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Feasibility of very low iodine dose aortoiliac CT angiography using dual-source photon-counting detector CT.
Eur J Radiol
January 2025
Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA. Electronic address:
Purpose: To evaluate the feasibility of aortoiliac CT-Angiography (CTA) using dual-source photon-counting detector (PCD)-CT with minimal iodine dose.
Methods: This IRB-approved, single-center prospective study enrolled patients with indications for aortoiliac CTA from December 2022 to March 2023. All scans were performed using a first-generation dual-source PCD-CT.
Gastroesophageal Reflux in Infants and Children: Diagnosis and Treatment.
Am Fam Physician
January 2025
Duke University School of Medicine, Durham, N.C.
Gastroesophageal reflux is a common physiologic event in infants in which gastric contents pass from the stomach into the esophagus. Gastroesophageal reflux may be asymptomatic or cause regurgitation or "spit up." This occurs daily in approximately 40% of infants.
View Article and Find Full Text PDFAt what cycle threshold level are dogs able to detect SARS-CoV-2 in humans?
PLoS One
January 2025
Instituto de Biología, Universidad Nacional Autónoma de México (UNAM), México City, México.
Dogs can discriminate between people infected with SARS-CoV-2 from those uninfected, although their results vary depending on the settings in which they are exposed to infected individuals or samples of urine, sweat or saliva. This variability likely depends on the viral load of infected people, which may be closely associated with physiological changes in infected patients. Determining this viral load is challenging, and a practical approach is to use the cycle threshold (Ct) value of a RT-qPCR test.
View Article and Find Full Text PDFGlaucoma detection and staging from visual field images using machine learning techniques.
PLoS One
January 2025
School of Optometry and Vision Science, UNSW Sydney, Sydney, New South Wales, Australia.
Purpose: In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.
Methods: A total of 265 PD plots and 265 numerical datasets of Humphrey 24-2 VF images were collected from 119 normal and 146 glaucomatous eyes to train the DL models to classify the images into four groups: normal, early glaucoma, moderate glaucoma, and advanced glaucoma.
Concordance of non-invasive plasma cell-free DNA with invasive diagnostics for diagnosis of invasive fungal disease.
Clin Infect Dis
January 2025
Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Background: Mold plasma cell-free DNA (cfDNA) PCR is a promising non-invasive diagnostic modality for early diagnosis of invasive mold disease (IMD) in immunocompromised patients. Although mold cfDNA PCR has been shown to be highly accurate, the value of invasive procedures to collect specimens for conventional fungal diagnostics following plasma cfDNA testing remains unclear.
Methods: This retrospective single-center cohort study included patients with mold plasma cfDNA PCR performed 7 days before or 2 days after invasive specimen collection.
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