A5009510281- Glioma Diagnosis and Treatment
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Fetal and Pediatric Neurological Disorders
- Radiomics and Machine Learning in Medical Imaging
- Metabolomics and Mass Spectrometry Studies
- Patient-Provider Communication in Healthcare
- Meningioma and schwannoma management
- Chromatin Remodeling and Cancer
- Mitochondrial Function and Pathology
- Adenosine and Purinergic Signaling
- Cancer, Lipids, and Metabolism
- Advanced Neural Network Applications
- Advanced Thermodynamics and Statistical Mechanics
- Epilepsy research and treatment
- Atomic and Subatomic Physics Research
- Pancreatic and Hepatic Oncology Research
- Theoretical and Computational Physics
- Hedgehog Signaling Pathway Studies
- Patient Dignity and Privacy
- Genetics and Neurodevelopmental Disorders
- Ethics in Clinical Research
- Microtubule and mitosis dynamics
- NMR spectroscopy and applications
University of Birmingham
2013-2025
Nottingham University Hospitals NHS Trust
2025
Birmingham Children's Hospital
2017-2024
Birmingham Women’s and Children’s NHS Foundation Trust
2021-2022
Raigmore Hospital
2019-2021
NHS Highland
2019-2021
Genomics (United Kingdom)
2017
Abstract To determine if apparent diffusion coefficients (ADC) can discriminate between posterior fossa brain tumours on a multicentre basis. A total of 124 paediatric patients with (including 55 Medulloblastomas, 36 Pilocytic Astrocytomas and 26 Ependymomas) were scanned using weighted imaging across 12 different hospitals 18 scanners. Apparent coefficient maps produced histogram data was extracted from tumour regions interest. Total histograms metrics (mean, variance, skew, kurtosis 10th,...
Introduction Wolfram syndrome ( WFS1- Spectrum Disorder) is an ultra-rare monogenic form of progressive neurodegeneration and diabetes mellitus. In common with most rare diseases, there are no therapies to slow or stop disease progression. Sodium valproate, anticonvulsant neuroprotective properties, anticipated mediate its effect via alteration cell cycle kinetics, increases in p21 cip1 expression levels reduction apoptosis increase Wolframin protein expression. To date, have been...
Purpose 3T magnetic resonance scanners have boosted clinical application of 1 H‐MR spectroscopy (MRS) by offering an improved signal‐to‐noise ratio and increased spectral resolution, thereby identifying more metabolites extending the range metabolic information. Spectroscopic data from 1.5T MR has been shown to discriminate between pediatric brain tumors applying machine learning techniques further aid diagnosis. The purpose this multi‐center study was investigate discriminative potential...
Abstract Brain tumors represent the highest cause of mortality in pediatric oncological population. Diagnosis is commonly performed with magnetic resonance imaging. Survival biomarkers are challenging to identify due relatively low numbers individual tumor types. 69 children biopsy-confirmed brain were recruited into this study. All participants had perfusion and diffusion weighted imaging at diagnosis. Imaging data processed using conventional methods, a Bayesian survival analysis...
Background Pediatric retroperitoneal tumors in the renal bed are often large and heterogeneous, their diagnosis based on conventional imaging alone is not possible. More advanced methods, such as diffusion‐weighted (DW) MRI use of intravoxel incoherent motion (IVIM), have potential to provide additional biomarkers that could facilitate noninvasive diagnosis. Purpose To assess an IVIM model for childhood malignant abdominal discrimination benign from lesions. Study Type Retrospective....
The malignant childhood brain tumour, medulloblastoma, is classified clinically into molecular groups which guide therapy. DNA-methylation profiling the current classification 'gold-standard', typically delivered 3-4 weeks post-surgery. Pre-surgery non-invasive diagnostics thus offer significant potential to improve early diagnosis and clinical management. Here, we determine tumour metabolite profiles of four medulloblastoma groups, assess their diagnostic utility using tissue for in vivo...
Abstract 1 H‐magnetic resonance spectroscopy (MRS) has the potential to improve noninvasive diagnostic accuracy for paediatric brain tumours. However, studies analysing large, comprehensive, multicentre datasets are lacking, hindering translation widespread clinical practice. Single‐voxel MRS (point‐resolved single‐voxel sequence, 1.5 T: echo time [TE] 23–37 ms/135–144 ms, repetition [TR] 1500 ms; 3 TE 37–41 TR 2000 ms) was performed from 2003 2012 during routine magnetic imaging a suspected...
MRS can provide high accuracy in the diagnosis of childhood brain tumours when combined with machine learning. A feature selection method such as principal component analysis is commonly used to reduce dimensionality metabolite profiles prior classification. However, an alternative approach identifying optimal set metabolites has not been fully evaluated, possibly due challenges defining this for a multi-class problem. This study aims investigate from vivo tumour Multi-site 1.5 T and 3...
