@article{RN206,
   author = {Zhang, C. E. and Wong, S. M. and van de Haar, H. J. and Staals, J. and Jansen, J. F. and Jeukens, C. R. and Hofman, P. A. and van Oostenbrugge, R. J. and Backes, W. H.},
   title = {Blood-brain barrier leakage is more widespread in patients with cerebral small vessel disease},
   journal = {Neurology},
   volume = {88},
   number = {5},
   pages = {426-432},
   note = {Zhang, C Eleana
Wong, Sau May
van de Haar, Harm J
Staals, Julie
Jansen, Jacobus F A
Jeukens, Cecile R L P N
Hofman, Paul A M
van Oostenbrugge, Robert J
Backes, Walter H
eng
Research Support, Non-U.S. Gov't
2016/12/30 06:00
Neurology. 2017 Jan 31;88(5):426-432. doi: 10.1212/WNL.0000000000003556. Epub 2016 Dec 28.},
   abstract = {OBJECTIVE: As blood-brain barrier (BBB) dysfunction may occur in normal aging but may also play a pivotal role in the pathophysiology of cerebral small vessel disease (cSVD), we used dynamic contrast-enhanced (DCE)-MRI to quantify the rate and the spatial extent of BBB leakage in patients with cSVD and age- and sex-matched controls to discern cSVD-related BBB leakage from aging-related leakage. METHODS: We performed structural brain MRI and DCE-MRI in 80 patients with clinically overt cSVD and 40 age- and sex-matched controls. Using the Patlak pharmacokinetic model, we calculated the leakage rate. The mean leakage rate and relative leakage volume were calculated using noise-corrected histogram analysis. Leakage rate and leakage volume were compared between patients with cSVD and controls for the normal-appearing white matter (NAWM), white matter hyperintensities (WMH), cortical gray matter (CGM), and deep gray matter. RESULTS: Multivariable linear regression analyses adjusting for age, sex, and cardiovascular risk factors showed that the leakage volume of the NAWM, WMH, and CGM was significantly larger in patients with cSVD compared with controls. No significant difference was found for leakage rate in any of the tissue regions. CONCLUSION: We demonstrated a larger tissue volume with subtle BBB leakage in patients with cSVD than in controls. This was shown in the NAWM, WMH, and CGM, supporting the generalized nature of cSVD.},
   keywords = {Aged
Aging/metabolism
Blood-Brain Barrier/*diagnostic imaging/*physiopathology
Capillary Permeability/*physiology
Cardiovascular Diseases/physiopathology
Cerebral Small Vessel Diseases/*diagnostic imaging/*physiopathology
Contrast Media
Female
Gray Matter/diagnostic imaging/physiopathology
Humans
Image Interpretation, Computer-Assisted
Linear Models
Magnetic Resonance Imaging
Male
Multivariate Analysis
Plasma Volume/physiology
Severity of Illness Index
Sex Characteristics
White Matter/diagnostic imaging/physiopathology},
   ISSN = {1526-632X (Electronic)
0028-3878 (Linking)},
   DOI = {10.1212/WNL.0000000000003556},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/28031395
https://n.neurology.org/content/88/5/426.long},
   year = {2017},
   type = {Journal Article}
}

{"_id":"N2yB9YegSEW5QZjwn","bibbaseid":"zhang-wong-vandehaar-staals-jansen-jeukens-hofman-vanoostenbrugge-etal-bloodbrainbarrierleakageismorewidespreadinpatientswithcerebralsmallvesseldisease-2017","downloads":0,"creationDate":"2017-09-02T16:45:18.623Z","title":"Blood-brain barrier leakage is more widespread in patients with cerebral small vessel disease","author_short":["Zhang, C. E.","Wong, S. M.","van de Haar, H. J.","Staals, J.","Jansen, J. F.","Jeukens, C. R.","Hofman, P. A.","van Oostenbrugge, R. J.","Backes, W. H."],"year":2017,"bibtype":"article","biburl":"https://raw.githubusercontent.com/jansenjfa1/bibbase.github.io/master/jansenjfa.bib","bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Zhang"],"firstnames":["C.","E."],"suffixes":[]},{"propositions":[],"lastnames":["Wong"],"firstnames":["S.","M."],"suffixes":[]},{"propositions":["van","de"],"lastnames":["Haar"],"firstnames":["H.