Share:
Share this content in WeChat
X
Clinical Article
Hemodynamic study of white matter hyperintensities using multi-delay arterial spin labeling
YOU Meng  WU Lin  JIN Cheng  DAI Jiankun  ZHOU Fuqing 

DOI:10.12015/issn.1674-8034.2026.05.005.


[Abstract] Objective To utilize multidelay arterial spin labeling (MDASL) technology to evaluate the hemodynamic characteristics of gray matter in patients with varying severities of white matter hyperintensities (WMH).Materials and Methods A total of 66 eligible participants were enrolled in this study and were categorized into a control group (Fazekas score = 0, n = 22), a mild WMH group (Fazekas score = 1-2, n = 23), and a moderate-to-severe WMH group (Fazekas score = 3-6, n = 21) based on the total Fazekas score. All subjects underwent conventional 3.0 T cranial MRI and MDASL scans. The MDASL sequence, which included seven post labeling delays, was used to obtain parametric maps of cerebral blood flow (CBF), arterial transit time (ATT), and arterial cerebral blood volume (aCBV). The Automated Anatomical Labeling Atlas 3 was employed to extract perfusion parameter values corresponding to various brain regions, facilitating the comparison of hemodynamic differences among the groups.Results (1) No statistically significant differences were observed in the average CBF and aCBV values across all brain regions among the three groups (P > 0.05); (2) ATT analysis revealed that the brain regions with statistically significant differences among the three groups were the right ventral tegmental area (F = 9.813, P = 0.034) and the right substantia nigra pars reticulata (F = 9.327, P = 0.048), while no significant differences were found in the remaining brain regions (P > 0.05). Post hoc pairwise comparisons showed that the moderate-to-severe WMH group exhibited higher ATT values in the right ventral tegmental area and the right substantia nigra pars reticulata compared with both the control group and the mild WMH group (P < 0.05).Conclusions With increasing WMH burden, there was no significant change in gray matter CBF or aCBV. However, ATT was prolonged in the right ventral tegmental area and right substantia nigra pars reticulata, suggesting that ATT prolongation occurs earlier and independently of changes in CBF and aCBV. ATT may serve as a supplementary indicator for hemodynamic assessment in cerebral small vessel disease.
[Keywords] cerebral small vessel disease;white matter hyperintensities;magnetic resonance imaging;magnetic resonance perfusion imaging;arterial spin labeling;multidelay technique

YOU Meng1   WU Lin1   JIN Cheng1   DAI Jiankun2   ZHOU Fuqing1*  

1 Imaging Center of the First Affiliated Hospital of Nanchang University, Jiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Nanchang 330006, China

2 General Electric Medical Systems Trade Development (Shanghai) Co., Ltd, Shanghai 200000, China

Corresponding author: ZHOU F Q, E-mail: ndyfy02301@ncu.edu.cn

Conflicts of interest   None.

Received  2025-11-28
Accepted  2026-03-19
DOI: 10.12015/issn.1674-8034.2026.05.005
DOI:10.12015/issn.1674-8034.2026.05.005.

