In vivo regional cerebral blood volume: quantitative assessment with 3D T1-weighted pre- and postcontrast MR imaging.

Kuppusamy, K.; Lin, Wen-Shin; Cizek, G R; Haacke, E. Mark

doi:10.1148/radiology.201.1.8816529

Cited by 93 publications

(93 citation statements)

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“…The observed decline of the GM-WM contrast (CBV GM /CBV WM and CBF GM /CBF WM ) with age has been reported previously (1). In comparison to literature values from different modalities ( 15 O PET, Xe CT, DSC-MRI, T 1 -weighted MRI, I CT) (1,(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28), which provide CBV and CBF values listed in Table 2, roughly, a factor 4 overestimation is observed.…”

Section: Cbv and Cbf In Gray/white Mattersupporting

confidence: 75%

Identifying systematic errors in quantitative dynamic‐susceptibility contrast perfusion imaging by high‐resolution multi‐echo parallel EPI

et al. 2006

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Several obstacles usually confound a straightforward perfusion analysis using dynamicsusceptibility contrast-based magnetic resonance imaging (DSC-MRI). In this work, it became possible to eliminate some of these sources of error by combining a multiple gradient-echo technique with parallel imaging (PI): first, the large dynamic range of tracer concentrations could be covered satisfactorily with multiple echo times (TE) which would otherwise result in overestimation of image magnitude in the presence of noise. Second, any bias from T 1 relaxation could be avoided by fitting to the signal magnitude of multiple TEs. Finally, with PI, a good tradeoff can be achieved between number of echoes, brain coverage, temporal resolution and spatial resolution. The latter reduces partial voluming, which could distort calculation of the arterial input function. Having ruled out these sources of error, a 4-fold overestimation of cerebral blood volume and flow remained, which was most likely due to the completely different relaxation mechanisms that are effective in arterial voxels compared with tissue. Hence, the uniform tissueindependent linear dependency of relaxation rate upon tracer concentration, which is usually assumed, must be questioned. Therefore, DSC-MRI requires knowledge of the exact dependency of transverse relaxation rate upon tracer concentration in order to calculate truly quantitative perfusion maps.

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Section: Cbv and Cbf In Gray/white Mattersupporting

confidence: 75%

Identifying systematic errors in quantitative dynamic‐susceptibility contrast perfusion imaging by high‐resolution multi‐echo parallel EPI

et al. 2006

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“…Recirculation presents a particularly difficult challenge for measurement of CBV by bolus tracking techniques, especially when CBV is low and the mean transit time is prolonged so that extrapolation of the bolus curve is particularly uncertain. On the other hand, steady-state experiments require 20 min for complete dispersal into the entire volume of distribution for the contrast agent, giving rise to issues such as subject sedation, crossing of small contrast molecules across the blood-brain barrier, and glomerular filtration (13,14,(32)(33)(34). These problems are avoided by use of the short infusion.…”

Section: Discussionmentioning

confidence: 99%

“…This problem is greatly compounded if a T 2 -weighted spin echo sequence is used since this is much less sensitive to signal change in voxels with larger blood vessels (12). It is possible to measure CBV directly from the ratio of steady-state signal changes of T 1 -weighted MR images after injection of contrast agents, but this requires 20 min of scan time so that some form of anesthesia is required (7,13,14). Thus, achieving a practical, accurate, and independent estimate of CBV by MRI remains a formidable task and further progress is desirable.…”

mentioning

confidence: 99%

Cerebral blood volume measurements by rapid contrast infusion and T‐weighted echo planar MRI

Tudorica

Li²,

Hospod³

et al. 2002

Magnetic Resonance in Med

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Cerebral blood volume (CBV) provides information complementary to that of cerebral blood flow in cerebral ischemia, tumors, and other conditions. We have developed an alternative theory and method for measuring CBV based on dynamic imaging by MRI or CT during a short contrast infusion. This method avoids several limitations of traditional approaches that involve waiting for steady state or measuring the area under the curve (AUC) during bolus contrast injection. Anesthetized dogs were studied by T* 2 -weighted echo planar imaging during gadolinium-DTPA infusions lasting 30 -60 sec. CBV was calculated from the ratio of the signal changes in tissue and artery. Method responsiveness was compared to AUC measurements using the vasodilator acepromazine. The ratio of signal change in tissue to that in artery rapidly approached an asymptotic value even while the amount of contrast in artery continued to increase. Using 30-sec infusions, the mean (؎SD) of CBV for control animals was 3.6 ؎ 0.9 ml blood/100 g tissue in gray matter and 2.3 ؎ 0.8 ml blood/100 g tissue in white matter (ratio ‫؍‬ 1.6). Acepromazine increased CBV to 5.7 ؎ 1.5 ml blood/100 g tissue in gray matter and 3.1 ؎ 0.8 ml blood/100 g tissue in white matter (ratio ‫؍‬ 2.0). AUC measurements after bolus injection yielded similar values for control animals but failed to demonstrate any change after acepromazine. It is possible to measure CBV using dynamic MRI or CT during 30 -60-sec contrast infusions. This method may be more sensitive to changes in CBV than traditional AUC methods.

