Age dependency of the regional cerebral blood volume (rCBV) measured with dynamic susceptibility contrast MR imaging (DSC)
Abstract
The changes of the regional cerebral blood volume (rCBV) with age were studied using dynamic susceptibility contrast MRI (DSC). We examined an unselected, random sample of 71 consecutive patients referred for work-up of suspected intracranial tumors (35 normal examinations, 36 tumors) with a standard 1.5 T clinical MR system. Determination of the rCBV was performed with a T2*-weighted simultaneous dual (SD) FLASH sequence (TR/TE1/TE2/alpha = 32/25/16/10 degrees, 55 images) after bolus injection of Gd-DTPA. Absolute quantification of the rCBV was achieved by normalizing the measured tissue concentration-time curves with the integrated arterial input function (AIF), which was simultaneously measured in the brain feeding arteries. The rCBV (mean +/- SD) was 8.4 +/- 2.9 ml/100 g and 4.2 +/- 1.7 ml/100 g in gray and white matter, respectively, with a decline of about 3% and 6% per decade for white and gray matter, respectively. We conclude that DSC using a SD FLASH sequence allows the simultaneous measurement of the AIF and the tissue concentration-time curve and thus an absolute quantification of the rCBV, which is the basis for interperson comparisons and follow-up studies.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Cerebral blood volume directly indexes blood volume.
“CBV is a direct measure of blood volume (Wenz et al., 1996; Lu et al., 2005; Barbier et al., 2001)”
From Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise (2016) · cites this paper as Wenz et al., 1996
Cites
Frackowiak, R. S. J., Lenzi, G.-L., Jones, T., & Heather, J. D. (1980) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-198012000-00001 · Cited by 1,241 · see citing works
CEREBRAL BLOOD FLOW, BLOOD VOLUME AND OXYGEN UTILIZATION
Leenders, K. L., Perani, D., Lammertsma, A. A., Heather, J. D., Buckingham, P. D., Jones, T., Healy, M. J. R., GIBBS, J. M., WISE, R. J. S., Hatazawa, J., et al. (1990) · Brain · doi:10.1093/brain/113.1.27 · Cited by 1,094 · see citing works
Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings.
Aronen, H. J., Gazit, I. E., Louis, D. N., Buchbinder, B. R., Pardo, F. S., Weisskoff, R. M., Harsh, G. R., Cosgrove, G. R., Halpern, E. F., & Hochberg, F. H. (1994) · Radiology · doi:10.1148/radiology.191.1.8134596 · Cited by 905 · see citing works
Rempp, K., Brix, G., Wenz, F. K., Becker, C. R., Gückel, F., & Lorenz, W. (1994) · Radiology · doi:10.1148/radiology.193.3.7972800 · Cited by 638 · see citing works
Theoretical Basis of Indicator-Dilution Methods For Measuring Flow and Volume
Zierler, K. L. (1962) · Circulation Research · doi:10.1161/01.res.10.3.393 · Cited by 517 · see citing works
Cerebral blood flow: assessment with dynamic contrast-enhanced T2*-weighted MR imaging at 1.5 T.
Edelman, R. R., Mattle, H. P., Atkinson, D. J., Hill, T. C., Finn, J. P., Mayman, C., Ronthal, M., Hoogewoud, H. M., & Kleefield, J. (1990) · Radiology · doi:10.1148/radiology.176.1.2353094 · Cited by 303 · see citing works
Perfusion imaging by nuclear magnetic resonance.
Rosen, B. R., Belliveau, J. W., & Chien, D. (1989) · PubMed · Cited by 274 · see citing works
Regional Cerebral Oxygen Consumption, Blood Flow, and Blood Volume in Healthy Human Aging
Marchal, G., Rioux, P. P., Petit-Taboué, M.-C., Sette, G., Travère, J.-M., Poec, C. L., Courtheoux, P., Derlon, J.-M., & Baron, J. (1992) · Archives of Neurology · doi:10.1001/archneur.1992.00530340029014 · Cited by 271 · see citing works
Tumor vascularity in the brain: evaluation with dynamic susceptibility-contrast MR imaging.
