Quantification of blood–brain barrier water exchange and permeability with multidelay diffusion‐weighted pseudo‐continuous arterial spin labeling

Purpose To present a pulse sequence and mathematical models for quantification of blood–brain barrier water exchange and permeability. Methods Motion‐compensated diffusion‐weighted (MCDW) gradient‐and‐spin echo (GRASE) pseudo‐continuous arterial spin labeling (pCASL) sequence was proposed to acquire...

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Veröffentlicht in:	Magnetic resonance in medicine 2023-05, Vol.89 (5), p.1990-2004
Hauptverfasser:	Shao, Xingfeng, Zhao, Chenyang, Shou, Qinyang, St Lawrence, Keith S., Wang, Danny J. J.
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Sprache:	eng
Schlagworte:	Blood flow Blood-brain barrier Blood-Brain Barrier - diagnostic imaging blood–brain barrier (BBB) Brain - blood supply Capillary flow Cerebral blood flow Cerebrovascular Circulation - physiology Diffusion Diffusion barriers diffusion‐weighted arterial spin labeling (DW‐ASL) Group dynamics Humans Labeling Mathematical models Membrane permeability Perfusion Permeability Spatial discrimination Spatial resolution Spin labeling Spin Labels Substantia alba Transit time Water Water exchange water exchange rate (kw) water permeability (PSw)
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container_end_page	2004
container_issue	5
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container_title	Magnetic resonance in medicine
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creator	Shao, Xingfeng Zhao, Chenyang Shou, Qinyang St Lawrence, Keith S. Wang, Danny J. J.
description	Purpose To present a pulse sequence and mathematical models for quantification of blood–brain barrier water exchange and permeability. Methods Motion‐compensated diffusion‐weighted (MCDW) gradient‐and‐spin echo (GRASE) pseudo‐continuous arterial spin labeling (pCASL) sequence was proposed to acquire intravascular/extravascular perfusion signals from five postlabeling delays (PLDs, 1590–2790 ms). Experiments were performed on 11 healthy subjects at 3 T. A comprehensive set of perfusion and permeability parameters including cerebral blood flow (CBF), capillary transit time (τc), and water exchange rate (kw) were quantified, and permeability surface area product (PSw), total extraction fraction (Ew), and capillary volume (Vc) were derived simultaneously by a three‐compartment single‐pass approximation (SPA) model on group‐averaged data. With information (i.e., Vc and τc) obtained from three‐compartment SPA modeling, a simplified linear regression of logarithm (LRL) approach was proposed for individual kw quantification, and Ew and PSw can be estimated from long PLD (2490/2790 ms) signals. MCDW‐pCASL was compared with a previously developed diffusion‐prepared (DP) pCASL sequence, which calculates kw by a two‐compartment SPA model from PLD = 1800 ms signals, to evaluate the improvements. Results Using three‐compartment SPA modeling, group‐averaged CBF = 51.5/36.8 ml/100 g/min, kw = 126.3/106.7 min−1, PSw = 151.6/93.8 ml/100 g/min, Ew = 94.7/92.2%, τc = 1409.2/1431.8 ms, and Vc = 1.2/0.9 ml/100 g in gray/white matter, respectively. Temporal SNR of MCDW‐pCASL perfusion signals increased 3‐fold, and individual kw maps calculated by the LRL method achieved higher spatial resolution (3.5 mm3 isotropic) as compared with DP pCASL (3.5 × 3.5 × 8 mm3). Conclusion MCDW‐pCASL allows visualization of intravascular/extravascular ASL signals across multiple PLDs. The three‐compartment SPA model provides a comprehensive measurement of blood–brain barrier water dynamics from group‐averaged data, and a simplified LRL method was proposed for individual kw quantification.
