Publications by authors named "Wastling S"

Introduction/aims: Studies have demonstrated the potential of muscle MRIs to measure disease progression in ALS. However, the responsiveness and utility of quantitative muscle MRIs in an ALS clinical trial remain unknown. This study aimed to determine the responsiveness of quantitative muscle MRIs to measure disease progression in ALS.

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Introduction: The pathophysiological basis of neurological decompression sickness and the association between cerebral subcortical white matter (WM) change and nonhypoxic hypobaria remain poorly understood. Recent study of altitude decompression sickness risk evaluated acute WM responses to intensive hypobaric exposure using brain magnetic resonance imaging.

Methods: Six healthy men (20 to 50 yr) completed 6 h of hyperoxic hypobaria during three same-day altitude chamber decompressions to pressure altitudes ≥ 22,000 ft (6706 m).

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Purpose: Data for QSM are typically acquired using multi-echo 3D gradient echo (GRE), but EPI can be used to accelerate QSM and provide shorter acquisition times. So far, EPI-QSM has been limited to single-echo acquisitions, which, for 3D GRE, are known to be less accurate than multi-echo sequences. Therefore, we compared single-echo and multi-echo EPI-QSM reconstructions across a range of parallel imaging and multiband acceleration factors.

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Background: Magnetic resonance imaging (MRI) quantification of intramuscular fat accumulation is a responsive biomarker in neuromuscular diseases. Despite emergence of automated methods, manual muscle segmentation remains an essential foundation. We aimed to develop a training programme for new observers to demonstrate competence in lower limb muscle segmentation and establish reliability benchmarks for future human observers and machine learning segmentation packages.

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Background And Aims: Histopathological diagnosis is the gold standard in many acquired inflammatory, infiltrative and amyloid based peripheral nerve diseases and a sensory nerve biopsy of sural or superficial peroneal nerve is favoured where a biopsy is deemed necessary. The ability to determine nerve pathology by high-resolution imaging techniques resolving anatomy and imaging characteristics might improve diagnosis and obviate the need for biopsy in some. The sural nerve is anatomically variable and occasionally adjacent vessels can be sent for analysis in error.

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Quantitative muscle fat fraction (FF) responsiveness is lower in younger Charcot-Marie-Tooth disease type 1A (CMT1A) patients with lower baseline calf-level FF. We investigated the practicality, validity, and responsiveness of foot-level FF in this cohort involving 22 CMT1A patients and 14 controls. The mean baseline foot-level FF was 25.

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  • A study aimed to use deep learning on brain MRI scans to predict 8-month survival rates for glioblastoma patients after radiotherapy, involving data from 206 patients diagnosed across UK centers.
  • The model's performance was tested against both imaging data (from MRI scans) and non-imaging data (like demographics) and showed high accuracy, particularly with imaging data outperforming non-imaging data.
  • This deep learning model can help identify glioblastoma patients at higher risk of early mortality, potentially guiding them towards early second-line treatments or clinical trials.
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  • The study aimed to evaluate the responsiveness of calf intramuscular fat accumulation in various forms of Charcot-Marie-Tooth disease (CMT) using quantitative MRI, alongside other clinical measures.
  • Researchers assessed groups of patients with CMTX1, CMT1B, and CMT2A over a year, finding elevated muscle fat fractions correlated with clinical assessments and significant annual increases in fat accumulation.
  • The findings suggest that measuring calf muscle fat using MRI is a reliable outcome measure for future CMT clinical trials, as it reflects disease progression across multiple common CMT variants.
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  • Researchers studied how lower limb MRI scans can help track changes in patients with Charcot-Marie-Tooth disease 1A (CMT1A).
  • They tested a new AI tool that automatically analyzes muscle images, making the process quicker and easier than doing it by hand.
  • The results showed that the AI tool was fast and accurate, confirming that calf muscle fat levels increased in CMT1A patients over time.
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Primary Central Nervous System Lymphoma (PCNSL) is a highly malignant brain tumour. We investigated dynamic changes in tumour volume and apparent diffusion coefficient (ADC) measurements for predicting outcome following treatment with MATRix chemotherapy in PCNSL. Patients treated with MATRix ( = 38) underwent T1 contrast-enhanced (T1CE) and diffusion-weighted imaging (DWI) before treatment, after two cycles and after four cycles of chemotherapy.

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Objectives: Lateralisation of some language pathways has been reported in the literature using diffusion tractography, which is more feasible than functional magnetic resonance imaging (fMRI) in challenging patients. Our retrospective study investigates whether a correlation exists between threshold-independent fMRI language lateralisation and structural lateralisation using tractography in healthy controls and brain tumour patients.

Methods: Fifteen healthy subjects and 61 patients underwent language fMRI and diffusion-weighted MRI.