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“…The IR LL EPI images were used to obtain estimates of T1 changes in normal white matter, before and after the injection of a T1-shortening contrast agent. These estimates, along with a careful modeling of the intravascular to extravascular water exchange, allowed quantitation of cerebral blood volume from the steady-state (CBV SS )-that is, the distribution phase of the contrast agent (14)(15)(16)(17). From DSC MR imaging analysis, relative CBF (rCBF) and relative CBV (rCBV) were computed by using singular value decomposition as described in Ostergaard et al (8).…”

Section: Pet Protocolmentioning

confidence: 99%

Cerebrovascular Occlusive Disease: Quantitative Cerebral Blood Flow Using Dynamic Susceptibility Contrast MR Imaging Correlates with Quantitative H₂[¹⁵O] PET

et al. 2013

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Purpose:To compare quantitative values of cerebral blood flow (CBF) derived from dynamic susceptibility contrast (DSC) magnetic resonance (MR) imaging with reference standard positron emission tomography (PET) in patients with confirmed cerebrovascular occlusive disease. Materials and Methods:Local institutional review board approval and informed consent were obtained for a prospective study of 18 patients (six men, 12 women; age range, 28-71 years; mean age, 45 years 6 10.4 [standard deviation]) with angiographically confirmed Moyamoya (n = 8) or internal carotid artery occlusions (n = 10). DSC MR images and oxygen 15-labeled water (H 2 [15 O]) PET images were acquired on the same day. DSC images were postprocessed to yield parametric images of CBF (in mL/100 g/min), coregistered, and analyzed using grid-based regions of interest. Mean values of CBF in each region of interest from MR imaging and PET data sets were compared. Correlations for each patient were determined and overall agreement between pooled MR imaging and PET CBF was reported using linear regression analysis and Bland-Altman plots. Results:Strong correlations (r 2  0.55) were found between MR imaging and PET CBF values in all patients. Use of the bookend approach was found to underestimate CBF predictably across the patient cohort (mean slope, 0.82; standard deviation, 0.18; slope of aggregated data, 0.75). This allowed for a simple rescaling of MR imaging values producing strong agreement with PET values in the aggregated data (r 2 = 0.66; slope = 1.00; intercept = 0.00). Conclusion:The

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In vivo regional cerebral blood volume: quantitative assessment with 3D T1-weighted pre- and postcontrast MR imaging.

Abstract: rCBV maps can be obtained in a standard clinical setting and can be used to reveal information on local blood volume.

Cited by 93 publications

References 0 publications

Identifying systematic errors in quantitative dynamic‐susceptibility contrast perfusion imaging by high‐resolution multi‐echo parallel EPI

Identifying systematic errors in quantitative dynamic‐susceptibility contrast perfusion imaging by high‐resolution multi‐echo parallel EPI

Cerebral blood volume measurements by rapid contrast infusion and T‐weighted echo planar MRI

Cerebrovascular Occlusive Disease: Quantitative Cerebral Blood Flow Using Dynamic Susceptibility Contrast MR Imaging Correlates with Quantitative H₂[¹⁵O] PET

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In vivo regional cerebral blood volume: quantitative assessment with 3D T1-weighted pre- and postcontrast MR imaging.

Abstract: rCBV maps can be obtained in a standard clinical setting and can be used to reveal information on local blood volume.

Cited by 93 publications

References 0 publications

Identifying systematic errors in quantitative dynamic‐susceptibility contrast perfusion imaging by high‐resolution multi‐echo parallel EPI

Identifying systematic errors in quantitative dynamic‐susceptibility contrast perfusion imaging by high‐resolution multi‐echo parallel EPI

Cerebral blood volume measurements by rapid contrast infusion and T‐weighted echo planar MRI

Cerebrovascular Occlusive Disease: Quantitative Cerebral Blood Flow Using Dynamic Susceptibility Contrast MR Imaging Correlates with Quantitative H2[15O] PET

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Product

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Cerebrovascular Occlusive Disease: Quantitative Cerebral Blood Flow Using Dynamic Susceptibility Contrast MR Imaging Correlates with Quantitative H₂[¹⁵O] PET