Publications by authors named "S R Teague"
Article Synopsis
- Idiopathic pulmonary fibrosis (IPF) is a complex disease, and variations in genetic profiles might influence unique clinical and imaging characteristics.
- Computational image analysis, or radiomics, provides a way to quantify and analyze CT scan features objectively in patients with pulmonary fibrosis.
- The study found that certain genetic variants correlated with deep learning-based classifications of the usual interstitial pneumonia (UIP) pattern on CT, suggesting that advanced imaging analysis could help in understanding genotype-phenotype relationships in lung diseases.
Background: Quantitative CT imaging may be a useful predictor of outcome in rheumatoid arthritis-related interstitial lung disease (RA-ILD).
Research Question: What is the utility of deep learning-based lung fibrosis quantitation on CT imaging in assessing disease severity, predicting mortality, and identifying progression in RA-ILD?.
Study Design And Methods: CT scans on a primary cohort of 289 patients and a validation cohort of 50 individuals with RA-ILD were assessed quantitatively by using the data-driven texture analysis (DTA) method.
Moving in straight lines is a behaviour that enables organisms to search for food, move away from threats, and ultimately seek suitable environments in which to survive and reproduce. This study explores a vision-based technique for detecting a change in heading direction using the Milky Way (MW), one of the navigational cues that are known to be used by night-active insects. An algorithm is proposed that combines the YOLOv8m-seg model and normalised second central moments to calculate the MW orientation angle.
View Article and Find Full Text PDFMany young people are exposed to risk factors that increase their risk of mental illness. Physical activity provision is an increasingly popular approach to protect against mental illness in the face of these risk factors. We examined the effectiveness of physical activity interventions for the promotion of mental health outcomes in at-risk children and adolescents.
View Article and Find Full Text PDFArticle Synopsis
- Three-dimensional echocardiography (3D ECHO) and magnetic resonance (MR) imaging are used to assess heart function in patients and animals.
- A study was conducted using swine models to compare myocardial contractility and left ventricular (LV) geometry derived from both imaging techniques.
- The results indicate a strong correlation between contractility and volume measurements from 3D ECHO and MR images, suggesting that 3D ECHO can reliably estimate myocardial contractility.