi; Mohammad Reza Nazem Zadeh; Ebrahim Esmati; Mostafa Farzin; Maziar Gilasi; Hasan Hashemi
Journal:  MAGMA       Date:  2019-07-03       Impact factor: 2.310

6.  Utility of Percentage Signal Recovery and Baseline Signal in DSC-MRI Optimized for Relative CBV Measurement for Differentiating Glioblastoma, Lymphoma, Metastasis, and Meningioma.

Authors:  M D Lee; G L Baird; L C Bell; C C Quarles; J L Boxerman
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-01       Impact factor: 3.825

7.  Simultaneous evaluation of brain tumour metabolism, structure and blood volume using [(18)F]-fluoroethyltyrosine (FET) PET/MRI: feasibility, agreement and initial experience.

Authors:  Otto M Henriksen; Vibeke A Larsen; Aida Muhic; Adam E Hansen; Henrik B W Larsson; Hans S Poulsen; Ian Law
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-09-12       Impact factor: 9.236

8.  The preliminary radiogenomics association between MR perfusion imaging parameters and genomic biomarkers, and their predictive performance of overall survival in patients with glioblastoma.

Authors:  Xiang Liu; Rajiv Mangla; Wei Tian; Xing Qiu; Dongmei Li; Kevin A Walter; Sven Ekholm; Mahlon D Johnson
Journal:  J Neurooncol       Date:  2017-09-09       Impact factor: 4.130

Review 9.  Neurovascular Unit: Basic and Clinical Imaging with Emphasis on Advantages of Ferumoxytol.

Authors:  Joao Prola Netto; Jeffrey Iliff; Danica Stanimirovic; Kenneth A Krohn; Bronwyn Hamilton; Csanad Varallyay; Seymur Gahramanov; Heike Daldrup-Link; Christopher d'Esterre; Berislav Zlokovic; Haris Sair; Yueh Lee; Saeid Taheri; Rajan Jain; Ashok Panigrahy; Daniel S Reich; Lester R Drewes; Mauricio Castillo; Edward A Neuwelt
Journal:  Neurosurgery       Date:  2018-06-01       Impact factor: 4.654

10.  Spin-lock imaging of intrinsic susceptibility gradients in tumors.

Authors:  Zhongliang Zu; Vaibhav Janve; John C Gore
Journal:  Magn Reson Med       Date:  2019-12-27       Impact factor: 4.668

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