Literature DB >> 32516388

Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas.

Jerrold L Boxerman1,2,3,4, Chad C Quarles5, Leland S Hu6,7,3, Bradley J Erickson8,7,9,3, Elizabeth R Gerstner10,11, Marion Smits12,13, Timothy J Kaufmann8,7, Daniel P Barboriak14,2,9,3, Raymond H Huang15,16, Wolfgang Wick17,13, Michael Weller18,13, Evanthia Galanis19,7, Jayashree Kalpathy-Cramer20, Lalitha Shankar21, Paula Jacobs21, Caroline Chung22,7, Martin J van den Bent23,13, Susan Chang24, W K Al Yung25, Timothy F Cloughesy26,27, Patrick Y Wen16,11, Mark R Gilbert28,29, Bruce R Rosen20, Benjamin M Ellingson26,30,11,31,2,9,3, Kathleen M Schmainda32,2.   

Abstract

Despite the widespread clinical use of dynamic susceptibility contrast (DSC) MRI, DSC-MRI methodology has not been standardized, hindering its utilization for response assessment in multicenter trials. Recently, the DSC-MRI Standardization Subcommittee of the Jumpstarting Brain Tumor Drug Development Coalition issued an updated consensus DSC-MRI protocol compatible with the standardized brain tumor imaging protocol (BTIP) for high-grade gliomas that is increasingly used in the clinical setting and is the default MRI protocol for the National Clinical Trials Network. After reviewing the basis for controversy over DSC-MRI protocols, this paper provides evidence-based best practices for clinical DSC-MRI as determined by the Committee, including pulse sequence (gradient echo vs spin echo), BTIP-compliant contrast agent dosing (preload and bolus), flip angle (FA), echo time (TE), and post-processing leakage correction. In summary, full-dose preload, full-dose bolus dosing using intermediate (60°) FA and field strength-dependent TE (40-50 ms at 1.5 T, 20-35 ms at 3 T) provides overall best accuracy and precision for cerebral blood volume estimates. When single-dose contrast agent usage is desired, no-preload, full-dose bolus dosing using low FA (30°) and field strength-dependent TE provides excellent performance, with reduced contrast agent usage and elimination of potential systematic errors introduced by variations in preload dose and incubation time.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  DSC-MRI; cerebral blood volume; clinical trial; consensus protocol; high-grade glioma

Mesh:

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Year:  2020        PMID: 32516388      PMCID: PMC7523451          DOI: 10.1093/neuonc/noaa141

Source DB:  PubMed          Journal:  Neuro Oncol        ISSN: 1522-8517            Impact factor:   12.300


  81 in total

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Authors:  Patrick Y Wen; David R Macdonald; David A Reardon; Timothy F Cloughesy; A Gregory Sorensen; Evanthia Galanis; John Degroot; Wolfgang Wick; Mark R Gilbert; Andrew B Lassman; Christina Tsien; Tom Mikkelsen; Eric T Wong; Marc C Chamberlain; Roger Stupp; Kathleen R Lamborn; Michael A Vogelbaum; Martin J van den Bent; Susan M Chang
Journal:  J Clin Oncol       Date:  2010-03-15       Impact factor: 44.544

Review 2.  Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials.

Authors:  Benjamin M Ellingson; Martin Bendszus; Jerrold Boxerman; Daniel Barboriak; Bradley J Erickson; Marion Smits; Sarah J Nelson; Elizabeth Gerstner; Brian Alexander; Gregory Goldmacher; Wolfgang Wick; Michael Vogelbaum; Michael Weller; Evanthia Galanis; Jayashree Kalpathy-Cramer; Lalitha Shankar; Paula Jacobs; Whitney B Pope; Dewen Yang; Caroline Chung; Michael V Knopp; Soonme Cha; Martin J van den Bent; Susan Chang; W K Al Yung; Timothy F Cloughesy; Patrick Y Wen; Mark R Gilbert
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Authors:  C C Quarles; B D Ward; K M Schmainda
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7.  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
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8.  The Role of preload and leakage correction in gadolinium-based cerebral blood volume estimation determined by comparison with MION as a criterion standard.

Authors:  J L Boxerman; D E Prah; E S Paulson; J T Machan; D Bedekar; K M Schmainda
Journal:  AJNR Am J Neuroradiol       Date:  2012-02-09       Impact factor: 3.825

9.  Dynamic susceptibility contrast MRI measures of relative cerebral blood volume as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 multicenter trial.

Authors:  Kathleen M Schmainda; Zheng Zhang; Melissa Prah; Bradley S Snyder; Mark R Gilbert; A Gregory Sorensen; Daniel P Barboriak; Jerrold L Boxerman
Journal:  Neuro Oncol       Date:  2015-02-02       Impact factor: 12.300

10.  Tumor vascularity in the brain: evaluation with dynamic susceptibility-contrast MR imaging.

Authors:  M Maeda; S Itoh; H Kimura; T Iwasaki; N Hayashi; K Yamamoto; Y Ishii; T Kubota
Journal:  Radiology       Date:  1993-10       Impact factor: 11.105

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  32 in total

1.  Response to Letter to Editor.

Authors:  Timothy J Kaufmann; Marion Smits; Jerrold Boxerman; Raymond Huang; Daniel P Barboriak; Michael Weller; Caroline Chung; Christina Tsien; Paul D Brown; Lalitha Shankar; Evanthia Galanis; Elizabeth Gerstner; Martin J van den Bent; Terry C Burns; Ian F Parney; Gavin Dunn; Priscilla K Brastianos; Nancy U Lin; Patrick Y Wen; Benjamin M Ellingson
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6.  In search of predictive and response markers in antiangiogenic therapy of glioblastoma.

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8.  Quantification of tumor microenvironment acidity in glioblastoma using principal component analysis of dynamic susceptibility contrast enhanced MR imaging.

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Review 9.  MRI and PET of Brain Tumor Neuroinflammation in the Era of Immunotherapy, From the AJR Special Series on Inflammation.

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10.  Consensus recommendations for MRI and PET imaging of primary central nervous system lymphoma: guideline statement from the International Primary CNS Lymphoma Collaborative Group (IPCG).

Authors:  Ramon F Barajas; Letterio S Politi; Nicoletta Anzalone; Heiko Schöder; Christopher P Fox; Jerrold L Boxerman; Timothy J Kaufmann; C Chad Quarles; Benjamin M Ellingson; Dorothee Auer; Ovidiu C Andronesi; Andres J M Ferreri; Maciej M Mrugala; Christian Grommes; Edward A Neuwelt; Prakash Ambady; James L Rubenstein; Gerald Illerhaus; Motoo Nagane; Tracy T Batchelor; Leland S Hu
Journal:  Neuro Oncol       Date:  2021-07-01       Impact factor: 12.300

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