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Cerebral blood flow and time of exchange measurements using multi-TE blood-brain barrier arterial spin labeling MRI in IDH mutational subgroups of gliomas

dc.contributor.authorTurhan, Gulce
dc.contributor.authorCetin, Ayse Irem
dc.contributor.authorPadrela, Beatriz E.
dc.contributor.authorMahroo, Amnah
dc.contributor.authorCur, Omer-Yasin
dc.contributor.authorKonstandin, Simon
dc.contributor.authorHoinkiss, Daniel Christopher
dc.contributor.authorBreutigam, Nora-Josefin
dc.contributor.authorMutsaerts, Henk J. M. M.
dc.contributor.authorDanyeli, Ayca Ersen
dc.contributor.authorOzduman, Koray
dc.contributor.authorEickel, Klaus
dc.contributor.authorKeil, Vera C.
dc.contributor.authorGunther, Matthias
dc.contributor.authorPetr, Jan
dc.contributor.authorDincer, Alp
dc.contributor.authorOzturk-Isik, Esin
dc.date.accessioned2026-11-05T11:07:12Z
dc.date.issued2026
dc.description.abstractObjectiveIsocitrate dehydrogenase (IDH) mutations are key prognostic factors in gliomas. IDH-wildtype (IDH-wt) glioblastomas are high-grade tumors, which often exhibit blood-brain barrier (BBB) breakdown. Blood-brain barrier arterial spin labeling (BBB-ASL) is a novel MRI technique that provides information on cerebral blood flow (CBF) and water exchange time (Tex) across the BBB. The aim of this study was to evaluate the feasibility of using BBB-ASL to measure CBF and Tex for distinguishing IDH mutational subgroups in gliomas, while accounting for region-specific T2 relaxation time variations.MethodsTwenty-five histopathologically confirmed gliomas (15 IDH-wt and 10 IDH-mutant (IDH-mut); mean age 53.6 +/- 14\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$53.6 \pm 14$$\end{document} years; F/M = 11/14) were scanned. Hadamard-4 and Hadamard-8 pseudo-continuous arterial spin labeling (pCASL) MRI data were preprocessed in ExploreASL using the BBB-ASL model. CBF and Tex maps were generated using fixed T2 values (tissue: 85 ms; blood: 165 ms), and recomputed with a tissue T2 of 116.2 ms (CBF_116ms and Tex_116ms) and patient specific regional median T2 (CBF_corr and Tex_corr). Relative CBF and Tex maps (rCBF_116ms, rTex_116ms; rCBF_corr, rTex_corr) were calculated by normalizing to median normal-appearing gray matter (NAGM) values. Group comparisons of rCBF and rTex values between IDH mutational subgroups were performed using Mann-Whitney U tests with Holm-Bonferroni correction for multiple comparisons.ResultsrTex_116ms maps showed significantly lower energy in IDH-wt tumors (P=0.010\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P=0.010$$\end{document}) and a higher 95th\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$95<^>{ ext {th}}$$\end{document} percentile (P=0.049\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P=0.049$$\end{document}) in IDH-mut tumors. In addition, IDH-wt gliomas demonstrated a trend toward higher 5th\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$5<^>{ ext {th}}$$\end{document} percentile rCBF_116ms and rCBF_corr (P=0.033\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P=0.033$$\end{document}, P=0.014\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P=0.014$$\end{document}, respectively). ConclusionMulti-TE BBB-ASL provides noninvasive insight into perfusion and water exchange characteristics in gliomas, with T2 relaxation time assumptions strongly influencing CBF and Tex estimates.
dc.description.sponsorshipOpen access funding provided by the Scientific and Technological Research Council of Turkiye (TUB & Idot;TAK).
dc.identifier.doi10.1007/s10334-026-01348-5
dc.identifier.issn1352-8661
dc.identifier.urihttps://doi.org/10.1007/s10334-026-01348-5
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/11429
dc.identifier.wosWOS:001745169800001
dc.language.isoen
dc.publisherSPRINGER
dc.relation.fundingHORIZON EUROPE European Research Council(European Research Council (ERC))
dc.relation.fundingTrkiye Bilimsel ve Teknolojik Arascedil
dc.relation.fundingtimath
dc.relation.fundingrma Kurumu
dc.relation.fundingBogazici University(Bogazici University)
dc.relation.fundingHORIZON EUROPE European Research Council [825664]
dc.relation.fundingrma Kurumu [121N03]
dc.relation.fundingBogazici University
dc.relation.hasversion10.1007/s10334-026-01348-5
dc.relation.ispartofMAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
dc.subjectCerebral blood flow
dc.subjectTime of exchange
dc.subjectBlood-brain barrier
dc.subjectArterial spin labeling
dc.subjectGlioma
dc.subjectIDH mutation
dc.subjectMODEL
dc.subjectRadiology, Nuclear Medicine & Medical Imaging
dc.titleCerebral blood flow and time of exchange measurements using multi-TE blood-brain barrier arterial spin labeling MRI in IDH mutational subgroups of gliomas
dc.typeArticle
oaire.citation.editionScience Citation Index Expanded (SCI-EXPANDED)
person.identifier.orcid0000-0002-3543-0401
person.identifier.orcid0000-0002-3358-7296
person.identifier.ridD-3658-2015
person.identifier.ridX-3384-2018
person.identifier.ridABB-3927-2022
person.identifier.ridK-9771-2018
person.identifier.ridGSM-7706-2022
person.identifier.ridAAD-6793-2020
person.identifier.ridB-5309-2013
person.identifier.ridT-8656-2017

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