[1]
Neuroradiology Group of Chinese Society of Radiology of Chinese Medical Association. Expert consensus on the standardized application of MRI in cerebral small vessel diseases[J]. Chin J Radiol, 2024, 58(1): 6-17. DOI: 10.3760/cma.j.cn112149-20231031-00334.
[2]
YE J Y, WANG Z, GONG Y T,et al. Neuroimaging Standards for Research into Cerebral Small Vessel Disease (STRIVE-2) Advances Since 2013[J]. Chin J Stroke, 2023, 18(10): 1160-1174. DOI: 10.3969/j.issn.1673-5765.2023.10.009.
[3]
PRINS N D, SCHELTENS P. White matter hyperintensities, cognitive impairment and dementia: An update[J]. Nat Rev Neurol, 2015, 11(3): 157-165. DOI: 10.1038/nrneurol.2015.10.
[4]
MA Y T, LI Y X, LIU M, et al. Research progress on mechanism of white matter hyperintensity and its correlation with clinical symptoms[J]. Shaanxi Medical Journal, 2022, 51(6): 767-769. DOI: 10.3969/j.issn.1000-7377.2022.06.030.
[5]
LI Y, LUO S L, LI A J, et al. A study assessing ASL perfusion differences based on Fazekas scores of white matter hyperintensities[J]. Anhui Medical Journal, 2024, 45(7): 859-863. DOI: 10.3969/j.issn.1000-0399.2024.07.010.
[6]
CRANE D E, BLACK S E, GANDA A, et al. Gray matter blood flow and volume are reduced in association with white matter hyperintensity lesion burden: A cross-sectional MRI study[J/OL]. Front Aging Neurosci, 2015, 7: 131 [2025-11-28]. https://pmc.ncbi.nlm.nih.gov/articles/PMC4495336. DOI: 10.3389/fnagi.2015.00131.
[7]
KIM C M, ALVARADO R L, STEPHENS K, et al. Associations between cerebral blood flow and structural and functional brain imaging measures in individuals with neuropsychologically defined mild cognitive impairment[J]. Neurobiol Aging, 2020, 86: 64-74. DOI: 10.1016/j.neurobiolaging.2019.10.023.
[8]
HAN H, NING Z, YANG D, et al. Associations between cerebral blood flow and progression of white matter hyperintensity in community-dwelling adults: a longitudinal cohort study[J]. Quant Imaging Med Surg, 2022, 12(8): 4151-4165. DOI: 10.21037/qims-22-141.
[9]
VAN DALEN J W, MUTSAERTS H J M M, NEDERVEEN A J, et al. White Matter Hyperintensity Volume and Cerebral Perfusion in Older Individuals with Hypertension Using Arterial Spin-Labeling[J]. AJNR Am J Neuroradiol, 2016, 37(10): 1824-1830. DOI: 10.3174/ajnr.A4828.
[10]
LIU Y Y, CAO S S, HU P P, et al. Study on mechanism of cerebral blood flow and cognitive impairment related to white matter hyperintensity[J]. Chin J Contemp Neurol Neurosurg, 2021, 21(12): 1064-1072. DOI: 10.3969/j.issn.1672-6731.2021.12.007.
[11]
HERNANDEZ-GARCIA L, LAHIRI A, SCHOLLENBERGER J. Recent progress in ASL[J]. NeuroImage, 2017, 187: 3-16. DOI: 10.1016/j.neuroimage.2017.12.095.
[12]
WOODS J G, ACHTEN E, ASLLANI I, et al. Recommendations for quantitative cerebral perfusion MRI using multi-timepoint arterial spin labeling: Acquisition, quantification, and clinical applications[J]. Magn Reson Med, 2024, 92(2): 469-495. DOI: 10.1002/mrm.30091.
[13]
WOODS J G, CHAPPELL M A, OKELL T W. Designing and comparing optimized pseudo-continuous Arterial Spin Labeling protocols for measurement of cerebral blood flow[J/OL]. Neuroimage, 2020, 223: 117246 [2025-11-28]. https://pmc.ncbi.nlm.nih.gov/articles/PMC7762814. DOI: 10.1016/j.neuroimage.2020.117246.
[14]
WANG D J J, ALGER J R, QIAO J X, et al. Multi-delay multi-parametric arterial spin-labeled perfusion MRI in acute ischemic stroke-Comparison with dynamic susceptibility contrast enhanced perfusion imaging[J/OL]. Neuroimage Clin, 2013, 3: 1-7 [2025-11-28]. https://pmc.ncbi.nlm.nih.gov/articles/PMC3791289. DOI: 10.1016/j.nicl.2013.06.017.
[15]
LIU Z, SHOU Q, JANN K, et al. A Test-Retest Study of Single- and Multi-Delay pCASL for Choroid Plexus Perfusion Imaging in Healthy Subjects Aged 19 to 87 Years[J/OL]. Neuroimage, 2025, 308: 121048 [2025-11-28]. https://pmc.ncbi.nlm.nih.gov/articles/PMC12105218. DOI: 10.1016/j.neuroimage.2025.121048.
[16]
MIKAYAMA R, TOGAO O, OBARA M, et al. Multi-delay arterial spin labeling using a variable repetition time scheme in Moyamoya disease: Comparison with single-delay arterial spin labeling[J/OL]. Eur J Radiol, 2025, 186: 112034 [2025-11-28]. https://www.ejradiology.com/article/S0720-048X(25)00120-2/abstract. DOI: 10.1016/j.ejrad.2025.112034.
[17]
DAMESTANI N L, JACOBY J, YADAV S M, et al. Associations between age, sex, APOE genotype, and regional vascular physiology in typically aging adults[J/OL]. Neuroimage, 2023, 275: 120167 [2025-11-28]. https://pmc.ncbi.nlm.nih.gov/articles/PMC10339339. DOI: 10.1016/j.neuroimage.2023.120167.
[18]
STEWART C R, STRINGER M S, SHI Y, et al. Associations Between White Matter Hyperintensity Burden, Cerebral Blood Flow and Transit Time in Small Vessel Disease: An Updated Meta-Analysis[J/OL]. Front Neurol, 2021, 12: 647848 [2025-11-28]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129542. DOI: 10.3389/fneur.2021.647848.
