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Denkinger M, Baker S, Inglis B, Kobayashi S, Juarez A, Mason S, Jagust W. Associations between regional blood-brain barrier permeability, aging, and Alzheimer's disease biomarkers in cognitively normal older adults. PLoS One 2024; 19:e0299764. [PMID: 38837947 PMCID: PMC11152304 DOI: 10.1371/journal.pone.0299764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 05/05/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Increased blood-brain barrier permeability (BBBp) has been hypothesized as a feature of aging that may lead to the development of Alzheimer's disease (AD). We sought to identify the brain regions most vulnerable to greater BBBp during aging and examine their regional relationship with neuroimaging biomarkers of AD. METHODS We studied 31 cognitively normal older adults (OA) and 10 young adults (YA) from the Berkeley Aging Cohort Study (BACS). Both OA and YA received dynamic contrast-enhanced MRI (DCE-MRI) to quantify Ktrans values, as a measure of BBBp, in 37 brain regions across the cortex. The OA also received Pittsburgh compound B (PiB)-PET to create distribution volume ratios (DVR) images and flortaucipir (FTP)- PET to create partial volume corrected standardized uptake volume ratios (SUVR) images. Repeated measures ANOVA assessed the brain regions where OA showed greater BBBp than YA. In OA, Ktrans values were compared based on sex, Aβ positivity status, and APOE4 carrier status within a composite region across the areas susceptible to aging. We used linear models and sparse canonical correlation analysis (SCCA) to examine the relationship between Ktrans and AD biomarkers. RESULTS OA showed greater BBBp than YA predominately in the temporal lobe, with some involvement of parietal, occipital and frontal lobes. Within an averaged ROI of affected regions, there was no difference in Ktrans values based on sex or Aβ positivity, but OA who were APOE4 carriers had significantly higher Ktrans values. There was no direct relationship between averaged Ktrans and global Aβ pathology, but there was a trend for an Ab status by tau interaction on Ktrans in this region. SCCA showed increased Ktrans was associated with increased PiB DVR, mainly in temporal and parietal brain regions. There was not a significant relationship between Ktrans and FTP SUVR. DISCUSSION Our findings indicate that the BBB shows regional vulnerability during normal aging that overlaps considerably with the pattern of AD pathology. Greater BBBp in brain regions affected in aging is related to APOE genotype and may also be related to the pathological accumulation of Aβ.
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Affiliation(s)
- Marisa Denkinger
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, United States of America
| | - Suzanne Baker
- Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Ben Inglis
- Henry H. Wheeler Jr. Brain Imaging Center, University of California, Berkeley, Berkeley, California, United States of America
| | - Sarah Kobayashi
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, United States of America
| | - Alexis Juarez
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, United States of America
| | - Suzanne Mason
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, United States of America
| | - William Jagust
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California, United States of America
- Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
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Chaganti J, Poudel G, Cysique LA, Dore GJ, Kelleher A, Matthews G, Darley D, Byrne A, Jakabek D, Zhang X, Lewis M, Jha N, Brew BJ. Blood brain barrier disruption and glutamatergic excitotoxicity in post-acute sequelae of SARS COV-2 infection cognitive impairment: potential biomarkers and a window into pathogenesis. Front Neurol 2024; 15:1350848. [PMID: 38756214 PMCID: PMC11097901 DOI: 10.3389/fneur.2024.1350848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 02/19/2024] [Indexed: 05/18/2024] Open
Abstract
Objective To investigate the association between blood-brain barrier permeability, brain metabolites, microstructural integrity of the white matter, and cognitive impairment (CI) in post-acute sequelae of SARS-COV-2 infection (PASC). Methods In this multimodal longitudinal MRI study 14 PASC participants with CI and 10 healthy controls were enrolled. All completed investigations at 3 months following acute infection (3 months ± 2 weeks SD), and 10 PASC participants completed at 12 months ± 2.22 SD weeks. The assessments included a standard neurological assessment, a cognitive screen using the brief CogState battery and multi-modal MRI derived metrics from Dynamic contrast enhanced (DCE) perfusion Imaging, Diffusion Tensor Imaging (DTI), and single voxel proton Magnetic Resonance Spectroscopy. These measures were compared between patients and controls and correlated with cognitive scores. Results At baseline, and relative to controls, PASC participants had higher K-Trans and Myo-inositol, and lower levels of Glutamate/Glutamine in the frontal white matter (FWM) (p < 0.01) as well as in brain stem (p < 0.05), and higher FA and lower MD in the FWM (p < 0.05). In PASC participants, FA and MD decreased in the FWM at 12 months compared to baseline (p < 0.05). K-Trans and metabolite concentrations did not change significantly over time. Neurocognitive scores did not correlation with the increased permeability (K trans). Interpretation PASC with CI is associated with BBB impairment, loss of WM integrity, and inflammation at 3 months which significantly but not uniformly improved at 12 months. The loss of WM integrity is possibly mediated by BBB impairment and associated glutamatergic excitotoxicity.
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Affiliation(s)
- Joga Chaganti
- Thomas Jefferson University, Philadelphia, PA, United States
| | - Govinda Poudel
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Lucette Adeline Cysique
- Department of Neurology and Immunology, Peter Duncan Neuroscience Unit, St Vincent’s Hospital, University of New South Wales, Darlinghurst, NSW, Australia
| | - Gregory J. Dore
- The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, NSW, Australia
| | - Anthony Kelleher
- The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, NSW, Australia
- St Vincent’s Hospital, University of NSW, Darlinghurst, NSW, Australia
| | - Gael Matthews
- The Kirby Institute, Faculty of Medicine, University of New South Wales, Kensington, NSW, Australia
| | - David Darley
- Department of Neurology and Immunology, Peter Duncan Neuroscience Unit, St Vincent’s Hospital, University of New South Wales, Darlinghurst, NSW, Australia
| | - Anthony Byrne
- St Vincent’s Hospital, University of NSW, Darlinghurst, NSW, Australia
| | - David Jakabek
- St Vincent’s Hospital, University of NSW, Darlinghurst, NSW, Australia
| | - Xin Zhang
- Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Marrissa Lewis
- St Vincent’s Hospital, University of NSW, Darlinghurst, NSW, Australia
| | - Nikhil Jha
- The Canberra Hospital, Canberra, ACT, Australia
| | - Bruce James Brew
- Department of Neurology and Immunology, Peter Duncan Neuroscience Unit, St Vincent’s Hospital, University of New South Wales, Darlinghurst, NSW, Australia
- University of Notre Dame, Sydney, NSW, Australia
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Ji SH, Yoo RE, Choi SH, Lee WJ, Lee ST, Jeon YH, Choi KS, Lee JY, Hwang I, Kang KM, Yun TJ. Dynamic Contrast-enhanced MRI Quantification of Altered Vascular Permeability in Autoimmune Encephalitis. Radiology 2024; 310:e230701. [PMID: 38501951 DOI: 10.1148/radiol.230701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
Background Blood-brain barrier (BBB) permeability change is a possible pathologic mechanism of autoimmune encephalitis. Purpose To evaluate the change in BBB permeability in patients with autoimmune encephalitis as compared with healthy controls by using dynamic contrast-enhanced (DCE) MRI and to explore its predictive value for treatment response in patients. Materials and Methods This single-center retrospective study included consecutive patients with probable or possible autoimmune encephalitis and healthy controls who underwent DCE MRI between April 2020 and May 2021. Automatic volumetric segmentation was performed on three-dimensional T1-weighted images, and volume transfer constant (Ktrans) values were calculated at encephalitis-associated brain regions. Ktrans values were compared between the patients and controls, with adjustment for age and sex with use of a nonparametric approach. The Wilcoxon rank sum test was performed to compare Ktrans values of the good (improvement in modified Rankin Scale [mRS] score of at least two points or achievement of an mRS score of ≤2) and poor (improvement in mRS score of less than two points and achievement of an mRS score >2) treatment response groups among the patients. Results Thirty-eight patients with autoimmune encephalitis (median age, 38 years [IQR, 29-59 years]; 20 [53%] female) and 17 controls (median age, 71 years [IQR, 63-77 years]; 12 [71%] female) were included. All brain regions showed higher Ktrans values in patients as compared with controls (P < .001). The median difference in Ktrans between the patients and controls was largest in the right parahippocampal gyrus (25.1 × 10-4 min-1 [95% CI: 17.6, 43.4]). Among patients, the poor treatment response group had higher baseline Ktrans values in both cerebellar cortices (P = .03), the left cerebellar cortex (P = .02), right cerebellar cortex (P = .045), left cerebral cortex (P = .045), and left postcentral gyrus (P = .03) than the good treatment response group. Conclusion DCE MRI demonstrated that BBB permeability was increased in all brain regions in patients with autoimmune encephalitis as compared with controls, and baseline Ktrans values were higher in patients with poor treatment response in the cerebellar cortex, left cerebral cortex, and left postcentral gyrus as compared with the good response group. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Filippi and Rocca in this issue.
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Affiliation(s)
- So-Hyun Ji
- From the Department of Radiology, National Cancer Center, Goyang, Republic of Korea (S.H.J.); Departments of Radiology (R.E.Y., S.H.C., J.Y.L., I.H., K.M.K., T.J.Y.) and Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Republic of Korea (R.E.Y., S.H.C., Y.H.J., K.S.C., J.Y.L., I.H., K.M.K., T.J.Y.); Center for Nanoparticle Research, Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea (S.H.C.); and Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (W.J.L.)
| | - Roh-Eul Yoo
- From the Department of Radiology, National Cancer Center, Goyang, Republic of Korea (S.H.J.); Departments of Radiology (R.E.Y., S.H.C., J.Y.L., I.H., K.M.K., T.J.Y.) and Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Republic of Korea (R.E.Y., S.H.C., Y.H.J., K.S.C., J.Y.L., I.H., K.M.K., T.J.Y.); Center for Nanoparticle Research, Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea (S.H.C.); and Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (W.J.L.)
| | - Seung Hong Choi
- From the Department of Radiology, National Cancer Center, Goyang, Republic of Korea (S.H.J.); Departments of Radiology (R.E.Y., S.H.C., J.Y.L., I.H., K.M.K., T.J.Y.) and Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Republic of Korea (R.E.Y., S.H.C., Y.H.J., K.S.C., J.Y.L., I.H., K.M.K., T.J.Y.); Center for Nanoparticle Research, Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea (S.H.C.); and Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (W.J.L.)
| | - Woo Jin Lee
- From the Department of Radiology, National Cancer Center, Goyang, Republic of Korea (S.H.J.); Departments of Radiology (R.E.Y., S.H.C., J.Y.L., I.H., K.M.K., T.J.Y.) and Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Republic of Korea (R.E.Y., S.H.C., Y.H.J., K.S.C., J.Y.L., I.H., K.M.K., T.J.Y.); Center for Nanoparticle Research, Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea (S.H.C.); and Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (W.J.L.)
| | - Soon Tae Lee
- From the Department of Radiology, National Cancer Center, Goyang, Republic of Korea (S.H.J.); Departments of Radiology (R.E.Y., S.H.C., J.Y.L., I.H., K.M.K., T.J.Y.) and Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Republic of Korea (R.E.Y., S.H.C., Y.H.J., K.S.C., J.Y.L., I.H., K.M.K., T.J.Y.); Center for Nanoparticle Research, Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea (S.H.C.); and Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (W.J.L.)
| | - Young Hun Jeon
- From the Department of Radiology, National Cancer Center, Goyang, Republic of Korea (S.H.J.); Departments of Radiology (R.E.Y., S.H.C., J.Y.L., I.H., K.M.K., T.J.Y.) and Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Republic of Korea (R.E.Y., S.H.C., Y.H.J., K.S.C., J.Y.L., I.H., K.M.K., T.J.Y.); Center for Nanoparticle Research, Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea (S.H.C.); and Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (W.J.L.)
| | - Kyu Sung Choi
- From the Department of Radiology, National Cancer Center, Goyang, Republic of Korea (S.H.J.); Departments of Radiology (R.E.Y., S.H.C., J.Y.L., I.H., K.M.K., T.J.Y.) and Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Republic of Korea (R.E.Y., S.H.C., Y.H.J., K.S.C., J.Y.L., I.H., K.M.K., T.J.Y.); Center for Nanoparticle Research, Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea (S.H.C.); and Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (W.J.L.)
| | - Ji Ye Lee
- From the Department of Radiology, National Cancer Center, Goyang, Republic of Korea (S.H.J.); Departments of Radiology (R.E.Y., S.H.C., J.Y.L., I.H., K.M.K., T.J.Y.) and Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Republic of Korea (R.E.Y., S.H.C., Y.H.J., K.S.C., J.Y.L., I.H., K.M.K., T.J.Y.); Center for Nanoparticle Research, Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea (S.H.C.); and Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (W.J.L.)
| | - Inpyeong Hwang
- From the Department of Radiology, National Cancer Center, Goyang, Republic of Korea (S.H.J.); Departments of Radiology (R.E.Y., S.H.C., J.Y.L., I.H., K.M.K., T.J.Y.) and Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Republic of Korea (R.E.Y., S.H.C., Y.H.J., K.S.C., J.Y.L., I.H., K.M.K., T.J.Y.); Center for Nanoparticle Research, Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea (S.H.C.); and Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (W.J.L.)
| | - Koung Mi Kang
- From the Department of Radiology, National Cancer Center, Goyang, Republic of Korea (S.H.J.); Departments of Radiology (R.E.Y., S.H.C., J.Y.L., I.H., K.M.K., T.J.Y.) and Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Republic of Korea (R.E.Y., S.H.C., Y.H.J., K.S.C., J.Y.L., I.H., K.M.K., T.J.Y.); Center for Nanoparticle Research, Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea (S.H.C.); and Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (W.J.L.)
| | - Tae Jin Yun
- From the Department of Radiology, National Cancer Center, Goyang, Republic of Korea (S.H.J.); Departments of Radiology (R.E.Y., S.H.C., J.Y.L., I.H., K.M.K., T.J.Y.) and Neurology (S.T.L.), Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehangno, Jongno-gu, Seoul 03080, Republic of Korea (R.E.Y., S.H.C., Y.H.J., K.S.C., J.Y.L., I.H., K.M.K., T.J.Y.); Center for Nanoparticle Research, Institute for Basic Science, and School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea (S.H.C.); and Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (W.J.L.)
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Lee K, Yoo RE, Cho WS, Choi SH, Lee SH, Kim KM, Kang HS, Kim JE. Blood-brain barrier disruption imaging in postoperative cerebral hyperperfusion syndrome using DCE-MRI. J Cereb Blood Flow Metab 2024; 44:345-354. [PMID: 37910856 PMCID: PMC10870963 DOI: 10.1177/0271678x231212173] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 08/23/2023] [Accepted: 10/16/2023] [Indexed: 11/03/2023]
Abstract
Little has been reported about the association between cerebral hyperperfusion syndrome (CHS) and blood-brain barrier (BBB) disruption in human. We aimed to investigate the changes in permeability after bypass surgery in cerebrovascular steno-occlusive diseases using dynamic contrast-enhanced MRI (DCE-MRI) and to demonstrate the association between CHS and BBB disruption. This retrospective study included 36 patients (21 hemispheres in 18 CHS patients and 20 hemispheres in 18 controls) who underwent combined bypass surgery for moyamoya and atherosclerotic steno-occlusive diseases. DCE-MRI and arterial spin labeling perfusion-weighted imaging (ASL-PWI) were obtained at the baseline, postoperative state, and discharge. Perfusion and permeability parameters were calculated at the MCA territory (CBF(territorial), Ktrans(territorial), Vp(territorial)) and focal perianastomotic area (CBF(focal), Ktrans(focal), Vp(focal)) of operated hemispheres. As compared with the baseline, both CBF(territorial) and CBF(focal) increased in the postoperative period and decreased at discharge, corresponding well to symptoms in the CHS group. Vp(focal) was lower in the postoperative period and at discharge, as compared with the baseline. In the control group, no parameters significantly differed among the three points. In conclusion, Vp at the focal perianastomotic area significantly decreased in patients with CHS during the postoperative period. BBB disruption may be implicated in the development of CHS after bypass surgery.
