Vascular Permeability: Quantitative Measurement with Double-Echo Dynamic MR Imaging—Theory and Clinical Application

Uematsu, Hideyuki; Maeda, Masayuki; Sadato, Norihiro; Matsuda, Tsuyoshi; Ishimori, Yoshiyuki; Koshimoto, Yoshio; Yamada, Hiroki; Kimura, Hirohiko; Kawamura, Yasutaka; Matsuda, Tetsuya; Hayashi, Nobushige; Yonekura, Yoshiharu; Ishii, Yasushi

doi:10.1148/radiology.214.3.r00mr15912

Cited by 71 publications

(43 citation statements)

References 20 publications

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“…The best documented of these is the measurement of regional cerebral blood volume (CBV) using dynamic contrast enhanced MRI. Several groups have demonstrated a clear relationship between CBV and histological grade in cerebral glioma and in a number of other tumour types (6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16). Areas of increased CBV within the enhancing components of gliomas correspond well with areas of increased fluorodeoxyglucose uptake on PET and with histological evidence of tumoral dedifferentiation (17).…”

Section: Introductionmentioning

confidence: 99%

Comparison of cerebral blood volume maps generated fromT₂* andT₁weighted MRI data in intra-axial cerebral tumours

Haroon

Tf²,

Zhu³

et al. 2007

BJR

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Type of Manuscript: ORIGINAL RESEARCH ABSTRACTPurpose: To compare parametric maps, measured values and value distributions of cerebral blood volume (CBV) derived from 1) first pass T 1 -weighted dynamic contrast-enhanced (DCE) data (T 1 -CBV) and 2) T 2 *-weighted DCE data (T 2 *-CBV) in patients with intraaxial tumours. Materials and Methods: Sequential T 1 -and T 2 *-weighted DCE-MRI acquisitions were performed in 9 patients with cerebral neoplasms. CBV maps were calculated from T 2 *-weighted data using a conventional curve fitting technique and from T 1 -weighted first pass data using the recently described leakage profile model. Regions of interest were manually drawn around enhancing tumour tissue on matched slices and median tumour values and conspicuity indexes of CBV from the two techniques were compared. Pixel-by-pixel scattergrams of values in normal brain in a representative matched slice were produced for each case. 3D correlation renderings from both DCE-MRI datasets of a representative case were also produced for visual comparison. Results: Distortion of blood vessels and around susceptibility interfaces was evident on T 2 *-CBV but not on T 1 -CBV maps. Median ROI T 1 -and T 2 *-CBV measurements showed good correlation (r=0.667,p<0.05) in enhancing tumour, and there was no significant difference in conspicuity. Pixel-by-pixel comparison showed excellent correlation within normal brain (r=0.96,p<0.001). 3D renderings from T 1 -weighted data were visually superior. Conclusion: Leakage-free T 1 -CBV maps correlate well with conventionally generated T 2 *-CBV maps, both in terms of median measurements from tumour tissue and visual distribution of blood vessels. T 1 -CBV maps do not suffer from the susceptibility artefacts seen in T 2 *-CBV maps and offer higher through plane spatial resolution.2

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Section: Introductionmentioning

confidence: 99%

Comparison of cerebral blood volume maps generated fromT₂* andT₁weighted MRI data in intra-axial cerebral tumours

Haroon

Tf²,

Zhu³

et al. 2007

BJR

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“…For the measurement of CBF or CBV, T 1 -interference may be minimized by data truncation (12) or corrected by modeling (13). It can be eliminated fully with a dual-echo sequence (14), but none of these approaches corrects for the loss in susceptibility contrast. No method has been proposed to minimize the error in the measurement of BBB-leakage itself (15)(16)(17).…”

mentioning

confidence: 99%

Quantification of cerebral blood flow, cerebral blood volume, and blood–brain‐barrier leakage with DCE‐MRI

Sourbron

Ingrisch

Siefert

et al. 2009

Magnetic Resonance in Med

236

251

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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 twocompartment modeling approach was developed, which applies both to tissues with an intact and with a broken Blood-BrainBarrier (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 bolustracking in the brain.

