Literature DB >> 25907520

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

K Welker1, J Boxerman2, A Kalnin3, T Kaufmann4, M Shiroishi5, M Wintermark6.   

Abstract

MR perfusion imaging is becoming an increasingly common means of evaluating a variety of cerebral pathologies, including tumors and ischemia. In particular, there has been great interest in the use of MR perfusion imaging for both assessing brain tumor grade and for monitoring for tumor recurrence in previously treated patients. Of the various techniques devised for evaluating cerebral perfusion imaging, the dynamic susceptibility contrast method has been employed most widely among clinical MR imaging practitioners. However, when implementing DSC MR perfusion imaging in a contemporary radiology practice, a neuroradiologist is confronted with a large number of decisions. These include choices surrounding appropriate patient selection, scan-acquisition parameters, data-postprocessing methods, image interpretation, and reporting. Throughout the imaging literature, there is conflicting advice on these issues. In an effort to provide guidance to neuroradiologists struggling to implement DSC perfusion imaging in their MR imaging practice, the Clinical Practice Committee of the American Society of Functional Neuroradiology has provided the following recommendations. This guidance is based on review of the literature coupled with the practice experience of the authors. While the ASFNR acknowledges that alternate means of carrying out DSC perfusion imaging may yield clinically acceptable results, the following recommendations should provide a framework for achieving routine success in this complicated-but-rewarding aspect of neuroradiology MR imaging practice.
© 2015 by American Journal of Neuroradiology.

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Mesh:

Year:  2015        PMID: 25907520      PMCID: PMC5074767          DOI: 10.3174/ajnr.A4341

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  120 in total

Review 1.  Imaging of brain tumors: perfusion/permeability.

Authors:  Gerard Thompson; Samantha Jane Mills; Stavros Michael Stivaros; Alan Jackson
Journal:  Neuroimaging Clin N Am       Date:  2010-08       Impact factor: 2.264

Review 2.  Perfusion MRI using dynamic-susceptibility contrast MRI: quantification issues in patient studies.

Authors:  Fernando Calamante
Journal:  Top Magn Reson Imaging       Date:  2010-04

3.  Combined spin- and gradient-echo perfusion-weighted imaging.

Authors:  Heiko Schmiedeskamp; Matus Straka; Rexford D Newbould; Greg Zaharchuk; Jalal B Andre; Jean-Marc Olivot; Michael E Moseley; Gregory W Albers; Roland Bammer
Journal:  Magn Reson Med       Date:  2011-11-23       Impact factor: 4.668

4.  Standardization of relative cerebral blood volume (rCBV) image maps for ease of both inter- and intrapatient comparisons.

Authors:  Devyani Bedekar; Todd Jensen; Kathleen M Schmainda
Journal:  Magn Reson Med       Date:  2010-09       Impact factor: 4.668

5.  Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas [corrected].

Authors:  Michael H Lev; Yelda Ozsunar; John W Henson; Amjad A Rasheed; Glenn D Barest; Griffith R Harsh; Markus M Fitzek; E Antonio Chiocca; James D Rabinov; Andrew N Csavoy; Bruce R Rosen; Fred H Hochberg; Pamela W Schaefer; R Gilberto Gonzalez
Journal:  AJNR Am J Neuroradiol       Date:  2004-02       Impact factor: 3.825

6.  Improved tumor oxygenation and survival in glioblastoma patients who show increased blood perfusion after cediranib and chemoradiation.

Authors:  Tracy T Batchelor; Elizabeth R Gerstner; Kyrre E Emblem; Dan G Duda; Jayashree Kalpathy-Cramer; Matija Snuderl; Marek Ancukiewicz; Pavlina Polaskova; Marco C Pinho; Dominique Jennings; Scott R Plotkin; Andrew S Chi; April F Eichler; Jorg Dietrich; Fred H Hochberg; Christine Lu-Emerson; A John Iafrate; S Percy Ivy; Bruce R Rosen; Jay S Loeffler; Patrick Y Wen; A Greg Sorensen; Rakesh K Jain
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-04       Impact factor: 11.205

7.  Differentiation of primary central nervous system lymphomas and glioblastomas: comparisons of diagnostic performance of dynamic susceptibility contrast-enhanced perfusion MR imaging without and with contrast-leakage correction.

