Shear Stiffness of 4 Common Intracranial Tumors Measured Using MR Elastography: Comparison with Intraoperative Consistency Grading

Sakai, Naoto; Takehara, Yasuo; Yamashita, Shuhei; Ohishi, Naoki; Kawaji, Hiroshi; Sameshima, Tetsuro; Baba, Satoshi; Sakahara, Harumi; Namba, Hiroki

doi:10.3174/ajnr.a4832

Cited by 43 publications

(48 citation statements)

References 29 publications

(40 reference statements)

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“…In these studies, low grade gliomas were not included and no statistical analysis was reported for the relationship between tumor mechanical properties and tumor grade or IDH1 mutation status. A recent study demonstrated good correlation between glioma stiffness measurements and surgical assessment 19 . The results of this study are consistent with the quantitative stiffness values of gliomas reported in the literature.…”

Section: Discussionmentioning

confidence: 94%

“…Previous studies have demonstrated the feasibility of using MRE to evaluate the viscoelastic properties of brain tumors including gliomas, where brain tumors were mainly softer than normal brain and benign variants, however some tumors are stiffer than normal brain 17 and GBMs were the softest brain tumors when compared to meningiomas, vestibular schwannomas, and metastases 18, 19 . Additional work demonstrated that viscoelastic properties of GBMs were dependent on composition (e.g., necrosis or cystic cavities) and that the mechanical properties were heterogeneous with both stiff and soft regions 17, 20 .…”

Section: Introductionmentioning

confidence: 99%

“…Additional work demonstrated that viscoelastic properties of GBMs were dependent on composition (e.g., necrosis or cystic cavities) and that the mechanical properties were heterogeneous with both stiff and soft regions 17, 20 . Recent work investigated the stiffness of four common brain tumors and stated that MRE may reflect the collagenous content of tumors 19 .…”

Section: Introductionmentioning

confidence: 99%

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MR Elastography Analysis of Glioma Stiffness andIDH1-Mutation Status

Pepin¹,

McGee²,

Arani³

et al. 2017

AJNR Am J Neuroradiol

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Purpose To noninvasively evaluate gliomas with magnetic resonance elastography (MRE) to characterize the relationship of tumor stiffness with tumor grade and mutations in the IDH1 gene. Materials and Methods With institutional review board approval and following written, informed consent, tumor stiffness properties were prospectively quantified in 18 patients (mean age 42, 6 female) with histologically proven gliomas using MRE from 2014–2016. Images were acquired on a 3T MR unit with a vibration frequency of 60 Hz. Tumor stiffness was compared with unaffected contralateral white matter, across tumor grade and by IDH1 mutation status. The performance of the use of tumor stiffness to predict tumor grade and IDH1 mutation was evaluated by using Wilcoxon rank sum, one-way ANOVA and Tukey-Kramer tests. Results Gliomas were softer than healthy brain parenchyma, 2.2 kPa compared to 3.3 kPa (p < .0001) with grade IV tumors softer than grade II. Tumors with an IDH1 mutation were significantly stiffer than those with wild-type IDH1, 2.5 kPa vs. 1.6 kPa respectively (p = .007). Conclusions MRE demonstrated that gliomas were not only softer than normal brain but the degree of softening was directly correlated with tumor grade and IDH1 mutation status. Noninvasive determination of tumor grade and IDH1 mutation may result in improved stratification of patients for different treatment options and the evaluation of novel therapeutics. This work reports on the emerging field of mechanogenomics – the identification of genetic features such as IDH1 mutation using intrinsic biomechanical information.

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Section: Discussionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MR Elastography Analysis of Glioma Stiffness andIDH1-Mutation Status

Pepin¹,

McGee²,

Arani³

et al. 2017

AJNR Am J Neuroradiol

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“…The time harmonic steady state shear wave pattern is then used as input to a linear inversion of the wave equation to estimate biomechanical properties, which are then displayed in elastographic maps or elastograms . Several studies have shown that stiffness, as measured with MRE, is in good agreement with tumor consistency assessed by a neurosurgeon intraoperatively . In addition, different tumor types vary in their biomechanical properties.…”

Section: Introductionmentioning

confidence: 99%

“…[10][11][12] Several studies have shown that stiffness, as measured with MRE, is in good agreement with tumor consistency assessed by a neurosurgeon intraoperatively. 6,[13][14][15] In addition, different tumor types vary in their biomechanical properties. A general observation is that intracranial malignancies are softer than benign tumors or healthy brain parenchyma.…”

mentioning

confidence: 99%

Characterization of glioblastoma in an orthotopic mouse model with magnetic resonance elastography

et al. 2017

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Glioblastoma (GBM) is the most common primary brain tumor. It is highly malignant and has a correspondingly poor prognosis. Diagnosis and monitoring are mainly accomplished with MRI, but remain challenging in some cases. Therefore, complementary methods for tumor detection and characterization would be beneficial. Using magnetic resonance elastography (MRE), we performed a longitudinal study of the biomechanical properties of intracranially implanted GBM in mice and compared the results to histopathology. The biomechanical parameters of viscoelastic modulus, shear wave speed and phase angle were significantly lower in tumors compared with healthy brain tissue and decreased over time with tumor progression. Moreover, some MRE parameters revealed sub-regions at later tumor stages, which were not easily detectable on anatomical MRI images. Comparison with histopathology showed that softer tumor regions contained necrosis and patches of viable tumor cells. In contrast, areas of densely packed tumor cells and blood vessels identified with histology coincided with higher values of viscoelastic modulus and shear wave speed. Interestingly, the phase angle was independent from these anatomical variations. In summary, MRE depicted longitudinal and morphological changes in GBM and may prove valuable for tumor characterization in patients.

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Ex Vivo Modeling of the Tumor Microenvironment to Develop Therapeutic Strategies for Gliomas

Graber,

Dolman,

Jung

et al. 2024

Advanced Therapeutics

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Improving the prognosis for patients diagnosed with aggressive tumors remains a critical challenge in clinical oncology. One crucial aspect of addressing this challenge involves the development of preclinical models that can accurately predict the effectiveness of potential therapies for clinical application. A pivotal element in enhancing these models lies in their ability to accurately recapitulate the tumor microenvironment. In this review, the authors focus on investigating the tumor microenvironment in the context of ex vivo glioma modelling, with a specific emphasis on the extracellular matrix. The review discusses the changes that occur within the extracellular matrix of pediatric and adult gliomas. Furthermore, it explores the potential of advanced cellular models, particularly those employing bioprinting technologies, to replicate the extracellular matrix ex vivo.

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Shear Stiffness of 4 Common Intracranial Tumors Measured Using MR Elastography: Comparison with Intraoperative Consistency Grading

Abstract: BACKGROUND AND PURPOSE:The stiffness of intracranial tumors affects the outcome of tumor removal. We evaluated the stiffness of 4 common intracranial tumors by using MR elastography and tested whether MR elastography had the potential to discriminate firm tumors preoperatively.

Cited by 43 publications

References 29 publications

MR Elastography Analysis of Glioma Stiffness andIDH1-Mutation Status

MR Elastography Analysis of Glioma Stiffness andIDH1-Mutation Status

Characterization of glioblastoma in an orthotopic mouse model with magnetic resonance elastography

Ex Vivo Modeling of the Tumor Microenvironment to Develop Therapeutic Strategies for Gliomas

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