doi_str_mv	10.1002/mrm.29581
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J.</creator><creatorcontrib>Shao, Xingfeng ; Zhao, Chenyang ; Shou, Qinyang ; St Lawrence, Keith S. ; Wang, Danny J. J.</creatorcontrib><description>Purpose To present a pulse sequence and mathematical models for quantification of blood–brain barrier water exchange and permeability. Methods Motion‐compensated diffusion‐weighted (MCDW) gradient‐and‐spin echo (GRASE) pseudo‐continuous arterial spin labeling (pCASL) sequence was proposed to acquire intravascular/extravascular perfusion signals from five postlabeling delays (PLDs, 1590–2790 ms). Experiments were performed on 11 healthy subjects at 3 T. A comprehensive set of perfusion and permeability parameters including cerebral blood flow (CBF), capillary transit time (τc), and water exchange rate (kw) were quantified, and permeability surface area product (PSw), total extraction fraction (Ew), and capillary volume (Vc) were derived simultaneously by a three‐compartment single‐pass approximation (SPA) model on group‐averaged data. With information (i.e., Vc and τc) obtained from three‐compartment SPA modeling, a simplified linear regression of logarithm (LRL) approach was proposed for individual kw quantification, and Ew and PSw can be estimated from long PLD (2490/2790 ms) signals. MCDW‐pCASL was compared with a previously developed diffusion‐prepared (DP) pCASL sequence, which calculates kw by a two‐compartment SPA model from PLD = 1800 ms signals, to evaluate the improvements. Results Using three‐compartment SPA modeling, group‐averaged CBF = 51.5/36.8 ml/100 g/min, kw = 126.3/106.7 min−1, PSw = 151.6/93.8 ml/100 g/min, Ew = 94.7/92.2%, τc = 1409.2/1431.8 ms, and Vc = 1.2/0.9 ml/100 g in gray/white matter, respectively. Temporal SNR of MCDW‐pCASL perfusion signals increased 3‐fold, and individual kw maps calculated by the LRL method achieved higher spatial resolution (3.5 mm3 isotropic) as compared with DP pCASL (3.5 × 3.5 × 8 mm3). Conclusion MCDW‐pCASL allows visualization of intravascular/extravascular ASL signals across multiple PLDs. The three‐compartment SPA model provides a comprehensive measurement of blood–brain barrier water dynamics from group‐averaged data, and a simplified LRL method was proposed for individual kw quantification.</description><identifier>ISSN: 0740-3194</identifier><identifier>EISSN: 1522-2594</identifier><identifier>DOI: 10.1002/mrm.29581</identifier><identifier>PMID: 36622951</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Blood flow ; Blood-brain barrier ; Blood-Brain Barrier - diagnostic imaging ; blood–brain barrier (BBB) ; Brain - blood supply ; Capillary flow ; Cerebral blood flow ; Cerebrovascular Circulation - physiology ; Diffusion ; Diffusion barriers ; diffusion‐weighted arterial spin labeling (DW‐ASL) ; Group dynamics ; Humans ; Labeling ; Mathematical models ; Membrane permeability ; Perfusion ; Permeability ; Spatial discrimination ; Spatial resolution ; Spin labeling ; Spin Labels ; Substantia alba ; Transit time ; Water ; Water exchange ; water exchange rate (kw) ; water permeability (PSw)</subject><ispartof>Magnetic resonance in medicine, 2023-05, Vol.89 (5), p.1990-2004</ispartof><rights>2023 The Authors. published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.</rights><rights>2023 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). 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J.</creatorcontrib><title>Quantification of blood–brain barrier water exchange and permeability with multidelay diffusion‐weighted pseudo‐continuous arterial spin labeling</title><title>Magnetic resonance in medicine</title><addtitle>Magn Reson Med</addtitle><description>Purpose To present a pulse sequence and mathematical models for quantification of blood–brain barrier water exchange and permeability. Methods Motion‐compensated diffusion‐weighted (MCDW) gradient‐and‐spin echo (GRASE) pseudo‐continuous arterial spin labeling (pCASL) sequence was proposed to acquire intravascular/extravascular perfusion signals from five postlabeling delays (PLDs, 1590–2790 ms). Experiments were performed on 11 healthy subjects at 3 T. A comprehensive set of perfusion and permeability parameters including cerebral blood flow (CBF), capillary transit time (τc), and water exchange rate (kw) were quantified, and permeability surface area product (PSw), total extraction fraction (Ew), and capillary volume (Vc) were derived simultaneously by a three‐compartment single‐pass