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Optimization of DSC MRI Echo Times for CBV Measurements Using Error Analysis in a Pilot Study of High-Grade Gliomas. AJNR Am J Neuroradiol 2017 Sep;38(9):1710-1715 PMID: 28684456 PMCID: PMC5591773

Pubmed ID

28684456

Abstract

BACKGROUND AND PURPOSE: The optimal TE must be calculated to minimize the variance in CBV measurements made with DSC MR imaging. Simulations can be used to determine the influence of the TE on CBV, but they may not adequately recapitulate the in vivo heterogeneity of precontrast T2*, contrast agent kinetics, and the biophysical basis of contrast agent-induced T2* changes. The purpose of this study was to combine quantitative multiecho DSC MRI T2* time curves with error analysis in order to compute the optimal TE for a traditional single-echo acquisition.

MATERIALS AND METHODS: Eleven subjects with high-grade gliomas were scanned at 3T with a dual-echo DSC MR imaging sequence to quantify contrast agent-induced T2* changes in this retrospective study. Optimized TEs were calculated with propagation of error analysis for high-grade glial tumors, normal-appearing white matter, and arterial input function estimation.

RESULTS: The optimal TE is a weighted average of the T2* values that occur as a contrast agent bolus transverses a voxel. The mean optimal TEs were 30.0 ± 7.4 ms for high-grade glial tumors, 36.3 ± 4.6 ms for normal-appearing white matter, and 11.8 ± 1.4 ms for arterial input function estimation (repeated-measures ANOVA, < .001).

CONCLUSIONS: Greater heterogeneity was observed in the optimal TE values for high-grade gliomas, and mean values of all 3 ROIs were statistically significant. The optimal TE for the arterial input function estimation is much shorter; this finding implies that quantitative DSC MR imaging acquisitions would benefit from multiecho acquisitions. In the case of a single-echo acquisition, the optimal TE prescribed should be 30-35 ms (without a preload) and 20-30 ms (with a standard full-dose preload).

Author List

Bell LC, Does MD, Stokes AM, Baxter LC, Schmainda KM, Dueck AC, Quarles CC

Author

Kathleen M. Schmainda PhD Professor in the Radiology department at Medical College of Wisconsin




Scopus

2-s2.0-85029232690   1 Citations

MESH terms used to index this publication - Major topics in bold

Adult
Aged
Algorithms
Brain Neoplasms
Cerebral Arteries
Cohort Studies
Contrast Media
Echo-Planar Imaging
Female
Glioma
Humans
Image Processing, Computer-Assisted
Male
Middle Aged
Pilot Projects
Retrospective Studies
White Matter
jenkins-FCD Prod-256 97250b83e4554f37bec91ca291f44ff4aedcc508