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

Jumpstarting Brain Tumor Drug Development Coalition Imaging Standardization Steering Committee

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1262-1275
Number of pages14
JournalNeuro-oncology
Volume22
Issue number9
DOIs
StatePublished - Sep 29 2020

Keywords

  • DSC-MRI
  • cerebral blood volume
  • clinical trial
  • consensus protocol
  • high-grade glioma

ASJC Scopus subject areas

  • Oncology
  • Clinical Neurology
  • Cancer Research

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