Cerebrovascular Reactivity Mapping Using Resting‐State Functional MRI in Patients With Gliomas

• Published in: Journal of magnetic resonance imaging Vol. 56; no. 6; pp. 1863 - 1871
• Main Authors: Yeh, Mei‐Yu, Chen, Henry S., Hou, Ping, Kumar, Vinodh A., Johnson, Jason M., Noll, Kyle R., Prabhu, Sujit S., Ferguson, Sherise D., Schomer, Donald F., Peng, Hsu‐Hsia, Liu, Ho‐Ling
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.12.2022; Wiley Subscription Services, Inc
• Subjects: Brain; Brain - blood supply; Brain - diagnostic imaging; Brain cancer; Brain Mapping - methods; brain tumor; breath‐hold (bh); Carbon dioxide; Cerebrovascular Circulation; cerebrovascular reactivity (CVR); Coefficients; Female; Field strength; Frequencies; Frequency ranges; Functional magnetic resonance imaging; Glioma; Glioma - diagnostic imaging; Humans; Image processing; Inhalation; Lesions; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Mapping; MRI; Neuroimaging; Oxygenation; Population studies; Regression analysis; Respiration; resting state (rs); Retrospective Studies; Statistical analysis; Statistical tests; Substantia grisea; Variance analysis; cerebrovascular reactivity (CVR); breath-hold (bh); brain tumor; MRI; resting state (rs)
• ISSN: 1053-1807; 1522-2586
• DOI: 10.1002/jmri.28194

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