Maeda, M., Itoh, S., Kimura, H., Iwasaki, T., Hayashi, N., Yamamoto, K., Ishii, Y., & Kubota, T. (1993) · Radiology · doi:10.1148/radiology.189.1.8372199 · Cited by 164 · see citing works
Measurement of regional cerebral blood volume by emission tomography
Grubb, R. L., Raichle, M. E., Higgins, C. S., & Eichling, J. O. (1978) · Annals of Neurology · doi:10.1002/ana.410040407 · Cited by 159 · see citing works
Hemodynamic Changes Associated with the Intra-Arterial Injection of Contrast Media
Hilal, S. K. (1966) · Radiology · doi:10.1148/86.4.615 · Cited by 142 · see citing works
Local cerebral blood volume response to carbon dioxide in man.
Greenberg, J. H., Alavi, A. A., Reivich, M., Kuhl, D., & Uzzell, B. P. (1978) · Circulation Research · doi:10.1161/01.res.43.2.324 · Cited by 129 · see citing works
Gückel, F., Brix, G., Rempp, K., Deimling, M., Röther, J., & Georgi, M. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199405000-00002 · Cited by 118 · see citing works
Simultaneous MR Acquisition of Arterial and Brain Signal‐Time Curves
Perman, W. H., Gado, M. H., Larson, K. B., & Perlmutter, J. S. (1992) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910280108 · Cited by 78 · see citing works
Local cerebral blood volume response to carbon dioxide in man.
HGreenberg, J., AAlavi, MReivich, DKuhl, & BUzzell (1978) · Circulation Research · Cited by 70 · see citing works
Quantitative assessment of cerebral blood volume by single-photon emission computed tomography.
Sabatini, U., Celsis, P., Viallard, G., Rascol, A., & Marc-Vergnes, J. P. (1991) · Stroke · doi:10.1161/01.str.22.3.324 · Cited by 54 · see citing works
Steiger, H. J., Aaslid, R., & Stooss, R. (1993) · Stroke · doi:10.1161/01.str.24.4.591 · Cited by 41 · see citing works
Rapid bolus injection of gadopentetate dimeglumine: absence of side effects in normal volunteers.
Kashanian, F. K., Goldstein, H. A., Blumetti, R. F., Holyoak, W. L., Hugo, F. P., & Dolker, M. (1990) · PubMed Central · Cited by 27 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Dynamic contrast‐enhanced MRI in clinical oncology: Current status and future directions
Padhani, A. R. (2002) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10176 · Cited by 470 · see citing works
Yarkoni, T., Barch, D. M., Gray, J. R., Conturo, T. E., & Braver, T. S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004257 · Cited by 312 · see citing works
Small, S. A., Chawla, M. K., Buonocore, M. H., Rapp, P. R., & Barnes, C. A. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400285101 · Cited by 281 · see citing works
Ogg, R. J., Langston, J. W., Haacke, E. M., Steen, R. G., & Taylor, J. S. (1999) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(99)00017-x · Cited by 205 · see citing works
Vonken, E.-J. P. A., van Osch, M. J. P., Bakker, C. J. G., & Viergever, M. A. (1999) · Journal of Magnetic Resonance Imaging · doi:10.1002/(sici)1522-2586(199908)10:2 · Cited by 176 · see citing works
Naeser, M. A., Martin, P. I., Baker, E. H., Hodge, S. M., Sczerzenie, S. E., Nicholas, M. L., Palumbo, C. L., Goodglass, H., Wingfield, A., Samaraweera, R. N., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.016 · Cited by 173 · see citing works
Dynamic magnetic resonance imaging of tumor perfusion
Collins, D. J., & Padhani, A. R. (2004) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2004.1360410 · Cited by 169 · see citing works
Thomas, A. G., Dennis, A., Rawlings, N. B., Stagg, C. J., Matthews, L., Morris, M., Kolind, S. H., Foxley, S., Jenkinson, M., Nichols, T. E., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.090 · Cited by 152 · see citing works