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Staals"],"firstnames":["J."],"suffixes":[]},{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F."],"suffixes":[]},{"propositions":[],"lastnames":["Jeukens"],"firstnames":["C.","R."],"suffixes":[]},{"propositions":[],"lastnames":["Hofman"],"firstnames":["P.","A."],"suffixes":[]},{"propositions":["van"],"lastnames":["Oostenbrugge"],"firstnames":["R.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Backes"],"firstnames":["W.","H."],"suffixes":[]}],"title":"Blood-brain barrier leakage is more widespread in patients with cerebral small vessel disease","journal":"Neurology","volume":"88","number":"5","pages":"426-432","note":"Zhang, C Eleana Wong, Sau May van de Haar, Harm J Staals, Julie Jansen, Jacobus F A Jeukens, Cecile R L P N Hofman, Paul A M van Oostenbrugge, Robert J Backes, Walter H eng Research Support, Non-U.S. Gov't 2016/12/30 06:00 Neurology. 2017 Jan 31;88(5):426-432. doi: 10.1212/WNL.0000000000003556. Epub 2016 Dec 28.","abstract":"OBJECTIVE: As blood-brain barrier (BBB) dysfunction may occur in normal aging but may also play a pivotal role in the pathophysiology of cerebral small vessel disease (cSVD), we used dynamic contrast-enhanced (DCE)-MRI to quantify the rate and the spatial extent of BBB leakage in patients with cSVD and age- and sex-matched controls to discern cSVD-related BBB leakage from aging-related leakage. METHODS: We performed structural brain MRI and DCE-MRI in 80 patients with clinically overt cSVD and 40 age- and sex-matched controls. Using the Patlak pharmacokinetic model, we calculated the leakage rate. The mean leakage rate and relative leakage volume were calculated using noise-corrected histogram analysis. Leakage rate and leakage volume were compared between patients with cSVD and controls for the normal-appearing white matter (NAWM), white matter hyperintensities (WMH), cortical gray matter (CGM), and deep gray matter. RESULTS: Multivariable linear regression analyses adjusting for age, sex, and cardiovascular risk factors showed that the leakage volume of the NAWM, WMH, and CGM was significantly larger in patients with cSVD compared with controls. No significant difference was found for leakage rate in any of the tissue regions. CONCLUSION: We demonstrated a larger tissue volume with subtle BBB leakage in patients with cSVD than in controls. This was shown in the NAWM, WMH, and CGM, supporting the generalized nature of cSVD.","keywords":"Aged Aging/metabolism Blood-Brain Barrier/*diagnostic imaging/*physiopathology Capillary Permeability/*physiology Cardiovascular Diseases/physiopathology Cerebral Small Vessel Diseases/*diagnostic imaging/*physiopathology Contrast Media Female Gray Matter/diagnostic imaging/physiopathology Humans Image Interpretation, Computer-Assisted Linear Models Magnetic Resonance Imaging Male Multivariate Analysis Plasma Volume/physiology Severity of Illness Index Sex Characteristics White Matter/diagnostic imaging/physiopathology","issn":"1526-632X (Electronic) 0028-3878 (Linking)","doi":"10.1212/WNL.0000000000003556","url":"http://www.ncbi.nlm.nih.gov/pubmed/28031395 https://n.neurology.org/content/88/5/426.long","year":"2017","bibtex":"@article{RN206,\n author = {Zhang, C. E. and Wong, S. M. and van de Haar, H. J. and Staals, J. and Jansen, J. F. and Jeukens, C. R. and Hofman, P. A. and van Oostenbrugge, R. J. and Backes, W. H.},\n title = {Blood-brain barrier leakage is more widespread in patients with cerebral small vessel disease},\n journal = {Neurology},\n volume = {88},\n number = {5},\n pages = {426-432},\n note = {Zhang, C Eleana\nWong, Sau May\nvan de Haar, Harm J\nStaals, Julie\nJansen, Jacobus F A\nJeukens, Cecile R L P N\nHofman, Paul A M\nvan Oostenbrugge, Robert J\nBackes, Walter H\neng\nResearch Support, Non-U.S. Gov't\n2016/12/30 06:00\nNeurology. 2017 Jan 31;88(5):426-432. doi: 10.1212/WNL.0000000000003556. Epub 2016 Dec 28.