Data from Stanford University Provide New Insights into Biomarkers (Abdominal Ct Metrics In 17,646 Patients Reveal Associations Between Myopenia, Myosteatosis, and Medical Phenotypes: a Phenome-wide Association Study).
In: Medical Imaging Week, 2024-06-22, S. 1258-1258
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A recent study conducted at Stanford University explored the associations between body composition biomarkers and medical phenotypes using a phenome-wide association study (PheWAS) methodology. The researchers used an automated deep learning pipeline to measure skeletal muscle metrics from abdominal CT scans and performed logistic regression to assess associations with electronic health record (EHR)-derived medical phenotypes. The study found significant associations between CT-derived biomarkers of myopenia and myosteatosis and various medical phenotypes, including cardiac dysrhythmias, epilepsy, prostate-specific antigen levels, decubitus ulcers, sleep disorders, and osteomyelitis. The researchers concluded that the PheWAS technique can generate research hypotheses related to these biomarkers and can be adapted for other imaging biomarkers and EHR medical phenotypes. [Extracted from the article]
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Data from Stanford University Provide New Insights into Biomarkers (Abdominal Ct Metrics In 17,646 Patients Reveal Associations Between Myopenia, Myosteatosis, and Medical Phenotypes: a Phenome-wide Association Study).
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Zeitschrift: | Medical Imaging Week, 2024-06-22, S. 1258-1258 |
Veröffentlichung: | 2024 |
Medientyp: | serialPeriodical |
ISSN: | 1552-9355 (print) |
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