approximation (SPA) model on group‐averaged data. With information (i.e., Vc and τc) obtained from three‐compartment SPA modeling, a simplified linear regression of logarithm (LRL) approach was proposed for individual kw quantification, and Ew and PSw can be estimated from long PLD (2490/2790 ms) signals. MCDW‐pCASL was compared with a previously developed diffusion‐prepared (DP) pCASL sequence, which calculates kw by a two‐compartment SPA model from PLD = 1800 ms signals, to evaluate the improvements. Results Using three‐compartment SPA modeling, group‐averaged CBF = 51.5/36.8 ml/100 g/min, kw = 126.3/106.7 min−1, PSw = 151.6/93.8 ml/100 g/min, Ew = 94.7/92.2%, τc = 1409.2/1431.8 ms, and Vc = 1.2/0.9 ml/100 g in gray/white matter, respectively. Temporal SNR of MCDW‐pCASL perfusion signals increased 3‐fold, and individual kw maps calculated by the LRL method achieved higher spatial resolution (3.5 mm3 isotropic) as compared with DP pCASL (3.5 × 3.5 × 8 mm3). Conclusion MCDW‐pCASL allows visualization of intravascular/extravascular ASL signals across multiple PLDs. The three‐compartment SPA model provides a comprehensive measurement of blood–brain barrier water dynamics from group‐averaged data, and a simplified LRL method was proposed for individual kw quantification.</description><subject>Blood flow</subject><subject>Blood-brain barrier</subject><subject>Blood-Brain Barrier - diagnostic imaging</subject><subject>blood–brain barrier (BBB)</subject><subject>Brain - blood supply</subject><subject>Capillary flow</subject><subject>Cerebral blood flow</subject><subject>Cerebrovascular Circulation - physiology</subject><subject>Diffusion</subject><subject>Diffusion barriers</subject><subject>diffusion‐weighted arterial spin labeling (DW‐ASL)</subject><subject>Group dynamics</subject><subject>Humans</subject><subject>Labeling</subject><subject>Mathematical models</subject><subject>Membrane permeability</subject><subject>Perfusion</subject><subject>Permeability</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>Spin labeling</subject><subject>Spin Labels</subject><subject>Substantia alba</subject><subject>Transit time</subject><subject>Water</subject><subject>Water exchange</subject><subject>water exchange rate (kw)</subject><subject>water permeability (PSw)</subject><issn>0740-3194</issn><issn>1522-2594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNp1kc1qFEEQxxtRzBo9-ALS4EUPk_TH9NdRgkYhQRQ9D90z1bsdeqbX7hk2e8sjCDn4fnkSWzd6ELxUQfGrXxX8EXpOyQklhJ2OeTxhRmj6AK2oYKxhwrQP0YqoljScmvYIPSnlihBijGofoyMuJasLdIV-fFrsNAcfejuHNOHksYspDXc3ty7bMGFncw6Q8c7OtcJ1v7HTGrCdBryFPIJ1IYZ5j3dh3uBxiXMYINo9HoL3S6nKu5vvOwjrzQx1o8AypDrpUz06LWkp2OYqDjbisq3nonUQw7R-ih55Gws8u-_H6Ou7t1_O3jcXH88_nL25aHquNW2MZM5L4rzXknvhmGS6V44KqbjmEnoFpqUGjFIC5MC05lSDMtp7pYls-TF6dfBuc_q2QJm7MZQeYrQT1O86piTnXAsjKvryH_QqLXmq31WqygQnmlfq9YHqcyolg--2OYw27ztKul9pdTWt7ndalX1xb1zcCMNf8k88FTg9ALsQYf9_U3f5-fKg_AkXrKRu</recordid><startdate>202305</startdate><enddate>202305</enddate><creator>Shao, Xingfeng</creator><creator>Zhao, Chenyang</creator><creator>Shou, Qinyang</creator><creator>St Lawrence, Keith S.</creator><creator>Wang, Danny J. J.</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9841-6332</orcidid><orcidid>https://orcid.org/0000-0002-0840-7062</orcidid><orcidid>https://orcid.org/0000-0002-3343-3895</orcidid><orcidid>https://orcid.org/0000-0002-4130-6204</orcidid></search><sort><creationdate>202305</creationdate><title>Quantification of blood–brain barrier water exchange and permeability with multidelay diffusion‐weighted pseudo‐continuous arterial spin labeling</title><author>Shao, Xingfeng ; Zhao, Chenyang ; Shou, Qinyang ; St Lawrence, Keith S. ; Wang, Danny J. J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3881-962bf60bff863f5b2628c7b15673836ec7e9419e9775e6d288318e798ff780643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Blood flow</topic><topic>Blood-brain barrier</topic><topic>Blood-Brain Barrier - diagnostic imaging</topic><topic>blood–brain barrier (BBB)</topic><topic>Brain - blood supply</topic><topic>Capillary flow</topic><topic>Cerebral blood flow</topic><topic>Cerebrovascular Circulation - physiology</topic><topic>Diffusion</topic><topic>Diffusion barriers</topic><topic>diffusion‐weighted arterial spin labeling (DW‐ASL)</topic><topic>Group dynamics</topic><topic>Humans</topic><topic>Labeling</topic><topic>Mathematical models</topic><topic>Membrane permeability</topic><topic>Perfusion</topic><topic>Permeability</topic><topic>Spatial discrimination</topic><topic>Spatial resolution</topic><topic>Spin labeling</topic><topic>Spin Labels</topic><topic>Substantia alba</topic><topic>Transit time</topic><topic>Water</topic><topic>Water exchange</topic><topic>water exchange rate (kw)</topic><topic>water permeability (PSw)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shao, Xingfeng</creatorcontrib><creatorcontrib>Zhao, Chenyang</creatorcontrib><creatorcontrib>Shou, Qinyang</creatorcontrib><creatorcontrib>St Lawrence, Keith S.