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Affiliation(s)
- Kanghwi Lee
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Roh-Eul Yoo
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Won-Sang Cho
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seung Hong Choi
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
- Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul, Republic of Korea
- School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea
| | - Sung Ho Lee
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kang Min Kim
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyun-Seung Kang
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jeong Eun Kim
- Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
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Minosse S, Picchi E, Ferrazzoli V, Pucci N, Da Ros V, Giocondo R, Floris R, Garaci F, Di Giuliano F. Influence of scan duration on dynamic contrast -enhanced magnetic resonance imaging pharmacokinetic parameters for brain lesions. Magn Reson Imaging 2024; 105:46-56. [PMID: 37939968 DOI: 10.1016/j.mri.2023.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 11/01/2023] [Accepted: 11/04/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE Gadolinium-based contrast agent needs time to leak into the extravascular-extracellular space, leak back into the vascular space, and reach an equilibrium state. For this reason, acquisition times of <10 min may cause inaccurate estimation of pharmacokinetic parameters. Since no studies have been conducted on the influence of long scan times on DCE-MRI parameters in brain tumors, the aim of this study is to investigate the variation of DCE-MRI-derived kinetic parameters as a function of acquisition time, from 5 to 10 min in brain tumors. MATERIALS AND METHODS Fifty-two patients with histologically confirmed brain tumors were enrolled in this retrospective study, and examination at 3 T, DCE-MRI, with scan duration of 10 min, was used for retrospective generation of 6 sets of quantitative DCE-MRI maps (Ktrans, Ve and Kep) from 5 to 10 min. Features were extracted from the DCE-MRI maps in contrast enhancement (CE) volumes. Kruskal-Wallis with post-hoc correction and coefficient of variation (CoV) were used as statistical test to compare DCE-MRI maps obtained from 6 data sets. SIGNIFICANCE p < 0.05. RESULTS No differences in Ktrans features in CE volumes between different scan durations. Ve, Kep features in CE volumes were influenced by different data length. The highest number of significantly different Ve and Kep features in CE volumes were between 5 min and 10 min (p < 0.013), 5 min and 9 min (p < 0.044), 6 min and 10 min (p < 0.040). CoV of Kep was reduced from 5 min to 10 min, going from highly variable (CoV = 0.70) to mildly variable (CoV = 0.42). CONCLUSION Kep and Ve were time-dependent in brain tumors, so a longer scan time is needed to obtain reliable parameter values. Ktrans was found to be time-independent, as it remains the same in all 6 acquisition times and is the only reliable parameter with short acquisition times.
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Affiliation(s)
- Silvia Minosse
- Diagnostic Imaging Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, Rome 00133, Italy.
| | - Eliseo Picchi
- Diagnostic Imaging Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, Rome 00133, Italy; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy
| | - Valentina Ferrazzoli
- Neuroradiology Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, Rome 00133, Italy; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy
| | - Noemi Pucci
- Diagnostic Imaging Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, Rome 00133, Italy; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy
| | - Valerio Da Ros
- Diagnostic Imaging Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, Rome 00133, Italy; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy
| | - Raffaella Giocondo
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy
| | - Roberto Floris
- Diagnostic Imaging Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, Rome 00133, Italy; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy
| | - Francesco Garaci
- Neuroradiology Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, Rome 00133, Italy; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy; San Raffaele Cassino, Via Gaetano di Biasio 1, Cassino 03043, Italy
| | - Francesca Di Giuliano
- Neuroradiology Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Viale Oxford 81, Rome 00133, Italy; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, Rome 00133, Italy
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Elschot EP, Backes WH, de Jong JJA, Drenthen GS, Wong SM, Staals J, Postma AA, Rouhl RPW, van Oostenbrugge RJ, Jansen JFA. Assessment of the clinical feasibility of detecting subtle blood-brain barrier leakage in cerebral small vessel disease using dynamic susceptibility contrast MRI. Magn Reson Imaging 2023; 102:55-61. [PMID: 37137345 DOI: 10.1016/j.mri.2023.04.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 04/26/2023] [Accepted: 04/26/2023] [Indexed: 05/05/2023]
Abstract
PURPOSE Cerebral small vessel disease (cSVD) involves several pathologies affecting the small vessels, including blood-brain barrier (BBB) impairment. Dynamic susceptibility contrast (DSC) MRI is sensitive to both blood perfusion and BBB leakage, and correction methods may be crucial for obtaining reliable perfusion measures. These methods might also be applicable to detect BBB leakage itself. This study investigated to what extent DSC-MRI can measure subtle BBB leakage in a clinical feasibility setting. METHODS In vivo DCE and DSC data were collected from fifteen cSVD patients (71 (±10) years, 6F/9M) and twelve elderly controls (71 (±10) years, 4F/8M). DSC-derived leakage fractions were obtained using the Boxerman-Schmainda-Weisskoff method (K2). K2 was compared with the DCE-derived leakage rate Ki, obtained from Patlak analysis. Subsequently, differences were assessed between white matter hyperintensities (WMH), cortical gray matter (CGM), and normal-appearing white matter (NAWM). Additionally, computer simulations were performed to assess the sensitivity of DSC-MRI to BBB leakage. RESULTS K2 showed significant differences between tissue regions (P < 0.001 for CGM-NAWM and CGM-WMH, and P = 0.001 for NAWM-WMH). Conversely, according to the computer simulations the DSC sensitivity was insufficient to measure subtle BBB leakage, as the K2 values were below the derived limit of quantification (4∙10-3 min-1). As expected, Ki was elevated in the WMH compared to CGM and NAWM (P < 0.001). CONCLUSIONS Although clinical DSC-MRI seems capable to detect subtle BBB leakage differences between WMH and normal-appearing brain tissue it is not recommended. K2 as a direct measure for subtle BBB leakage remains ambiguous as its signal effects are due to mixed T1- and T2∗-weighting. Further research is warranted to better disentangle perfusion from leakage effects.
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Affiliation(s)
- Elles P Elschot
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Walter H Backes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands; School for Cardiovascular Diseases (CARIM), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Joost J A de Jong
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Gerhard S Drenthen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Sau May Wong
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Cardiovascular Diseases (CARIM), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Rob P W Rouhl
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; Academic Center for Epileptology Kempenhaeghe/MUMC+, Heeze and Maastricht, the Netherlands
| | - Robert J van Oostenbrugge
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Cardiovascular Diseases (CARIM), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, P. Debyelaan 25, Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Minderbroedersberg 4-6, Maastricht, the Netherlands; Department of Electrical Engineering, Eindhoven University of Technology, De Rondom 70, Eindhoven, the Netherlands; Academic Center for Epileptology Kempenhaeghe/MUMC+, Heeze and Maastricht, the Netherlands.
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7
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Cramer SP, Larsson HBW, Knudsen MH, Simonsen HJ, Vestergaard MB, Lindberg U. Reproducibility and Optimal Arterial Input Function Selection in Dynamic Contrast-Enhanced Perfusion MRI in the Healthy Brain. J Magn Reson Imaging 2023; 57:1229-1240. [PMID: 35993510 DOI: 10.1002/jmri.28380] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Dynamic contrast-enhanced MRI (DCE-MRI) has seen increasing use for quantification of low level of blood-brain barrier (BBB) leakage in various pathological disease states and correlations with clinical outcomes. However, currently there exists limited studies on reproducibility in healthy controls, which is important for the establishment of a normality threshold for future research. PURPOSE To investigate the reproducibility of DCE-MRI and to evaluate the effect of arterial input function (AIF) selection and manual region of interests (ROI) delineation vs. automated global segmentation. STUDY TYPE Prospective. POPULATION A total of 16 healthy controls; 11 females; mean age 28.7 years (SD 10.1). FIELD STRENGTH/SEQUENCE A 3T; GE DCE; 3D TFE T1WI. 2D TSE T2. ASSESSMENT The influx constant Ki , a measure of BBB permeability, and Vp , the blood plasma volume, was calculated using the Patlak model. Cerebral blood flow (CBF) was calculated using Tikhonov model free deconvolution. Manual tissue ROIs, drawn by H.J.S. (30+ years of experience), were compared to automatic tissue segmentation. STATISTICAL TESTS Intraclass correlation coefficient (ICC) and repeatability coefficient (RC) was used to assess reproducibility. Bland-Altman plots were used to evaluate agreement between measurements day 1 vs. day 2, and manual vs. segmentation method. RESULTS Ki showed excellent reproducibility in both white and gray matter with an ICC between 0.79 and 0.82 and excellent agreement between manual ROI and automatic segmentation, with an ICC of 0.89 for Ki in WM. Furthermore, Ki values in gray and white matter conforms with histological tissue characteristics, where gray matter generally has a 2-fold higher vessel density. The highest reproducibility measures of Ki (ICC = 0.83), CBF (ICC = 0.77) and Vd (ICC = 0.83) was obtained with the AIF sampled in the internal carotid artery (ICA). DATA CONCLUSION DCE-MRI shows excellent reproducibility of pharmacokinetic variables derived from healthy controls. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Stig P Cramer
- Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Copenhagen, Denmark
| | - Henrik B W Larsson
- Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Copenhagen, Denmark.,Institute of Clinical Medicine, Faculty of Health and Medical Science, Copenhagen University, Denmark
| | - Maria H Knudsen
- Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Copenhagen, Denmark
| | - Helle J Simonsen
- Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Copenhagen, Denmark
| | - Mark B Vestergaard
- Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Copenhagen, Denmark
| | - Ulrich Lindberg
- Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Copenhagen, Denmark
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8
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Bakhtiari A, Vestergaard MB, Benedek K, Fagerlund B, Mortensen EL, Osler M, Lauritzen M, Larsson HBW, Lindberg U. Changes in hippocampal volume during a preceding 10-year period do not correlate with cognitive performance and hippocampal blood‒brain barrier permeability in cognitively normal late-middle-aged men. GeroScience 2022; 45:1161-1175. [PMID: 36534276 PMCID: PMC9886720 DOI: 10.1007/s11357-022-00712-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022] Open
Abstract
Hippocampal blood-brain barrier (BBB) permeability may increase in normal healthy ageing and contribute to neurodegenerative disease. To examine this hypothesis, we investigated the correlation between blood-brain barrier (BBB) permeability, regional brain volume, memory functions and health and lifestyle factors in The Metropolit 1953 Danish Male Birth Cohort. We used dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with a gadolinium-based contrast agent to assess BBB permeability in 77 participants in the cohort. BBB permeability was measured as Ki values in the hippocampus, thalamus and white matter. Over a 10-year period, we observed progressive atrophy of both the left and right hippocampus (p = 0.001). There was no significant correlation between current BBB permeability and hippocampal volume, prior atrophy or cognition. The hippocampus volume ratio was associated with better visual and verbal memory scores (p < 0.01). Regional BBB differences revealed higher Ki values in the hippocampus and white matter than in the thalamus (p < 0.001). Participants diagnosed with type II diabetes had significantly higher BBB permeability in the white matter (p = 0.015) and thalamus (p = 0.016), which was associated with a higher Fazekas score (p = 0.024). We do not find evidence that BBB integrity is correlated with age-related hippocampal atrophy or cognitive functions. The association between diabetes, white matter hyperintensities and increased BBB permeability is consistent with the idea that cerebrovascular disease compromises BBB integrity. Our findings suggest that the hippocampus is particularly prone to age-related atrophy, which may explain some of the cognitive changes that accompany older age, but this prior atrophy is not correlated with current BBB permeability.
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Affiliation(s)
- Aftab Bakhtiari
- Department of Clinical Neurophysiology, The Neuroscience Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark. .,Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet Glostrup, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark. .,Faculty of Health and Medical Sciences, Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark. .,Center for Healthy Aging, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Mark B. Vestergaard
- Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet Glostrup, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Krisztina Benedek
- Department of Clinical Neurophysiology, The Neuroscience Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Birgitte Fagerlund
- Department of Psychology, University of Copenhagen, Copenhagen, Denmark ,Child and Adolescent Mental Health Center, Copenhagen University Hospital – Mental Health Services CPH, Copenhagen, Denmark
| | | | - Merete Osler
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark ,Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Martin Lauritzen
- Department of Clinical Neurophysiology, The Neuroscience Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark ,Faculty of Health and Medical Sciences, Department of Neuroscience, University of Copenhagen, Copenhagen, Denmark ,Center for Healthy Aging, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik B. W. Larsson
- Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet Glostrup, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark ,Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Ulrich Lindberg
- Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet Glostrup, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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9
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Solar P, Hendrych M, Barak M, Valekova H, Hermanova M, Jancalek R. Blood-Brain Barrier Alterations and Edema Formation in Different Brain Mass Lesions. Front Cell Neurosci 2022; 16:922181. [PMID: 35910247 PMCID: PMC9334679 DOI: 10.3389/fncel.2022.922181] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 06/20/2022] [Indexed: 12/03/2022] Open
Abstract
Differential diagnosis of brain lesion pathologies is complex, but it is nevertheless crucial for appropriate clinical management. Advanced imaging methods, including diffusion-weighted imaging and apparent diffusion coefficient, can help discriminate between brain mass lesions such as glioblastoma, brain metastasis, brain abscesses as well as brain lymphomas. These pathologies are characterized by blood-brain barrier alterations and have been extensively studied. However, the changes in the blood-brain barrier that are observed around brain pathologies and that contribute to the development of vasogenic brain edema are not well described. Some infiltrative brain pathologies such as glioblastoma are characterized by glioma cell infiltration in the brain tissue around the tumor mass and thus affect the nature of the vasogenic edema. Interestingly, a common feature of primary and secondary brain tumors or tumor-like brain lesions characterized by vasogenic brain edema is the formation of various molecules that lead to alterations of tight junctions and result in blood-brain barrier damage. The resulting vasogenic edema, especially blood-brain barrier disruption, can be visualized using advanced magnetic resonance imaging techniques, such as diffusion-weighted imaging and apparent diffusion coefficient. This review presents a comprehensive overview of blood-brain barrier changes contributing to the development of vasogenic brain edema around glioblastoma, brain metastases, lymphomas, and abscesses.
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Affiliation(s)
- Peter Solar
- Department of Neurosurgery, St. Anne’s University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czechia
- Department of Neurosurgery, St. Anne’s University Hospital, Brno, Czechia
| | - Michal Hendrych
- First Department of Pathology, St. Anne’s University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czechia
- First Department of Pathology, St. Anne’s University Hospital, Brno, Czechia
| | - Martin Barak
- Department of Neurosurgery, St. Anne’s University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czechia
- Department of Neurosurgery, St. Anne’s University Hospital, Brno, Czechia
| | - Hana Valekova
- Department of Neurosurgery, St. Anne’s University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czechia
- Department of Neurosurgery, St. Anne’s University Hospital, Brno, Czechia
| | - Marketa Hermanova
- First Department of Pathology, St. Anne’s University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czechia
- First Department of Pathology, St. Anne’s University Hospital, Brno, Czechia
| | - Radim Jancalek
- Department of Neurosurgery, St. Anne’s University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czechia
- Department of Neurosurgery, St. Anne’s University Hospital, Brno, Czechia
- *Correspondence: Radim Jancalek,
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10
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Blood-brain barrier permeability changes in the first year after alemtuzumab treatment predict 2-year outcomes in relapsing-remitting multiple sclerosis. Mult Scler Relat Disord 2022; 63:103891. [DOI: 10.1016/j.msard.2022.103891] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/01/2022] [Accepted: 05/13/2022] [Indexed: 11/22/2022]
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11
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Stringer MS, Heye AK, Armitage PA, Chappell F, Valdés Hernández MDC, Makin SDJ, Sakka E, Thrippleton MJ, Wardlaw JM. Tracer kinetic assessment of blood-brain barrier leakage and blood volume in cerebral small vessel disease: Associations with disease burden and vascular risk factors. Neuroimage Clin 2022; 32:102883. [PMID: 34911189 PMCID: PMC8607271 DOI: 10.1016/j.nicl.2021.102883] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 11/16/2021] [Indexed: 12/01/2022]
Abstract
Permeability surface area (PS) was higher, even in normal appearing tissue. PS was higher in patients with more white matter hyperintensities. Tissue damage affecting vascular surface area may affect how we interpret tracer kinetic results.
