Breast magnetic resonance elastography: a review of clinical work and future perspectives

Bohte, Anneloes E.; Nelissen, Jules L.; Runge, Jurgen H.; Holub, Ondrej; Lambert, Simon A.; Graaf, Larry de; Kolkman, Saskia; Meij, Suzan van der; Stoker, Jaap; Strijkers, Gustav J.; Nederveen, Aart J.; Sinkus, Ralph

doi:10.1002/nbm.3932

Cited by 25 publications

(24 citation statements)

References 68 publications

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“…MR elastography yields quantitative images, and therefore imaging biomarkers, that map the absolute value of the complex shear modulus G Ã in terms of its two components, the elasticity modulus G d (a measure of the ability of an object to resume a normal shape after being stretched or compressed) and the viscosity modulus G l (a measure of resistance to gradual deformation by shear or tensile stress). We and others have demonstrated, in preclinical tumor models and cancer patients in vivo, the potential of the MR elastography-derived mechanical phenotype to inform on the underlying tumor microstructure and treatmentinduced changes to its integrity (18)(19)(20)(21)(22)(23)(24)(25).…”

Section: Introductionmentioning

confidence: 99%

Investigating the Contribution of Collagen to the Tumor Biomechanical Phenotype with Noninvasive Magnetic Resonance Elastography

et al. 2019

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Increased stiffness in the extracellular matrix (ECM) contributes to tumor progression and metastasis. Therefore, stromal modulating therapies and accompanying biomarkers are being developed to target ECM stiffness. Magnetic resonance (MR) elastography can noninvasively and quantitatively map the viscoelastic properties of tumors in vivo and thus has clear clinical applications. Herein, we used MR elastography, coupled with computational histopathology, to interrogate the contribution of collagen to the tumor biomechanical phenotype and to evaluate its sensitivity to collagenase-induced stromal modulation. Elasticity (G d) and viscosity (G l) were significantly greater for orthotopic BT-474 (G d ¼ 5.9 AE 0.2 kPa, G l ¼ 4.7 AE 0.2 kPa, n ¼ 7) and luc-MDA-MB-231-LM2-4 (G d ¼ 7.9 AE 0.4 kPa, G l ¼ 6.0 AE 0.2 kPa, n ¼ 6) breast cancer xenografts, and luc-PANC1 (G d ¼ 6.9 AE 0.3 kPa, G l ¼ 6.2 AE 0.2 kPa, n ¼ 7) pancreatic cancer xenografts, compared with tumors associated with the nervous system, including GTML/Trp53 KI/KI medulloblastoma (G d ¼ 3.5 AE 0.2 kPa, G l ¼ 2.3 AE 0.2 kPa, n ¼ 7), orthotopic luc-D-212-MG (G d ¼ 3.5 AE 0.2 kPa, G l ¼ 2.3 AE 0.2 kPa, n ¼ 7), luc-RG2 (G d ¼ 3.5 AE 0.2 kPa, G l ¼ 2.3 AE 0.2 kPa, n ¼ 5), and luc-U-87-MG (G d ¼ 3.5 AE 0.2 kPa, G l ¼ 2.3 AE 0.2 kPa, n ¼ 8) glioblastoma xenografts, intracranially propagated luc-MDA-MB-231-LM2-4 (G d ¼ 3.7 AE 0.2 kPa, G l ¼ 2.2 AE 0.1 kPa, n ¼ 7) breast cancer xenografts, and Th-MYCN neuroblastomas (G d ¼ 3.5 AE 0.2 kPa, G l ¼ 2.3 AE 0.2 kPa, n ¼ 5). Positive correlations between both elasticity (r ¼ 0.72, P < 0.0001) and viscosity (r ¼ 0.78, P < 0.0001) were determined with collagen fraction, but not with cellular or vascular density. Treatment with collagenase significantly reduced G d (P ¼ 0.002) and G l (P ¼ 0.0006) in orthotopic breast tumors. Texture analysis of extracted images of picrosirius red staining revealed significant negative correlations of entropy with G d (r ¼ À0.69, P < 0.0001) and G l (r ¼ À0.76, P < 0.0001), and positive correlations of fractal dimension with G d (r ¼ 0.75, P < 0.0001) and G l (r ¼ 0.78, P < 0.0001). MR elastography can thus provide sensitive imaging biomarkers of tumor collagen deposition and its therapeutic modulation. Significance: MR elastography enables noninvasive detection of tumor stiffness and will aid in the development of ECM-targeting therapies.

