Monitoring Brain Repair in Stroke Using Advanced Magnetic Resonance Imaging

Sztriha, L.; O’Gorman, Ruth L.; Modo, Michel; Barker, Gareth J.; Williams, Steven; Kalra, Lalit

doi:10.1161/strokeaha.111.649244

Cited by 18 publications

(10 citation statements)

References 101 publications

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“…MRI and PET scans can reveal regional damage, structural and functional connectivity, and metabolic and vascular changes 131, 144, 145 . Incorporation of non-invasive imaging into clinical trials will further benefit the safety assessment (e.g., small bleeds, edema) and quality control (e.g., location of cells) of cell delivery.…”

Section: Imaging In Selected Organsmentioning

confidence: 99%

Clinical imaging in regenerative medicine

et al. 2014

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In regenerative medicine, clinical imaging is indispensable for characterizing damaged tissue and for measuring the safety and efficacy of therapy. However, the ability to track the fate and function of transplanted cells with current technologies is limited. Exogenous contrast labels such as nanoparticles give a strong signal in the short term but are unreliable long term. Genetically encoded labels are good both short- and long-term in animals, but in the human setting they raise regulatory issues related to the safety of genomic integration and potential immunogenicity of reporter proteins. Imaging studies in brain, heart and islets share a common set of challenges, including developing novel labeling approaches to improve detection thresholds and early delineation of toxicity and function. Key areas for future research include addressing safety concerns associated with genetic labels and developing methods to follow cell survival, differentiation and integration with host tissue. Imaging may bridge the gap between cell therapies and health outcomes by elucidating mechanisms of action through longitudinal monitoring.

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Section: Imaging In Selected Organsmentioning

confidence: 99%

Clinical imaging in regenerative medicine

et al. 2014

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“…SPIONs can be alternatively used for noninvasive in vivo imaging of post‐stroke recovery of the brain after cell‐based therapies . This topic will be elaborated further in the stem cell labeling section.…”

Section: Cellular Imagingmentioning

confidence: 99%

Superparamagnetic iron oxide nanoparticles forin vivomolecular and cellular imaging

Sharifi

Seyednejad

Laurent

et al. 2015

Contrast Media & Molecular

115

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In the last decade, the biomedical applications of nanoparticles (NPs) (e.g. cell tracking, biosensing, magnetic resonance imaging (MRI), targeted drug delivery, and tissue engineering) have been increasingly developed. Among the various NP types, superparamagnetic iron oxide NPs (SPIONs) have attracted considerable attention for early detection of diseases due to their specific physicochemical properties and their molecular imaging capabilities. A comprehensive review is presented on the recent advances in the development of in vitro and in vivo SPION applications for molecular imaging, along with opportunities and challenges.

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“…Advanced MRI techniques, such as diffusion tensor imaging (DTI), have been shown to provide useful tools for detecting areas of axonal remodelling associated with WM reorganisation, as well as areas of injury [8,9]. To identify predictors for cognitive impairment, tractography analyses have largely focused on microstructural changes within the Corpus Callosum (CC), as changes within the CC have been related to impairment of cognitive functions [10,11].…”

Section: Introductionmentioning

confidence: 99%

Magnetic resonance imaging markers reflect cognitive outcome after rehabilitation in children with acquired brain injury

Ressel

Berati

Raselli

et al. 2020

European Journal of Radiology

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To test markers from conventional and diffusion Magnetic Resonance Imaging (MRI) as possible predictors of cognitive outcome following rehabilitation therapy in children with acquired brain injury (ABI). Methods: Twenty-one children (10 boys, mean age 11.6 years, range 7.1-19.4) with stroke or traumatic brain injury underwent MRI including Diffusion Tensor Imaging (DTI) before admission to the rehabilitation centre. The conventional images were scored according to a standardised injury scoring system, and mean Fractional Anisotropy (FA) was determined within the Corpus Callosum (CC), as this structure is hypothesised to play an important role in cognition. Both conventional MRI injury scores and mean FA of the CC and its sub-regions were compared with standard functional cognitive outcome scores. Relationships between MRI indices and cognitive outcome scores were assessed using multiple regression and receiver operating characteristic (ROC) analyses. Results: A backwards regression analysis revealed that the mean FA of the CC body and genu and the supratentorial injury score appear to represent the best predictors of outcome, together with the age at rehabilitation and time in rehabilitation. In the ROC analysis, the mean FA values of the CC body and genu and the infratentorial injury score provided the highest sensitivity, while the mean FA of the CC splenium showed the highest specificity for outcome. Conclusions: The conventional MRI injury scores and DTI metrics from the CC reflect cognitive outcomes following rehabilitation. Neuroimaging methods such as MRI with DTI may therefore provide important markers for cognitive recovery after brain injury.

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Monitoring Brain Repair in Stroke Using Advanced Magnetic Resonance Imaging

Cited by 18 publications

References 101 publications

Clinical imaging in regenerative medicine

Clinical imaging in regenerative medicine

Superparamagnetic iron oxide nanoparticles forin vivomolecular and cellular imaging

Magnetic resonance imaging markers reflect cognitive outcome after rehabilitation in children with acquired brain injury

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