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  • Quantitative susceptibility mapping (QSM) is increasingly used in clinical research, but its accuracy can be affected by oblique image acquisition, which isn't well understood.
  • The study analyzed the impact of oblique acquisition on QSM by testing different tilt-correction methods using simulations and data from healthy volunteers.
  • Results showed that aligning images with the main magnetic field direction before processing steps, particularly after phase unwrapping and before background field removal, is crucial for accurate QSM, and the researchers provided open-source code for tilt correction.*
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Introduction/aims: Inclusion body myositis (IBM) is a myopathic condition but in some patients has been associated with an axonal length-dependent polyneuropathy. In this study, we quantified the cross-sectional area of the sciatic and tibial nerves in patients with IBM comparing with Charcot-Marie-Tooth disease type 1A (CMT1A) and healthy controls using magnetic resonance neurography (MRN).

Methods: MRN of the sciatic and tibial nerves was performed at 3T using MPRAGE and Dixon acquisitions.

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Objective: To report imaging protocol and scheduling variance in routine care of glioblastoma patients in order to demonstrate challenges of integrating deep-learning models in glioblastoma care pathways. Additionally, to understand the most common imaging studies and image contrasts to inform the development of potentially robust deep-learning models.

Methods: MR imaging data were analysed from a random sample of five patients from the prospective cohort across five participating sites of the ZGBM consortium.

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  • Primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM) often look similar on imaging, making it necessary to get tissue samples for accurate diagnosis.
  • A study analyzed 90 tumors (48 PCNSL and 42 GBM) using different MRI techniques and showed that a specific analysis method, called rapid filtration histogram analysis, can help differentiate between the two conditions.
  • The results revealed that using apparent diffusion coefficient (ADC) metrics could identify PCNSL with high sensitivity (96.9%) and specificity (100%) in cases with significant necrosis, suggesting that cross-sectional texture analysis could be a useful tool for this differentiation without needing complex machine learning.
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White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white matter fiber pathways in vivo in human brains. However, like other analyses of complex data, there is considerable variability in segmentation protocols and techniques. This can result in different reconstructions of the same intended white matter pathways, which directly affects tractography results, quantification, and interpretation.

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Background And Purpose: In posterior circulation stroke, vertigo can be a presenting feature. However, whether isolated hemispheric strokes present with vertigo is less clear, despite a few single case reports in the literature. Here, (a) the prevalence of vertigo/dizziness in acute stroke is explored and (b) the cortical distribution of the lesions in relation to both the known vestibular cortex and the evolution of the symptoms, are considered.

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  • - MRI has long been a crucial diagnostic tool, primarily used for qualitative imaging without harmful radiation, but the recent shift towards quantitative MRI (qMRI) enables precise tissue measurements and better insights into tissue structure and composition.
  • - qMRI enhances radiology by providing more detailed information and fostering standardization between different MRI machines, which is beneficial for large-scale studies and clinical trials.
  • - The adoption of qMRI presents new challenges, as it's essential to understand measurement uncertainty and ensure reliability in quantitative results, highlighting the need for improved metrology in MRI practices.
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Background And Purpose: Studies consistently report lower ADC values in () wild-type gliomas than in mutant tumors, but their methods and thresholds vary. This research aimed to compare volumetric and regional ADC measurement techniques for glioma genotyping, with a focus on status prediction.

Materials And Methods: Treatment-naïve World Health Organization grade II and III gliomas were analyzed by 3 neuroradiologist readers blinded to tissue results.

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Background: To assess anatomical and quantitative diffusion-weighted MR imaging features in a recently classified lethal neoplasm, H3 K27M histone-mutant diffuse midline glioma [World Health Organization (WHO) IV].

Methods: Fifteen untreated gliomas in teenagers and adults (median age 19, range, 14-64) with confirmed H3 K27M histone-mutant genotype were analysed at a national referral centre. Morphological characteristics including tumour epicentre(s), T2/FLAIR and Gadolinium enhancement patterns, calcification, haemorrhage and cyst formation were recorded.

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Background A readily implemented MRI biomarker for glioma genotyping is currently lacking. Purpose To evaluate clinically available MRI parameters for predicting isocitrate dehydrogenase () status in patients with glioma. Materials and Methods In this retrospective study of patients studied from July 2008 to February 2019, untreated World Health Organization (WHO) grade II/III gliomas were analyzed by three neuroradiologists blinded to tissue results.

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Purpose: Previous imaging studies in patients with refractory temporal lobe epilepsy (TLE) have examined the spatial distribution of changes in imaging parameters such as diffusion tensor imaging (DTI) metrics and cortical thickness. Multi-compartment models offer greater specificity with parameters more directly related to known changes in TLE such as altered neuronal density and myelination. We studied the spatial distribution of conventional and novel metrics including neurite density derived from NODDI (Neurite Orientation Dispersion and Density Imaging) and myelin water fraction (MWF) derived from mcDESPOT (Multi-Compartment Driven Equilibrium Single Pulse Observation of T1/T2)] to infer the underlying neurobiology of changes in conventional metrics.

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