</creatorcontrib><creatorcontrib>Wang, Danny J. J.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Magnetic resonance in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shao, Xingfeng</au><au>Zhao, Chenyang</au><au>Shou, Qinyang</au><au>St Lawrence, Keith S.</au><au>Wang, Danny J. J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantification of blood–brain barrier water exchange and permeability with multidelay diffusion‐weighted pseudo‐continuous arterial spin labeling</atitle><jtitle>Magnetic resonance in medicine</jtitle><addtitle>Magn Reson Med</addtitle><date>2023-05</date><risdate>2023</risdate><volume>89</volume><issue>5</issue><spage>1990</spage><epage>2004</epage><pages>1990-2004</pages><issn>0740-3194</issn><eissn>1522-2594</eissn><abstract>Purpose To present a pulse sequence and mathematical models for quantification of blood–brain barrier water exchange and permeability. Methods Motion‐compensated diffusion‐weighted (MCDW) gradient‐and‐spin echo (GRASE) pseudo‐continuous arterial spin labeling (pCASL) sequence was proposed to acquire intravascular/extravascular perfusion signals from five postlabeling delays (PLDs, 1590–2790 ms). Experiments were performed on 11 healthy subjects at 3 T. A comprehensive set of perfusion and permeability parameters including cerebral blood flow (CBF), capillary transit time (τc), and water exchange rate (kw) were quantified, and permeability surface area product (PSw), total extraction fraction (Ew), and capillary volume (Vc) were derived simultaneously by a three‐compartment single‐pass approximation (SPA) model on group‐averaged data. With information (i.e., Vc and τc) obtained from three‐compartment SPA modeling, a simplified linear regression of logarithm (LRL) approach was proposed for individual kw quantification, and Ew and PSw can be estimated from long PLD (2490/2790 ms) signals. MCDW‐pCASL was compared with a previously developed diffusion‐prepared (DP) pCASL sequence, which calculates kw by a two‐compartment SPA model from PLD = 1800 ms signals, to evaluate the improvements. Results Using three‐compartment SPA modeling, group‐averaged CBF = 51.5/36.8 ml/100 g/min, kw = 126.3/106.7 min−1, PSw = 151.6/93.8 ml/100 g/min, Ew = 94.7/92.2%, τc = 1409.2/1431.8 ms, and Vc = 1.2/0.9 ml/100 g in gray/white matter, respectively. Temporal SNR of MCDW‐pCASL perfusion signals increased 3‐fold, and individual kw maps calculated by the LRL method achieved higher spatial resolution (3.5 mm3 isotropic) as compared with DP pCASL (3.5 × 3.5 × 8 mm3). Conclusion MCDW‐pCASL allows visualization of intravascular/extravascular ASL signals across multiple PLDs. The three‐compartment SPA model provides a comprehensive measurement of blood–brain barrier water dynamics from group‐averaged data, and a simplified LRL method was proposed for individual kw quantification.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>36622951</pmid><doi>10.1002/mrm.29581</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-9841-6332</orcidid><orcidid>https://orcid.org/0000-0002-0840-7062</orcidid><orcidid>https://orcid.org/0000-0002-3343-3895</orcidid><orcidid>https://orcid.org/0000-0002-4130-6204</orcidid><oa>free_for_read</oa></addata></record>
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subjects	Blood flow Blood-brain barrier Blood-Brain Barrier - diagnostic imaging blood–brain barrier (BBB) Brain - blood supply Capillary flow Cerebral blood flow Cerebrovascular Circulation - physiology Diffusion Diffusion barriers diffusion‐weighted arterial spin labeling (DW‐ASL) Group dynamics Humans Labeling Mathematical models Membrane permeability Perfusion Permeability Spatial discrimination Spatial resolution Spin labeling Spin Labels Substantia alba Transit time Water Water exchange water exchange rate (kw) water permeability (PSw)
title	Quantification of blood–brain barrier water exchange and permeability with multidelay diffusion‐weighted pseudo‐continuous arterial spin labeling
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