Subtle blood–brain barrier (BBB) permeability increases have been shown in small vessel disease (SVD) using various analysis methods. Following recent consensus recommendations, we used Patlak tracer kinetic analysis, considered optimal in low permeability states, to quantify permeability-surface area product (PS), a BBB leakage estimate, and blood plasma volume (vP) in 201 patients with SVD who underwent dynamic contrast-enhanced MRI scans. We ran multivariable regression models with a quantitative or qualitative metric of white matter hyperintensity (WMH) severity, demographic and vascular risk factors. PS increased with WMH severity in grey (B = 0.15, Confidence Interval (CI): [0.001,0.299], p = 0.049) and normal-appearing white matter (B = 0.015, CI: [−0.008,0.308], p = 0.062). Patients with more severe WMH had lower vP in WMH (B = -0.088, CI: [−0.138,-0.039], p < 0.001), but higher vP in normal-appearing white matter (B = 0.031, CI: [−0.004,0.065], p = 0.082). PS and vP were lower at older ages in WMH, grey and white matter. We conclude higher PS in normal-appearing tissue with more severe WMH suggests impaired BBB integrity beyond visible lesions indicating that the microvasculature is compromised in normal-appearing white matter and WMH. BBB dysfunction is an important mechanism in SVD, but associations with clinical variables are complex and underlying damage affecting vascular surface area may alter interpretation of tracer kinetic results.
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Affiliation(s)
- Michael S Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK DRI at the University of Edinburgh, University of Edinburgh, Edinburgh, UK
| | - Anna K Heye
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Edinburgh Clinical Trials Unit, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Paul A Armitage
- Academic Unit of Radiology, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Royal Hallamshire Hospital, Sheffield, UK
| | - Francesca Chappell
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK DRI at the University of Edinburgh, University of Edinburgh, Edinburgh, UK
| | - Maria Del C Valdés Hernández
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK DRI at the University of Edinburgh, University of Edinburgh, Edinburgh, UK
| | | | - Eleni Sakka
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK DRI at the University of Edinburgh, University of Edinburgh, Edinburgh, UK
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK DRI at the University of Edinburgh, University of Edinburgh, Edinburgh, UK.
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK DRI at the University of Edinburgh, University of Edinburgh, Edinburgh, UK
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12
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Oghabian MA, Fatemidokht A, Haririchian MH. Quantification of Blood-Brain-Barrier Permeability Dysregulation and Inflammatory Activity in MS Lesions by Dynamic-Contrast Enhanced MR Imaging. Basic Clin Neurosci 2022; 13:117-128. [PMID: 36589018 PMCID: PMC9790105 DOI: 10.32598/bcn.2022.575.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Revised: 08/08/2020] [Accepted: 09/09/2020] [Indexed: 01/04/2023] Open
Abstract
Introduction Introduction: blood-brain-barrier perfusion characterization impaired in MS as some studies have shown recently but a comparison between perfusion parameters in contrast-enhanced and non-enhanced lesions not have been well documented. Pharmacokinetic quantitative parameters have obtained from dynamic contrast-enhanced in magnetic resonance imaging is a useful way to quantify blood-brain barrier permeability leakage. Methods MR examination was performed on 28 patients with Relapsing-remitted Multiple Sclerosis (RRMS) with (Mean±SD age: 34.7±9.28) which had multiple lesions in the brain.3D dynamic T1-weighted spoiled gradient echo was obtained and Perfusion parameters and its map assessed in enhanced and non-enhanced lesions after intravascular injection differences in parameters and map obtained by analyzing ROI in Extended Toft model. Results permeability as measured Krtans was a significantly higher value in CE to compare NE lesions. Ktrans and Kep have significant differences in NAWM and CE and NE lesions. Vb was slightly different in NE and CE lesions. Conclusion Permeability measured as Ktrans was the good parameter to show permeability impairment of BBB in CE lesions. Dysregulation in BBB is an acceptable sign to indicate existence inflammation in CE lesions. Highlights Multiple Sclerosis,Inflammation,Blood-brain-barrier dysregulation. Plain Language Summary Inflammation activity in MS patients has an important role to cause BBB dysfunction.in this article to achieve results to confirm the inflammation importance in MS patients with acute lesions. MRI modality have been used and with comparison between acute and chronic lesions and NAWM of MS patient's presence of inflammation have been proved.
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Affiliation(s)
- Mohammad Ali Oghabian
- Department of Neuroimaging and Analysis, Research Center for Cellular and Molecular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Asieh Fatemidokht
- Department of Biomedical Engineering and Medical Physics, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Hossein Haririchian
- Iranian Center of Neurological Research, Neuroscience Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
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13
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Wang J, Payne SJ. Mathematical modelling of haemorrhagic transformation after ischaemic stroke. J Theor Biol 2021; 531:110920. [PMID: 34582828 DOI: 10.1016/j.jtbi.2021.110920] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 09/20/2021] [Accepted: 09/22/2021] [Indexed: 11/15/2022]
Abstract
With an increasingly elderly population globally, the impacts of cerebrovascular diseases, such as stroke and dementia, become increasingly significant. Haemorrhagic transformation (HT) is one of the most common complications of ischaemic stroke that is caused by dysfunction of endothelial cells in the blood-brain barrier (BBB) and that can be exacerbated by thrombolytic therapy. Recent studies also suggest that HT can lead to an increase in intracranial pressure (ICP) and result in capillary compression. The aim of this study is to develop a mathematical model that can be used to simulate the consequence of HT over a range of vasculature length scales. We use a 2D vasculature model to investigate the severity of HT with different vascular geometry. The resulting model shows that the haematoma radius is approximately constant across different length scales (100-1000μm) and in good agreement with the available experimental data. In addition, this study identified that the effects of capillary compression do appear to have a significant impact on the leakage fraction of blood and hence act to restrain the development of a haematoma.
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Affiliation(s)
- Jiayu Wang
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
| | - Stephen J Payne
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
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14
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Loos WS, Souza R, Andersen LB, Lebel RM, Frayne R. Extraction of a vascular function for a fully automated dynamic contrast-enhanced magnetic resonance brain image processing pipeline. Magn Reson Med 2021; 87:1561-1573. [PMID: 34708417 DOI: 10.1002/mrm.29054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 09/30/2021] [Accepted: 10/01/2021] [Indexed: 12/16/2022]
Abstract
PURPOSE To develop a deep-learning model that leverages the spatial and temporal information from dynamic contrast-enhanced magnetic resonance (DCE MR) brain imaging in order to automatically estimate a vascular function (VF) for quantitative pharmacokinetic (PK) modeling. METHODS Patients with glioblastoma multiforme were scanned post-resection approximately every 2 months using a high spatial and temporal resolution DCE MR imaging sequence ( ≈ 5 s and ≈ 2 cm3 ). A region over the transverse sinus was manually drawn in the dynamic T1-weighted images to provide a ground truth VF. The manual regions and their resulting VF curves were used to train a deep-learning model based on a 3D U-net architecture. The model concurrently utilized the spatial and temporal information in DCE MR images to predict the VF. In order to analyze the contribution of the spatial and temporal terms, different weighted combinations were examined. The manual and deep-learning predicted regions and VF curves were compared. RESULTS Forty-three patients were enrolled in this study and 155 DCE MR scans were processed. The 3D U-net was trained using a loss function that combined the spatial and temporal information with different weightings. The best VF curves were obtained when both spatial and temporal information were considered. The predicted VF curve was similar to the manual ground truth VF curves. CONCLUSION The use of spatial and temporal information improved VF curve prediction relative to when only the spatial information is used. The method generalized well for unseen data and can be used to automatically estimate a VF curve suitable for quantitative PK modeling. This method allows for a more efficient clinical pipeline and may improve automation of permeability mapping.
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Affiliation(s)
- Wallace S Loos
- Radiology and Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Seaman Family MR Research Centre, Foothills Medical Centre, Calgary, Alberta, Canada
| | - Roberto Souza
- Seaman Family MR Research Centre, Foothills Medical Centre, Calgary, Alberta, Canada.,Electrical and Software Engineering, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Linda B Andersen
- Radiology and Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Seaman Family MR Research Centre, Foothills Medical Centre, Calgary, Alberta, Canada
| | - R Marc Lebel
- Radiology and Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Seaman Family MR Research Centre, Foothills Medical Centre, Calgary, Alberta, Canada.,General Electric Healthcare, Calgary, Alberta, Canada
| | - Richard Frayne
- Radiology and Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Seaman Family MR Research Centre, Foothills Medical Centre, Calgary, Alberta, Canada
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15
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Jin S, Cho HJ. Model-free leakage index estimation of the blood-brain barrier using dual dynamic susceptibility contrast MRI acquisition. NMR IN BIOMEDICINE 2021; 34:e4570. [PMID: 34132432 DOI: 10.1002/nbm.4570] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 04/30/2021] [Accepted: 05/23/2021] [Indexed: 06/12/2023]
Abstract
Pharmacokinetic K2 mapping from dynamic susceptibility contrast (DSC)-MRI can be a sensitive technique for evaluating the vascular permeability of the subtly damaged blood-brain barrier (BBB) in ischemic regions. However, the K2 values of ischemic lesions depend upon the selection of the intact BBB reference region. As previous observations suggest that the ΔR2* curve of pre-loaded DSC-MRI is not significantly affected by the extravasation of contrast agent, dual DSC-MRI acquisitions can be performed to derive the BBB leakage index from the voxel-wise reference input function for ischemic regions. This study aims to demonstrate the robustness of such model-free leakage index estimation in ischemic brains. By configuring the relationship between dual ΔR2* curves of the intact contralateral brain, the deviation of the measured ΔR2* curve from the unloaded DSC-MRI with respect to the non-deviated ΔR2* curve in the pre-loaded DSC-MRI can be quantified as the BBB leakage index. Such model-free leakage index values from rats with transient middle carotid artery occlusion (tMCAO) (n = 17) and normal controls (n = 3) were evaluated and compared with conventional K2 values with multiple reference regions. Inter-subject leakage index values were also compared with the corresponding ΔT1 map. Evans-blue-stained images were used to validate the leakage index. For the tMCAO group, leakage index values correlated well with ΔT1 (Pearson's r = 0.828). The hyperintense area on the leakage index map matched well with the corresponding Evans-blue-stained area (Dice correlation = 0.626). The slopes of the scatter-plot from the leakage index (0.97-1.00) were observed to be more robust against changes in the reference region than those from conventional K2 values (0.94-1.07). In a subtly damaged BBB tMCAO model, model-free evaluation of vascular permeability using dual DSC-MRIs would provide a consistent measure of inter-subject vascular permeability.
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Affiliation(s)
- Seokha Jin
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
| | - Hyung Joon Cho
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
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16
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Wang Y, Li E, Cherry SR, Wang G. Total-Body PET Kinetic Modeling and Potential Opportunities Using Deep Learning. PET Clin 2021; 16:613-625. [PMID: 34353745 PMCID: PMC8453049 DOI: 10.1016/j.cpet.2021.06.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The uEXPLORER total-body PET/CT system provides a very high level of detection sensitivity and simultaneous coverage of the entire body for dynamic imaging for quantification of tracer kinetics. This article describes the fundamentals and potential benefits of total-body kinetic modeling and parametric imaging focusing on the noninvasive derivation of blood input function, multiparametric imaging, and high-temporal resolution kinetic modeling. Along with its attractive properties, total-body kinetic modeling also brings significant challenges, such as the large scale of total-body dynamic PET data, the need for organ and tissue appropriate input functions and kinetic models, and total-body motion correction. These challenges, and the opportunities using deep learning, are discussed.
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Affiliation(s)
- Yiran Wang
- Department of Biomedical Engineering, University of California, 451 E. Health Sciences Drive, Davis, CA 95616, USA; Department of Radiology, University of California Davis Medical Center, Ambulatory Care Center, Building Suite 3100, 4860 Y Street, Sacramento, CA 95817, USA
| | - Elizabeth Li
- Department of Biomedical Engineering, University of California, 451 E. Health Sciences Drive, Davis, CA 95616, USA
| | - Simon R Cherry
- Department of Biomedical Engineering, University of California, 451 E. Health Sciences Drive, Davis, CA 95616, USA; Department of Radiology, University of California Davis Medical Center, Ambulatory Care Center, Building Suite 3100, 4860 Y Street, Sacramento, CA 95817, USA
| | - Guobao Wang
- Department of Radiology, University of California Davis Medical Center, Ambulatory Care Center, Building Suite 3100, 4860 Y Street, Sacramento, CA 95817, USA.
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17
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Sasi S D, Gupta RK, Patir R, Ahlawat S, Vaishya S, Singh A. A comprehensive evaluation and impact of normalization of generalized tracer kinetic model parameters to characterize blood-brain-barrier permeability in normal-appearing and tumor tissue regions of patients with glioma. Magn Reson Imaging 2021; 83:77-88. [PMID: 34311065 DOI: 10.1016/j.mri.2021.07.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 07/04/2021] [Accepted: 07/20/2021] [Indexed: 11/27/2022]
Abstract
RATIONALE AND OBJECTIVES To comprehensively evaluate robustness and variations of DCE-MRI derived generalized-tracer-kinetic-model (GTKM) parameters in healthy and tumor tissues and impact of normalization in mitigating these variations on application to glioma. MATERIALS (PATIENTS) AND METHODS A retrospective study included pre-operative 31 high-grade-glioma(HGG), 22 low-grade-glioma(LGG) and 33 follow-up data from 10 patients a prospective study with 4 HGG subjects. Voxel-wise GTKM was fitted to DCE-MRI data to estimate Ktrans, ve, vb. Simulations were used to evaluate noise sensitivity. Variation of parameters with-respect-to arterial-input-function (AIF) variation and data length were studied. Normalization of parameters with-respect-to mean values in gray-matter (GM) and white-matter (WM) regions (GM-Type-2, WM-Type-2) and mean curves (GM-Type-1, WM-Type-1) were also evaluated. Co-efficient-of-variation(CoV), relative-percentage-error (RPE), Box-Whisker plots, bar graphs and t-test were used for comparison. RESULTS GTKM was fitted well in all tissue regions. Ktrans and ve in contrast-enhancing (CE) has shown improved noise sensitivity in longer data. vb was reliable in all tissues. Mean AIF and C(t) peaks showed ~38% and ~35% variations. During simulation, normalizations have mitigated variations due to changes in AIF amplitude in Ktrans and vb.. ve was less sensitive to normalizations. CoV of Ktrans and vb has reduced ~70% after GM-Type-1 normalization and ~80% after GM-Type-2 normalization, respectively. GM-Type-1 (p = 0.003) and GM-Type-2 (p = 0.006) normalizations have significantly improved differentiation of HGG and LGG using Ktrans. CONCLUSION Ktrans and vb can be reliably estimated in normal-appearing brain tissues and can be used for normalization of corresponding parameters in tumor tissues for mitigating inter-subject variability due to errors in AIF. Normalized Ktrans and vb provided improved differentiation of HGG and LGG.
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Affiliation(s)
- Dinil Sasi S
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India
| | - Rakesh K Gupta
- Department of Radiology and Imaging, Fortis Memorial Research Institute, Gurugram, India
| | - Rana Patir
- Department of Neurosurgery, Fortis Memorial Research Institute, Gurugram, India
| | - Suneeta Ahlawat
- SRL Diagnostics, Fortis Memorial Research Institute, Gurugram, India
| | - Sandeep Vaishya
- Department of Neurosurgery, Fortis Memorial Research Institute, Gurugram, India
| | - Anup Singh
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India; Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India.
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18
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Ha IH, Lim C, Kim Y, Moon Y, Han SH, Moon WJ. Regional Differences in Blood-Brain Barrier Permeability in Cognitively Normal Elderly Subjects: A Dynamic Contrast-Enhanced MRI-Based Study. Korean J Radiol 2021; 22:1152-1162. [PMID: 33739632 PMCID: PMC8236362 DOI: 10.3348/kjr.2020.0816] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Revised: 09/18/2020] [Accepted: 09/27/2020] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE This study aimed to determine whether there are regional differences in the blood-brain barrier (BBB) permeability of cognitively normal elderly participants and to identify factors influencing BBB permeability with a clinically feasible, 10-minute dynamic contrast-enhanced (DCE) MRI protocol. MATERIALS AND METHODS This IRB-approved prospective study recruited 35 cognitively normal adults (26 women; mean age, 64.5 ± 5.6 years) who underwent DCE T1-weighted imaging. Permeability maps (Ktrans) were coregistered with masks to calculate the mean regional values. The paired t test and Friedman test were used to compare Ktrans between different regions. The relationships between Ktrans and the factors of age, sex, education, cognition score, vascular risk burden, vascular factors on imaging, and medial temporal lobar atrophy were assessed using Pearson correlation and the Spearman rank test. RESULTS The mean permeability rates of the right and left hippocampi, as assessed with automatic segmentation, were 0.529 ± 0.472 and 0.585 ± 0.515 (Ktrans, × 10-3 min-1), respectively. Concerning the deep gray matter, the Ktrans of the thalamus was significantly greater than those of the putamen and hippocampus (p = 0.007, p = 0.041). Regarding the white matter, the Ktrans value of the occipital white matter was significantly greater than those of the frontal, cingulate, and temporal white matter (p < 0.0001, p = 0.0007, p = 0.0002). The variations in Ktrans across brain regions were not related to age, cognitive score, vascular risk burden, vascular risk factors on imaging, or medial temporal lobar atrophy in the study group. CONCLUSION Our study demonstrated regional differences in BBB permeability (Ktrans) in cognitively normal elderly adults using a clinically acceptable 10-minutes DCE imaging protocol. The regional differences suggest that the integrity of the BBB varies across the brains of cognitively normal elderly adults. We recommend considering regional differences in Ktrans values when evaluating BBB permeability in patients with neurodegenerative diseases.
