Evaluation of gliomas peritumoral diffusion and prediction of IDH1 mutation by IVIM-DWI

Gu, Taifu; Yang, Ting; Huang, Jian; Yu, Jianzhong; Ying, Hongxin; Xiao, Xinlan

doi:10.18632/aging.202751

Cited by 6 publications

(4 citation statements)

References 27 publications

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“…The AXR BBB overestimates k bo , but this is relatively small in normal‐appearing tissue 14 . For tumor regions in HGGs, the vascular density increases and the f f eq can be as large as 40%, which is in accordance with that the AXR BBB is larger than k bo measured in tumor region 27 …”

Section: Discussionsupporting

confidence: 76%

“…14 For tumor regions in HGGs, the vascular density increases and the f f eq can be as large as 40%, which is in accordance with that the AXR BBB is larger than k bo measured in tumor region. 27 In the HGGs, the DCE-MRI and VEXI showed consistent and similar decreases in WEX BBB speeds in the tumor compared with those in the cNAWM. The slower WEX BBB in the HGG was consistent with that of previous studies using DCE-MRI.…”

Section: Discussionmentioning

confidence: 64%

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The Consistence of Dynamic Contrast‐Enhanced MRI and Filter‐Exchange Imaging in Measuring Water Exchange Across the Blood–Brain Barrier in High‐Grade Glioma

Wang

et al. 2023

Magnetic Resonance Imaging

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BackgroundWater exchange across blood–brain barrier (BBB) (WEXBBB) is an emerging biomarker of BBB dysfunction with potential applications in many brain diseases. Several MRI methods have been proposed to measure WEXBBB, but evidence remains scarce whether different methods can produce comparable WEXBBB.PurposeTo explore whether dynamic contrast‐enhanced (DCE)‐MRI and vascular water exchange imaging (VEXI) could produce comparable WEXBBB in high‐grade glioma (HGG) patients.Study TypeProspective cross‐sectional.Subjects13 HGG patients (58.4 ± 9.4 years, 9 females, 4 WHO III and 9 WHO IV).Field Strength/SequenceA 3 T, spoiled gradient‐recalled‐echo DCE‐MRI and VEXI containing two pulsed‐gradient spin‐echo blocks separated by a mixing block.AssessmentsThe enhanced tumor and contralateral normal‐appearing white matter (cNAWM) volume‐of‐interests (VOIs) were drew by two neuroradiologists. And whole‐brain NAWM and normal‐appearing gray matter (NAGM) without tumor‐affected regions were segmented by automated segmentation algorithm in FSL.Statistical TestsStudent's t‐test was used to evaluate parameters difference between cNAWM and tumor, NAGM and NAWM, respectively. The correlation between vascular water efflux rate constant (kbo) from DCE‐MRI and apparent exchange rate across BBB (AXRBBB) from VEXI was evaluated by Pearson correlation. P < 0.05 was considered statistically significant.ResultsCompared with cNAWM, both kbo and AXRBBB were significantly reduced in tumor (kbo = 3.50 ± 1.18 sec−1 vs. 1.03 ± 0.75 sec−1; AXRBBB = 3.54 ± 1.11 sec−1 vs. 1.94 ± 1.04 sec−1). Both kbo and AXRBBB showed significantly higher values in NAWM than NAGM (kbo = 3.50 ± 0.59 sec−1 vs. 2.10 ± 0.56 sec−1; AXRBBB = 3.35 ± 0.77 sec−1 vs. 2.07 ± 0.52 sec−1). The VOI‐averaged kbo and AXRBBB were also linearly correlated in tumor, NAWM, and NAGM (r = 0.59).Data ConclusionDCE‐MRI and VEXI showed comparable and correlated WEXBBB in HGG patients, suggesting that the consistence and reliability of these two MRI methods in measuring WEXBBB.Evidence Level2.Technical EfficacyStage 1.

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Section: Discussionsupporting

confidence: 76%

Section: Discussionmentioning

confidence: 64%

The Consistence of Dynamic Contrast‐Enhanced MRI and Filter‐Exchange Imaging in Measuring Water Exchange Across the Blood–Brain Barrier in High‐Grade Glioma

Wang

et al. 2023

Magnetic Resonance Imaging

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“…Third, the habitat analysis approach involving diffusion model development could only explore the heterogeneity of glioma in a single dimension, as there was a lack of information related to perfusion models or metabolic images. We have considered perfusion modeling for inclusion in subsequent studies ( 33 ). Finally, some new state-of-the-art diffusion models should be tried to be analyzed, even if short-term studies do not prove their practical superiority ( 34 ).…”

Section: Discussionmentioning

confidence: 99%

Heterogeneity matching and IDH prediction in adult-type diffuse gliomas: a DKI-based habitat analysis

Liu,

Wang,

Wang

et al. 2023

Front. Oncol.

