Publications by authors named "Chris Rowland-Hill"
Article Synopsis
- 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.
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.
The management of elderly patients with glioblastoma-multiforme (GBM) remains poorly defined with many experts in the past advocating best supportive care, in view of limited evidence on efficacy of more aggressive treatment protocols. There is randomised evidence (NORDIC and NA-O8 studies) to support the use of surgery followed by adjuvant monotherapy with either radiotherapy (RT) using hypofractionated regimes (e.g.
View Article and Find Full Text PDFAcute ischaemic stroke is the second largest cause of death worldwide and a cause of major physical and psychological morbidity. Current evidence based treatment includes intravenous thrombolysis (IVT) and mechanical thrombectomy (MT), both requiring careful patient selection and to be administered as quickly as possible within a limited time window from symptom onset. Imaging plays a crucial role identifying patients who may benefit from MT or IVT whilst excluding those that may be harmed.
View Article and Find Full Text PDFA 73-year-old female with a history of metastatic melanoma presented with extensive intracranial subarachnoid haemorrhage. Cranial imaging failed to reveal any vascular anomaly or tumour. MRI of the neuroaxis revealed a melanoma metastasis at T10 with associated subarachnoid haemorrhage.
View Article and Find Full Text PDFA young woman, known to have Sturge-Weber syndrome, was admitted with headache and left hemiparesis. Neuroimaging showed chronic occlusion of the venous sinuses without evidence of acute thrombus formation, or a recent vascular event.
View Article and Find Full Text PDFContext: Octreotide causes significant tumour shrinkage in patients with acromegaly but the exact mechanism of action is unclear in vivo.
Objective: To determine the mechanism of action of octreotide in vivo using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).
Design: Five patients with acromegaly were treated with octreotide as primary medical therapy.