1 H‐magnetic resonance spectroscopy (MRS) provides noninvasive metabolite profiles with the potential to aid diagnosis of brain tumours. Prospective studies diagnostic accuracy and comparisons conventional MRI are lacking. The aim current study was evaluate, prospectively, a previously established classifier for diagnosing three major childhood cerebellar tumours, determine added value compared standard reporting imaging. Single‐voxel MRS (1.5 T, PRESS, TE 30 ms, TR 1500 spectral resolution...
Proton magnetic resonance spectroscopy (1H-MRS) is increasingly used for clinical brain tumour diagnosis, but suffers from limited spectral quality. This retrospective and comparative study aims at improving paediatric classification by performing noise suppression on 1H-MRS. Eighty-three/forty-two children with either an ependymoma (ages 4.6 ± 5.3/9.3 5.4), a medulloblastoma 6.9 3.5/6.5 4.4), or pilocytic astrocytoma (8.0 3.6/6.3 5.0), recruited four centres across England, were scanned...
Monitoring of Diffuse Intrinsic Pontine Glioma (DIPG) and Midline (DMG) brain tumors in pediatric patients is key for assessment treatment response. Response Assessment Pediatric Neuro-Oncology (RAPNO) guidelines recommend the volumetric measurement these using MRI. Segmentation challenges, such as Brain Tumor (BraTS) Challenge, promote development automated approaches which are replicable, generalizable accurate, to aid tasks. The current study presents a novel adaptation existing nnU-Net...
Informed consent has important ethical considerations for invasive procedures. Anecdotal evidence suggests an informed policy could heighten anxiety. We evaluated whether detailed information about breast biopsy prior to appointment negatively impacted patient experiences. Phase 1 surveyed patients receiving a standard letter who underwent core (group A). 2 two groups plus leaflets: those B) and did not C). The analysis included descriptive statistics qualitative thematic analysis. Hundred...
Abstract Aims Magnetic resonance imaging (MRI) is a valuable tool for non-invasive diagnosis of paediatric brain tumours. The rarity the disease dictates multi-centre studies and biomarkers that are robust to protocol variability. We investigated diffusion tensor MRI (DT-MRI), combined with machine learning, as an aid evaluated robustness metrics. Method A cohort 52 clinical DT-MRI scans (20 medulloblastomas (MB), 21 pilocytic astrocytomas (PA), 11 ependymomas (EP)) were analysed...
Abstract INTRODUCTION Magnetic Resonance Imaging (MRI) is routinely used in the assessment of children’s brain tumours. Reduced diffusion and increased perfusion on MRI are commonly associated with higher grade but there a lack quantitative data linking these parameters to survival. Machine learning increasingly being develop diagnostic tools its use survival analysis rare. In this study we combine from machine model for paediatric METHOD: 69 children 4 centres (Birmingham, Liverpool,...
Abstract SHH medulloblastoma patients have a variable prognosis. Infants (<3–5 years at diagnosis) are associated with good prognosis, while disease-course in childhood is specific prognostic biomarkers (MYCN amplification, TP53 mutation, LCA histology; all high-risk). There an unmet need to identify subgroups of tumours rapidly the clinical setting, aid real-time risk stratification and disease management. Metabolite profiling powerful technique for characterising tumours. High...
Background Brain tumours represent the highest cause of mortality in paediatric oncological population. Diagnosis is commonly performed with magnetic resonance imaging and spectroscopy. Survival biomarkers are challenging to identify due relatively low numbers individual tumour types, especially for rare types such as atypical rhabdoid tumours. Methods 69 children biopsy-confirmed brain were recruited into this study. All participants had both perfusion diffusion weighted at diagnosis. Data...
Abstract INTRODUCTION: Magnetic resonance imaging is a key investigation in the diagnosis of childhood solid tumours. Advanced techniques such as diffusion weighted (DWI), magnetic spectroscopy (MRS) and perfusion probe underlying cellular, chemical vascular nature disease. Coupled with machine learning these scanning methods show improvement diagnostic accuracy compared conventional imaging. image analysis not routinely available hospitals. We present clinical decision support system (CDSS)...
Abstract INTRODUCTION: Perfusion is associated with grade and survival in children’s brain tumours. Dynamic susceptibility-contrast (DSC-) MRI measures perfusion non-invasively, estimating relative cerebral blood volume (rCBV). We previously showed significant differences between pre-treatment rCBV low- high-grade tumours a multicentre study. Contrast agent leakage from tumour vessels during acquisition affects accuracy. A contrast pre-bolus can be given but this challenging clinical...