},\n abstract = {OBJECTIVE: As blood-brain barrier (BBB) dysfunction may occur in normal aging but may also play a pivotal role in the pathophysiology of cerebral small vessel disease (cSVD), we used dynamic contrast-enhanced (DCE)-MRI to quantify the rate and the spatial extent of BBB leakage in patients with cSVD and age- and sex-matched controls to discern cSVD-related BBB leakage from aging-related leakage. METHODS: We performed structural brain MRI and DCE-MRI in 80 patients with clinically overt cSVD and 40 age- and sex-matched controls. Using the Patlak pharmacokinetic model, we calculated the leakage rate. The mean leakage rate and relative leakage volume were calculated using noise-corrected histogram analysis. Leakage rate and leakage volume were compared between patients with cSVD and controls for the normal-appearing white matter (NAWM), white matter hyperintensities (WMH), cortical gray matter (CGM), and deep gray matter. RESULTS: Multivariable linear regression analyses adjusting for age, sex, and cardiovascular risk factors showed that the leakage volume of the NAWM, WMH, and CGM was significantly larger in patients with cSVD compared with controls. No significant difference was found for leakage rate in any of the tissue regions. CONCLUSION: We demonstrated a larger tissue volume with subtle BBB leakage in patients with cSVD than in controls. This was shown in the NAWM, WMH, and CGM, supporting the generalized nature of cSVD.},\n keywords = {Aged\nAging/metabolism\nBlood-Brain Barrier/*diagnostic imaging/*physiopathology\nCapillary Permeability/*physiology\nCardiovascular Diseases/physiopathology\nCerebral Small Vessel Diseases/*diagnostic imaging/*physiopathology\nContrast Media\nFemale\nGray Matter/diagnostic imaging/physiopathology\nHumans\nImage Interpretation, Computer-Assisted\nLinear Models\nMagnetic Resonance Imaging\nMale\nMultivariate Analysis\nPlasma Volume/physiology\nSeverity of Illness Index\nSex Characteristics\nWhite Matter/diagnostic imaging/physiopathology},\n ISSN = {1526-632X (Electronic)\n0028-3878 (Linking)},\n DOI = {10.1212/WNL.0000000000003556},\n url = {http://www.ncbi.nlm.nih.gov/pubmed/28031395\nhttps://n.neurology.org/content/88/5/426.long},\n year = {2017},\n type = {Journal Article}\n}\n\n","author_short":["Zhang, C. E.","Wong, S. M.","van de Haar, H. J.","Staals, J.","Jansen, J. F.","Jeukens, C. R.","Hofman, P. A.","van Oostenbrugge, R. J.","Backes, W. H."],"key":"RN206","id":"RN206","bibbaseid":"zhang-wong-vandehaar-staals-jansen-jeukens-hofman-vanoostenbrugge-etal-bloodbrainbarrierleakageismorewidespreadinpatientswithcerebralsmallvesseldisease-2017","role":"author","urls":{"Paper":"http://www.ncbi.nlm.nih.gov/pubmed/28031395 https://n.neurology.org/content/88/5/426.long"},"keyword":["Aged Aging/metabolism Blood-Brain Barrier/*diagnostic imaging/*physiopathology Capillary Permeability/*physiology Cardiovascular Diseases/physiopathology Cerebral Small Vessel Diseases/*diagnostic imaging/*physiopathology Contrast Media Female Gray Matter/diagnostic imaging/physiopathology Humans Image Interpretation","Computer-Assisted Linear Models Magnetic Resonance Imaging Male Multivariate Analysis Plasma Volume/physiology Severity of Illness Index Sex Characteristics White Matter/diagnostic imaging/physiopathology"],"metadata":{"authorlinks":{"jansen, j":"https://www.jansenjfa.com/publications/"}},"downloads":0,"html":""},"search_terms":["blood","brain","barrier","leakage","more","widespread","patients","cerebral","small","vessel","disease","zhang","wong","van de haar","staals","jansen","jeukens","hofman","van oostenbrugge","backes"],"keywords":["aged aging/metabolism blood-brain barrier/*diagnostic imaging/*physiopathology capillary permeability/*physiology cardiovascular diseases/physiopathology cerebral small vessel diseases/*diagnostic imaging/*physiopathology contrast media female gray matter/diagnostic imaging/physiopathology humans image interpretation","computer-assisted linear models magnetic resonance imaging male multivariate analysis plasma volume/physiology severity of illness index sex characteristics white matter/diagnostic imaging/physiopathology"],"authorIDs":["TEAWLnKpXtQE8hs6C"],"dataSources":["NcYBKGxxHQiyceke2","TCkfRWJAZvbLAZi29"]}