[19]
SHI Y, THRIPPLETON M J, MAKIN S D, et al. Cerebral blood flow in small vessel disease: A systematic review and meta-analysis[J]. J Cereb Blood Flow Metab, 2016, 36(10): 1653-1667. DOI: 10.1177/0271678X16662891.
[20]
CLAASSEN J A H R, THIJSSEN D H J, PANERAI R B, et al. Regulation of cerebral blood flow in humans: physiology and clinical implications of autoregulation[J]. Physiol Rev, 2021, 101(4): 1487-1559. DOI: 10.1152/physrev.00022.2020.
[21]
HANNAWI Y. Cerebral Small Vessel Disease: a Review of the Pathophysiological Mechanisms[J]. Transl Stroke Res, 2024, 15(6): 1050-1069. DOI: 10.1007/s12975-023-01195-9.
[22]
HU Z, WANG F, LU H M, et al. Quantitative imaging and prediction of cerebral perfusion recovery: a study based on multi-delay arterial spin labeling and collateral flow efficiency[J]. Chin Clin Med Imaging, 2025, 36(7): 457-460. DOI: 10.12117/jccmi.2025.07.001.
[23]
YUN T J, SOHN C H, YOO R E, et al. Transit time corrected arterial spin labeling technique aids to overcome delayed transit time effect[J]. Neuroradiology, 2018, 60(3): 255-265. DOI: 10.1007/s00234-017-1969-x.
[24]
AFZALI-HASHEMI L, BAAS K P A, SCHRANTEE A, et al. Impairment of Cerebrovascular Hemodynamics in Patients With Severe and Milder Forms of Sickle Cell Disease[J/OL]. Front Physiol, 2021, 12: 645205 [2025-11-28]. https://pmc.ncbi.nlm.nih.gov/articles/PMC8093944. DOI: 10.3389/fphys.2021.645205.
[25]
NEUMANN K, GÜNTHER M, DÜZEL E, et al. Microvascular Impairment in Patients With Cerebral Small Vessel Disease Assessed With Arterial Spin Labeling Magnetic Resonance Imaging: A Pilot Study[J/OL]. Front Aging Neurosci, 2022, 14: 871612 [2025-11-28]. https://pmc.ncbi.nlm.nih.gov/articles/PMC9161030. DOI: 10.3389/fnagi.2022.871612.
[26]
WEBB A J S, WERRING D J. New Insights Into Cerebrovascular Pathophysiology and Hypertension[J]. Stroke, 2022, 53(4): 1054-1064. DOI: 10.1161/STROKEAHA.121.035850.
[27]
WARDLAW J M, SMITH C, DICHGANS M. Small vessel disease: mechanisms and clinical implications[J]. Lancet Neurol, 2019, 18(7): 684-696. DOI: 10.1016/S1474-4422(19)30079-1.
[28]
ZHANG R, HUANG P, WANG S, et al. Decreased Cerebral Blood Flow and Delayed Arterial Transit Are Independently Associated With White Matter Hyperintensity[J/OL]. Front Aging Neurosci, 2022, 14: 762745 [2025-11-28]. https://pmc.ncbi.nlm.nih.gov/articles/PMC9197206. DOI: 10.3389/fnagi.2022.762745.
[29]
TAKEUCHI K, ISOZAKI M, HIGASHINO Y, et al. The Utility of Arterial Transit Time Measurement for Evaluating the Hemodynamic Perfusion State of Patients with Chronic Cerebrovascular Stenosis or Occlusive Disease: Correlative Study between MR Imaging and 15O-labeled H2O Positron Emission Tomography[J]. Magn Reson Med Sci, 2023, 22(3): 289-300. DOI: 10.2463/mrms.mp.2020-0123.
[30]
BURLAKOTI A, KUMARATILAKE J, TAYLOR J, et al. Asymmetries of total arterial supply of cerebral hemispheres do not exist[J/OL]. Heliyon, 2019, 5(1): e01086 [2025-11-28]. https://pmc.ncbi.nlm.nih.gov/articles/PMC6328356. DOI: 10.1016/j.heliyon.2018.e01086.
[31]
BRABAN A, LEECH R, MURPHY K, et al. Cerebrovascular Reactivity Has Negligible Contribution to Hemodynamic Lag After Stroke: Implications for Functional Magnetic Resonance Imaging Studies[J]. Stroke, 2023, 54(4): 1066-1077. DOI: 10.1161/STROKEAHA.122.041880.
[32]
GYANWALI B, TAN C S, PETR J, et al. Arterial Spin-Labeling Parameters and Their Associations with Risk Factors, Cerebral Small-Vessel Disease, and Etiologic Subtypes of Cognitive Impairment and Dementia[J]. AJNR Am J Neuroradiol, 2022, 43(10): 1418-1423. DOI: 10.3174/ajnr.A7630.
[33]
KIM T, HENDRICH K S, MASAMOTO K, et al. Arterial versus total blood volume changes during neural activity-induced cerebral blood flow change: implication for BOLD fMRI[J]. J Cereb Blood Flow Metab, 2007, 27(6): 1235-1247. DOI: 10.1038/sj.jcbfm.9600429.
[34]
CHAPPELL M A, MCCONNELL F A K, GOLAY X, et al. Partial volume correction in arterial spin labeling perfusion MRI: A method to disentangle anatomy from physiology or an analysis step too far?[J/OL]. Neuroimage, 2021, 238: 118236 [2025-11-28]. https://pubmed.ncbi.nlm.nih.gov/17180136. DOI: 10.1016/j.neuroimage.2021.118236.
[35]
ALSOP D C, DETRE J A, GOLAY X, et al. Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia[J]. Magn Reson Med, 2015, 73(1): 102-116. DOI: 10.1002/mrm.25197.

PREV Energy consumption analysis of 1.5 T helium-free superconducting magnetic resonance imaging system
NEXT Investigating bidirectional differences in glymphatic system function between vestibular migraine and migraine without aura using DTI-ALPS
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn