Assessment of the clinical feasibility of detecting subtle blood-brain barrier leakage in cerebral small vessel disease using dynamic susceptibility contrast MRI. Elschot, E. P., Backes, W. H., de Jong, J. J. A., Drenthen, G. S., Wong, S. M., Staals, J., Postma, A. A., Rouhl, R. P. W., van Oostenbrugge, R. J., & Jansen, J. F. A. Magn Reson Imaging, 2023. Elschot, Elles P Backes, Walter H de Jong, Joost J A Drenthen, Gerhard S Wong, Sau May Staals, Julie Postma, Alida A Rouhl, Rob P W van Oostenbrugge, Robert J Jansen, Jacobus F A eng Netherlands Magn Reson Imaging. 2023 May 1:S0730-725X(23)00087-5. doi: 10.1016/j.mri.2023.04.004.
Assessment of the clinical feasibility of detecting subtle blood-brain barrier leakage in cerebral small vessel disease using dynamic susceptibility contrast MRI [link]Paper  doi  abstract   bibtex   
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 K(i), 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, K(i) 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 T(1)- and T(2)( *)-weighting. Further research is warranted to better disentangle perfusion from leakage effects.
@article{RN329,
   author = {Elschot, E. P. and Backes, W. H. and de Jong, J. J. A. and Drenthen, G. S. and Wong, S. M. and Staals, J. and Postma, A. A. and Rouhl, R. P. W. and van Oostenbrugge, R. J. and Jansen, J. F. A.},
   title = {Assessment of the clinical feasibility of detecting subtle blood-brain barrier leakage in cerebral small vessel disease using dynamic susceptibility contrast MRI},
   journal = {Magn Reson Imaging},
   note = {Elschot, Elles P
Backes, Walter H
de Jong, Joost J A
Drenthen, Gerhard S
Wong, Sau May
Staals, Julie
Postma, Alida A
Rouhl, Rob P W
van Oostenbrugge, Robert J
Jansen, Jacobus F A
eng
Netherlands
Magn Reson Imaging. 2023 May 1:S0730-725X(23)00087-5. doi: 10.1016/j.mri.2023.04.004.},
   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 K(i), 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, K(i) 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 T(1)- and T(2)( *)-weighting. Further research is warranted to better disentangle perfusion from leakage effects.},
   keywords = {Blood-brain barrier leakage
Cerebral small vessel disease
Dce-mri
Dsc-mri
Perfusion},
   ISSN = {1873-5894 (Electronic)
0730-725X (Linking)},
   DOI = {10.1016/j.mri.2023.04.004},
   url = {https://www.ncbi.nlm.nih.gov/pubmed/37137345},
   year = {2023},
   type = {Journal Article}
}

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