A5039801732- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Brain Metastases and Treatment
- Multi-Agent Systems and Negotiation
- Cancer, Hypoxia, and Metabolism
- Semantic Web and Ontologies
- Meningioma and schwannoma management
- Cancer Research and Treatments
- COVID-19 and healthcare impacts
- Medical Imaging Techniques and Applications
- Advanced Radiotherapy Techniques
- Cancer-related cognitive impairment studies
- Artificial Intelligence in Healthcare and Education
- Biomedical Text Mining and Ontologies
- Neuroblastoma Research and Treatments
- Advances in Oncology and Radiotherapy
- Cancer survivorship and care
- Health Systems, Economic Evaluations, Quality of Life
- Brain Tumor Detection and Classification
- Pancreatic and Hepatic Oncology Research
- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Metabolism and Genetic Disorders
- Frailty in Older Adults
- Economic and Financial Impacts of Cancer
Imperial College London
2016-2025
Imperial College Healthcare NHS Trust
2015-2025
Hammersmith Hospital
2023-2025
Charing Cross Hospital
2015-2025
Florida Center for Gastroenterology
2024
Case Western Reserve University
2023-2024
University of Florida
2007-2024
Cardiff University
2014-2024
The University of Texas at Dallas
2024
Regional Medical Center
2023
AimsGlioblastoma (GBM) is the most common and aggressive primary malignant brain tumour in adults, with a poor prognosis. Changing treatment paradigms suggest improved outcome, but whole nation data for England scarce. The aim of this report to examine incidence patients glioblastoma England, assess influence gender, age, geographical region on outcome.MethodsA search strategy encompassing all coded GBM treated from January 2007 December 2011 was obtained linkage between National Cancer...
To evaluate the impact of faecal immunochemical testing (FIT) prioritisation to mitigate delays in colorectal cancer (CRC) urgent diagnostic (2-week-wait (2WW)) pathway consequent from COVID-19 pandemic.
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.
Introduction Scope and purpose Methodology Guideline development process Patient involvement GRADE Good practice points Dissemination implementation updates date of next review Summary Key recommendations References Recommendaations/good auditable outcomes Kaposi sarcoma (KS) Diagnosis, staging prognosis Management Prevention Local therapy Radiotherapy Other local therapies Systemic HAART Cytotoxic chemotherapy Liposomal anthracyclines Taxanes Immunotherapy systemic AIDS-related non-Hodgkin...
From the
Abstract Purpose: Patients with recurrent high-grade gliomas (HGG) are usually managed alkylating chemotherapy ± bevacizumab. However, prognosis remains very poor. Preclinically, we showed that HGGs a target for arginine depletion pegargiminase (ADI-PEG20) due to epimutations of argininosuccinate synthetase (ASS1) and/or lyase (ASL). Moreover, ADI-PEG20 disrupts pyrimidine pools in ASS1-deficient HGGs, thereby impacting sensitivity the antifolate, pemetrexed. and Methods: We expanded phase I...
GSK2256098 is a novel oral focal adhesion kinase (FAK) inhibitor. Preclinical studies demonstrate growth inhibition in glioblastoma cell lines. However, rodent indicate limited blood–brain barrier (BBB) penetration. In this expansion cohort within phase I study, the safety, tolerability, pharmacokinetics (PK), and clinical activity of were evaluated patients with recurrent glioblastoma. Biodistribution kinetics [11C]GSK2256098 assessed substudy using positron-emission tomography (PET)....
Current treatment outcome of patients with glioblastoma (GBM) remains poor. Following standard therapy, recurrence is universal limited survival. Tumors from 173 GBM are analysed for somatic mutations to generate a personalized peptide vaccine targeting tumor-specific neoantigens. All were treated within the scope an individual healing attempt. Among all vaccinated patients, including 70 prior progression (primary) and 103 after (recurrent), median overall survival first diagnosis 31.9...
Malignant spinal cord compression (mSCC) is one of the most serious complications cancer. Recent NICE guidance has aimed to improve patient pathways and outcomes for patients with mSCC. We have examined current presentations, management mSCC in West London following implementation guidance.The electronic records clinical notes were reviewed all assessed confirmed or potential at Charing Cross Hospital 2012. Details on number referrals, proportion mSCC, cancer diagnosis, treatment outcome...
ABSTRACT Background Cancer diagnostics and surgery have been disrupted by the response of healthcare services to COVID-19 pandemic. Progression cancers during delay will impact on patient long-term survival. Methods We generated per-day hazard ratios cancer progression from observational studies applied these age-specific, stage-specific survival for England 2013-2017. modelled per-patient three months six periods disruption one year two years. Using resource costing, we contextualise...
Glioblastoma (GBM) represents 80% of all primary malignant brain tumours in adults. Prognosis is poor, and there a clear correlation between disease progression deterioration functional status. In this pilot study we assess whether can estimate free survival (PFS) from routinely collected electronic healthcare data. We identified fifty patients with glioblastoma who had chemo-radiotherapy. For each patient manually reference data set recording demographics, surgery, radiotherapy,...
There is evidence that surgeons who perform more operations have better outcomes. However, in patients with brain tumours, all of the comes from USA. We examined English an intracranial neoplasm had resection 2008–2010. included performed at least six over 3 years, and one operation first last 6 months period. The analysis data set comprised 9194 operations, 163 consultant neurosurgeons 30 centres. Individual surgeon volumes varied widely (7–272; median=46). 72% were on brain, day mortality...
Purpose: Meningiomas are the commonest predominantly non-malignant brain tumour in adults. The use of surgery appears to be increasing, and outcomes thought good, but whole nation data for England is scarce. aim this report examine epidemiology patients operated cranial spinal meningioma England, assess associations between gender, age, site (cranial or spinal), grade.Material methods: A search strategy encompassing all coded with treated January 1999 December 2013 was obtained from linkage...
Abstract Background Glioblastoma is the commonest malignant brain tumour. Sarcopenia associated with worse cancer survival, but manually quantifying muscle on imaging time-consuming. We present a deep learning-based system for quantification of temporalis muscle, surrogate skeletal mass, and assess its prognostic value in glioblastoma. Methods A neural network segmentation was trained 366 MRI head images from 132 patients 4 different glioblastoma data sets used to quantify cross-sectional...
Abstract The incidence of Intracranial Metastatic Disease (IMD) continues to increase in part due improvements systemic therapy resulting durable control extra-cranial disease (ECD). Contrast-enhanced Magnetic Resonance Imaging (CE-MRI) is the preferred method for imaging IMD, but has limitations particularly follow-up surveillance scans optimise patient care. We investigate a new diagnostic approach hybrid ([ 18 ]F]fluoropivalate (FPIA) Positron Emission Tomography-multiparametric MRI (PET-...
Quasi-randomization approaches estimate latent participation probabilities for units from a nonprobability / convenience sample. Estimation of allows their combination with the randomized survey sample to form weighted domain estimate. One leverages estimation under expectation that precision and bias will improve relative solely using sample; however, are very different in covariate support may inflate or variance. This paper develops method threshold exclude minimize variance resulting...