Characterization of Glioma Microcirculation and Tissue Features Using Intravoxel Incoherent Motion Magnetic Resonance Imaging in a Rat Brain Model

Iima, Mami; Reynaud, Olivier; Tsurugizawa, Tomokazu; Ciobanu, Luisa; Li, Jing-Rebecca; Geffroy, Françoise; Djemaï, Boucif; Umehana, Masaki; Bihan, Denis Le

doi:10.1097/rli.0000000000000040

Cited by 74 publications

(69 citation statements)

References 24 publications

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“…With 3 different gradient encoding strategies, we acquired IVIM signals in the mouse brains from short to intermediate T D . The estimated f 1 values between 4–5% agreed with the perfusion fraction measured in other brain studies . The results indicated that the fraction of pseudo‐diffusive flow increased significantly with increasing T D , likely because as T D increases, a higher fraction of microcirculatory flow reaches the pseudo‐diffusive limit.…”

Section: Discussionsupporting

confidence: 85%

“…The estimated f 1 values between 4-5% agreed with the perfusion fraction measured in other brain studies. 45,46 The results indicated that the fraction of pseudo-diffusive flow increased significantly with increasing T D , likely because as T D increases, a higher fraction of microcirculatory flow reaches the pseudo-diffusive limit. Our results agree with a recent report by Fournet et al, 34 in which they demonstrated that D* of the slow flow component increased with T D (14-34 ms in a PGSE sequence), the fast flow component Although D blood was originally thought to be a constant, a recent study using an FC-gradient waveform showed changes in D blood when T D was increased from 40 to 100 ms, 31 which may also contribute to the T D dependency of IVIM signals in the brain.…”

Section: Discussionmentioning

confidence: 94%

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Evidence of the diffusion time dependence of intravoxel incoherent motion in the brain

Zhang

2019

Magnetic Resonance in Med

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Purpose To investigate the diffusion time (TD) dependence of intravoxel incoherent motion (IVIM) signals in the brain. Methods A 3‐compartment IVIM model was proposed to characterize 2 types of microcirculatory flows in addition to tissue water in the brain: flows that cross multiple vascular segments (pseudo‐diffusive) and flows that stay in 1 segment (ballistic) within TD. The model was first evaluated using simulated flow signals. Experimentally, flow‐compensated (FC) pulsed‐gradient spin‐echo (PGSE) and oscillating‐gradient spin‐echo (OGSE) sequences were tested using a flow phantom and then used to examine IVIM signals in the mouse brain with TD ranging from ~2.5 ms to 40 ms on an 11.7T scanner. Results By fitting the model to simulated flow signals, we demonstrated the TD dependency of the estimated fraction of pseudo‐diffusive flow and the pseudo‐diffusion coefficient (D*), which were dictated by the characteristic timescale of microcirculatory flow (τ). Flow phantom experiments validated that the OGSE and FC‐PGSE sequences were not susceptible to the change in flow velocity. In vivo mouse brain data showed that both the estimated fraction of pseudo‐diffusive flow and D* increased significantly as TD increased. Conclusion We demonstrated that IVIM signals measured in the brain are TD ‐dependent, potentially because more microcirculatory flows approach the pseudo‐diffusive limit as TD increases with respect to τ. Measuring the TD dependency of IVIM signals may provide additional information on microvascular flows in the brain.

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Section: Discussionsupporting

confidence: 85%

Section: Discussionmentioning

confidence: 94%

Evidence of the diffusion time dependence of intravoxel incoherent motion in the brain

Zhang

2019

Magnetic Resonance in Med

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“…We also corroborate the suggestion that tumor cellularity is inversely related to tumor ADC for a sample of our cases where tissue was available, whether measured by the minimum or the mean ADC. This is logical as more densely packed cells would broadly be expected to restrict diffusion, with the caveat that this coarse method of calculating ADC maps does not reflect the more subtle distinctions between intra and extracellular diffusion that others have derived using more advanced models in animals [26,27]. However it has also been shown in cerebral metastases post mortem that a dense extracellular matrix correlates with low ADC, similarly suggesting a role for the tumor-stroma interaction we discuss later in human cases [6].…”