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ObjectiveTo explain adult-type diffuse gliomas heterogeneity through diffusion kurtosis imaging-based habitat characteristics and develop and validate a comprehensive model for predicting isocitrate dehydrogenase (IDH) status.Materials and methodsIn this prospective secondary analysis, 103 participants (mean age, 52 years; range, 21-77; 54 [52%] male) pathologically diagnosed with adult-type diffuse gliomas were enrolled between June 2018 and February 2022. The Otsu method was used to generate habitat maps with mean diffusivity (MD) and mean kurtosis (MK) for a total of 4 subhabitats containing 16 habitat features. Habitat heatmaps were created based on the Pearson correlation coefficient. The Habitat imAging aNd clinicraD INtegrated prEdiction SyStem (HANDINESS) was created by combining clinical features, conventional MRI morphological features, and habitat image features. ROC, calibration curve, and decision curve analyses were used to select the optimal model after 32 pipelines for model training and validation.ResultsIn the restricted diffusion and high-density subhabitat, MK was highly correlated with MD (R2 = 0.999), volume (0.608) and percentage of volume (0.663), and this region had the highest MK value (P<.001). The unrestricted diffusion and low-density subhabitat had the highest MD value (P<.001). When MK was less than the Otsu threshold, there was still a difference between restricted diffusion and low-density and unrestricted diffusion and low-density subhabitats (P<.01). The HANDINESS enabled more accurate prediction of the IDH status in the training (AUC=0.951 [0.902-0.987]) and internal validation cohorts (0.938 [0.881-0.949]). AUC values for single-modality models and independent factors ranged from 0.593 to 0.916. Calibration and decision curve analyses showed that the HANDINESS demonstrated a high level of clinical applicability and predictive consistency.ConclusionDiffusion kurtosis imaging-based habitat analysis provides additional important information on microscopic tumor spatial heterogeneity. The HANDINESS has higher diagnostic performance and robustness than single-modality models.

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“…Also, like ASL [11], IVIM allows for the characterization of microvascular perfusion within the tumor. Previous studies have already reported the success of IVIM in glioma grading [12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Feasibility of intravoxel incoherent motion in the assessment of tumor microvasculature and blood–brain barrier integrity: a case-based evaluation of gliomas

Paschoal

Zotin

Costa

et al. 2021

Magn Reson Mater Phy

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Objective To evaluate the feasibility of intravoxel incoherent motion (IVIM) in assessing blood-brain barrier (BBB) integrity and microvasculature in tumoral tissue of glioma patients. Methods Images from 8 high-grade and 4 low-grade glioma patients were acquired on a 3 T MRI scanner. Acquisition protocol included pre-and post-contrast T1-and T2-weighted imaging, FLAIR, dynamic susceptibility contrast (DSC), and susceptibility-weighted imaging (SWI). In addition, IVIM was acquired with 15 b-values and fitted under the non-negative least square (NNLS) model to output the diffusion (D) and pseudo-diffusion (D*) coefficients, perfusion fraction (f), and f times D* (fD*) maps. Results IVIM perfusion-related maps were sensitive to (1) blood flow and perfusion alterations within the microvasculature of brain tumors, in agreement with intra-tumoral susceptibility signal (ITSS); (2) enhancing areas of BBB breakdown in agreement with DSC maps as well as areas of BBB abnormality that was not detected on DSC maps; (3) enhancing perfusion changes within edemas; (4) detecting early foci of increased perfusion within low-grade gliomas. ConclusionThe results suggest IVIM may be a promising approach to delineate tumor extension and progression in size, and to predict histological grade, which are clinically relevant information that characterize tumors and guide therapeutic decisions in patients with glioma.

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Evaluation of gliomas peritumoral diffusion and prediction of IDH1 mutation by IVIM-DWI

Cited by 6 publications

References 27 publications

The Consistence of Dynamic Contrast‐Enhanced MRI and Filter‐Exchange Imaging in Measuring Water Exchange Across the Blood–Brain Barrier in High‐Grade Glioma

The Consistence of Dynamic Contrast‐Enhanced MRI and Filter‐Exchange Imaging in Measuring Water Exchange Across the Blood–Brain Barrier in High‐Grade Glioma

Heterogeneity matching and IDH prediction in adult-type diffuse gliomas: a DKI-based habitat analysis

Feasibility of intravoxel incoherent motion in the assessment of tumor microvasculature and blood–brain barrier integrity: a case-based evaluation of gliomas

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