Publications by authors named "K Timmins"

Evidence linking adverse childhood experiences and chronic pain in adulthood is largely cross-sectional, potentially subject to recall bias and does not allow exploration of mediating pathways. We analysed a large population-based cohort (UK Biobank) using a causal framework, to determine if childhood maltreatment is related to chronic "all over" body pain in adulthood. We used doubly robust estimation with inverse probability weights to estimate the difference in risk of chronic pain "all over" between those exposed/not exposed to childhood maltreatment (abuse or neglect).

View Article and Find Full Text PDF

Background And Purpose: Prediction of aneurysm instability is crucial to guide treatment decisions and to select appropriate patients with unruptured intracranial aneurysms (IAs) for preventive treatment. High-resolution 4D MR flow imaging and 3D quantification of aneurysm morphology could offer insights and new imaging markers for aneurysm instability. In this cross-sectional study, we aim to identify 4D MR flow imaging markers for aneurysm instability by relating hemodynamics in the aneurysm sac to 3D morphologic proxy parameters for aneurysm instability.

View Article and Find Full Text PDF
Article Synopsis
  • This study focuses on automating the labeling of intracranial arteries to better identify the risks associated with unruptured intracranial aneurysms (UIAs), which can lead to serious strokes.
  • Researchers used 3D MRI scans from 150 individuals and implemented two graph convolutional network models, GCNConv and GraphConv, to classify specific artery bifurcations.
  • Findings showed significant improvements in classification accuracy with the GraphConv operator, achieving high recall and precision rates, suggesting it is the better choice for incorporating structural features in training models.
View Article and Find Full Text PDF

Background And Objectives: Patients with an unruptured intracranial aneurysm often undergo periodic imaging to detect potential aneurysm growth, which is associated with an increased rupture risk. Because prediction of rupture based on growth is moderate, morphological changes have gained interest as a risk factor for rupture. We studied 3-dimensional-quantified morphological changes over time during radiological monitoring before rupture and around rupture.

View Article and Find Full Text PDF