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Affiliation(s)
- Il Heon Ha
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Changmok Lim
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Yeahoon Kim
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Yeonsil Moon
- Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Seol Heui Han
- Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Won Jin Moon
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.
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19
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Canjels LPW, Jansen JFA, van den Kerkhof M, Alers RJ, Poser BA, Wiggins CJ, Schiffer VMMM, van de Ven V, Rouhl RPW, Palm WM, van Oostenbrugge RJ, Aldenkamp AP, Ghossein-Doha C, Spaanderman MEA, Backes WH. 7T dynamic contrast-enhanced MRI for the detection of subtle blood-brain barrier leakage. J Neuroimaging 2021; 31:902-911. [PMID: 34161640 PMCID: PMC8519128 DOI: 10.1111/jon.12894] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/29/2021] [Accepted: 05/21/2021] [Indexed: 12/01/2022] Open
Abstract
Background and Purpose Dynamic contrast‐enhanced MRI (DCE‐MRI) can be employed to assess the blood–brain barrier (BBB) integrity. Detection of BBB leakage at lower field strengths (≤3T) is cumbersome as the signal is noisy, while leakage can be subtle. Utilizing the increased signal‐to‐noise ratio at higher field strengths, we explored the application of 7T DCE‐MRI for assessing BBB leakage. Methods A dual‐time resolution DCE‐MRI method was implemented at 7T and a slow injection rate (0.3 ml/s) and low dose (3 mmol) served to obtain signal changes linearly related to the gadolinium concentration, that is, minimized for T2* degradation effects. With the Patlak graphical approach, the leakage rate (Ki) and blood plasma volume fraction (vp) were calculated. The method was evaluated in 10 controls, an ischemic stroke patient, and a patient with a transient ischemic attack. Results Ki and vp were significantly higher in gray matter compared to white matter of all participants. These Ki values were higher in both patients compared to the control subjects. Finally, for the lesion identified in the ischemic stroke patient, higher leakage values were observed compared to normal‐appearing tissue. Conclusion We demonstrate how a dual‐time resolution DCE‐MRI protocol at 7T, with administration of half the clinically used contrast agent dose, can be used for assessing subtle BBB leakage. Although the feasibility of DCE‐MRI for assessing the BBB integrity at 3T is well known, we showed that a continuous sampling DCE‐MRI method tailored for 7T is also capable of assessing leakage with a high sensitivity over a range of Ki values.
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Affiliation(s)
- Lisanne P W Canjels
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.,MHENS, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.,MHENS, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Marieke van den Kerkhof
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.,MHENS, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Robert-Jan Alers
- Department of Gynecology and Obstetrics, Maastricht University Medical Center, Maastricht, the Netherlands.,GROW, School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Benedikt A Poser
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | | | - Veronique M M M Schiffer
- Department of Gynecology and Obstetrics, Maastricht University Medical Center, Maastricht, the Netherlands.,GROW, School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Vincent van de Ven
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Rob P W Rouhl
- MHENS, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.,Academic Center for Epileptology Kempenhaeghe/Maastricht UMC+, Heeze and Maastricht, the Netherlands
| | - W M Palm
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Robert J van Oostenbrugge
- MHENS, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.,CARIM, School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - Albert P Aldenkamp
- MHENS, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.,Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.,Academic Center for Epileptology Kempenhaeghe/Maastricht UMC+, Heeze and Maastricht, the Netherlands
| | - Chahinda Ghossein-Doha
- GROW, School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands.,CARIM, School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands.,Department of Cardiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Marc E A Spaanderman
- Department of Gynecology and Obstetrics, Maastricht University Medical Center, Maastricht, the Netherlands.,GROW, School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Walter H Backes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.,MHENS, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,CARIM, School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
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20
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Sun H, Hu H, Liu C, Sun N, Duan C. Methods used for the measurement of blood-brain barrier integrity. Metab Brain Dis 2021; 36:723-735. [PMID: 33635479 DOI: 10.1007/s11011-021-00694-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 02/11/2021] [Indexed: 01/12/2023]
Abstract
The blood-brain barrier (BBB) comprises the interface between blood, brain and cerebrospinal fluid. Its primary function, which is mainly carried out by tight junctions, is to stabilize the tightly controlled microenvironment of the brain. To study the development and maintenance of the BBB, as well as various roles their intrinsic mechanisms that play in neurological disorders, suitable measurements are required to demonstrate integrity and functional changes at the interfaces between the blood and brain tissue. Markers and plasma proteins with different molecular weight (MW) are used to measure the permeability of BBB. In addition, the expression changes of tight-junction proteins form the basic structure of BBB, and imaging modalities are available to study the disruption of BBB. In the present review, above mentioned methods are depicted in details, together with the pros and cons as well as the differences between these methods, which maybe benefit research studies focused on the detection of BBB breakdown.
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Affiliation(s)
- Huixin Sun
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Department of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Huiling Hu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Department of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong Province, China
| | - Chuanjie Liu
- Weihai City Key Laboratory of Autoimmunity, Weihai Central Hospital, Weihai, 264400, Shandong Province, China
| | - Nannan Sun
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
| | - Chaohui Duan
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
- Department of Clinical Laboratory, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong Province, China.
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21
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Moon WJ, Lim C, Ha IH, Kim Y, Moon Y, Kim HJ, Han SH. Hippocampal blood-brain barrier permeability is related to the APOE4 mutation status of elderly individuals without dementia. J Cereb Blood Flow Metab 2021; 41:1351-1361. [PMID: 32936729 PMCID: PMC8142140 DOI: 10.1177/0271678x20952012] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Blood-brain barrier (BBB) disruption, modulated by APOE4 mutation, is implicated in the pathogenesis of cognitive decline. We determined whether BBB permeability differed according to cognitive functioning and APOE4 status in elderly subjects without dementia. In this prospective study, 33 subjects with mild cognitive impairment (MCI) and 33 age-matched controls (normal cognition [NC]) underwent 3 T brain magnetic resonance imaging. The Patlak model was used to calculate tissue permeability (Ktrans). A region-of interest analysis of Ktrans was performed to compare relevant brain regions. Effects of Ktrans on cognitive functioning were evaluated with linear regression analysis adjusted for confounding factors. NC and MCI groups did not differ in terms of vascular risk factors or hippocampal Ktrans, except for hippocampal volume. Hippocampal Ktrans was significantly higher in APOE4 carriers than in non-carriers (p = 0.007). Factors which predicted cognitive functioning included hippocampal volume (beta=-0.445, standard error [SE]=0.137, p = 0.003) and hippocampal BBB permeability (beta = 0.142, SE = 0.050, p = 0.008) after correcting for age, education, and APOE4 status. This suggests that hippocampal BBB permeability is associated with APOE4 mutation, and may predict cognitive functioning. BBB permeability imaging represents a distinct imaging biomarker for APOE4 mutations in NC and MCI subjects and for determining the degree of APOE4-related pathology.
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Affiliation(s)
- Won-Jin Moon
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Changmok Lim
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Il Heon Ha
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Yeahoon Kim
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Yeonsil Moon
- Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Hee-Jin Kim
- Department of Neurology, Hanyang University Medical Center, Hanyang University College of Medicine, Seoul, Korea
| | - Seol-Heui Han
- Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
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22
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Manning C, Stringer M, Dickie B, Clancy U, Valdés Hernandez MC, Wiseman SJ, Garcia DJ, Sakka E, Backes WH, Ingrisch M, Chappell F, Doubal F, Buckley C, Parkes LM, Parker GJM, Marshall I, Wardlaw JM, Thrippleton MJ. Sources of systematic error in DCE-MRI estimation of low-level blood-brain barrier leakage. Magn Reson Med 2021; 86:1888-1903. [PMID: 34002894 DOI: 10.1002/mrm.28833] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 03/19/2021] [Accepted: 04/16/2021] [Indexed: 12/29/2022]
Abstract
PURPOSE Dynamic contrast-enhanced (DCE) -MRI with Patlak model analysis is increasingly used to quantify low-level blood-brain barrier (BBB) leakage in studies of pathophysiology. We aimed to investigate systematic errors due to physiological, experimental, and modeling factors influencing quantification of the permeability-surface area product PS and blood plasma volume vp , and to propose modifications to reduce the errors so that subtle differences in BBB permeability can be accurately measured. METHODS Simulations were performed to predict the effects of potential sources of systematic error on conventional PS and vp quantification: restricted BBB water exchange, reduced cerebral blood flow, arterial input function (AIF) delay and B 1 + error. The impact of targeted modifications to the acquisition and processing were evaluated, including: assumption of fast versus no BBB water exchange, bolus versus slow injection of contrast agent, exclusion of early data from model fitting and B 1 + correction. The optimal protocol was applied in a cohort of recent mild ischaemic stroke patients. RESULTS Simulation results demonstrated substantial systematic errors due to the factors investigated (absolute PS error ≤ 4.48 × 10-4 min-1 ). However, these were reduced (≤0.56 × 10-4 min-1 ) by applying modifications to the acquisition and processing pipeline. Processing modifications also had substantial effects on in-vivo normal-appearing white matter PS estimation (absolute change ≤ 0.45 × 10-4 min-1 ). CONCLUSION Measuring subtle BBB leakage with DCE-MRI presents unique challenges and is affected by several confounds that should be considered when acquiring or interpreting such data. The evaluated modifications should improve accuracy in studies of neurodegenerative diseases involving subtle BBB breakdown.
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Affiliation(s)
- Cameron Manning
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Michael Stringer
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Ben Dickie
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Una Clancy
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Maria C Valdés Hernandez
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Stewart J Wiseman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Daniela Jaime Garcia
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Eleni Sakka
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Walter H Backes
- Department of Radiology & Nuclear Medicine, School for Mental Health & Neuroscience and School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Michael Ingrisch
- Department of Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Francesca Chappell
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Fergus Doubal
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | | | - Laura M Parkes
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Geoff J M Parker
- Centre for Medical Image Computing and Department of Neuroinflammation, UCL, London, United Kingdom
| | - Ian Marshall
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom.,Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom.,Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom.,Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
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23
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Keil VC, Gielen GH, Pintea B, Baumgarten P, Datsi A, Hittatiya K, Simon M, Hattingen E. DCE-MRI in Glioma, Infiltration Zone and Healthy Brain to Assess Angiogenesis: A Biopsy Study. Clin Neuroradiol 2021; 31:1049-1058. [PMID: 33900414 PMCID: PMC8648693 DOI: 10.1007/s00062-021-01015-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 03/22/2021] [Indexed: 12/29/2022]
Abstract
Purpose To explore the focal predictability of vascular growth factor expression and neovascularization using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in glioma. Methods 120 brain biopsies were taken in vital tumor, infiltration zone and normal brain tissue of 30 glioma patients: 17 IDH(isocitrate dehydrogenase)-wildtype glioblastoma (GBM), 1 IDH-wildtype astrocytoma °III (together prognostic group 1), 3 IDH-mutated GBM (group 2), 3 anaplastic astrocytomas IDH-mutated (group 3), 4 anaplastic oligodendrogliomas and 2 low-grade oligodendrogliomas (together prognostic group 4). A mixed linear model evaluated the predictabilities of microvessel density (MVD), vascular area ratio (VAR), mean vessel size (MVS), vascular endothelial growth factor and receptors (VEGF-A, VEGFR‑2) and vascular endothelial-protein tyrosine phosphatase (VE-PTP) expression from Tofts model kinetic and model-free curve parameters. Results All kinetic parameters were associated with VEGF‑A (all p < 0.001) expression. Ktrans, kep and ve were associated with VAR (p = 0.006, 0.004 and 0.01, respectively) and MVS (p = 0.0001, 0.02 and 0.003, respectively) but not MVD (p = 0.84, 0.74 and 0.73, respectively). Prognostic groups differed in Ktrans (p = 0.007) and ve (p = 0.004) values measured in the infiltration zone. Despite significant differences of VAR, MVS, VEGF‑A, VEGFR‑2, and VE-PTP in vital tumor tissue and the infiltration zone (p = 0.0001 for all), there was no significant difference between kinetic parameters measured in these zones. Conclusion The DCE-MRI kinetic parameters show correlations with microvascular parameters in vital tissue and also reveal blood-brain barrier abnormalities in the infiltration zones adequate to differentiate glioma prognostic groups. Supplementary Information The online version of this article (10.1007/s00062-021-01015-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Vera C Keil
- Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany. .,Department of Radiology, Amsterdam University Medical Center, location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
| | - Gerrit H Gielen
- Department of Neuropathology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Bogdan Pintea
- Department of Neurosurgery, University Hospital BG Bergmannsheil, Bürkle-de-la-Camp-Platz 1, 44789, Bochum, Germany.,Department of Neurosurgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Peter Baumgarten
- Department of Neurosurgery, University Hospital Frankfurt, Schleusenweg 2-16, 60528, Frankfurt am Main, Germany.,Institute of Neuropathology (Edinger Institute), University Hospital Frankfurt, Schleusenweg 2-16, 60528, Frankfurt am Main, Germany
| | - Angeliki Datsi
- ITZ, Heinrich-Heine-University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Kanishka Hittatiya
- Center for Pathology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Matthias Simon
- Department of Neurosurgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Department of Neurosurgery, Ev. Krankenhaus Bielefeld, Haus Gilead I, Burgsteig 13, 33617, Bielefeld, Germany
| | - Elke Hattingen
- Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.,Department of Neuroradiology, University Hospital Frankfurt, Schleusenweg 2-16, 60528, Frankfurt am Main, Germany
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24
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The neurology of lupus. J Neurol Sci 2021; 424:117419. [PMID: 33832774 DOI: 10.1016/j.jns.2021.117419] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 10/30/2020] [Accepted: 03/24/2021] [Indexed: 12/19/2022]
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25
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Bernal J, Valdés-Hernández MDC, Escudero J, Heye AK, Sakka E, Armitage PA, Makin S, Touyz RM, Wardlaw JM, Thrippleton MJ. A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage. Neuroimage 2021; 230:117786. [PMID: 33497771 PMCID: PMC8065875 DOI: 10.1016/j.neuroimage.2021.117786] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/17/2020] [Accepted: 01/19/2021] [Indexed: 01/24/2023] Open
Abstract
Dynamic contrast-enhanced MRI (DCE-MRI) is increasingly used to quantify and map the spatial distribution of blood-brain barrier (BBB) leakage in neurodegenerative disease, including cerebral small vessel disease and dementia. However, the subtle nature of leakage and resulting small signal changes make quantification challenging. While simplified one-dimensional simulations have probed the impact of noise, scanner drift, and model assumptions, the impact of spatio-temporal effects such as gross motion, k-space sampling and motion artefacts on parametric leakage maps has been overlooked. Moreover, evidence on which to base the design of imaging protocols is lacking due to practical difficulties and the lack of a reference method. To address these problems, we present an open-source computational model of the DCE-MRI acquisition process for generating four dimensional Digital Reference Objects (DROs), using a high-resolution brain atlas and incorporating realistic patient motion, extra-cerebral signals, noise and k-space sampling. Simulations using the DROs demonstrated a dominant influence of spatio-temporal effects on both the visual appearance of parameter maps and on measured tissue leakage rates. The computational model permits greater understanding of the sensitivity and limitations of subtle BBB leakage measurement and provides a non-invasive means of testing and optimising imaging protocols for future studies.
