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Cited by 119Barrier Structure and Function StudiesAcute Ischemic Stroke ManagementAdvanced MRI Techniques and Applications

The DOI matches its Crossref record; 36 of the 37 references it cites were found in a registry or an index.

DCE-MRI blood–brain barrier assessment in acute ischemic stroke

Villringer, Kersten, Sanz Cuesta, Borja E., Ostwaldt, Ann-Christin, Grittner, Ulrike, Brunecker, Peter, Khalil, Ahmed A., Schindler, Kristina, Eisenblätter, Ole, Audebert, Heinrich, Fiebach, Jochen B.·2017·Neurology
DOI 10.1212/wnl.0000000000003566
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Abstract

Objective To quantitatively evaluate blood-brain barrier changes in ischemic stroke patients using dynamic contrast-enhanced (DCE) MRI. Methods We examined 54 stroke patients (clinicaltrials.gov NCT00715533, NCT02077582) in a 3T MRI scanner within 48 hours after symptom onset. Twenty-eight patients had a follow-up examination on day 5-7. DCE T1 mapping and Patlak analysis were employed to assess BBB permeability changes. Results Median stroke K trans values (0.7 × 10 -3 min -1 [interquartile range (IQR) 0.4-1.8] × 10 -3 min -1 ) were more than 3-fold higher compared to median mirror K trans values (0.2 × 10 -3 min -1 , IQR 0.1-0.7 × 10 -3 min -1 , p -3 min -1 , IQR 0.8-4.6 × 10 -3 min -1 , p trans values decreased over time with a clear interaction of timepoint and stroke/mirror side (p trans values were 2.5 times lower than in hemorrhagic transformed regions (0.7 vs 1.8 × 10 -3 min -1 ; p = 0.055). There was no association between stroke K trans values and the delay from symptom onset to baseline examination, age, and presence of hyperintense acute reperfusion marker. Conclusion BBB in acute stroke patients can be successfully assessed quantitatively. The decrease of BBB permeability in unaffected regions at follow-up may be an indicator of global BBB leakage even in vessel territories remote from the index infarct.

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Crossref · 10.1212/wnl.0000000000003566

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  1. Barboriak DP MacFall JR Padua AO York GE Viglianti BL Dewhirst MW. Standardized software for calculation of Ktrans and vp from dynamic T1-weighted MR images. Presented at the International Society for Magnetic Resonance in Medicine Workshop on MR in Drug Development: From Discovery to Clinical Therapeutic Trials McLean Virginia April 2004.

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Metadata

Authors
Villringer, K., Sanz Cuesta, B. E., Ostwaldt, A.-C., Grittner, U., Brunecker, P., Khalil, A. A., Schindler, K., Eisenblätter, O., Audebert, H., & Fiebach, J. B.
Affiliations
  • Hospital La Paz Institute for Health Research (ES)
  • From the Center for Stroke Research (K.V., A.-C.O., U.G., P.B., A.A.K., K.S., O.E., H.A., J.B.F.), Department of Biostatistics and Clinical Epidemiology (U.G.), NeuroCure Cluster of Excellence (A.A.K.), and Department of Neurology (H.A.), Charite-Universitätsmedizin, Berlin, Germany; and Department of Neurology and Stroke Center (B.E.S.C.), La Paz University Hospital, Neuroscience Area of IdiPAZ Health Research Institute, Autonomous University of Madrid, Spain.
ORCID
Venue
Neurology
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2017-01-31
Volume
88
Issue
5
Pages
433-440
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
DOI
10.1212/wnl.0000000000003566
OpenAlex
W2567404406
Cited by
119
References
37
Citations by year
2026: 13 · 2025: 17 · 2024: 10 · 2023: 15 · 2022: 7 · 2021: 26 · 2020: 15 · 2019: 9 · 2018: 5 · 2017: 2
FWCI
2.92
Type
journal article
Language
en
Open access
closed
Locations
  • Neurology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Neurology › Barrier Structure and Function Studies
  • Health Sciences › Medicine › Clinical Neurology › Acute Ischemic Stroke Management
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
blood-brain barrier permeability, acute ischemic stroke, dynamic contrast-enhanced MRI, Patlak analysis, Ktrans, hemorrhagic transformation, reperfusion, T1 mapping
MeSH terms
Aged, Blood-Brain Barrier, Capillary Permeability, Brain Ischemia, Contrast Media, Female, Follow-Up Studies, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Stroke

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