A5001240653- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Meningioma and schwannoma management
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Medical Image Segmentation Techniques
- Brain Metastases and Treatment
- Head and Neck Surgical Oncology
- CNS Lymphoma Diagnosis and Treatment
- Lymphoma Diagnosis and Treatment
- Advanced Neural Network Applications
- Brain Tumor Detection and Classification
- Neuroblastoma Research and Treatments
- Cell Image Analysis Techniques
- Computer Graphics and Visualization Techniques
- Fetal and Pediatric Neurological Disorders
- HIV Research and Treatment
- Cerebrospinal fluid and hydrocephalus
- Lanthanide and Transition Metal Complexes
- Generative Adversarial Networks and Image Synthesis
- Sarcoma Diagnosis and Treatment
- Neurofibromatosis and Schwannoma Cases
- Hemoglobinopathies and Related Disorders
University College London
2016-2025
National Hospital for Neurology and Neurosurgery
2016-2025
University of Nottingham
2023-2025
Nottingham University Hospitals NHS Trust
2023-2025
Nottingham Biomedical Research Centre
2024-2025
National Institute for Health Research
2025
University College London Hospitals NHS Foundation Trust
2014-2024
Queen's Medical Centre
2024
University College Hospital
2018-2023
Royal London Hospital
2021
This review describes the definition, incidence, clinical implications, and magnetic resonance imaging (MRI) findings of pseudoprogression brain tumors, in particular, but not limited to, high‐grade glioma. Pseudoprogression is an important problem after tumor treatment, interfering only with day‐to‐day patient care also execution interpretation trials. Radiologically, defined as a new or enlarging area(s) contrast agent enhancement, absence true growth, which subsides stabilizes without...
At a European Society of Neuroradiology (ESNR) Annual Meeting 2015 workshop, commonalities in practice, current controversies and technical hurdles glioma MRI were discussed. We aimed to formulate guidance on determine its feasibility, by seeking information imaging practices from the community. Invitations structured survey emailed ESNR members (n=1,662) associates (n=6,400), national radiologists’ societies distributed via social media. Responses received 220 institutions (59% academic)....
Background A readily implemented MRI biomarker for glioma genotyping is currently lacking. Purpose To evaluate clinically available parameters predicting isocitrate dehydrogenase (IDH) status in patients with glioma. Materials and Methods In this retrospective study of studied from July 2008 to February 2019, untreated World Health Organization (WHO) grade II/III gliomas were analyzed by three neuroradiologists blinded tissue results. Apparent diffusion coefficient (ADC) minimum (ADCmin)...
The aim was to predict survival of glioblastoma at 8 months after radiotherapy (a period allowing for completing a typical course adjuvant temozolomide), by applying deep learning the first brain MRI completion.
To investigate if quantitative apparent diffusion coefficient (ADC) measurements can predict genetic subtypes of non-gadolinium-enhancing gliomas, comparing whole tumour against single slice analysis. Volumetric T2-derived masks 44 gliomas were co-registered to ADC maps with mean (ADCmean) calculated. For the analysis, two observers placed regions interest in largest cross-section. The ratio (ADCratio) between ADCmean and normal appearing white matter was calculated for both methods....
Abstract Background Validation of the 2016 RANO MRI scorecard for leptomeningeal metastasis failed multiple reasons. Accordingly, this joint EORTC Brain Tumor Group and effort sought to prospectively validate a revised response assessment in metastasis. Methods Coded paired cerebrospinal 20 patients with metastases from solid cancers at baseline follow-up after treatment instructions were provided via imaging platform. The Kappa coefficient was used evaluate interobserver pairwise agreement....
Recently, mutations in the TUBB4A gene have been found to underlie hypomyelination with atrophy of basal ganglia and cerebellum (H-ABC) syndrome, a rare neurodegenerative disorder infancy childhood. also described as causative DYT4 ("hereditary whispering dysphonia"). However, DYT4, brain imaging has reported be normal and, therefore, H-ABC syndrome construed different disorders, despite some phenotypic overlap. Hence, question whether these disorders reflect variable expressivity or...
We sought to investigate, whether texture analysis of diffusional kurtosis imaging (DKI) enhanced by support vector machine (SVM) may provide biomarkers for gliomas staging and detection the IDH mutation. First-order statistics feature extraction were performed in 37 patients on both conventional (FLAIR) mean (MDK) images recursive elimination (RFE) methodology based SVM was employed select most discriminative diagnostic biomarkers. The first-order demonstrated significantly lower MDK values...
In this paper we present a method for simultaneously segmenting brain tumors and an extensive set of organs-at-risk radiation therapy planning glioblastomas. The combines contrast-adaptive generative model whole-brain segmentation with new spatial regularization tumor shape using convolutional restricted Boltzmann machines. We demonstrate experimentally that the is able to adapt image acquisitions differ substantially from any available training data, ensuring its applicability across...
Abstract Objective Quantitative MRI (qMRI) methods provide versatile neuroradiological applications and are a hot topic in research. The degree of their clinical implementation is however barely known. This survey was created to illuminate which how qMRI techniques currently applied across Europe. Methods In total, 4753 neuroradiologists from 27 countries received an online questionnaire. Demographic professional data, experience with the brain head neck, usage, reasons for/against...
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].Fifteen untreated gliomas teenagers adults (median age 19, range, 14-64) with confirmed genotype were analysed at national referral centre. Morphological characteristics including tumour epicentre(s), T2/FLAIR Gadolinium enhancement patterns, calcification, haemorrhage cyst formation recorded....
Gliomas are the commonest malignant brain tumours. Baseline characteristics on structural MRI, such as size, enhancement proportion and eloquent involvement inform grading treatment planning. Currently, free-text imaging reports depend individual style experience of radiologist. Standardisation may increase consistency feature reporting. We compared 100 baseline for glioma MRI scans with a structured list based VASARI criteria performed full second read to document which features were in...
Abstract Background Isocitrate dehydrogenase (IDH) mutation and chromosome 1p19q genotyping have become fundamental to the prognostic grouping of adult diffuse gliomas. Apparent diffusion coefficient (ADC) values may enable non-invasive prediction glioma molecular status. The purpose this systematic review meta-analysis was investigate diagnostic accuracy ADC for IDH genotyping, considering measurement techniques tumour grade. Methods A search PubMed Cochrane Library databases performed in...