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Affiliation(s)
- Jose Bernal
- Centre for Clinical Brain Sciences, Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, UK
| | - Maria D C Valdés-Hernández
- Centre for Clinical Brain Sciences, Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, UK
| | - Javier Escudero
- School of Engineering, University of Edinburgh, Edinburgh EH9 3FB, UK
| | - Anna K Heye
- Centre for Clinical Brain Sciences, Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, UK
| | - Eleni Sakka
- Centre for Clinical Brain Sciences, Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, UK
| | - Paul A Armitage
- Academic Unit of Radiology, University of Sheffield, Sheffield S10 2RX, UK
| | - Stephen Makin
- University of Aberdeen, Centre for Rural Health, Inverness, UK
| | - Rhian M Touyz
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, UK
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, UK.
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26
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Veksler R, Vazana U, Serlin Y, Prager O, Ofer J, Shemen N, Fisher AM, Minaeva O, Hua N, Saar-Ashkenazy R, Benou I, Riklin-Raviv T, Parker E, Mumby G, Kamintsky L, Beyea S, Bowen CV, Shelef I, O'Keeffe E, Campbell M, Kaufer D, Goldstein LE, Friedman A. Slow blood-to-brain transport underlies enduring barrier dysfunction in American football players. Brain 2021; 143:1826-1842. [PMID: 32464655 PMCID: PMC7297017 DOI: 10.1093/brain/awaa140] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 02/27/2020] [Accepted: 03/11/2020] [Indexed: 12/14/2022] Open
Abstract
Repetitive mild traumatic brain injury in American football players has garnered increasing public attention following reports of chronic traumatic encephalopathy, a progressive tauopathy. While the mechanisms underlying repetitive mild traumatic brain injury-induced neurodegeneration are unknown and antemortem diagnostic tests are not available, neuropathology studies suggest a pathogenic role for microvascular injury, specifically blood–brain barrier dysfunction. Thus, our main objective was to demonstrate the effectiveness of a modified dynamic contrast-enhanced MRI approach we have developed to detect impairments in brain microvascular function. To this end, we scanned 42 adult male amateur American football players and a control group comprising 27 athletes practicing a non-contact sport and 26 non-athletes. MRI scans were also performed in 51 patients with brain pathologies involving the blood–brain barrier, namely malignant brain tumours, ischaemic stroke and haemorrhagic traumatic contusion. Based on data from prolonged scans, we generated maps that visualized the permeability value for each brain voxel. Our permeability maps revealed an increase in slow blood-to-brain transport in a subset of amateur American football players, but not in sex- and age-matched controls. The increase in permeability was region specific (white matter, midbrain peduncles, red nucleus, temporal cortex) and correlated with changes in white matter, which were confirmed by diffusion tensor imaging. Additionally, increased permeability persisted for months, as seen in players who were scanned both on- and off-season. Examination of patients with brain pathologies revealed that slow tracer accumulation characterizes areas surrounding the core of injury, which frequently shows fast blood-to-brain transport. Next, we verified our method in two rodent models: rats and mice subjected to repeated mild closed-head impact injury, and rats with vascular injury inflicted by photothrombosis. In both models, slow blood-to-brain transport was observed, which correlated with neuropathological changes. Lastly, computational simulations and direct imaging of the transport of Evans blue-albumin complex in brains of rats subjected to recurrent seizures or focal cerebrovascular injury suggest that increased cellular transport underlies the observed slow blood-to-brain transport. Taken together, our findings suggest dynamic contrast-enhanced-MRI can be used to diagnose specific microvascular pathology after traumatic brain injury and other brain pathologies.
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Affiliation(s)
- Ronel Veksler
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Udi Vazana
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Yonatan Serlin
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,Neurology Residency Training Program, McGill University, Montreal, QC, Canada
| | - Ofer Prager
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Jonathan Ofer
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Nofar Shemen
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Andrew M Fisher
- Molecular Aging and Development Laboratory, Boston University School of Medicine, College of Engineering, Alzheimer's Disease and CTE Center, and Photonics Center, Boston University, Boston, MA, USA
| | - Olga Minaeva
- Molecular Aging and Development Laboratory, Boston University School of Medicine, College of Engineering, Alzheimer's Disease and CTE Center, and Photonics Center, Boston University, Boston, MA, USA
| | - Ning Hua
- Molecular Aging and Development Laboratory, Boston University School of Medicine, College of Engineering, Alzheimer's Disease and CTE Center, and Photonics Center, Boston University, Boston, MA, USA
| | - Rotem Saar-Ashkenazy
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,Department of Psychology and the School of Social-work, Ashkelon Academic College, Israel
| | - Itay Benou
- Department of Electrical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Tammy Riklin-Raviv
- Department of Electrical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Ellen Parker
- Department of Medical Neuroscience, Dalhousie University, Faculty of Medicine, Halifax, NS, Canada
| | - Griffin Mumby
- Department of Medical Neuroscience, Dalhousie University, Faculty of Medicine, Halifax, NS, Canada
| | - Lyna Kamintsky
- Department of Medical Neuroscience, Dalhousie University, Faculty of Medicine, Halifax, NS, Canada
| | - Steven Beyea
- Biomedical Translational Imaging Centre (BIOTIC), IWK Health Centre and QEII Health Sciences Center, Dalhousie University, Halifax, NS, Canada
| | - Chris V Bowen
- Biomedical Translational Imaging Centre (BIOTIC), IWK Health Centre and QEII Health Sciences Center, Dalhousie University, Halifax, NS, Canada
| | - Ilan Shelef
- Department of Medical Imaging, Soroka University Medical Center, Beer-Sheva, Israel
| | - Eoin O'Keeffe
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Matthew Campbell
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Daniela Kaufer
- Department of Integrative Biology and the Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA
| | - Lee E Goldstein
- Molecular Aging and Development Laboratory, Boston University School of Medicine, College of Engineering, Alzheimer's Disease and CTE Center, and Photonics Center, Boston University, Boston, MA, USA
| | - Alon Friedman
- Departments of Physiology and Cell Biology, Brain and Cognitive Sciences, The Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.,Department of Medical Neuroscience, Dalhousie University, Faculty of Medicine, Halifax, NS, Canada
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27
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Fang K, Wang Z, Li Z, Wang B, Han G, Cheng Z, Chen Z, Lan C, Zhang Y, Zhao P, Jin X, Liu Y, Bai R. Convolutional neural network for accelerating the computation of the extended Tofts model in dynamic contrast-enhanced magnetic resonance imaging. J Magn Reson Imaging 2021; 53:1898-1910. [PMID: 33382513 DOI: 10.1002/jmri.27495] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 12/16/2020] [Accepted: 12/16/2020] [Indexed: 01/09/2023] Open
Abstract
Quantitative physiological parameters can be obtained from nonlinear pharmacokinetic models, such as the extended Tofts (eTofts) model, applied to dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). However, the computation of such nonlinear models is time consuming. The aim of this study was to develop a convolutional neural network (CNN) for accelerating the computation of fitting eTofts model without sacrificing agreement with conventional nonlinear-least-square (NLLS) fitting. This was a retrospective study, which included 13 patients with brain glioma for training (75%) and validation (25%), and 11 patients (three glioma, four brain metastases, and four lymphoma) for testing. CAIPIRINHA-Dixon-TWIST DCE-MRI and double flip angle T1 map acquired at 3 T were used. A CNN with both local pathway and global pathway modules was designed to estimate the eTofts model parameters, the volume transfer constant (Ktrans ), blood volume fraction (vp ), and volume fraction of extracellular extravascular space (ve ), from DCE-MRI data of tumor and normal-appearing voxels. The CNN was trained on mixed dataset consisting of synthetic and patient data. The CNN result and computation speed were compared with NLLS fitting. The robustness to noise variations and generalization to brain metastases and lymphoma data were also evaluated. Statistical tests used were Student's t test on mean absolute error, concordance correlation coefficient (CCC), and normalized root mean squared error. Including global pathway modules in the CNN and training the network with mixed data significantly (p < 0.05) improved the CNN performance. Compared with NLLS fitting, CNN yields an average CCC greater than 0.986 for Ktrans , greater than 0.965 for vp , and greater than 0.948 for ve . The CNN accelerated computation speed approximately 2000 times compared to NLLS, showed robustness to noise (signal-to-noise ratio >34.42 dB), and had no significant (p > 0.21) difference applied to brain metastases and lymphoma data. In conclusion, the proposed CNN to estimate eTofts parameters showed comparable result as NLLS fitting while significantly reducing the computation time. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 1.
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Affiliation(s)
- Ke Fang
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
| | - Zejun Wang
- Department of Physical Medicine and Rehabilitation of the Affiliated Sir Run Run Shaw Hospital and Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Zhaoqing Li
- Department of Physical Medicine and Rehabilitation of the Affiliated Sir Run Run Shaw Hospital and Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Bao Wang
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, China
| | - Guangxu Han
- Department of Physical Medicine and Rehabilitation of the Affiliated Sir Run Run Shaw Hospital and Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Zhaowei Cheng
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
| | - Zhihong Chen
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
| | - Chuanjin Lan
- School of Medicine, Shandong University, Jinan, China
| | - Yi Zhang
- Shandong Medical Imaging Research Institute, Shandong University, Jinan, China
| | - Peng Zhao
- Department of Neurosurgery, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Xinyu Jin
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
| | - Yingchao Liu
- Department of Neurosurgery, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Ruiliang Bai
- Department of Physical Medicine and Rehabilitation of the Affiliated Sir Run Run Shaw Hospital and Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China.,Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
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28
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Kontopodis E, Marias K, Manikis GC, Nikiforaki K, Venianaki M, Maris TG, Mastorodemos V, Papadakis GZ, Papadaki E. Extended perfusion protocol for MS lesion quantification. Open Med (Wars) 2020; 15:520-530. [PMID: 33336007 PMCID: PMC7711864 DOI: 10.1515/med-2020-0100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 03/09/2020] [Accepted: 03/13/2020] [Indexed: 11/15/2022] Open
Abstract
This study aims to examine a time-extended dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) protocol and report a comparative study with three different pharmacokinetic (PK) models, for accurate determination of subtle blood-brain barrier (BBB) disruption in patients with multiple sclerosis (MS). This time-extended DCE-MRI perfusion protocol, called Snaps, was applied on 24 active demyelinating lesions of 12 MS patients. Statistical analysis was performed for both protocols through three different PK models. The Snaps protocol achieved triple the window time of perfusion observation by extending the magnetic resonance acquisition time by less than 2 min on average for all patients. In addition, the statistical analysis in terms of adj-R 2 goodness of fit demonstrated that the Snaps protocol outperformed the conventional DCE-MRI protocol by detecting 49% more pixels on average. The exclusive pixels identified from the Snaps protocol lie in the low k trans range, potentially reflecting areas with subtle BBB disruption. Finally, the extended Tofts model was found to have the highest fitting accuracy for both analyzed protocols. The previously proposed time-extended DCE protocol, called Snaps, provides additional temporal perfusion information at the expense of a minimal extension of the conventional DCE acquisition time.
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Affiliation(s)
- Eleftherios Kontopodis
- Foundation for Research and Technology - Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, Greece.,Department of Radiology, Medical School, University of Crete, P. O. Box 2208, Heraklion, Crete, Greece
| | - Kostas Marias
- Technological Educational Institute of Crete, Department of Informatics Engineering, Heraklion , Crete, Estavromenos, TK 71410, Greece
| | - Georgios C Manikis
- Foundation for Research and Technology - Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, Greece.,Department of Radiology, Medical School, University of Crete, P. O. Box 2208, Heraklion, Crete, Greece
| | - Katerina Nikiforaki
- Foundation for Research and Technology - Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, Greece.,Department of Radiology, Medical School, University of Crete, P. O. Box 2208, Heraklion, Crete, Greece
| | - Maria Venianaki
- Science and Technology Park of Crete, Gnosis Data Analysis, N. Plastira 100, Vassilika Vouton, GR-700 13, Heraklion, Greece
| | - Thomas G Maris
- Foundation for Research and Technology - Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, Greece.,Department of Radiology, Medical School, University of Crete, P. O. Box 2208, Heraklion, Crete, Greece
| | - Vasileios Mastorodemos
- Department of Neurology, Medical School, University of Crete, P. O. Box 2208, Heraklion, Crete, Greece
| | - Georgios Z Papadakis
- Foundation for Research and Technology - Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, Greece.,Department of Radiology, Medical School, University of Crete, P. O. Box 2208, Heraklion, Crete, Greece
| | - Efrosini Papadaki
- Foundation for Research and Technology - Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, Greece.,Department of Radiology, Medical School, University of Crete, P. O. Box 2208, Heraklion, Crete, Greece
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29
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van den Kerkhof M, Voorter PHM, Canjels LPW, de Jong JJA, van Oostenbrugge RJ, Kroon AA, Jansen JFA, Backes WH. Time-efficient measurement of subtle blood-brain barrier leakage using a T 1 mapping MRI protocol at 7 T. Magn Reson Med 2020; 85:2761-2770. [PMID: 33349996 PMCID: PMC7898690 DOI: 10.1002/mrm.28629] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 11/10/2020] [Accepted: 11/10/2020] [Indexed: 12/22/2022]
Abstract
Purpose Blood–brain barrier (BBB) disruption is commonly measured with DCE‐MRI using continuous dynamic scanning. For precise measurement of subtle BBB leakage, a long acquisition time (>20 minutes) is required. As extravasation of the contrast agent is slow, discrete sampling at strategic time points might be beneficial, and gains scan time for additional sequences. Here, we aimed to explore the feasibility of a sparsely sampled MRI protocol at 7 T. Methods The scan protocol consisted of a precontrast quantitative T1 measurement, using an MP2RAGE sequence, and after contrast agent injection, a fast‐sampling dynamic gradient‐echo perfusion scan and two postcontrast quantitative T1 measurements were applied. Simulations were conducted to determine the optimal postcontrast sampling time points for measuring subtle BBB leakage. The graphical Patlak approach was used to quantify the leakage rate (Ki) and blood plasma volume (vp) of normal‐appearing white and gray matter. Results The simulations showed that two postcontrast T1 maps are sufficient to detect subtle leakage, and most sensitive when the last T1 map is acquired late, approximately 30 minutes, after contrast agent administration. The in vivo measurements found Ki and vp values in agreement with other studies, and significantly higher values in gray matter compared with white matter (both p = .04). Conclusion The sparsely sampled protocol was demonstrated to be sensitive to quantify subtle BBB leakage, despite using only three T1 maps. Due to the time‐efficiency of this method, it will become more feasible to incorporate BBB leakage measurements in clinical research MRI protocols.
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Affiliation(s)
- Marieke van den Kerkhof
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.,School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Paulien H M Voorter
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.,School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Lisanne P W Canjels
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.,School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Joost J A de Jong
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.,School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Robert J van Oostenbrugge
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Department of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.,Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands
| | - Abraham A Kroon
- Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands.,Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Jacobus F A Jansen
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.,School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Walter H Backes
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.,School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands.,Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, the Netherlands
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30
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Verheggen ICM, de Jong JJA, van Boxtel MPJ, Postma AA, Jansen JFA, Verhey FRJ, Backes WH. Imaging the role of blood-brain barrier disruption in normal cognitive ageing. GeroScience 2020; 42:1751-1764. [PMID: 33025410 PMCID: PMC7732959 DOI: 10.1007/s11357-020-00282-1] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 09/28/2020] [Indexed: 12/11/2022] Open
Abstract
To investigate whether blood-brain barrier (BBB) disruption is a potential mechanism of usual age-related cognitive decline, we conducted dynamic contrast-enhanced (DCE) MRI to measure BBB leakage in a healthy sample, and investigated the association with longitudinal cognitive decline. In a sample of neurologically and cognitively healthy, older individuals, BBB leakage rate in the white and grey matter and hippocampus was measured using DCE MRI with pharmacokinetic modelling. Regression analysis was performed to investigate whether the leakage rate was associated with decline in cognitive performance (memory encoding, memory retrieval, executive functioning and processing speed) over 12 years. White and grey matter BBB leakages were significantly associated with decline in memory retrieval. No significant relations were found between hippocampal BBB leakage and cognitive performance. BBB disruption already being associated with usual cognitive ageing, supports that this neurovascular alteration is a possible explanation for the cognitive decline inherent to the ageing process. More insight into BBB leakage during the normal ageing process could improve estimation and interpretation of leakage rate in pathological conditions. The current results might also stimulate the search for strategies to maintain BBB integrity and help increase the proportion people experiencing successful ageing. Netherlands Trial Register number: NL6358, date of registration: 2017-03-24.