“• CBV is a direct measure of blood volume (Wenz et al., 1996; Lu et al., 2005; Barbier et al., 2001), thus it would obviously increase if vasculature increased, but a myelin change would not be predicted to change CBV. • SWI images show lower intensity in highly vascularized regions (Haacke et al.,…”
BackgroundMRI of healthy brain aging: A review
MacDonald, M. E., & Pike, G. B. (2021) · NMR in Biomedicine · doi:10.1002/nbm.4564 · Cited by 154 · see citing works
ApoE deficiency leads to a progressive age-dependent blood-brain barrier leakage
Hafezi-Moghadam, A., Thomas, K. L., & Wagner, D. D. (2007) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00563.2005 · Cited by 149 · see citing works
Wirestam, R., Borg, M., Brockstedt, S., Lindgren, A., Holtås, S., & Ståhlberg, F. (2001) · Acta Radiologica · doi:10.1034/j.1600-0455.2001.042002123.x · Cited by 145 · see citing works
MRI for assessing antivascular cancer treatments
Padhani, A. R. (2003) · British Journal of Radiology · doi:10.1259/bjr/15334380 · Cited by 142 · see citing works
A Fully Automated Method for Quantitative Cerebral Hemodynamic Analysis Using DSC–MRI
Bjørnerud, A., & Emblem, K. E. (2010) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2010.4 · Cited by 136 · see citing works
Reward-based decision-making and aging
Marschner, A., Mell, T., Wartenburger, I., Villringer, A., Reischies, F. M., & Heekeren, H. R. (2005) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2005.06.010 · Cited by 126 · see citing works
Essig, M., Waschkies, M., Wenz, F. K., Debus, J., Hentrich, H., & Knopp, M. V. (2003) · Radiology · doi:10.1148/radiol.2281020298 · Cited by 111 · see citing works
Fuß, M., Wenz, F. K., Scholdei, R., Essig, M., Debus, J., Knopp, M. V., & Wannenmacher, M. (2000) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(00)00590-3 · Cited by 106 · see citing works
Lythgoe, D. J., Østergaard, L., Williams, S., Cluckie, A., Buxton-Thomas, M. S., Simmons, A., & Markus, H. S. (2000) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(99)00112-5 · Cited by 99 · see citing works
Christen, T., Pannetier, N. A., Ni, W. W., Qiu, D., Moseley, M. E., Schuff, N., & Zaharchuk, G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.052 · Cited by 97 · see citing works
Lüdemann, L., Hamm, B., & Zimmer, C. (2000) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(00)00223-x · Cited by 85 · see citing works
Daulatzai, M. A. (2013) · Neurotoxicity Research · doi:10.1007/s12640-013-9407-2 · Cited by 55 · see citing works
Monitoring angiogenesis in brain using steady‐state quantification of ΔR2 with MION infusion
Dunn, J. F., Roche, M. A., Springett, R., Abajian, M. A., Merlis, J., Daghlian, C. P., Lu, S. Y., & Makki, M. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10660 · Cited by 53 · see citing works
Kao, Y., Guo, W., Wu, Y., Liu, K., Chai, W., Lin, C., Hwang, Y., Liou, A. J.-K., Wu, H., Cheng, H., et al. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10440 · Cited by 49 · see citing works
Sneider, J. T., Pope, H. G., Silveri, M. M., Simpson, N. S., Gruber, S. A., & Yurgelun-Todd, D. A. (2008) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2008.04.016 · Cited by 48 · see citing works
Bruening, R. D., Dichgans, M., Berchtenbreiter, C., Yousry, T. A., Seelos, K., Wu, R., Mayer, M., Brix, G., & Reiser, M. F. (2001) · PubMed Central · Cited by 47 · see citing works
Loss of the atypical inflammatory response in juvenile and aged rats
Campbell, S. J., Carare‐Nnadi, R., Losey, P., & Anthony, D. C. (2006) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.2006.00773.x · Cited by 43 · see citing works
Sedlacik, J., & Reichenbach, J. R. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22274 · Cited by 43 · see citing works
Altered regional blood volume in chronic cannabis smokers.
