Assessment of quantitative magnetic resonance imaging metrics in the brain through the use of a novel phantom

Wilde, Elisabeth A.; Provenzale, James M.; Taylor, Brian; Boss, Michael A.; Zuccolotto, Anthony; Hachey, Rebecca; Pathak, Sudhir Kumar; Tate, David F.; Abildskov, Tracy J.; Schneider, Walter

doi:10.1080/02699052.2018.1494855

Cited by 6 publications

(4 citation statements)

References 36 publications

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“…For example, diffusion tensor imaging (DTI) could be used to visualize white matter tracts, which are known to be susceptible to progressive aspects of TBI . However, differences across manufacturers, models, and software versions as well as possible "drift over time" have hindered use of the technology, even for clinical trials . Differences across manufacturers, models, postprocessing techniques, and time were recognized at the workshop as a key hindrance to clinical adoption.…”

Section: Stakeholder Perspectives From the 2017 Workhopmentioning

confidence: 99%

“…66 However, differences across manufacturers, models, and software versions as well as possible "drift over time" have hindered use of the technology, even for clinical trials. 67 Differences across manufacturers, models, postprocessing techniques, and time were recognized at the workshop as a key hindrance to clinical adoption. Differences exist for simple geometric measurements, as documented by the ADNI trials, 26 and for model-based measurements such as T 1 relaxation time measurements.…”

Section: Seeing the Same: The Need For Platform Independence In Imagimentioning

confidence: 99%

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Recommendations towards standards for quantitative MRI (qMRI) and outstanding needs

Keenan

Biller

Delfino

et al. 2019

Magnetic Resonance Imaging

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Section: Stakeholder Perspectives From the 2017 Workhopmentioning

confidence: 99%

Section: Seeing the Same: The Need For Platform Independence In Imagimentioning

confidence: 99%

Recommendations towards standards for quantitative MRI (qMRI) and outstanding needs

Keenan

Biller

Delfino

et al. 2019

Magnetic Resonance Imaging

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“…Less commonly, children with mild TBI have been compared to children with mild extracranial or orthopedic injuries (OI; Babcock et al., 2015; Ewing-Cobbs et al., 2019). The inclusion of typically developing children is problematic for several reasons (Mathias et al., 2013; Wilde et al., 2018a). First, it does not account for pre-injury characteristics that could predispose children to injury.…”

Section: Introductionmentioning

confidence: 99%

Post-acute white matter microstructure predicts post-acute and chronic post-concussive symptom severity following mild traumatic brain injury in children

Ware

Shukla

Goodrich-Hunsaker

et al. 2020

NeuroImage: Clinical

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IntroductionMild traumatic brain injury (TBI) is a global public health concern that affects millions of children annually. Mild TBI tends to result in subtle and diffuse alterations in brain tissue, which challenges accurate clinical detection and prognostication. Diffusion tensor imaging (DTI) holds promise as a diagnostic and prognostic tool, but little research has examined DTI in post-acute mild TBI. The current study compared post-acute white matter microstructure in children with mild TBI versus those with mild orthopedic injury (OI), and examined whether post-acute DTI metrics can predict post-acute and chronic post-concussive symptoms (PCS).Materials and methodsChildren aged 8–16.99 years with mild TBI (n = 132) or OI (n = 69) were recruited at emergency department visits to two children's hospitals, during which parents rated children's pre-injury symptoms retrospectively. Children completed a post-acute (<2 weeks post-injury) assessment, which included a 3T MRI, and 3- and 6-month post-injury assessments. Parents and children rated PCS at each assessment. Mean diffusivity (MD) and fractional anisotropy (FA) were derived from diffusion-weighted MRI using Automatic Fiber Quantification software. Multiple multivariable linear and negative binomial regression models were used to test study aims, with False Discovery Rate (FDR) correction for multiple comparisons.ResultsNo significant group differences were found in any of the 20 white matter tracts after FDR correction. DTI metrics varied by age and sex, and site was a significant covariate. No interactions involving group, age, and sex were significant. DTI metrics in several tracts robustly predicted PCS ratings at 3- and 6-months post-injury, but only corpus callosum genu MD was significantly associated with post-acute PCS after FDR correction. Significant group by DTI metric interactions on chronic PCS ratings indicated that left cingulum hippocampus and thalamic radiation MD was positively associated with 3-month PCS in the OI group, but not in the mild TBI group.ConclusionsPost-acute white matter microstructure did not differ for children with mild TBI versus OI after correcting for multiple comparisons, but was predictive of post-acute and chronic PCS in both injury groups. These findings support the potential prognostic utility of this advanced DTI technique.

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“…However, these phantoms are display isotropic non‐time‐dependent diffusion and hence they cannot validate dMRI estimates of anisotropy, of fiber orientation dispersion in white matter, or of microstructural properties. DTI phantoms containing melt‐spun hollow PP fibers have been employed to assess intra‐ and inter‐scanner variability in fractional anisotropy (FA) values using different imaging protocols on up to four 3T MR scanners, indicating substantial inter‐scanner differences 24,25 . The primary advantage of coaxial electrospun fiber phantoms over PP fiber phantoms lies in fiber size variation and fiber orientation control, which is expected to help generate dMRI data that more closely mimic those obtained from real biological tissue.…”

Section: Introductionmentioning

confidence: 99%

Direct jet coaxial electrospinning of axon‐mimicking fibers for diffusion tensor imaging

Grech‐Sollars

Statton

et al. 2023

Polymers for Advanced Techs

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Hollow polymer microfibers with variable microstructural and hydrophilic properties were proposed as building elements to create axon‐mimicking phantoms for validation of diffusion tensor imaging (DTI). The axon‐mimicking microfibers were fabricated in a mm‐thick 3D anisotropic fiber strip, by direct jet coaxial electrospinning of PCL/polysiloxane‐based surfactant (PSi) mixture as shell and polyethylene oxide (PEO) as core. Hydrophilic PCL‐PSi fiber strips were first obtained by carefully selecting appropriate solvents for the core and appropriate fiber collector rotating and transverse speeds. The porous cross‐section and anisotropic orientation of axon‐mimicking fibers were then quantitatively evaluated using two ImageJ plugins—nearest distance (ND) and directionality based on their scanning electron microscopy (SEM) images. Third, axon‐mimicking phantom was constructed from PCL‐PSi fiber strips with variable porous‐section and fiber orientation and tested on a 3T clinical MR scanner. The relationship between DTI measurements (mean diffusivity [MD] and fractional anisotropy [FA]) of phantom samples and their pore size and fiber orientation was investigated. Two key microstructural parameters of axon‐mimicking phantoms including normalized pore distance and dispersion of fiber orientation could well interpret the variations in DTI measurements. Two PCL‐PSi phantom samples made from different regions of the same fiber strips were found to have similar MD and FA values, indicating that the direct jet coaxial electrospun fiber strips had consistent microstructure. More importantly, the MD and FA values of the developed axon‐mimicking phantoms were mostly in the biologically relevant range.

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Assessment of quantitative magnetic resonance imaging metrics in the brain through the use of a novel phantom

Cited by 6 publications

References 36 publications

Recommendations towards standards for quantitative MRI (qMRI) and outstanding needs

Recommendations towards standards for quantitative MRI (qMRI) and outstanding needs

Post-acute white matter microstructure predicts post-acute and chronic post-concussive symptom severity following mild traumatic brain injury in children

Direct jet coaxial electrospinning of axon‐mimicking fibers for diffusion tensor imaging

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