{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T09:39:27Z","timestamp":1792661967767,"version":"4.5.0"},"reference-count":0,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T00:00:00Z","timestamp":1792454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Cereb Blood Flow Metab"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Intracranial steno-occlusive disease (SOD) assessment benefits from hemodynamic imaging, but comprehensive evaluation often relies on contrast- or radiation-based techniques. Arterial spin labeling (ASL) provides a non-invasive alternative for quantifying tissue-level perfusion and cerebrovascular reactivity, yet does not capture upstream arterial flow dynamics. As a result, non-invasive assessment of macrovascular hemodynamics for SOD remains limited. This study evaluates whether quantitative 4D-MRA provides complementary arterial information beyond established ASL-derived metrics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Twelve SOD patients (7 women; age 42.3\u00b125.8 years) underwent multi-delay ASL and 4D-MRA before and after acetazolamide. Cerebrovascular reactivity (CVR), arterial transit time (ATT), macrovascular ATT (mATT), and labeled blood volume (LBV) were quantified. Associations and vasodilatory responses were assessed using linear mixed-effects models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>At baseline, mATT correlated with ATT (\u03b2=0.66\u00b10.08, p&lt;0.001). Both decreased following acetazolamide (mATT: 1.07\u00b10.03s to 1.01\u00b10.03s, p=0.029; ATT: 1.63\u00b10.07s to 1.40\u00b10.07s, p&lt;0.001). However, changes in mATT and ATT were not associated with CVR. In contrast, CVR was positively associated with \u0394LBV (\u03b2=8.84, SE=2.43, p=0.01). Case analyses further demonstrated artery-level delayed inflow and vascular steal.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Quantitative 4D-MRA provides complementary macrovascular information to ASL in SOD. \u0394LBV more consistently reflects cerebrovascular reactivity than transit-based metrics and is sensitive to artery-level delayed inflow and vascular steal.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0271678x261500385","type":"journal-article","created":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T04:01:57Z","timestamp":1792555317000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["EXPRESS: Quantification of arterial hemodynamics in steno-occlusive disease using time-resolved MRI-based angiography"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3823-3550","authenticated-orcid":false,"given":"Quinten","family":"Deckers","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simone M","family":"Uniken-Venema","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kees P","family":"Braun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Albert","family":"van der Zwan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tristan P.C.","family":"van Doormaal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5476-547X","authenticated-orcid":false,"given":"Pieter Thomas","family":"Deckers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5079-2868","authenticated-orcid":false,"given":"Jeroen CW","family":"Siero","sequence":"additional","affiliation":[{"name":"Precision Imaging Group, Center for Image Sciences, UMC Utrecht, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3211-1760","authenticated-orcid":false,"given":"Alex","family":"Bhogal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,10,20]]},"container-title":["Journal of Cerebral Blood Flow &amp; Metabolism"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0271678X261500385","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0271678X261500385","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T08:46:54Z","timestamp":1792658814000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/0271678X261500385"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,20]]},"references-count":0,"alternative-id":["10.1177\/0271678X261500385"],"URL":"https:\/\/doi.org\/10.1177\/0271678x261500385","relation":{},"ISSN":["0271-678X","1559-7016"],"issn-type":[{"value":"0271-678X","type":"print"},{"value":"1559-7016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,20]]},"article-number":"0271678X261500385"}}