Section: Discussionmentioning

confidence: 99%

Diffusion-weighted MRI characteristics of the cerebral metastasis to brain boundary predicts patient outcomes

et al. 2014

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BackgroundDiffusion-weighted MRI (DWI) has been used in neurosurgical practice mainly to distinguish cerebral metastases from abscess and glioma. There is evidence from other solid organ cancers and metastases that DWI may be used as a biomarker of prognosis and treatment response. We therefore investigated DWI characteristics of cerebral metastases and their peritumoral region recorded pre-operatively and related these to patient outcomes.MethodsRetrospective analysis of 76 cases operated upon at a single institution with DWI performed pre-operatively at 1.5T. Maps of apparent diffusion coefficient (ADC) were generated using standard protocols. Readings were taken from the tumor, peritumoral region and across the brain-tumor interface. Patient outcomes were overall survival and time to local recurrence.ResultsA minimum ADC greater than 919.4 × 10-6 mm2/s within a metastasis predicted longer overall survival regardless of adjuvant therapies. This was not simply due to differences between the types of primary cancer because the effect was observed even in a subgroup of 36 patients with the same primary, non-small cell lung cancer. The change in diffusion across the tumor border and into peritumoral brain was measured by the “ADC transition coefficient” or ATC and this was more strongly predictive than ADC readings alone. Metastases with a sharp change in diffusion across their border (ATC >0.279) showed shorter overall survival compared to those with a more diffuse edge. The ATC was the only imaging measurement which independently predicted overall survival in multivariate analysis (hazard ratio 0.54, 95% CI 0.3 – 0.97, p = 0.04).ConclusionsDWI demonstrates changes in the tumor, across the tumor edge and in the peritumoral region which may not be visible on conventional MRI and this may be useful in predicting patient outcomes for operated cerebral metastases.

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“…The IVIM perfusion fraction f, which is expected to correlate linearly with the (microvascular) cerebral blood volume (CBV) (8), has been shown to correlate moderately with dynamic susceptibility contrast (DSC) CBV (4)(5)(6). In addition, a positive correlation between the IVIM perfusion fraction f and the mean vessel density on histology was found in rats (9).…”

Section: Introductionmentioning

confidence: 92%

Increased brain perfusion contrast with T₂‐prepared intravoxel incoherent motion (T2prep IVIM) MRI

Federau

O’Brien

2014

NMR in Biomedicine

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The feasibility to measure brain perfusion using intravoxel incoherent motion (IVIM) MRI has been reported recently with currently clinically available technology. The method is intrinsically local and quantitative, but is contaminated by partial volume effects with cerebrospinal fluid (CSF). Signal from CSF can be suppressed by a 180° inversion recovery (180°-IR) magnetization preparation, but this also leads to strong suppression of blood and brain tissue signal. Here, we take advantage of the different T2 relaxations of blood and brain relative to CSF, and implement a T2 -prepared IVIM (T2prep IVIM) inversion recovery acquisition, which permits a recovery of between 43% and 57% of arterial and venous blood magnetization at excitation time compared with the theoretical recovery of between 27% and 30% with a standard 180°-IR. We acquired standard IVIM (IVIM), T2prep IVIM and dynamic susceptibility contrast (DSC) images at 3 T using a 32-multichannel receiver head coil in eight patients with known large high-grade brain tumors. We compared the contrast and contrast-to-noise ratio obtained in the corresponding cerebral blood volume images quantitatively, as well as subjectively by two neuroradiologists. Our findings suggest that quantitative cerebral blood volume contrast and contrast-to-noise ratio, as well as subjective lesion detection, contrast quality and diagnostic confidence, are increased with T2prep IVIM relative to IVIM and DSC.

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Characterization of Glioma Microcirculation and Tissue Features Using Intravoxel Incoherent Motion Magnetic Resonance Imaging in a Rat Brain Model

Abstract: Quantitative non-Gaussian diffusion and perfusion MRI can provide valuable information on microvasculature and tissue structure to improve characterization of brain tumors.

Cited by 74 publications

References 24 publications

Evidence of the diffusion time dependence of intravoxel incoherent motion in the brain

Evidence of the diffusion time dependence of intravoxel incoherent motion in the brain

Diffusion-weighted MRI characteristics of the cerebral metastasis to brain boundary predicts patient outcomes

Increased brain perfusion contrast with T₂‐prepared intravoxel incoherent motion (T2prep IVIM) MRI

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Characterization of Glioma Microcirculation and Tissue Features Using Intravoxel Incoherent Motion Magnetic Resonance Imaging in a Rat Brain Model

Abstract: Quantitative non-Gaussian diffusion and perfusion MRI can provide valuable information on microvasculature and tissue structure to improve characterization of brain tumors.

Cited by 74 publications

References 24 publications

Evidence of the diffusion time dependence of intravoxel incoherent motion in the brain

Evidence of the diffusion time dependence of intravoxel incoherent motion in the brain

Diffusion-weighted MRI characteristics of the cerebral metastasis to brain boundary predicts patient outcomes

Increased brain perfusion contrast with T2‐prepared intravoxel incoherent motion (T2prep IVIM) MRI

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Product

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Increased brain perfusion contrast with T₂‐prepared intravoxel incoherent motion (T2prep IVIM) MRI