Measurement of blood–brain barrier water exchange rate using diffusion‐prepared and multi‐echo arterial spin labelling: Comparison of quantitative values and age dependence

Water exchange rate (Kw) across the blood-brain barrier (BBB) is an important physiological parameter that may provide new insight into ageing and neurodegenerative disease. Recently, two non-invasive arterial spin labelling (ASL) MRI methods have been developed to measure Kw, but results from the different methods have not been directly compared. Furthermore, the association of Kw with age for each method has not been investigated in a single cohort. Thirty participants (70% female, 63.8 ± 10.4 years) were scanned at 3 T with Diffusion-Prepared ASL (DP-ASL) and Multi-Echo ASL (ME-ASL) using previously implemented acquisition and analysis protocols. Grey matter Kw, cerebral blood flow (CBF) and arterial transit time (ATT) were extracted. CBF values were consistent; approximately 50 ml/min/100 g for both methods, and a strong positive correlation in CBF from both methods across participants (r = 0.82, p < 0.001). ATT was significantly different between methods (on average 147.7 ms lower when measured with DP-ASL compared to ME-ASL) but was positively correlated across participants (r = 0.39, p < 0.05). Significantly different Kw values of 106.6 ± 19.7 min<sup>-1</sup> and 306.8 ± 71.7 min<sup>-1</sup> were measured using DP-ASL and ME-ASL, respectively, and DP-ASL Kw and ME-ASL Kw were negatively correlated across participants (r = -0.46, p < 0.01). Kw measured using ME-ASL had a significant linear relationship with age (p < 0.05). In conclusion, DP-ASL and ME-ASL provided estimates of Kw with significantly different quantitative values and inconsistent dependence with age. We propose future standardisation of modelling and fitting methods for DP-ASL and ME-ASL, to evaluate the effect on Kw quantification. Also, sensitivity and bias analyses should be performed for both approaches, to assess the effect of varying acquisition and fitting parameters. Lastly, comparison with independent measures of BBB water transport, and with physiological and clinical biomarkers known to be associated with changes in BBB permeability, are essential to validate the ASL methods, and to demonstrate their clinical utility.

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Publication Details

Journal
NMR in Biomedicine
Published
2024-09-09
DOI
https://doi.org/10.1002/nbm.5256
Citations
19
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
7.68

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Measurement of blood–brain barrier water exchange rate using diffusion‐prepared and multi‐echo arterial spin labelling: Comparison of quantitative values and age dependence

Yolanda Ohene, Xingfeng Shao, Catherine Morgan, Lynette J. Tippett et al.
19 citations
NMR in Biomedicine
Advanced MRI Techniques and Applications
7.68
article

Measurement of blood–brain barrier water exchange rate using diffusion‐prepared and multi‐echo arterial spin labelling: Comparison of quantitative values and age dependence

Yolanda Ohene, Xingfeng Shao, Catherine Morgan, Lynette J. Tippett, Deidre Jansson, Amnah Mahroo, Danny J.J. Wang, Tabitha Manson, V. Suresh, David Lee Thomas, Matthias Günther, Michael Dragunow
article en
19 citations

Abstract

Water exchange rate (Kw) across the blood-brain barrier (BBB) is an important physiological parameter that may provide new insight into ageing and neurodegenerative disease. Recently, two non-invasive arterial spin labelling (ASL) MRI methods have been developed to measure Kw, but results from the different methods have not been directly compared. Furthermore, the association of Kw with age for each method has not been investigated in a single cohort. Thirty participants (70% female, 63.8 ± 10.4 years) were scanned at 3 T with Diffusion-Prepared ASL (DP-ASL) and Multi-Echo ASL (ME-ASL) using previously implemented acquisition and analysis protocols. Grey matter Kw, cerebral blood flow (CBF) and arterial transit time (ATT) were extracted. CBF values were consistent; approximately 50 ml/min/100 g for both methods, and a strong positive correlation in CBF from both methods across participants (r = 0.82, p < 0.001). ATT was significantly different between methods (on average 147.7 ms lower when measured with DP-ASL compared to ME-ASL) but was positively correlated across participants (r = 0.39, p < 0.05). Significantly different Kw values of 106.6 ± 19.7 min<sup>-1</sup> and 306.8 ± 71.7 min<sup>-1</sup> were measured using DP-ASL and ME-ASL, respectively, and DP-ASL Kw and ME-ASL Kw were negatively correlated across participants (r = -0.46, p < 0.01). Kw measured using ME-ASL had a significant linear relationship with age (p < 0.05). In conclusion, DP-ASL and ME-ASL provided estimates of Kw with significantly different quantitative values and inconsistent dependence with age. We propose future standardisation of modelling and fitting methods for DP-ASL and ME-ASL, to evaluate the effect on Kw quantification. Also, sensitivity and bias analyses should be performed for both approaches, to assess the effect of varying acquisition and fitting parameters. Lastly, comparison with independent measures of BBB water transport, and with physiological and clinical biomarkers known to be associated with changes in BBB permeability, are essential to validate the ASL methods, and to demonstrate their clinical utility.

NMR in BiomedicineVol. 37(12)
University of Southern California (US), University of Auckland (NZ), University of Washington (US), Manchester Academic Health Science Centre (GB), University of Manchester (GB), Auckland University of Technology (NZ), Auckland UniServices (New Zealand) (NZ), Fraunhofer Institute for Digital Medicine (DE), National Hospital for Neurology and Neurosurgery (GB), University College London (GB)
University of Auckland, Neurological Foundation of New Zealand, Freemasons New Zealand, Brain Research New Zealand, Health Research Council of New Zealand
Clean water and sanitation
Openalex Percentile: Top 2%
Advanced MRI Techniques and Applications
7.68
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