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Affiliation(s)
- Inge C M Verheggen
- Department of Psychiatry and Neuropsychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands.
- Alzheimer Center Limburg, Maastricht, The Netherlands.
| | - Joost J A de Jong
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Martin P J van Boxtel
- Department of Psychiatry and Neuropsychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Alzheimer Center Limburg, Maastricht, The Netherlands
| | - Alida A Postma
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jacobus F A Jansen
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Alzheimer Center Limburg, Maastricht, The Netherlands
| | - Walter H Backes
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- School for Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
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31
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Tien J, Li X, Linville RM, Feldman EJ. Comparison of blind deconvolution- and Patlak analysis-based methods for determining vascular permeability. Microvasc Res 2020; 133:104102. [PMID: 33166578 DOI: 10.1016/j.mvr.2020.104102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 09/01/2020] [Accepted: 11/04/2020] [Indexed: 11/28/2022]
Abstract
This study describes a computational algorithm to determine vascular permeability constants from time-lapse imaging data without concurrent knowledge of the arterial input function. The algorithm is based on "blind" deconvolution of imaging data, which were generated with analytical and finite-element models of bidirectional solute transport between a capillary and its surrounding tissue. Compared to the commonly used Patlak analysis, the blind algorithm is substantially more accurate in the presence of solute delay and dispersion. We also compared the performance of the blind algorithm with that of a simpler one that assumed unidirectional transport from capillary to tissue [as described in Truslow et al., Microvasc. Res. 90, 117-120 (2013)]. The algorithm based on bidirectional transport was more accurate than the one based on unidirectional transport for more permeable vessels and smaller extravascular distribution volumes, and less accurate for less permeable vessels and larger extravascular distribution volumes. Our results indicate that blind deconvolution is superior to Patlak analysis for permeability mapping under clinically relevant conditions, and can thus potentially improve the detection of tissue regions with a compromised vascular barrier.
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Affiliation(s)
- Joe Tien
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA; Division of Materials Science and Engineering, Boston University, 15 St. Mary's Street, Brookline, MA 02446, USA.
| | - Xuanyue Li
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA
| | - Raleigh M Linville
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA
| | - Evan J Feldman
- Department of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA 02215, USA
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32
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Verheggen ICM, de Jong JJA, van Boxtel MPJ, Postma AA, Verhey FRJ, Jansen JFA, Backes WH. Permeability of the windows of the brain: feasibility of dynamic contrast-enhanced MRI of the circumventricular organs. Fluids Barriers CNS 2020; 17:66. [PMID: 33115484 PMCID: PMC7594295 DOI: 10.1186/s12987-020-00228-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 10/17/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Circumventricular organs (CVOs) are small structures without a blood-brain barrier surrounding the brain ventricles that serve homeostasic functions and facilitate communication between the blood, cerebrospinal fluid and brain. Secretory CVOs release peptides and sensory CVOs regulate signal transmission. However, pathogens may enter the brain through the CVOs and trigger neuroinflammation and neurodegeneration. We investigated the feasibility of dynamic contrast-enhanced (DCE) MRI to assess the CVO permeability characteristics in vivo, and expected significant contrast uptake in these regions, due to blood-brain barrier absence. METHODS Twenty healthy, middle-aged to older males underwent brain DCE MRI. Pharmacokinetic modeling was applied to contrast concentration time-courses of CVOs, and in reference to white and gray matter. We investigated whether a significant and positive transfer from blood to brain could be measured in the CVOs, and whether this differed between secretory and sensory CVOs or from normal-appearing brain matter. RESULTS In both the secretory and sensory CVOs, the transfer constants were significantly positive, and all secretory CVOs had significantly higher transfer than each sensory CVO. The transfer constants in both the secretory and sensory CVOs were higher than in the white and gray matter. CONCLUSIONS Current measurements confirm the often-held assumption of highly permeable CVOs, of which the secretory types have the strongest blood-to-brain transfer. The current study suggests that DCE MRI could be a promising technique to further assess the function of the CVOs and how pathogens can potentially enter the brain via these structures. TRIAL REGISTRATION Netherlands Trial Register number: NL6358, date of registration: 2017-03-24.
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Affiliation(s)
- Inge C M Verheggen
- Department of Psychiatry and Neuropsychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands.
- Alzheimer Center Limburg, Maastricht, The Netherlands.
| | - Joost J A de Jong
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Martin P J van Boxtel
- Department of Psychiatry and Neuropsychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Alzheimer Center Limburg, Maastricht, The Netherlands
| | - Alida A Postma
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Alzheimer Center Limburg, Maastricht, The Netherlands
| | - Jacobus F A Jansen
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Walter H Backes
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- School for Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
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Neurological Complications Associated with the Blood-Brain Barrier Damage Induced by the Inflammatory Response During SARS-CoV-2 Infection. Mol Neurobiol 2020; 58:520-535. [PMID: 32978729 PMCID: PMC7518400 DOI: 10.1007/s12035-020-02134-7] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 09/16/2020] [Indexed: 01/08/2023]
Abstract
The main discussion above of the novel pathogenic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has focused substantially on the immediate risks and impact on the respiratory system; however, the effects induced to the central nervous system are currently unknown. Some authors have suggested that SARS-CoV-2 infection can dramatically affect brain function and exacerbate neurodegenerative diseases in patients, but the mechanisms have not been entirely described. In this review, we gather information from past and actual studies on coronaviruses that informed neurological dysfunction and brain damage. Then, we analyzed and described the possible mechanisms causative of brain injury after SARS-CoV-2 infection. We proposed that potential routes of SARS-CoV-2 neuro-invasion are determinant factors in the process. We considered that the hematogenous route of infection can directly affect the brain microvascular endothelium cells that integrate the blood-brain barrier and be fundamental in initiation of brain damage. Additionally, activation of the inflammatory response against the infection represents a critical step on injury induction of the brain tissue. Consequently, the virus’ ability to infect brain cells and induce the inflammatory response can promote or increase the risk to acquire central nervous system diseases. Here, we contribute to the understanding of the neurological conditions found in patients with SARS-CoV-2 infection and its association with the blood-brain barrier integrity.
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Abstract
The blood-brain barrier (BBB) is the interface between the blood and brain tissue, which regulates the maintenance of homeostasis within the brain. Impaired BBB integrity is increasingly associated with various neurological diseases. To gain a better understanding of the underlying processes involved in BBB breakdown, magnetic resonance imaging (MRI) techniques are highly suitable for noninvasive BBB assessment. Commonly used MRI techniques to assess BBB integrity are dynamic contrast-enhanced and dynamic susceptibility contrast MRI, both relying on leakage of gadolinium-based contrast agents. A number of conceptually different methods exist that target other aspects of the BBB. These alternative techniques make use of endogenous markers, such as water and glucose, as contrast media. A comprehensive overview of currently available MRI techniques to assess the BBB condition is provided from a scientific point of view, including potential applications in disease. Improvements that are required to make these techniques clinically more easily applicable will also be discussed.
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Yoen H, Yoo RE, Choi SH, Kim E, Oh BM, Yang D, Hwang I, Kang KM, Yun TJ, Kim JH, Sohn CH. Blood-Brain Barrier Disruption in Mild Traumatic Brain Injury Patients with Post-Concussion Syndrome: Evaluation with Region-Based Quantification of Dynamic Contrast-Enhanced MR Imaging Parameters Using Automatic Whole-Brain Segmentation. Korean J Radiol 2020; 22:118-130. [PMID: 32783413 PMCID: PMC7772380 DOI: 10.3348/kjr.2020.0016] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 05/05/2020] [Accepted: 05/24/2020] [Indexed: 12/29/2022] Open
Abstract
Objective This study aimed to investigate the blood-brain barrier (BBB) disruption in mild traumatic brain injury (mTBI) patients with post-concussion syndrome (PCS) using dynamic contrast-enhanced (DCE) magnetic resonance (MR) imaging and automatic whole brain segmentation. Materials and Methods Forty-two consecutive mTBI patients with PCS who had undergone post-traumatic MR imaging, including DCE MR imaging, between October 2016 and April 2018, and 29 controls with DCE MR imaging were included in this retrospective study. After performing three-dimensional T1-based brain segmentation with FreeSurfer software (Laboratory for Computational Neuroimaging), the mean Ktrans and vp from DCE MR imaging (derived using the Patlak model and extended Tofts and Kermode model) were analyzed in the bilateral cerebral/cerebellar cortex, bilateral cerebral/cerebellar white matter (WM), and brainstem. Ktrans values of the mTBI patients and controls were calculated using both models to identify the model that better reflected the increased permeability owing to mTBI (tendency toward higher Ktrans values in mTBI patients than in controls). The Mann-Whitney U test and Spearman rank correlation test were performed to compare the mean Ktrans and vp between the two groups and correlate Ktrans and vp with neuropsychological tests for mTBI patients. Results Increased permeability owing to mTBI was observed in the Patlak model but not in the extended Tofts and Kermode model. In the Patlak model, the mean Ktrans in the bilateral cerebral cortex was significantly higher in mTBI patients than in controls (p = 0.042). The mean vp values in the bilateral cerebellar WM and brainstem were significantly lower in mTBI patients than in controls (p = 0.009 and p = 0.011, respectively). The mean Ktrans of the bilateral cerebral cortex was significantly higher in patients with atypical performance in the auditory continuous performance test (commission errors) than in average or good performers (p = 0.041). Conclusion BBB disruption, as reflected by the increased Ktrans and decreased vp values from the Patlak model, was observed throughout the bilateral cerebral cortex, bilateral cerebellar WM, and brainstem in mTBI patients with PCS.
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Affiliation(s)
- Heera Yoen
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Roh Eul Yoo
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
| | - Seung Hong Choi
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.,Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul National University, Seoul, Korea.,School of Chemical and Biological Engineering, Seoul National University, Seoul, Korea
| | - Eunkyung Kim
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Byung Mo Oh
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.,Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul, Korea.,National Traffic Injury Rehabilitation Hospital, Yangpyeong, Korea.,Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Dongjin Yang
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Inpyeong Hwang
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Koung Mi Kang
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Jin Yun
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Ji Hoon Kim
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Chul Ho Sohn
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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Verheggen ICM, de Jong JJA, van Boxtel MPJ, Gronenschild EHBM, Palm WM, Postma AA, Jansen JFA, Verhey FRJ, Backes WH. Increase in blood-brain barrier leakage in healthy, older adults. GeroScience 2020; 42:1183-1193. [PMID: 32601792 PMCID: PMC7394987 DOI: 10.1007/s11357-020-00211-2] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 06/02/2020] [Indexed: 12/22/2022] Open
Abstract
Blood-brain barrier (BBB) breakdown can disrupt nutrient supply and waste removal, which affects neuronal functioning. Currently, dynamic contrast-enhanced (DCE) MRI is the preferred in-vivo method to quantify BBB leakage. Dedicated DCE MRI studies in normal aging individuals are lacking, which could hamper value estimation and interpretation of leakage rate in pathological conditions. Therefore, we applied DCE MRI to investigate the association between BBB disruption and age in a healthy sample. Fifty-seven cognitively and neurologically healthy, middle-aged to older participants (mean age: 66 years, range: 47-91 years) underwent MRI, including DCE MRI with intravenous injection of a gadolinium-based contrast agent. Pharmacokinetic modeling was applied to contrast concentration time-curves to estimate BBB leakage rate in each voxel. Subsequently, leakage rate was calculated in the white and gray matter, and primary (basic sensory and motor functions), secondary (association areas), and tertiary (higher-order cognition) brain regions. A difference in vulnerability to deterioration was expected between these regions, with especially tertiary regions being affected by age. Higher BBB leakage rate was significantly associated with older age in the white and gray matter, and also in tertiary, but not in primary or secondary brain regions. Even in healthy individuals, BBB disruption was stronger in older persons, which suggests BBB disruption is a normal physiologically aging phenomenon. Age-related increase in BBB disruption occurred especially in brain regions most vulnerable to age-related deterioration, which may indicate that BBB disruption is an underlying mechanism of normal age-related decline.Netherlands Trial Register number: NL6358, date of registration: 2017-03-24.
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Affiliation(s)
- Inge C M Verheggen
- Department of Psychiatry and Neuropsychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
- Alzheimer Center Limburg, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
| | - Joost J A de Jong
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Martin P J van Boxtel
- Department of Psychiatry and Neuropsychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- Alzheimer Center Limburg, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
| | - Ed H B M Gronenschild
- Department of Psychiatry and Neuropsychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- Alzheimer Center Limburg, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
| | - Walter M Palm
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Alida A Postma
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Jacobus F A Jansen
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- Alzheimer Center Limburg, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
| | - Walter H Backes
- School for Mental Health and Neuroscience (MHeNs), Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
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Swinburne N, LoCastro E, Paudyal R, Oh JH, Taunk NK, Shah A, Beal K, Vachha B, Young RJ, Holodny AI, Shukla-Dave A, Hatzoglou V. Computational Modeling of Interstitial Fluid Pressure and Velocity in Non-small Cell Lung Cancer Brain Metastases Treated With Stereotactic Radiosurgery. Front Neurol 2020; 11:402. [PMID: 32547470 PMCID: PMC7271672 DOI: 10.3389/fneur.2020.00402] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 04/17/2020] [Indexed: 12/11/2022] Open
Abstract
Background: Early imaging-based treatment response assessment of brain metastases following stereotactic radiosurgery (SRS) remains challenging. The aim of this study is to determine whether early (within 12 weeks) intratumoral changes in interstitial fluid pressure (IFP) and velocity (IFV) estimated from computational fluid modeling (CFM) using dynamic contrast-enhanced (DCE) MRI can predict long-term outcomes of lung cancer brain metastases (LCBMs) treated with SRS. Methods: Pre- and post-treatment T1-weighted DCE-MRI data were obtained in 41 patients treated with SRS for intact LCBMs. The imaging response was assessed using RANO-BM criteria. For each lesion, extravasation of contrast agent measured from Extended Tofts pharmacokinetic Model (volume transfer constant, Ktrans) was incorporated into a computational fluid model to estimate tumor IFP and IFV. Estimates of mean IFP and IFV and heterogeneity (skewness and kurtosis) were calculated for each lesion from pre- and post-SRS imaging. The Wilcoxon rank-sum test was utilized to assess for significant differences in IFP, IFV, and IFP/IFV change (Δ) between response groups. Results: Fifty-three lesions from 41 patients were included. Median follow-up time after SRS was 11 months. The objective response (OR) rate (partial or complete response) was 79%, with 21% demonstrating stable disease (SD) or progressive disease (PD). There were significant response group differences for multiple posttreatment and Δ CFM parameters: post-SRS IFP skewness (mean −0.405 vs. −0.691, p = 0.022), IFP kurtosis (mean 2.88 vs. 3.51, p = 0.024), and IFV mean (5.75e-09 vs. 4.19e-09 m/s, p = 0.027); and Δ IFP kurtosis (mean −2.26 vs. −0.0156, p = 0.017) and IFV mean (1.91e-09 vs. 2.38e-10 m/s, p = 0.013). Posttreatment and Δ thresholds predicted non-OR with high sensitivity (sens): post-SRS IFP skewness (−0.432, sens 84%), kurtosis (2.89, sens 84%), and IFV mean (4.93e-09 m/s, sens 79%); and Δ IFP kurtosis (−0.469, sens 74%) and IFV mean (9.90e-10 m/s, sens 74%). Conclusions: Objective response was associated with lower post-treatment tumor heterogeneity, as represented by reductions in IFP skewness and kurtosis. These results suggest that early post-treatment assessment of IFP and IFV can be used to predict long-term response of lung cancer brain metastases to SRS, allowing a timelier treatment modification.