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“…7 DDE-R 2 * I is suitable for evaluating VBV and has been successfully applied in previous research. [7][8][9][10][11][12] Our aims were to demonstrate the reduction in VBV of uterineˆbroids after GnRHa administration using DDE-R 2 * I and to evaluate the value of DDE-R 2 *I as a predictor of such reduction.…”

Section: Introductionmentioning

confidence: 99%

Reduction in the Vascular Bed Volume of Uterine Fibroids after Hormonal Treatment: Evaluation with Dynamic Double-Echo R2* Imaging

et al. 2012

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Purpose: To demonstrate the reduction in vascular bed volume (VBV) of uterineˆbroids after administration of gonadotropin-releasing hormone analogue (GnRHa) using magnetic resonance (MR) imaging including dynamic double-echo R 2 * imaging (DDE-R 2 *I) and to assess the value of DDE-R 2 *I as a predictor of such reduction.Methods: Twenty-one women with uterine intramuralˆbroids underwent MR imaging including DDE-R 2 * I before GnRHa treatment. DDE-R 2 * I was acquired using a single-section, double-echo, fast spoiled gradient recalled acquisition in the steady state (SPGR) sequence. We calculated the area under the curve (AUC) of the signal intensity on R 2 *I within a 3×3-cm 2 region of interest that served to represent the VBV. We repeated MR imaging after 2 administrations of GnRHa and repeated image analyses. We statistically analyzed correlations between (A) pre-treatment AUC (AUC(pre)) and AUC reduction and (B) AUC(pre) and volume reduction.Results: The interval between the 2 MR studies ranged from 56 to 119 days (mean: 80.4 days). The average volume of theˆbroids before GnRHa treatment was 647.8 mL compared with 463.4 mL after the therapy (decreased by an average of 28.5z; Pº0.0001). Meanwhile, measured AUC was reduced by 55.3z (483.4 vs. 206.5; Pº0.0001). AUC(pre) correlated with volume reduction (r＝0.68), but not AUC reduction.Conclusions: We conˆrmed reduction in the VBV ofˆbroids using DDE-R 2 * I. The measurement of AUC(pre) on DDE-R 2 *I aids prediction ofˆbroid volume reduction but correlates poorly with the percentage of AUC reduction.

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Vascular Permeability: Quantitative Measurement with Double-Echo Dynamic MR Imaging—Theory and Clinical Application

Cited by 71 publications

References 20 publications

Comparison of cerebral blood volume maps generated fromT₂* andT₁weighted MRI data in intra-axial cerebral tumours

Comparison of cerebral blood volume maps generated fromT₂* andT₁weighted MRI data in intra-axial cerebral tumours

Quantification of cerebral blood flow, cerebral blood volume, and blood–brain‐barrier leakage with DCE‐MRI

Reduction in the Vascular Bed Volume of Uterine Fibroids after Hormonal Treatment: Evaluation with Dynamic Double-Echo R2* Imaging

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Vascular Permeability: Quantitative Measurement with Double-Echo Dynamic MR Imaging—Theory and Clinical Application

Cited by 71 publications

References 20 publications

Comparison of cerebral blood volume maps generated fromT2* andT1weighted MRI data in intra-axial cerebral tumours

Comparison of cerebral blood volume maps generated fromT2* andT1weighted MRI data in intra-axial cerebral tumours

Quantification of cerebral blood flow, cerebral blood volume, and blood–brain‐barrier leakage with DCE‐MRI

Reduction in the Vascular Bed Volume of Uterine Fibroids after Hormonal Treatment: Evaluation with Dynamic Double-Echo R2* Imaging

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Comparison of cerebral blood volume maps generated fromT₂* andT₁weighted MRI data in intra-axial cerebral tumours

Comparison of cerebral blood volume maps generated fromT₂* andT₁weighted MRI data in intra-axial cerebral tumours