Publications by authors named "D F MAGEE"
Background: Regional lymph node (LN) status is a key prognostic factor in oesophageal cancer (OeC). Tumour-derived antigens can activate immune reactions in LNs, potentially reflecting the host's anti-tumour immune response. It remains unclear whether this response is homogeneous across all tumour negative LNs (LNneg) within individual OeC patients.
View Article and Find Full Text PDFObjective: We aim to demonstrate the versatility of the All of Us database as an important source of rare and undiagnosed disease (RUD) data, because of its large size and range of data types.
Materials And Methods: We searched the public data browser, electronic health record (EHR), and several surveys to investigate the prevalence, mental health, healthcare access, and other data of select RUDs.
Results: Several RUDs have participants in All of Us [eg, 75 of 100 rare infectious diseases (RIDs)].
Context.—: The current melanoma staging system does not account for 26% of the variance seen in melanoma-specific survival, therefore our ability to predict patient outcome is not fully elucidated. Morphology may be of greater significance than in other solid tumors, with Breslow thickness remaining the strongest prognostic indicator despite being subject to high levels of interobserver variation.
View Article and Find Full Text PDFArticle Synopsis
- Recent observations from the James Webb Space Telescope (JWST) have found many massive-galaxy candidates in the early Universe, stretching further back in time and at lower brightness levels than previously seen.
- These findings initially posed challenges to the Λ cold dark-matter model, but the new study's results show no significant conflicts when accounting for spectroscopic redshifts.
- The research highlights three ultra-massive galaxies that convert a notably high percentage of baryons into stars, suggesting they play a significant role in cosmic star-formation rates at redshifts 5 to 6.
Objective: To assess the capability of determining the mixed chemical composition of urinary stones using spectral imaging properties of Dual Energy Computed Tomography (DECT) Gemstone Spectral Imaging (GSI) software.
Material And Methods: Twenty-six single and 24 mixed composition ex vivo urinary stones with known chemical composition determined by Fourier-transform infrared spectroscopy (FTIR) prior to this project were scanned with DECT imaging and GSI in vitro. The major components of the stones included Uric Acid (UA), Calcium Oxalate (CaOx), Calcium Phosphate (CaP), Magnesium Ammonium Phosphate (MAP), and Cystine (Cys).