Publications by authors named "O L Tan"
Article Synopsis
- The study aimed to differentiate multiple sclerosis (MS) from glaucoma using nerve fiber layer (NFL) thinning patterns in the eye.
- Researchers analyzed NFL thickness in MS and glaucoma patients by measuring sector-specific reductions compared to normative values and created diagnostic indexes for evaluation.
- Results indicated that MS showed significant thinning in the temporal sectors, while glaucoma showed thinning in inferior and superior sectors, with a specific index achieving high accuracy in differentiating the two diseases.
The spatiotemporal pattern of surface displacements from large earthquakes provides crucial insights about the deformation of Earth's crust at various scales and the interactions among tectonic plates. However, the lack of extensive and large-scale geodetic networks near such seismic events hinders our thorough understanding of the large-scale crustal deformation resulting from earthquakes. Using Türkiye's extensive and continuous global navigation satellite system (GNSS) network during the moment magnitude 7.
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- Embedding precision medicine in pediatric oncology aims to improve treatment for children with cancer, showing promising potential for future care.
- The first comprehensive study in Australia evaluates the costs associated with implementing precision medicine for high-risk childhood cancers, specifically through the Zero Childhood Cancer Precision Medicine Programme.
- The estimated costs in 2021 Australian dollars are $12,743 per patient for access, $14,262 for identifying the molecular cause, and $21,769 for making recommendations, providing valuable insights for clinical management strategies.
Purpose: To measure low perfusion area (LPA) and focal perfusion loss (FPL) in the macula using optical coherence tomography (OCT) angiography (OCTA) for glaucoma.
Design: Prospective, cross-sectional "case-control" comparison study.
Methods: A total of 60 patients with primary open-angle glaucoma (POAG) and 37 healthy participants were analyzed.
PrÉcis: A hybrid deep-learning model combines NFL reflectance and other OCT parameters to improve glaucoma diagnosis.
Objective: To investigate if a deep learning model could be used combine nerve fiber layer (NFL) reflectance and other OCT parameters for glaucoma diagnosis.
Patients And Methods: This is a prospective observational study where of 106 normal subjects and 164 perimetric glaucoma (PG) patients.