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Affiliation(s)
- Nathaniel Swinburne
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Eve LoCastro
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Ramesh Paudyal
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Neil K Taunk
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Akash Shah
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Kathryn Beal
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Behroze Vachha
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Robert J Young
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Andrei I Holodny
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Amita Shukla-Dave
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Vaios Hatzoglou
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
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38
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Houston Z, Bunt J, Chen KS, Puttick S, Howard CB, Fletcher NL, Fuchs AV, Cui J, Ju Y, Cowin G, Song X, Boyd AW, Mahler SM, Richards LJ, Caruso F, Thurecht KJ. Understanding the Uptake of Nanomedicines at Different Stages of Brain Cancer Using a Modular Nanocarrier Platform and Precision Bispecific Antibodies. ACS CENTRAL SCIENCE 2020; 6:727-738. [PMID: 32490189 PMCID: PMC7256936 DOI: 10.1021/acscentsci.9b01299] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Indexed: 06/11/2023]
Abstract
Increasing accumulation and retention of nanomedicines within tumor tissue is a significant challenge, particularly in the case of brain tumors where access to the tumor through the vasculature is restricted by the blood-brain barrier (BBB). This makes the application of nanomedicines in neuro-oncology often considered unfeasible, with efficacy limited to regions of significant disease progression and compromised BBB. However, little is understood about how the evolving tumor-brain physiology during disease progression affects the permeability and retention of designer nanomedicines. We report here the development of a modular nanomedicine platform that, when used in conjunction with a unique model of how tumorigenesis affects BBB integrity, allows investigation of how nanomaterial properties affect uptake and retention in brain tissue. By combining different in vivo longitudinal imaging techniques (including positron emission tomography and magnetic resonance imaging), we have evaluated the retention of nanomedicines with predefined physicochemical properties (size and surface functionality) and established a relationship between structure and tissue accumulation as a function of a new parameter that measures BBB leakiness; this offers significant advancements in our ability to relate tumor accumulation of nanomedicines to more physiologically relevant parameters. Our data show that accumulation of nanomedicines in brain tumor tissue is better correlated with the leakiness of the BBB than actual tumor volume. This was evaluated by establishing brain tumors using a spontaneous and endogenously derived glioblastoma model providing a unique opportunity to assess these parameters individually and compare the results across multiple mice. We also quantitatively demonstrate that smaller nanomedicines (20 nm) can indeed cross the BBB and accumulate in tumors at earlier stages of the disease than larger analogues, therefore opening the possibility of developing patient-specific nanoparticle treatment interventions in earlier stages of the disease. Importantly, these results provide a more predictive approach for designing efficacious personalized nanomedicines based on a particular patient's condition.
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Affiliation(s)
- Zachary
H. Houston
- Centre
for Advanced Imaging, The University of
Queensland, St Lucia, Queensland 4072, Australia
- Australian
Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland 4072, Australia
- ARC
Centre of Excellence in Convergent BioNano Science and Technology, The University of Queensland, St Lucia, Queensland 4072, Australia
| | - Jens Bunt
- Queensland
Brain Institute, The University of Queensland, St Lucia, Queensland 4072, Australia
| | - Kok-Siong Chen
- Queensland
Brain Institute, The University of Queensland, St Lucia, Queensland 4072, Australia
- Brigham
and Women’s Hospital, Harvard Medical
School, Boston, Massachusetts 02115, United States
| | - Simon Puttick
- Australian
Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland 4072, Australia
- Commonwealth
Scientific and Industrial Research Organisation, Probing Biosystems
Future Science Platform, Royal Brisbane
and Women’s Hospital, Brisbane, Queensland 4029, Australia
| | - Christopher B. Howard
- Centre
for Advanced Imaging, The University of
Queensland, St Lucia, Queensland 4072, Australia
- Australian
Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland 4072, Australia
- ARC
Centre of Excellence in Convergent BioNano Science and Technology, The University of Queensland, St Lucia, Queensland 4072, Australia
- ARC Training
Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, St Lucia, Queensland 4072, Australia
- ARC Training Centre for Biopharmaceutical
Innovation The University
of Queensland, St Lucia, Queensland 4072, Australia
| | - Nicholas L. Fletcher
- Centre
for Advanced Imaging, The University of
Queensland, St Lucia, Queensland 4072, Australia
- Australian
Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland 4072, Australia
- ARC
Centre of Excellence in Convergent BioNano Science and Technology, The University of Queensland, St Lucia, Queensland 4072, Australia
| | - Adrian V. Fuchs
- Centre
for Advanced Imaging, The University of
Queensland, St Lucia, Queensland 4072, Australia
- Australian
Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland 4072, Australia
- ARC
Centre of Excellence in Convergent BioNano Science and Technology, The University of Queensland, St Lucia, Queensland 4072, Australia
| | - Jiwei Cui
- Department
of Chemical Engineering, The University
of Melbourne, Parkville, Victoria 3010, Australia
- ARC
Centre of Excellence in Convergent BioNano Science and Technology, The University of Queensland, St Lucia, Queensland 4072, Australia
- Key
Laboratory of Colloid and Interface Chemistry of the Ministry of Education,
School of Chemistry and Chemical Engineering, Shandong University, Jinan, Shandong 250100, China
| | - Yi Ju
- Department
of Chemical Engineering, The University
of Melbourne, Parkville, Victoria 3010, Australia
- ARC
Centre of Excellence in Convergent BioNano Science and Technology, The University of Queensland, St Lucia, Queensland 4072, Australia
| | - Gary Cowin
- Centre
for Advanced Imaging, The University of
Queensland, St Lucia, Queensland 4072, Australia
| | - Xin Song
- Centre
for Advanced Imaging, The University of
Queensland, St Lucia, Queensland 4072, Australia
| | - Andrew W. Boyd
- Leukaemia
Foundation Laboratory, QIMR-Berghofer Medical Research Institute, Herston, Queensland 4006, Australia
- Department
of Medicine, The University of Queensland, St Lucia, Queensland 4072, Australia
| | - Stephen M. Mahler
- Australian
Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland 4072, Australia
- ARC Training Centre for Biopharmaceutical
Innovation The University
of Queensland, St Lucia, Queensland 4072, Australia
| | - Linda J. Richards
- Queensland
Brain Institute, The University of Queensland, St Lucia, Queensland 4072, Australia
- The
School of Biomedical Sciences, The University
of Queensland, St Lucia, Queensland 4072, Australia
| | - Frank Caruso
- Department
of Chemical Engineering, The University
of Melbourne, Parkville, Victoria 3010, Australia
- ARC
Centre of Excellence in Convergent BioNano Science and Technology, The University of Queensland, St Lucia, Queensland 4072, Australia
| | - Kristofer J. Thurecht
- Centre
for Advanced Imaging, The University of
Queensland, St Lucia, Queensland 4072, Australia
- Australian
Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland 4072, Australia
- ARC
Centre of Excellence in Convergent BioNano Science and Technology, The University of Queensland, St Lucia, Queensland 4072, Australia
- ARC Training
Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, St Lucia, Queensland 4072, Australia
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Sasi S D, Ramaniharan AK, Bhattacharjee R, Gupta RK, Saha I, Van Cauteren M, Shah T, Gopalakrishnan K, Gupta A, Singh A. Evaluating feasibility of high resolution T1-perfusion MRI with whole brain coverage using compressed SENSE: Application to glioma grading. Eur J Radiol 2020; 129:109049. [PMID: 32464580 DOI: 10.1016/j.ejrad.2020.109049] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 04/23/2020] [Accepted: 05/01/2020] [Indexed: 12/27/2022]
Abstract
PURPOSE To evaluate the efficacy of optimized T1-Perfusion MRI protocol (protocol-2) with whole brain coverage and improved spatial resolution using Compressed-SENSE (CSENSE) to differentiate high-grade-glioma (HGG) and low-grade-glioma (LGG) and to compare it with the conventional protocol (protocol-1) with partial brain coverage used in our center. METHODS This study included MRI data from 5 healthy volunteers, a phantom and 126 brain tumor patients. Current study had two parts: To analyze the effect of CSENSE on 3D-T1-weighted (W) fast-field-echo (FFE) images, T1-W, dual-PDT2-W turbo-spin-echo images and T1 maps, and to evaluate the performance of high resolution T1-Perfusion MRI protocol with whole brain coverage optimized using CSENSE. Coefficient-of-Variation (COV), Relative-Percentage-Error (RPE), Normalized-Mean-Squared-Error (NMSE) and qualitative scoring were used for the former study. Tracer-kinetic (Ktrans,ve,vp) and hemodynamic (rCBV,rCBF) parameters computed from both protocols were used to differentiate LGG and HGG. RESULTS The image quality of all structural images was found to be of diagnostic quality till R = 4. NMSE in healthy T1-W-FFE images and COV in phantom images increased with-respect-to R and images provided optimum quality till R = 4. Structural images and maps exhibited artefacts from R = 6. All parameters in tumor tissue and hemodynamic parameters in healthy gray matter tissue computed from both protocols were not significantly different. Parameters computed from protocol-2 performed better in terms of glioma grading. For both protocols, rCBF performed least (AUC = 0.759 and 0.851) and combination of all parameters performed best (AUC = 0.890 and 0.964). CONCLUSION CSENSE (R = 4) can be used to improve the resolution and brain coverage for T1-Perfusion analysis used to differentiate gliomas.
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Affiliation(s)
- Dinil Sasi S
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India
| | | | - Rupsa Bhattacharjee
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India; Philips India Limited, Gurugram, India
| | | | | | | | - Tejas Shah
- Philips Innovation Campus, Bangalore, India
| | | | | | - Anup Singh
- Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India; Department of Biomedical Engineering, All India Institute of Medical Sciences, New Delhi, India.
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40
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Moon WJ. Alzheimer Dementia and Microvascular Pathology: Blood-Brain Barrier Permeability Imaging. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2020; 81:488-500. [PMID: 36238621 PMCID: PMC9431923 DOI: 10.3348/jksr.2020.81.3.488] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 04/14/2020] [Accepted: 04/17/2020] [Indexed: 11/15/2022]
Affiliation(s)
- Won-Jin Moon
- Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
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Lingala SG, Guo Y, Bliesener Y, Zhu Y, Lebel RM, Law M, Nayak KS. Tracer kinetic models as temporal constraints during brain tumor DCE-MRI reconstruction. Med Phys 2019; 47:37-51. [PMID: 31663134 PMCID: PMC6980286 DOI: 10.1002/mp.13885] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 10/17/2019] [Accepted: 10/17/2019] [Indexed: 12/11/2022] Open
Abstract
Purpose To apply tracer kinetic models as temporal constraints during reconstruction of under‐sampled brain tumor dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI). Methods A library of concentration vs time profiles is simulated for a range of physiological kinetic parameters. The library is reduced to a dictionary of temporal bases, where each profile is approximated by a sparse linear combination of the bases. Image reconstruction is formulated as estimation of concentration profiles and sparse model coefficients with a fixed sparsity level. Simulations are performed to evaluate modeling error, and error statistics in kinetic parameter estimation in presence of noise. Retrospective under‐sampling experiments are performed on a brain tumor DCE digital reference object (DRO), and 12 brain tumor in‐vivo 3T datasets. The performances of the proposed under‐sampled reconstruction scheme and an existing compressed sensing‐based temporal finite‐difference (tFD) under‐sampled reconstruction were compared against the fully sampled inverse Fourier Transform‐based reconstruction. Results Simulations demonstrate that sparsity levels of 2 and 3 model the library profiles from the Patlak and extended Tofts‐Kety (ETK) models, respectively. Noise sensitivity analysis showed equivalent kinetic parameter estimation error statistics from noisy concentration profiles, and model approximated profiles. DRO‐based experiments showed good fidelity in recovery of kinetic maps from 20‐fold under‐sampled data. In‐vivo experiments demonstrated reduced bias and uncertainty in kinetic mapping with the proposed approach compared to tFD at under‐sampled reduction factors >= 20. Conclusions Tracer kinetic models can be applied as temporal constraints during brain tumor DCE‐MRI reconstruction. The proposed under‐sampled scheme resulted in model parameter estimates less biased with respect to conventional fully sampled DCE MRI reconstructions and parameter estimation. The approach is flexible, can use nonlinear kinetic models, and does not require tuning of regularization parameters.
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Affiliation(s)
- Sajan Goud Lingala
- Roy J Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA
| | - Yi Guo
- Snap Inc., San Francisco, CA, USA
| | - Yannick Bliesener
- Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
| | | | - R Marc Lebel
- GE Healthcare Applied Sciences Laboratory, Calgary, Canada
| | - Meng Law
- Department of Neuroscience, Monash University, Melbourne, Australia
| | - Krishna S Nayak
- Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
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Imaging correlates of the blood-brain barrier disruption in HIV-associated neurocognitive disorder and therapeutic implications. AIDS 2019; 33:1843-1852. [PMID: 31274535 DOI: 10.1097/qad.0000000000002300] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE HIV-associated neurocognitive disorders (HANDs) in the context of suppressive combination antiretroviral therapy (cART) still occur. We explored the role of blood-brain barrier (BBB) disruption in the pathogenesis of HAND in the context of fully suppressive cART using dynamic contrast enhanced perfusion (DCE-P) MRI. DCE-P is a new MRI technique that measures capillary permeability as an indicator for BBB integrity. We hypothesized that virally suppressed incident HAND would be associated with an impaired BBB as determined by DCE-P. DESIGN A cross sectional study. METHODS K-trans, a metric derivative of DCE-P, was obtained from different regions of the brain in a cohort of 20 patients with HAND who were virally suppressed in both cerebrospinal fluid (CSF) and blood compared with CSF and blood markers of neuroinflammation as well as with neurometabolites derived from magnetic resonance (MR) spectroscopy. RESULTS The K-trans data showed significantly impaired BBB in HAND patients when compared with the controls in the regions of the basal ganglia and anterior frontal white matter (both P < 0.0001). CSF neopterin and CSF/serum albumin ratio correlated positively with K-trans but not with blood levels. CONCLUSION This study indicates that HAND in the context of viral suppression is associated with BBB disruption and the DCE MR derived K-trans metric is a very sensitive parameter to identify the BBB disruption. The finding of region-specific BBB disruption rather than globally and the lack of correlation with blood markers of neuroinflammation suggest that HIV and not systemic inflammation is driving the BBB disturbance and that the BBB disruption is a consequence of HIV already in the brain as opposed to HIV first causing BBB disruption then brain disease.
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Netto JP, Iliff J, Stanimirovic D, Krohn KA, Hamilton B, Varallyay C, Gahramanov S, Daldrup-Link H, d'Esterre C, Zlokovic B, Sair H, Lee Y, Taheri S, Jain R, Panigrahy A, Reich DS, Drewes LR, Castillo M, Neuwelt EA. Neurovascular Unit: Basic and Clinical Imaging with Emphasis on Advantages of Ferumoxytol. Neurosurgery 2019; 82:770-780. [PMID: 28973554 DOI: 10.1093/neuros/nyx357] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 06/27/2017] [Indexed: 12/11/2022] Open
Abstract
Physiological and pathological processes that increase or decrease the central nervous system's need for nutrients and oxygen via changes in local blood supply act primarily at the level of the neurovascular unit (NVU). The NVU consists of endothelial cells, associated blood-brain barrier tight junctions, basal lamina, pericytes, and parenchymal cells, including astrocytes, neurons, and interneurons. Knowledge of the NVU is essential for interpretation of central nervous system physiology and pathology as revealed by conventional and advanced imaging techniques. This article reviews current strategies for interrogating the NVU, focusing on vascular permeability, blood volume, and functional imaging, as assessed by ferumoxytol an iron oxide nanoparticle.
