The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Quantification of cerebral blood flow, cerebral blood volume, and blood–brain‐barrier leakage with DCE‐MRI
Open accessAbstract
Dynamic susceptibility contrast MRI (DSC‐MRI) is the current standard for the measurement of Cerebral Blood Flow (CBF) and Cerebral Blood Volume (CBV), but it is not suitable for the measurement of Extraction Flow (EF) and may not allow for absolute quantification. The objective of this study was to develop and evaluate a methodology to measure CBF, CBV, and EF from T1‐weighted dynamic contrast‐enhanced MRI (DCE‐MRI). A two‐compartment modeling approach was developed, which applies both to tissues with an intact and with a broken Blood‐Brain‐Barrier (BBB). The approach was evaluated using measurements in normal grey matter (GM) and white matter (WM) and in tumors of 15 patients. Accuracy and precision were estimated with simulations of normal brain tissue. All tumor and normal tissue curves were accurately fitted by the model. CBF (mL/100 mL/min) was 82 ± 21 in GM and 23 ± 14 in WM, CBV (mL/100 mL) was 2.6 ± 0.8 in GM and 1.3 ± 0.4 in WM. EF (mL/100 mL/min) was close to zero in GM (−0.009 ± 0.05) and WM (−0.03 ± 0.08). Simulations show an overlap between CBF values of WM and GM, which is eliminated when Contrast‐to‐Noise (CNR) is improved. The model provides a consistent description of tracer kinetics in all brain tissues, and an accurate assessment of perfusion and permeability in reference tissues. The measurement sequence requires optimization to improve CNR and the precision in the perfusion parameters. With this approach, DCE‐MRI presents a promising alternative to DSC‐MRI for quantitative bolus‐tracking in the brain. Magn Reson Med, 2009. © 2009 Wiley‐Liss, Inc.
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Tofts, P. S., Brix, G., Buckley, D. L., Evelhoch, J. L., Henderson, E., Knopp, M. V., Larsson, H. B. W., Lee, T.-Y., Mayr, N. A., Parker, G. J. M., et al. (1999) · Journal of Magnetic Resonance Imaging · doi:10.1002/(sici)1522-2586(199909)10:3<223::aid-jmri2>3.0.co;2-s · Cited by 3,143
Rohrer, M., Bauer, H., Mintorovitch, J., Requardt, M., & Weinmann, H.-J. (2005) · Investigative Radiology · doi:10.1097/01.rli.0000184756.66360.d3 · Cited by 1,682
T1, T2 relaxation and magnetization transfer in tissue at 3T
Stanisz, G. J., Odrobina, E. E., Pun, J., Escaravage, M., Graham, S. J., Bronskill, M. J., & Henkelman, R. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20605 · Cited by 1,266
Perfusion imaging with NMR contrast agents
Rosen, B. R., Belliveau, J. W., Vevea, J. M., & Brady, T. J. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140211 · Cited by 1,151
Compartmental analysis in Biology and Medicine
Anderson, D. H. (1986) · Mathematical Biosciences · doi:10.1016/0025-5564(86)90168-9 · Cited by 988
Compartmental analysis in biology and medicine
Jacquez, J. A. (1985) · Cited by 807
Villringer, A., Rosen, B. R., Belliveau, J. W., Ackerman, J. L., Lauffer, R. B., Buxton, R. B., Chao, Y., Wedeenand, V. J., & Brady, T. J. (1988) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910060205 · Cited by 706
Boxerman, J. L., Schmainda, K. M., & Weisskoff, R. M. (2006) · PubMed · Cited by 686
Cha, S., Knopp, E. A., Johnson, G., Wetzel, S. G., Litt, A. W., & Zagzag, D. (2002) · Radiology · doi:10.1148/radiol.2231010594 · Cited by 525
Tracer kinetic methods in medical physiology
Lassen, N. A., & Perl, W. (1979) · Raven Press eBooks · Cited by 495
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Classic models for dynamic contrast‐enhanced MRI
Sourbron, S. P., & Buckley, D. L. (2013) · NMR in Biomedicine · doi:10.1002/nbm.2940 · Cited by 434
Self-citationHeye, A. K., Culling, R. D., Valdés Hernández, M. D. C., Thrippleton, M. J., & Wardlaw, J. M. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.09.002 · Cited by 406
Perfusion Magnetic Resonance Imaging: A Comprehensive Update on Principles and Techniques
Jahng, G.-H., Li, K.-L., Ostergaard, L., & Calamante, F. (2014) · Korean Journal of Radiology · doi:10.3348/kjr.2014.15.5.554 · Cited by 256
Thrippleton, M. J., Backes, W. H., Sourbron, S., Ingrisch, M., van Osch, M. J. P., Dichgans, M., Fazekas, F., Ropele, S., Frayne, R., van Oostenbrugge, R. J., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2019.01.013 · Cited by 252
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Metadata
- Authors
- Sourbron, S., Ingrisch, M., Siefert, A., Reiser, M., & Herrmann, K.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2009-05-15
- Volume
- 62
- Issue
- 1
- Pages
- 205-217
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W1977355015
- Cited by
- 276
- References
- 39
- FWCI
- 13.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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