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S. Barnes, T. Ng, A. Montagne, Meng Law, B. Zlokovic, R. Jacobs (2016)
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Evaluating Permeability Surface-Area Product as a Measure of Blood-Brain Barrier Permeability in a Murine ModelAmerican Journal of Neuroradiology, 37
A. Montagne, S. Barnes, Melanie Sweeney, Matthew Halliday, A. Sagare, Zhen Zhao, A. Toga, R. Jacobs, Collin Liu, L. Amezcua, M. Harrington, H. Chui, M. Law, B. Zlokovic (2015)
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REPLY: parameters. Our aim was to apply DCE-MR imaging protocol and postprocessing methods, which can be readily implemented e appreciate the comments from Drs Lim and Moon on into clinical workflows. Wour article entitled, “Dynamic Contrast-Enhanced MRI We would next like to address the authors’ comments on Reveals Unique Blood-Brain Barrier Permeability Characteristics spatial resolution and section thickness and concerns regarding in the Hippocampus in the Normal Brain,” and appreciate the contamination of the hippocampal measurements by the hip- opportunity to respond. pocampal artery and choroid plexus. We acknowledge that cau- The first comment is focused on the permeability model tion must be exercised when interpreting our results, given the used in dynamic contrast-enhanced (DCE)-MR imaging post- small sample size in our study and the challenge in avoiding processing. In our study, we used a commercially available choroid plexus contamination in the ROI sampling of the hip- software, Olea Sphere (Olea Medical, La Ciotat, France), using pocampus, and we mention these important points in the limi- the extended Tofts permeability model to postprocess the tations section of our article. We would also like to emphasize acquired DCE-MR imaging data into blood-brain barrier per- that we used rigorous methods when
American Journal of Neuroradiology – American Journal of Neuroradiology
Published: Dec 1, 2019
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