Consistency of normalized cerebral blood volume values in glioblastoma using different leakage correction algorithms on dynamic susceptibility contrast magnetic resonance imaging data without and with preload

Hedderich, Dennis M.; Kluge, Anne; Pyka, Thomas; Zimmer, Claus; Kirschke, Jan S.; Wiestler, Benedikt; Preibisch, Christine

doi:10.1016/j.neurad.2018.04.006

Cited by 18 publications

(20 citation statements)

References 25 publications

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“…The Omega HP gradients allow a maximum amplitude of 45 mT/m and slew rate of 200 T/m/s. In order to calculate mq-BOLD-derived rOEF, the MRI protocol comprised quantitative mapping of intrinsic and effective transverse relaxation times T 2 and T2 * together with DSC MRI for rCBV assessment 37,38 as described previously. 1 T 1 -weighted magnetization prepared rapid gradient echo (MPRAGE) and T 2 -weighted fluid-attenuated inversion recovery (FLAIR) data were acquired to facilitate brain tissue segmentation and screening for lesions, respectively.…”

Section: Methodsmentioning

confidence: 99%

“…18 DSC data were corrected for leakage contributions based on a reference curve technique 47 and processed as described previously. 37,38 Accordingly, DSC data were filtered using a 3D Gaussian spatiotemporal filter-kernel of 3-mm full width at half maximum (FWHM) with time as the third dimension. Relative CBV (rCBV) was calculated by first-pass integration of the area under the leakage corrected ÁR2 Ã (t) curve.…”

Section: Data Preprocessing and Parameter Calculationmentioning

confidence: 99%

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Characterizing white matter fiber orientation effects on multi-parametric quantitative BOLD assessment of oxygen extraction fraction

Kaczmarz

Göttler

Zimmer

et al. 2019

J Cereb Blood Flow Metab

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Relative oxygen extraction fraction (rOEF) is a fundamental indicator of cerebral metabolic function. An easily applicable method for magnetic resonance imaging (MRI) based rOEF mapping is the multi-parametric quantitative blood oxygenation level dependent (mq-BOLD) approach with separate acquisitions of transverse relaxation times [Formula: see text] and T2 and dynamic susceptibility contrast (DSC) based relative cerebral blood volume (rCBV). Given that transverse relaxation and rCBV in white matter (WM) strongly depend on nerve fiber orientation, mq-BOLD derived rOEF is expected to be affected as well. To investigate fiber orientation related rOEF artefacts, we present a methodological study characterizing anisotropy effects of WM as measured by diffusion tensor imaging (DTI) on mq-BOLD in 30 healthy volunteers. Using a 3T clinical MRI-scanner, we performed a comprehensive correlation of all parameters ([Formula: see text], T2, [Formula: see text], rCBV, rOEF, where [Formula: see text]=1/[Formula: see text]–1/T2) with DTI-derived fiber orientation towards the main magnetic field (B0). Our results confirm strong dependencies of transverse relaxation and rCBV on the nerve fiber orientation towards B0, with anisotropy-driven variations up to 37%. Comparably weak orientation-dependent variations of mq-BOLD derived rOEF (3.8%) demonstrate partially counteracting influences of [Formula: see text] and rCBV effects, possibly suggesting applicability of rOEF as an oxygenation sensitive biomarker. However, unresolved issues warrant caution when applying mq-BOLD to WM.

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Section: Methodsmentioning

confidence: 99%

Section: Data Preprocessing and Parameter Calculationmentioning

confidence: 99%

Characterizing white matter fiber orientation effects on multi-parametric quantitative BOLD assessment of oxygen extraction fraction

Kaczmarz

Göttler

Zimmer

et al. 2019

J Cereb Blood Flow Metab

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“…was calculated. DSC data were processed employing leakage correction 39,50 to calculate CBV maps, which were normalized to CBV ¼ 2.5% in normal appearing WM (NAWM) 51 yielding rCBV. Using the mq-BOLD approach, 27 rOEF was calculated as rOEF…”

Section: Image Analysismentioning

confidence: 99%

Hemodynamic impairments within individual watershed areas in asymptomatic carotid artery stenosis by multimodal MRI