Sneider, J. T., Pope, H. G., Silveri, M. M., Simpson, N. S., Gruber, S. A., & Yurgelun-Todd, D. A. (2006) · Experimental and Clinical Psychopharmacology · doi:10.1037/1064-1297.14.4.422 · Cited by 41 · see citing works
Giacalone, G., Zanoletti, M., Contini, D., Re, R., Spinelli, L., Roveri, L., & Torricelli, A. M. (2017) · Biomedical Optics Express · doi:10.1364/boe.8.004987 · Cited by 38 · see citing works
Li, W., Xu, X., Liu, P., Strouse, J. J., Casella, J. F., Lu, H., van Zijl, P. C. M., & Qin, Q. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27972 · Cited by 34 · see citing works
Ku, T., & Choi, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048383 · Cited by 32 · see citing works
Perfusion measurement using DCE-MRI: Implications for hyperthermia
Lüdemann, L., Wust, P., & Gellermann, J. (2008) · International Journal of Hyperthermia · doi:10.1080/02656730701836954 · Cited by 32 · see citing works
Sachdev, P. S., Wen, W. X., Shnier, R., & Brodaty, H. (2004) · Journal of Neuropsychiatry · doi:10.1176/jnp.16.1.83 · Cited by 31 · see citing works
Bruening, R. D., Berchtenbreiter, C., Holzknecht, N., Essig, M., Wu, R., Simmons, A., Heuck, A. F., Maschek, A., Meusel, M., Williams, S., et al. (2000) · PubMed Central · Cited by 28 · see citing works
Wu, Y., Chou, Y., Guo, W., Yeh, T., & Hsieh, J. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21121 · Cited by 21 · see citing works
Yin, J., Sun, H., Yang, J., & Guo, Q. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085884 · Cited by 18 · see citing works
Lee, M., Cha, S., Chang, S. M., & Nelson, S. J. (2006) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20506 · Cited by 16 · see citing works
CHOU, Y., HUOTENG, M., GUO, W., Hsieh, J., & WU, Y. (2007) · Medical Image Analysis · doi:10.1016/j.media.2007.02.002 · Cited by 16 · see citing works
Lind, E., Knutsson, L., Kämpe, R., Ståhlberg, F., & Wirestam, R. (2017) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-017-0637-9 · Cited by 15 · see citing works
Observation of Reduced Homeostatic Metabolic Activity and/or Coupling in White Matter Aging
Anderson, V. C., Tagge, I., Li, X., Quinn, J. F., Kaye, J. A., BOURDETTE, D. N., Spain, R., Riccelli, L. P., Sammi, M. K., SPRINGER, C. S. J., et al. (2020) · Journal of Neuroimaging · doi:10.1111/jon.12744 · Cited by 13 · see citing works
Tracer kinetic analysis of signal time series from dynamic contrast-enhanced MR imaging
Brix, G., Lucht, R., & Griebel, J. (2006) · Biomedizinische Technik/Biomedical Engineering · doi:10.1515/bmt.2006.065 · Cited by 13 · see citing works
Prochnow, D., Beyersdorff, D., Warmuth, C., Taupitz, M., Gemeinhardt, O., & Lüdemann, L. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2005.09.010 · Cited by 13 · see citing works
Ultrasonographic Assessment of Global Cerebral Blood Volume in Healthy Adults
Doepp, F., Schreiber, S. J., Brunecker, P., & Valdueza, J. M. (2003) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/01.wcb.0000071884.63724.69 · Cited by 12 · see citing works
Kim, S., Rostrup, E., Larsson, H. B. W., Ogawa, S., & Paulson, O. B. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199906)41:6 · Cited by 267 · see citing works
Han, M., Yang, B., Fernandez, B., Lafontaine, M., Leon, P. A., Jakary, A., Burns, B. L., Morrison, M. A., Villanueva-Meyer, J. E., Chang, S. M., et al. (2020) · NMR in Biomedicine · doi:10.1002/nbm.4399 · Cited by 9 · see citing works