Authors:  C H Toh; K-C Wei; C-N Chang; S-H Ng; H-F Wong
Journal:  AJNR Am J Neuroradiol       Date:  2013-01-24       Impact factor: 3.825

8.  Effects of echo time variation on perfusion assessment using dynamic susceptibility contrast MR imaging at 3 tesla.

Authors:  O Thilmann; E-M Larsson; I M Björkman-Burtscher; F Ståhlberg; R Wirestam
Journal:  Magn Reson Imaging       Date:  2004-09       Impact factor: 2.546

9.  Optimal Tmax threshold for predicting penumbral tissue in acute stroke.

Authors:  Jean-Marc Olivot; Michael Mlynash; Vincent N Thijs; Stephanie Kemp; Maarten G Lansberg; Lawrence Wechsler; Roland Bammer; Michael P Marks; Gregory W Albers
Journal:  Stroke       Date:  2008-12-24       Impact factor: 7.914

10.  Using relative cerebral blood flow and volume to evaluate the histopathologic grade of cerebral gliomas: preliminary results.

Authors:  Ji Hoon Shin; Ho Kyu Lee; Byung Duk Kwun; Jin-Suh Kim; Weechang Kang; Choong Gon Choi; Dae Chul Suh
Journal:  AJR Am J Roentgenol       Date:  2002-09       Impact factor: 3.959

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  77 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

2.  Cerebral blood volume mapping with ferumoxytol in dynamic susceptibility contrast perfusion MRI: Comparison to standard of care.

Authors:  Csanad G Varallyay; Eric Nesbit; Andrea Horvath; Peter Varallyay; Rongwei Fu; Seymur Gahramanov; Leslie L Muldoon; Xin Li; William D Rooney; Edward A Neuwelt
Journal:  J Magn Reson Imaging       Date:  2018-01-04       Impact factor: 4.813

3.  Performance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic Biopsies.

Authors:  J M Hoxworth; J M Eschbacher; A C Gonzales; K W Singleton; G D Leon; K A Smith; A M Stokes; Y Zhou; G L Mazza; A B Porter; M M Mrugala; R S Zimmerman; B R Bendok; D P Patra; C Krishna; J L Boxerman; L C Baxter; K R Swanson; C C Quarles; K M Schmainda; L S Hu
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-12       Impact factor: 3.825

4.  Characterizing white matter fiber orientation effects on multi-parametric quantitative BOLD assessment of oxygen extraction fraction.

Authors:  Stephan Kaczmarz; Jens Göttler; Claus Zimmer; Fahmeed Hyder; Christine Preibisch
Journal:  J Cereb Blood Flow Metab       Date:  2019-04-05       Impact factor: 6.200

Review 5.  Current concepts and challenges in the radiologic assessment of brain tumors in children: part 2.

Authors:  Benita Tamrazi; Kshitij Mankad; Marvin Nelson; Felice D'Arco
Journal:  Pediatr Radiol       Date:  2018-09-13

6.  Discrimination between Glioblastoma and Solitary Brain Metastasis: Comparison of Inflow-Based Vascular-Space-Occupancy and Dynamic Susceptibility Contrast MR Imaging.

Authors:  X Li; D Wang; S Liao; L Guo; X Xiao; X Liu; Y Xu; J Hua; J J Pillai; Y Wu
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-05       Impact factor: 3.825

Review 7.  Translating preclinical MRI methods to clinical oncology.

Authors:  David A Hormuth; Anna G Sorace; John Virostko; Richard G Abramson; Zaver M Bhujwalla; Pedro Enriquez-Navas; Robert Gillies; John D Hazle; Ralph P Mason; C Chad Quarles; Jared A Weis; Jennifer G Whisenant; Junzhong Xu; Thomas E Yankeelov
Journal:  J Magn Reson Imaging       Date:  2019-03-29       Impact factor: 4.813

8.  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

9.  Static 18F-FET PET and DSC-PWI based on hybrid PET/MR for the prediction of gliomas defined by IDH and 1p/19q status.

Authors:  Shuangshuang Song; Leiming Wang; Hongwei Yang; Yongzhi Shan; Ye Cheng; Lixin Xu; Chengyan Dong; Guoguang Zhao; Jie Lu
Journal:  Eur Radiol       Date:  2020-11-19       Impact factor: 5.315

Review 10.  MR Imaging Biomarkers in Oncology Clinical Trials.

Authors:  Richard G Abramson; Lori R Arlinghaus; Adrienne N Dula; C Chad Quarles; Ashley M Stokes; Jared A Weis; Jennifer G Whisenant; Eduard Y Chekmenev; Igor Zhukov; Jason M Williams; Thomas E Yankeelov
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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