Non-invasive characterization of intracranial tumors by magnetic resonance elastography

Simon, Martin; Guo, Jing; Papazoglou, Sebastian; Scholand-Engler, Harald G.; Erdmann, Christian; Melchert, Uwe H.; Bonsanto, Matteo M.; Braun, Jürgen; Petersen, Dirk; Sack, Ingolf; Wuerfel, Jens

doi:10.1088/1367-2630/15/8/085024

Cited by 49 publications

(61 citation statements)

References 30 publications

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“…Several groups have recently characterized tumors using MRE (Reiss-Zimmermann et al , 2014; Simon et al , 2013; Murphy et al , 2013; Sahebjavaher et al , 2015; Pepin et al , 2014; Li et al , 2014). A comprehensive MRE study of different types of human brain tumor, including glioblastoma, anaplastic astrocytoma, meningioma, and cerebral metastasis, showed different mechanical properties among these tumors (Reiss-Zimmermann et al , 2014).…”

Section: Discussionmentioning

confidence: 99%

“…A comprehensive MRE study of different types of human brain tumor, including glioblastoma, anaplastic astrocytoma, meningioma, and cerebral metastasis, showed different mechanical properties among these tumors (Reiss-Zimmermann et al , 2014). In several of these studies, the tumors were found to be softer, i.e., to have a lower shear modulus, than healthy reference tissue (Simon et al , 2013; Reiss-Zimmermann et al , 2014). A recent human MRE study found that, with one exception, glioblastoma tissue is softer than healthy brain tissue (Simon et al , 2013).…”

Section: Discussionmentioning

confidence: 99%

“…In several of these studies, the tumors were found to be softer, i.e., to have a lower shear modulus, than healthy reference tissue (Simon et al , 2013; Reiss-Zimmermann et al , 2014). A recent human MRE study found that, with one exception, glioblastoma tissue is softer than healthy brain tissue (Simon et al , 2013). In another recent study, ex vivo mechanical testing of brain tumor tissue confirmed its relative softness (Pogoda et al , 2014).…”

Section: Discussionmentioning

confidence: 99%

“…MRE can detect differences in tumor stiffness relative to surrounding tissue (Reiss-Zimmermann et al, 2014; Simon et al, 2013; Xu et al, 2007; Krouskop et al, 1998; McKnight et al, 2002; Sinkus et al, 2005; Barton et al, 1999; Venkatesh et al, 2008) and has been applied clinically to diagnose liver fibrosis (Yin et al , 2007; Huwart et al , 2006; Wang et al , 2011). Recent pilot studies in brain tumors found that meningiomas could be identified clearly by MRE, with the tumors having a complex-valued shear modulus that reflects increased stiffness (i.e., increased shear modulus) (Murphy et al, 2013), or increased viscosity (Reiss-Zimmermann et al, 2014) compared to healthy brain tissue.…”

Section: Introductionmentioning

confidence: 99%

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A longitudinal magnetic resonance elastography study of murine brain tumors following radiation therapy

et al. 2016

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An accurate and noninvasive method for assessing treatment response following radiotherapy is needed for both treatment monitoring and planning. Measurement of solid tumor volume alone is not sufficient for reliable early detection of therapeutic response, since changes in physiological and/or biomechanical properties can precede tumor volume change following therapy. In this study, we use magnetic resonance elastography (MRE) to evaluate the treatment effect after radiotherapy in a murine brain tumor model. Shear modulus was calculated and compared between the delineated tumor region of interest (ROI) and its contralateral, mirrored counterpart. We also compared the shear modulus from both the irradiated and non-irradiated tumor and mirror ROIs longitudinally, sampling four time points spanning 9 to 19 days post tumor implant. Results showed that the tumor ROI had a lower shear modulus than that of the mirror ROI, independent of radiation. The shear modulus of the tumor ROI decreased over time for both the treated and untreated groups. By contrast, the shear modulus of the mirror ROI appeared to be relatively constant for the treated group, while an increasing trend was observed for the untreated group. The results provide insights into the tumor properties after radiation treatment and demonstrate the potential of using the mechanical properties of the tumor as a biomarker. In future studies, more closely spaced time points will be employed for detailed analysis of the radiation effect.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A longitudinal magnetic resonance elastography study of murine brain tumors following radiation therapy

et al. 2016

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“…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 . 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%

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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2016

Magnetic Resonance Elastography

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Non-invasive characterization of intracranial tumors by magnetic resonance elastography

Cited by 49 publications

References 30 publications

A longitudinal magnetic resonance elastography study of murine brain tumors following radiation therapy

A longitudinal magnetic resonance elastography study of murine brain tumors following radiation therapy

MR Elastography Analysis of Glioma Stiffness andIDH1-Mutation Status

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