Saleh, M. A. A., Bloemberg, J. S., Elassaiss‐Schaap, J., & de Lange, E. C. M. (2022) · Pharmaceutical Research · doi:10.1007/s11095-022-03281-3 · Cited by 8 · see citing works
Normales Altern und seine Bildgebungskorrelate
Schuster, L., Essig, M., & Schröder, J. (2011) · Der Radiologe · doi:10.1007/s00117-010-2093-7 · Cited by 7 · see citing works
Kim, J., Shin, T.-B., Chung, J. D., Kwon, O., Choi, N., Chung, S. H., & Lim, B. (1998) · American Journal of Roentgenology · doi:10.2214/ajr.170.3.9490971 · Cited by 7 · see citing works
Multifunctional magnetic resonance imaging of cerebrovascular disease
van der Grond, J., & Mali, W. P. T. M. (1998) · European Radiology · doi:10.1007/s003300050464 · Cited by 7 · see citing works
Whole-Brain Vascular Architecture Mapping Identifies Region-Specific Microvascular Profiles In Vivo
Hohmann, A., Zhang, K., Mooshage, C. M., Jende, J. M. E., Rotkopf, L. T., Schlemmer, H., Bendszus, M., Wick, W., & Kurz, F. T. (2024) · American Journal of Neuroradiology · doi:10.3174/ajnr.a8344 · Cited by 5 · see citing works
Savelieva, T. A., Loschenov, V. B., Goryainov, S. A., Shishkina, L. V., & Aa, P. (2015) · Russian Journal of General Chemistry · doi:10.1134/s1070363215060341 · Cited by 5 · see citing works
Elschot, E. P., Backes, W. H., van den Kerkhof, M., Postma, A. A., Kroon, A. A., & Jansen, J. F. A. (2024) · Tomography · doi:10.3390/tomography10010014 · Cited by 4 · see citing works
Lu, C. F., Guo, W., Chang, F.-C., Huang, S.-R., Chou, Y.-C., & Wu, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068986 · Cited by 3 · see citing works
Lipiński, S. (2024) · Computation · doi:10.3390/computation12030054 · Cited by 3 · see citing works
Lipiński, S., & Kalicka, R. (2012) · Pomiary Automatyka Kontrola · Cited by 1 · see citing works
Chou, Y.-C., Lu, C., Guo, W., & Wu, Y. (2010) · International Journal of Biomedical Imaging · doi:10.1155/2010/360568 · Cited by 1 · see citing works
An evaluation of ischemic stroke using dynamic contrast enhanced perfusion MRI.
Yamaguchi, H., Igarashi, H., Katayama, Y., & Terashi, A. (1998) · Journal of Nippon Medical School · doi:10.1272/jnms1923.65.148 · Cited by 1 · see citing works
Miyati, T., Banno, T., Mase, M., Kasai, H., Itikawa, K., HIGUCHI, M., Isoyama, S., Tanaka, T., Shundo, H., & Imazawa, M. (1997) · Japanese Journal of Radiological Technology · doi:10.6009/jjrt.kj00001356088 · Cited by 1 · see citing works
- Authors
- Wenz, F., Rempp, K., Brix, G., Knopp, M. V., Gückel, F., Heß, T., & van Kaick, G.
- Affiliations
- German Cancer Research Center (DE)
- Corresponding author
- Wenz, Frederik
- Venue
- Magnetic Resonance Imaging
- Publisher
- Elsevier BV
- Published
- 1996-01
- Volume
- 14
- Issue
- 2
- Pages
- 157-162
- ISSN
- 0730-725X (ISSN-L)
- OpenAlex
- W2074187663
- Cited by
- 57
- References
- 18
- Citations by year
- 2024: 3 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 1 · 2017: 2 · 2015: 2 · 2014: 1 · 2013: 3 · 2012: 2
- FWCI
- 2.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Magnetic Resonance Imaging (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- regional cerebral blood volume, age-related changes, dynamic susceptibility contrast MRI, arterial input function, gray and white matter, intracranial tumors, Gd-DTPA, absolute quantification, cerebral perfusion
- MeSH terms
- Adult, Aging, Brain Neoplasms, Cerebrovascular Circulation, Contrast Media, Pentetic Acid, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Organometallic Compounds, Gadolinium DTPA
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review