Kaczmarz

Göttler

Petr

et al. 2020

J Cereb Blood Flow Metab

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Improved understanding of complex hemodynamic impairments in asymptomatic internal carotid artery stenosis (ICAS) is crucial to better assess stroke risks. Multimodal MRI is ideal for measuring brain hemodynamics and has the potential to improve diagnostics and treatment selections. We applied MRI-based perfusion and oxygenation-sensitive imaging in ICAS with the hypothesis that the sensitivity to hemodynamic impairments will improve within individual watershed areas (iWSA). We studied cerebral blood flow (CBF), cerebrovascular reactivity (CVR), relative cerebral blood volume (rCBV), relative oxygen extraction fraction (rOEF), oxygen extraction capacity (OEC) and capillary transit-time heterogeneity (CTH) in 29 patients with asymptomatic, unilateral ICAS (age 70.3 ± 7.0 y) and 30 age-matched healthy controls. In ICAS, we found significant impairments of CBF, CVR, rCBV, OEC, and CTH (strongest lateralization ΔCVR = –24%), but not of rOEF. Although the spatial overlap of compromised hemodynamic parameters within each patient varied in a complex manner, most pronounced changes of CBF, CVR and rCBV were detected within iWSAs (strongest effect ΔCVR = +117%). At the same time, CTH impairments were iWSA independent, indicating widespread dysfunction of capillary-level oxygen diffusivity. In summary, complementary MRI-based perfusion and oxygenation parameters offer deeper perspectives on complex microvascular impairments in individual patients. Furthermore, knowledge about iWSAs improves the sensitivity to hemodynamic impairments.

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“…Spatial coregistration of different modalities and segmentation of anatomical images for gray matter (GM), white matter (WM) and CSF were conducted using SPM12 (www.fil.ion.ucl.ac.uk/ spm) with standard parameter settings. Leakage-corrected CBV values were obtained using a reference curve approach and numerical integration [23][24][25]. Relative CBV (rCBV) values were calculated by assuming healthy WM values of 2.5% [26].…”

Section: Image Processingmentioning

confidence: 99%

Imaging glioma biology: spatial comparison of amino acid PET, amide proton transfer, and perfusion-weighted MRI in newly diagnosed gliomas

Schön

Cabello

Liesche‐Starnecker

et al. 2020

Eur J Nucl Med Mol Imaging

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Purpose Imaging glioma biology holds great promise to unravel the complex nature of these tumors. Besides well-established imaging techniques such O-(2-[18F]fluoroethyl)-L-tyrosine (FET)-PET and dynamic susceptibility contrast (DSC) perfusion imaging, amide proton transfer-weighted (APTw) imaging has emerged as a promising novel MR technique. In this study, we aimed to better understand the relation between these imaging biomarkers and how well they capture cellularity and vascularity in newly diagnosed gliomas. Methods Preoperative MRI and FET-PET data of 46 patients (31 glioblastoma and 15 lower-grade glioma) were segmented into contrast-enhancing and FLAIR-hyperintense areas. Using established cutoffs, we calculated hot-spot volumes (HSV) and their spatial overlap. We further investigated APTw and CBV values in FET-HSV. In a subset of 10 glioblastoma patients, we compared cellularity and vascularization in 34 stereotactically targeted biopsies with imaging. Results In glioblastomas, the largest HSV was found for APTw, followed by PET and CBV (p < 0.05). In lower-grade gliomas, APTw-HSV was clearly lower than in glioblastomas. The spatial overlap of HSV was highest between APTw and FET in both tumor entities and regions. APTw correlated significantly with cellularity, similar to FET, while the association with vascularity was more pronounced in CBV and FET. Conclusions We found a relevant spatial overlap in glioblastomas between hotspots of APTw and FET both in contrast-enhancing and FLAIR-hyperintense tumor. As suggested by earlier studies, APTw was lower in lower-grade gliomas compared with glioblastomas. APTw meaningfully contributes to biological imaging of gliomas.

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Consistency of normalized cerebral blood volume values in glioblastoma using different leakage correction algorithms on dynamic susceptibility contrast magnetic resonance imaging data without and with preload

Cited by 18 publications

References 25 publications

Characterizing white matter fiber orientation effects on multi-parametric quantitative BOLD assessment of oxygen extraction fraction

Characterizing white matter fiber orientation effects on multi-parametric quantitative BOLD assessment of oxygen extraction fraction

Hemodynamic impairments within individual watershed areas in asymptomatic carotid artery stenosis by multimodal MRI

Imaging glioma biology: spatial comparison of amino acid PET, amide proton transfer, and perfusion-weighted MRI in newly diagnosed gliomas

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