Paediatric brain tissue properties measured with magnetic resonance elastography

Yeung, Jade; Jugé, Lauriane; Hatt, Alice; Bilston, Lynne E.

doi:10.1007/s10237-019-01157-x

Cited by 24 publications

(18 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is in contrast to a large recent study, where deep gray matter was reported to be stiffer than both white and cortical gray matter [24]. A second study reported the stiffness to be lower in the deep gray matter than white matter [25], while a third study found white and gray matter stiffness to be very similar in both adults and paediatric subjects [26]. This last study also noted a data quality bias in the calculations due to the attenuation of the applied shear waves causing low MRE signal in the central regions of the brain [26,27].…”

Section: Discussioncontrasting

confidence: 85%

Decreased tissue stiffness in glioblastoma by MR elastography is associated with increased cerebral blood flow

Svensson

Fuster–Garcia

Latysheva

et al. 2022

European Journal of Radiology

View full text Add to dashboard Cite

Section: Discussioncontrasting

confidence: 85%

Decreased tissue stiffness in glioblastoma by MR elastography is associated with increased cerebral blood flow

Svensson

Fuster–Garcia

Latysheva

et al. 2022

European Journal of Radiology

View full text Add to dashboard Cite

“…26,27 However, brain mechanics of neurodevelopmental disorders are far less characterized, 28 and only a limited number of studies have reported healthy pediatric brain mechanical properties. 29,30 We previously performed the first study of brain stiffness in children with cerebral palsy using magnetic resonance elastography and found that global gray matter stiffness, as well as local regions of gray and white matter, were significantly less stiff in children with cerebral palsy than in typically developing children. 31 This study provided the first evidence that brain mechanical properties are affected in cerebral palsy, indicating reduced structural integrity of neural tissue in this population.…”

mentioning

confidence: 99%

Brain Stiffness Relates to Dynamic Balance Reactions in Children With Cerebral Palsy

et al. 2020

View full text Add to dashboard Cite

Cerebral palsy is a neurodevelopmental movement disorder that affects coordination and balance. Therapeutic treatments for balance deficiencies in this population primarily focus on the musculoskeletal system, whereas the neural basis of balance impairment is often overlooked. Magnetic resonance elastography (MRE) is an emerging technique that has the ability to sensitively assess microstructural brain health through in vivo measurements of neural tissue stiffness. Using magnetic resonance elastography, we have previously measured significantly softer grey matter in children with cerebral palsy as compared with typically developing children. To further allow magnetic resonance elastography to be a clinically useful tool in rehabilitation, we aim to understand how brain stiffness in children with cerebral palsy is related to dynamic balance reaction performance as measured through anterior and posterior single-stepping thresholds, defined as the standing perturbation magnitudes that elicit anterior or posterior recovery steps. We found that global brain stiffness is significantly correlated with posterior stepping thresholds ( P = .024) such that higher brain stiffness was related to better balance recovery. We further identified specific regions of the brain where stiffness was correlated with stepping thresholds, including the precentral and postcentral gyri, the precuneus and cuneus, and the superior temporal gyrus. Identifying brain regions affected in cerebral palsy and related to balance impairment can help inform rehabilitation strategies targeting neuroplasticity to improve motor function.

show abstract

“…A second study reported the stiffness to be lower in the deep gray matter than white matter (28), while a third study found white and gray matter stiffness to be very similar in both adults and paediatric subjects. This last study also noted a data quality bias in the calculations due the attenuation of the applied shear waves causing low MRE signal in the central regions of the brain (29,30). In an earlier study using this MRE method in healthy subjects, MRE data quality, measured as the curl-divergence ratio, was found to be lower in the deep gray matter regions than in regions closer to the skull.…”

Section: Discussionmentioning

confidence: 82%

“…To avoid artefacts from MRE reconstruction at the edge of the brain, elastography maps were eroded by 2 pixels. MRE data quality was assessed by degree of temporal nonlinearity in the MRE data, which is a measure of noise in the original phase data (29), and the ratio between the amplitude of the curl and the amplitude of the divergence (15). This ratio quantifies the signal (curl) to noise (divergence) since the divergence of the displacement is approximately zero due to the incompressible nature of tissue.…”

Section: Image Processingmentioning

confidence: 99%

Decreased tissue stiffness in glioblastoma by MR Elastography is associated with increased cerebral blood flow

Svensson

Fuster–Garcia

Latysheva

et al. 2021

Preprint

View full text Add to dashboard Cite

BACKGROUND: Understanding how mechanical properties relate to functional changes in glioblastomas may help explain variation between patients. PURPOSE: To map differences in biomechanical and functional properties between tumor and healthy tissue, to study their spatial distribution, and to assess any relationship between biomechanical and functional properties. STUDY TYPE: Prospective. SUBJECTS: Nine patients with glioblastoma, 17 healthy subjects FIELD STRENGTH/SEQUENCE: 3T, MRE, DSC, DTI, ASL ASSESSMENT: Stiffness and viscosity measurements G′ and G″, cerebral blood flow (CBF), apparent diffusion coefficient (ADC) and fractional anisotropy (FA) were measured in patients′ contrast-enhancing tumor, necrosis, edema, and gray and white matter, and in gray and white matter for healthy subjects. STATISTICAL TESTS: Voxel-wise regression analysis using a linear and a random forest model for CBF as a function of ADC, FA, G′ and G″. Model performance was evaluated by root-mean-square error with a leave-one-patient-out cross-validation strategy. A paired Wilcoxon signed-rank test was used for comparisons of different regions and models. A significance level of P<0.05 was assumed for all tests. RESULTS: Median G′ and G″ in contrast-enhancing tumor were 15 % and 39 % lower than in normal-appearing white matter (cNAWM), respectively (P<0.01). FA was 53 % lower in tumor compared to cNAWM (P<0.01). ADC and CBF were 50 % and 2.9 times higher in tumor than in cNAWM, respectively (P<0.01). For both models, prediction of CBF was improved by adding MRE measurements to the model, compared to a baseline model with ADC and FA as predictors (P<0.05). DATA CONCLUSION: Tumors differed from healthy tissue with regard to G′ and G″, CBF, ADC and FA, with heterogeneity both between patients and within tumors. Measurements approached values in normal-appearing tissue when moving outward from the tumor core, but abnormal tissue properties were still present in regions of normal-appearing tissue. The inclusion of MRE measurements in statistical models helped predict perfusion, with stiffer tissue associated with lower perfusion values.

show abstract

Paediatric brain tissue properties measured with magnetic resonance elastography

Cited by 24 publications

References 38 publications

Decreased tissue stiffness in glioblastoma by MR elastography is associated with increased cerebral blood flow

Decreased tissue stiffness in glioblastoma by MR elastography is associated with increased cerebral blood flow

Brain Stiffness Relates to Dynamic Balance Reactions in Children With Cerebral Palsy

Decreased tissue stiffness in glioblastoma by MR Elastography is associated with increased cerebral blood flow

Contact Info

Product

Resources

About