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Affiliation(s)
- Joao Prola Netto
- Department of Neurology, Oregon Health & Science University, Portland, Oregon.,Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon
| | - Jeffrey Iliff
- Department of Anesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon
| | - Danica Stanimirovic
- Human Health Therapeutics Portfolio, National Research Council of Canada, Ottawa, Ontario, Canada
| | - Kenneth A Krohn
- Department of Radiology, University of Washington, Seattle, Washington.,Department of Radiology, Oregon Health & Science University, Portland, Oregon
| | - Bronwyn Hamilton
- Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon
| | - Csanad Varallyay
- Department of Neurology, Oregon Health & Science University, Portland, Oregon.,Department of Radiology, Oregon Health & Science University, Portland, Oregon
| | - Seymur Gahramanov
- Department of Neurosurgery, University of New Mexico, Albuquerque, New Mexico
| | | | - Christopher d'Esterre
- Department of Radiology, University of Calgary, Foothills Medical Center, Calgary, Alberta, Canada
| | - Berislav Zlokovic
- Zikha Neurogenetic Institute, University of Southern California, Los Angeles, California
| | - Haris Sair
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Yueh Lee
- Department of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Saeid Taheri
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Rajan Jain
- Department of Radiology and Neurosurgery, New York University School of Medicine, New York, New York
| | - Ashok Panigrahy
- Department of Radiology, Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Daniel S Reich
- Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
| | - Lester R Drewes
- Department of Biomedical Sciences, University of Minnesota, Duluth, Minnesota
| | - Mauricio Castillo
- Department of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Edward A Neuwelt
- Department of Neurology, Oregon Health & Science University, Portland, Oregon.,Department of Neurosurgery, Oregon Health & Science University, Portland, Oregon.,Portland Veterans Affairs Medical Center, Portland, Oregon
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Thrippleton MJ, Backes WH, Sourbron S, Ingrisch M, van Osch MJP, Dichgans M, Fazekas F, Ropele S, Frayne R, van Oostenbrugge RJ, Smith EE, Wardlaw JM. Quantifying blood-brain barrier leakage in small vessel disease: Review and consensus recommendations. Alzheimers Dement 2019; 15:840-858. [PMID: 31031101 PMCID: PMC6565805 DOI: 10.1016/j.jalz.2019.01.013] [Citation(s) in RCA: 129] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 11/22/2018] [Accepted: 01/18/2019] [Indexed: 12/12/2022]
Abstract
Cerebral small vessel disease (cSVD) comprises pathological processes of the small vessels in the brain that may manifest clinically as stroke, cognitive impairment, dementia, or gait disturbance. It is generally accepted that endothelial dysfunction, including blood-brain barrier (BBB) failure, is pivotal in the pathophysiology. Recent years have seen increasing use of imaging, primarily dynamic contrast-enhanced magnetic resonance imaging, to assess BBB leakage, but there is considerable variability in the approaches and findings reported in the literature. Although dynamic contrast-enhanced magnetic resonance imaging is well established, challenges emerge in cSVD because of the subtle nature of BBB impairment. The purpose of this work, authored by members of the HARNESS Initiative, is to provide an in-depth review and position statement on magnetic resonance imaging measurement of subtle BBB leakage in clinical research studies, with aspects requiring further research identified. We further aim to provide information and consensus recommendations for new investigators wishing to study BBB failure in cSVD and dementia.
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Affiliation(s)
- Michael J Thrippleton
- Centre for Clinical Brain Science, University of Edinburgh, Edinburgh, UK; Dementia Research Institute, University of Edinburgh, Edinburgh, UK; Edinburgh Imaging, University of Edinburgh, Edinburgh, UK.
| | - Walter H Backes
- Department of Radiology & Nuclear Medicine, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Steven Sourbron
- Leeds Imaging Biomarkers group, Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK
| | - Michael Ingrisch
- Department of Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Matthias J P van Osch
- Department of Radiology, C. J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-University München & Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Richard Frayne
- Department of Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada; Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada; Seaman Family MR Research Centre, Foothills Medical Centre, Calgary, Alberta, Canada
| | - Robert J van Oostenbrugge
- Department of Neurology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Eric E Smith
- Department of Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada; Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Joanna M Wardlaw
- Centre for Clinical Brain Science, University of Edinburgh, Edinburgh, UK; Dementia Research Institute, University of Edinburgh, Edinburgh, UK; Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
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45
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Xiong H, Yin P, Li X, Yang C, Zhang D, Huang X, Tang Z. The features of cerebral permeability and perfusion detected by dynamic contrast-enhanced magnetic resonance imaging with Patlak model in relapsing-remitting multiple sclerosis. Ther Clin Risk Manag 2019; 15:233-240. [PMID: 30787618 PMCID: PMC6366346 DOI: 10.2147/tcrm.s189598] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Objective To investigate the features of cerebral permeability and perfusion detected by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with Patlak model in relapsing–remitting multiple sclerosis (RRMS) and their correlations with Expanded Disability Status Scale (EDSS) scores and disease duration. Patients and methods Twenty-seven RRMS patients underwent conventional MRI and DCE-MRI with 3.0 T magnetic resonance scanner were enrolled in the study. A Patlak model was used to quantitatively measure MRI biomarkers, including volume transfer constant (Ktrans), fractional plasma volume (Vp), cerebral blood flow (CBF), and cerebral blood volume (CBV). The correlations of MRI biomarkers with EDSS scores and disease duration were analyzed. Results The MRI biomarkers Ktrans, Vp, CBF, and CBV of contrast-enhancing (CE) lesions were significantly higher (P<0.05) than those of non-enhancing (NE) lesions and normal-appearing white matter (NAWM) regions. The skewness and kurtosis of Ktrans values in CE lesions were significantly higher (P<0.05) than that of NE lesions. No significant correlation was found among the biomarkers with EDSS scores and disease duration (P>0.05). Conclusion Our study demonstrated the abnormalities of permeability and perfusion characteristics in multiple sclerosis (MS) lesions and NAWM regions by DCE-MRI with Patlak model. The Ktrans, Vp, CBF, and CBV of CE lesions were significantly higher than that of NE lesions, but these MRI biomarkers did not associate with the severity and duration of the disease. The skewness and kurtosis of Ktrans value in CE lesions were significantly higher than that in NE lesions, indicating that these parameters of Ktrans histogram can be used to distinguish the pathology of MS lesions.
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Affiliation(s)
- Hua Xiong
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China, .,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China,
| | - Ping Yin
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Xiaojiao Li
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China, .,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China,
| | - Chao Yang
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China, .,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China,
| | - Dan Zhang
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China, .,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China,
| | - Xianlong Huang
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China, .,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China,
| | - Zhuoyue Tang
- Department of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China, .,Molecular and Functional Imaging Laboratory, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China,
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46
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Varatharaj A, Liljeroth M, Darekar A, Larsson HB, Galea I, Cramer SP. Blood-brain barrier permeability measured using dynamic contrast-enhanced magnetic resonance imaging: a validation study. J Physiol 2019; 597:699-709. [PMID: 30417928 PMCID: PMC6355631 DOI: 10.1113/jp276887] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2018] [Accepted: 11/07/2018] [Indexed: 01/29/2023] Open
Abstract
KEY POINTS The blood-brain barrier (BBB) is an important and dynamic structure which contributes to homeostasis in the central nervous system. BBB permeability changes occur in health and disease but measurement of BBB permeability in humans is not straightforward. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can be used to model the movement of gadolinium contrast into the brain, expressed as the influx constant Ki . Here evidence is provided that Ki as measured by DCE-MRI behaves as expected for a marker of overall BBB leakage. These results support the use of DCE-MRI for in vivo studies of human BBB permeability in health and disease. ABSTRACT Blood-brain barrier (BBB) leakage can be measured using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as the influx constant Ki . To validate this method we compared measured Ki with biological expectations, namely (1) higher Ki in healthy individual grey matter (GM) versus white matter (WM), (2) GM/WM cerebral blood volume (CBV) ratio close to the histologically established GM/WM vascular density ratio, (3) higher Ki in visibly enhancing multiple sclerosis (MS) lesions versus MS normal appearing white matter (NAWM), and (4) higher Ki in MS NAWM versus healthy individual NAWM. We recruited 13 healthy individuals and 12 patients with MS and performed whole-brain 3D DCE-MRI at 3 T. Ki and CBV were calculated using Patlak modelling for manual regions of interest (ROI) and segmented tissue masks. Ki was higher in control GM versus WM (P = 0.001). CBV was higher in GM versus WM (P = 0.005, mean ratio 1.9). Ki was higher in visibly enhancing MS lesions versus MS NAWM (P = 0.002), and in MS NAWM versus controls (P = 0.014). Bland-Altman analysis showed no significant difference between ROI and segmentation methods (P = 0.638) and an intra-class correlation coefficient showed moderate single measure consistency (0.610). Ki behaves as expected for a compound marker of permeability and surface area. The GM/WM CBV ratio measured by this technique is in agreement with the literature. This adds evidence to the validity of Ki measured by DCE-MRI as a marker of overall BBB leakage.
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Affiliation(s)
- Aravinthan Varatharaj
- Clinical NeurosciencesClinical and Experimental SciencesFaculty of MedicineUniversity of SouthamptonSouthamptonUK
| | - Maria Liljeroth
- Department of Medical PhysicsUniversity Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Angela Darekar
- Department of Medical PhysicsUniversity Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Henrik B.W. Larsson
- Functional Imaging UnitDepartment of Clinical PhysiologyNuclear Medicine and PET, RigshospitaletCopenhagenDenmark
| | - Ian Galea
- Clinical NeurosciencesClinical and Experimental SciencesFaculty of MedicineUniversity of SouthamptonSouthamptonUK
| | - Stig P. Cramer
- Functional Imaging UnitDepartment of Clinical PhysiologyNuclear Medicine and PET, RigshospitaletCopenhagenDenmark
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47
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Sweeney MD, Zhao Z, Montagne A, Nelson AR, Zlokovic BV. Blood-Brain Barrier: From Physiology to Disease and Back. Physiol Rev 2019; 99:21-78. [PMID: 30280653 PMCID: PMC6335099 DOI: 10.1152/physrev.00050.2017] [Citation(s) in RCA: 1183] [Impact Index Per Article: 236.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2017] [Revised: 04/17/2018] [Accepted: 04/17/2018] [Indexed: 12/12/2022] Open
Abstract
The blood-brain barrier (BBB) prevents neurotoxic plasma components, blood cells, and pathogens from entering the brain. At the same time, the BBB regulates transport of molecules into and out of the central nervous system (CNS), which maintains tightly controlled chemical composition of the neuronal milieu that is required for proper neuronal functioning. In this review, we first examine molecular and cellular mechanisms underlying the establishment of the BBB. Then, we focus on BBB transport physiology, endothelial and pericyte transporters, and perivascular and paravascular transport. Next, we discuss rare human monogenic neurological disorders with the primary genetic defect in BBB-associated cells demonstrating the link between BBB breakdown and neurodegeneration. Then, we review the effects of genes underlying inheritance and/or increased susceptibility for Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease, and amyotrophic lateral sclerosis (ALS) on BBB in relation to other pathologies and neurological deficits. We next examine how BBB dysfunction relates to neurological deficits and other pathologies in the majority of sporadic AD, PD, and ALS cases, multiple sclerosis, other neurodegenerative disorders, and acute CNS disorders such as stroke, traumatic brain injury, spinal cord injury, and epilepsy. Lastly, we discuss BBB-based therapeutic opportunities. We conclude with lessons learned and future directions, with emphasis on technological advances to investigate the BBB functions in the living human brain, and at the molecular and cellular level, and address key unanswered questions.
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Affiliation(s)
- Melanie D Sweeney
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California , Los Angeles, California ; and Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California , Los Angeles, California
| | - Zhen Zhao
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California , Los Angeles, California ; and Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California , Los Angeles, California
| | - Axel Montagne
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California , Los Angeles, California ; and Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California , Los Angeles, California
| | - Amy R Nelson
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California , Los Angeles, California ; and Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California , Los Angeles, California
| | - Berislav V Zlokovic
- Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California , Los Angeles, California ; and Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California , Los Angeles, California
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48
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Georgiou L, Wilson DJ, Sharma N, Perren TJ, Buckley DL. A functional form for a representative individual arterial input function measured from a population using high temporal resolution DCE MRI. Magn Reson Med 2018; 81:1955-1963. [PMID: 30257053 DOI: 10.1002/mrm.27524] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 08/17/2018] [Accepted: 08/20/2018] [Indexed: 12/28/2022]
Abstract
PURPOSE To measure the arterial input function (AIF), an essential component of tracer kinetic analysis, in a population of patients using an optimized dynamic contrast-enhanced (DCE) imaging sequence and to estimate inter- and intrapatient variability. From these data, a representative AIF that may be used for realistic simulation studies can be extracted. METHODS Thirty-nine female patients were imaged on multiple visits before and during a course of neoadjuvant chemotherapy for breast cancer. A total of 97 T1 -weighted DCE studies were analyzed including bookend estimates of T1 and model-fitting to each individual AIF. Area under the curve and cardiac output were estimated from each first pass peak, and these data were used to assess inter- and intrapatient variability of the AIF. RESULTS Interpatient variability exceeded intrapatient variability of the AIF. There was no change in cardiac output as a function of MR visit (mean value 5.6 ± 1.1 L/min) but baseline blood T1 increased significantly following the start of chemotherapy (which was accompanied by a decrease in hematocrit). CONCLUSION The AIF in an individual patient can be measured reproducibly but the variability of AIFs between patients suggests that use of a population AIF will decrease the precision of tracer kinetic analysis performed in cross-patient comparison studies. A representative AIF is presented that is typical of the population but retains the characteristics of an individually measured AIF.
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Affiliation(s)
- Leonidas Georgiou
- Biomedical Imaging, University of Leeds, Leeds, United Kingdom.,Department of Medical Physics, German Oncology Center, Limassol, Cyprus
| | - Daniel J Wilson
- Department of Medical Physics and Engineering, Leeds Teaching Hospital NHS Trust, Leeds, United Kingdom
| | - Nisha Sharma
- Department of Radiology, Leeds Teaching Hospital NHS Trust, Leeds, United Kingdom
| | - Timothy J Perren
- Leeds Institute of Cancer and Pathology, St. James's University Hospital, Leeds, United Kingdom
| | - David L Buckley
- Biomedical Imaging, University of Leeds, Leeds, United Kingdom
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49
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Alexander JJ. Blood-brain barrier (BBB) and the complement landscape. Mol Immunol 2018; 102:26-31. [PMID: 30007547 DOI: 10.1016/j.molimm.2018.06.267] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2018] [Revised: 06/12/2018] [Accepted: 06/13/2018] [Indexed: 12/16/2022]
Abstract
The brain is an immune privileged organ, uniquely placed in the body. Two systems involved in maintaining brain homeostasis and in protecting the brain are the blood-brain barrier (BBB) and the complement system. The BBB is present in the vasculature of the brain and is the dynamic interface between brain and body that regulates what enters and leaves the brain, thereby maintaining the brain microenvironment optimal for brain function. The complement system is ubiquitous, being present systemically and in the brain, both membrane bound and in circulation. It is an important arm of the body's defense that helps maintain homeostasis by eliminating debris and damaged cells, participating in destroying pathogens, promoting inflammation and conveying 'danger signals'. Recent studies reveal that the complement system plays an important role in normal brain development. However, when the complement system is overwhelmed, complement activation could contribute to loss of BBB integrity resulting in brain pathology. Studies support an association between complement proteins and BBB dysfunction, with the mechanisms being slowly unraveled. This review will provide an overview of both these systems, how they intersect and interact with each other.
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Affiliation(s)
- Jessy J Alexander
- Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 875 Ellicott Street, 8-022A Buffalo, New York, NY, 14203, United States.
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Raja R, Rosenberg GA, Caprihan A. MRI measurements of Blood-Brain Barrier function in dementia: A review of recent studies. Neuropharmacology 2018; 134:259-271. [PMID: 29107626 PMCID: PMC6044415 DOI: 10.1016/j.neuropharm.2017.10.034] [Citation(s) in RCA: 91] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2017] [Revised: 10/24/2017] [Accepted: 10/26/2017] [Indexed: 12/26/2022]
Abstract
Blood-brain barrier (BBB) separates the systemic circulation and the brain, regulating transport of most molecules to protect the brain microenvironment. Multiple structural and functional components preserve the integrity of the BBB. Several imaging modalities are available to study disruption of the BBB. However, the subtle changes in BBB leakage that occurs in vascular cognitive impairment and Alzheimer's disease have been less well studied. Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is the most widely adopted non-invasive imaging technique for evaluating BBB breakdown. It is used as a significant marker for a wide variety of diseases with large permeability leaks, such as brain tumors and multiple sclerosis, to more subtle disruption in chronic vascular disease and dementia. DCE-MRI analysis of BBB includes both model-free parameters and quantitative parameters using pharmacokinetic modelling. We review MRI studies of BBB breakdown in dementia. The challenges in measuring subtle BBB changes and the state of the art techniques are initially examined. Subsequently, a systematic review comparing methodologies from recent in-vivo MRI studies is presented. Various factors related to subtle BBB permeability measurement such as DCE-MRI acquisition parameters, arterial input assessment, T1 mapping and data analysis methods are reviewed with the focus on finding the optimal technique. Finally, the reported BBB permeability values in dementia are compared across different studies and across various brain regions. We conclude that reliable measurement of low-level BBB permeability across sites remains a difficult problem and a standardization of the methodology for both data acquisition and quantitative analysis is required. This article is part of the Special Issue entitled 'Cerebral Ischemia'.
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Affiliation(s)
| | - Gary A Rosenberg
- Department of Neurology, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
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