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Section: Introductionmentioning

confidence: 99%

Investigating the Contribution of Collagen to the Tumor Biomechanical Phenotype with Noninvasive Magnetic Resonance Elastography

et al. 2019

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“…The role of MRE in the evaluation of malignant tumors in various cancers including breast cancer has been reported . Recently Bohte et al have reviewed the potential of breast MRE . Lorenzen et al have reported changes in the elasticity of breast tissue as a function of the menstrual cycle .…”

Section: Mri‐related Methods In the Study Of Breast Cancer Metabolismmentioning

confidence: 99%

Application of in vivo MR methods in the study of breast cancer metabolism

Jagannathan

2018

NMR in Biomedicine

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In the last two decades, various in vivo MR methodologies have been evaluated for their potential in the study of cancer metabolism. During malignant transformation, metabolic alterations occur, leading to morphological and functional changes. Among various MR methods, in vivo MRS has been extensively used in breast cancer to study the metabolism of cells, tissues or whole organs. It provides biochemical information at the metabolite level. Altered choline, phospholipid and energy metabolism has been documented using proton ( 1 H), phosphorus ( 31 P) and carbon ( 13 C) isotopes. Increased levels of choline-containing compounds, phosphomonoesters and phosphodiesters in breast cancer, which are indicative of altered choline and phospholipid metabolism, have been reported using in vivo, in vitro and ex vivo NMR studies. These changes are reversed on successful therapy, which depends on the treatment regimen given.Monitoring the various tumor intermediary metabolic pathways using nuclear spin hyperpolarization of 13 C-labeled substrates by dynamic nuclear polarization has also been recently reported. Furthermore, the utility of various methods such as diffusion, dynamic contrast and perfusion MRI have also been evaluated to study breast tumor metabolism. Parameters such as tumor volume, apparent diffusion coefficient, volume transfer coefficient and extracellular volume ratio are estimated. These parameters provide information on the changes in tumor microstructure, microenvironment, abnormal vasculature, permeability and grade of the tumor. Such changes seen during cancer progression are due to alterations in the tumor metabolism, leading to changes in cell architecture. Due to architectural changes, the tissue mechanical properties are altered; this can be studied using magnetic resonance elastography, which measures the elastic properties of tissues. Moreover, these structural MRI methods can be used to investigate the effect of therapy-induced changes in tumor characteristics. This review discusses the potential of various in vivo MR methodologies in the study of breast cancer metabolism.

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“…Magnetic resonance elastography has been proven successful and robust in a broad range of applications, from clinical diagnosis of liver diseases [386] to brain [280], and breast [387] pathologies. However, generalization of MRE in clinics is impacted by the scan time required for the acquisition of complete data sets necessary for accurate reconstruction.…”

Section: Magnetic Resonance Shear Wave Elastographymentioning

confidence: 99%

Viscoelasticity Imaging of Biological Tissues and Single Cells Using Shear Wave Propagation

Flé

Bhatt

et al. 2021

Front. Phys.

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Changes in biomechanical properties of biological soft tissues are often associated with physiological dysfunctions. Since biological soft tissues are hydrated, viscoelasticity is likely suitable to represent its solid-like behavior using elasticity and fluid-like behavior using viscosity. Shear wave elastography is a non-invasive imaging technology invented for clinical applications that has shown promise to characterize various tissue viscoelasticity. It is based on measuring and analyzing velocities and attenuations of propagated shear waves. In this review, principles and technical developments of shear wave elastography for viscoelasticity characterization from organ to cellular levels are presented, and different imaging modalities used to track shear wave propagation are described. At a macroscopic scale, techniques for inducing shear waves using an external mechanical vibration, an acoustic radiation pressure or a Lorentz force are reviewed along with imaging approaches proposed to track shear wave propagation, namely ultrasound, magnetic resonance, optical, and photoacoustic means. Then, approaches for theoretical modeling and tracking of shear waves are detailed. Following it, some examples of applications to characterize the viscoelasticity of various organs are given. At a microscopic scale, a novel cellular shear wave elastography method using an external vibration and optical microscopy is illustrated. Finally, current limitations and future directions in shear wave elastography are presented.

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Breast magnetic resonance elastography: a review of clinical work and future perspectives

Cited by 25 publications

References 68 publications

Investigating the Contribution of Collagen to the Tumor Biomechanical Phenotype with Noninvasive Magnetic Resonance Elastography

Investigating the Contribution of Collagen to the Tumor Biomechanical Phenotype with Noninvasive Magnetic Resonance Elastography

Application of in vivo MR methods in the study of breast cancer metabolism

Viscoelasticity Imaging of Biological Tissues and Single Cells Using Shear Wave Propagation

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