Faculty, Staff and Student Publications

Publication Date

12-1-2022

Journal

Journal of Magnetic Resonance Imaging

DOI

10.1002/jmri.28194

PMID

35396789

PMCID

PMC11846080

PubMedCentral® Posted Date

2-22-2025

PubMedCentral® Full Text Version

Author MSS

Abstract

Background: Recently, a data-driven regression analysis method was developed to utilize the resting-state (rs) blood oxygenation level-dependent signal for cerebrovascular reactivity (CVR) mapping (rs-CVR), which was previously optimized by comparing with the CO2 inhalation-based method in health subjects and patients with neurovascular diseases.

Purpose: To investigate the agreement of rs-CVR and the CVR mapping with breath-hold MRI (bh-CVR) in patients with gliomas.

Study type: Retrospective.

Population: Twenty-five patients (12 males, 13 females; mean age ± SD, 48 ± 13 years) with gliomas.

Field strength/sequence: Dynamic T2*-weighted gradient-echo echo-planar imaging during a breath-hold paradigm and during the rs on a 3-T scanner.

Assessment: rs-CVR with various frequency ranges and resting-state fluctuation amplitude (RSFA) were assessed. The agreement between each rs-based CVR measurement and bh-CVR was determined by voxel-wise correlation and Dice coefficient in the whole brain, gray matter, and the lesion region of interest (ROI).

Statistical tests: Voxel-wise Pearson correlation, Dice coefficient, Fisher Z-transformation, repeated-measure analysis of variance and post hoc test with Bonferroni correction, and nonparametric repeated-measure Friedman test and post hoc test with Bonferroni correction were used. Significance was set at P < 0.05.

Results: Compared with bh-CVR, the highest correlations were found at the frequency bands of 0.04-0.08 Hz and 0.02-0.04 Hz for rs-CVR in both whole brain and the lesion ROI. RSFA had significantly lower correlations than did rs-CVR of 0.02-0.04 Hz and a wider frequency range (0-0.1164 Hz). Significantly higher correlations and Dice coefficient were found in normal tissues than in the lesion ROI for all three methods.

Data conclusion: The optimal frequency ranges for rs-CVR are determined by comparing with bh-CVR in patients with gliomas. The rs-CVR method outperformed the RSFA. Significantly higher correlation and Dice coefficient between rs- and bh-CVR were found in normal tissue than in the lesion.

Level of evidence: 3 TECHNICAL EFFICACY STAGE: 2.

Keywords

Male, Female, Humans, Brain Mapping, Cerebrovascular Circulation, Retrospective Studies, Magnetic Resonance Imaging, Brain, Glioma, cerebrovascular reactivity (CVR), MRI, resting state (rs), breath-hold (BH), brain tumor

Published Open-Access

yes

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