A large-scale proteomics resource of circulating extracellular vesicles for biomarker discovery in pancreatic cancer.

Pancreatic cancer has the worst prognosis of all common tumors. Earlier cancer diagnosis could increase survival rates and better assessment of metastatic disease could improve patient care. As such, there is an urgent need to develop biomarkers to diagnose this deadly malignancy.

Incidentally detected pancreatic duct dilatation on ultrasound and role of MRI.

Objective: The clinical significance of incidentally detected pancreatic duct (PD) dilatation at ultrasound (US) without a visualized underlying cause is unclear. We aimed to assess the role of subsequent MRI (including MRCP) and to identify US imaging and laboratory findings predictive of underlying pancreaticobiliary malignancy at the time of initial US.

Materials And Methods: Patients with incidentally detected PD dilatation at ultrasound from 2011 to 2019 that had an ensuing MRI were included.

A Large-Scale Proteomics Resource of Circulating Extracellular Vesicles for Biomarker Discovery in Pancreatic Cancer.

Pancreatic cancer has the worst prognosis of all common tumors. Earlier cancer diagnosis could increase survival rates and better assessment of metastatic disease could improve patient care. As such, there is an urgent need to develop biomarkers to diagnose this deadly malignancy.

Factors Affecting Adherence to Outpatient Radiology Report Recommendations.

Purpose: To identify factors associated with adherence to radiology follow-up recommendations by the referring physicians.

Materials And Methods: In this retrospective study, CT, ultrasound, and MRI reports with the keyword "recommend" and synonyms between March 11, 2019, and March 29, 2019, were included. Emergency department and inpatient examinations and routine surveillance recommendations, such as lung nodules, were excluded.

Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer- A recipe for your local application.

Background: Body composition is associated with mortality; however its routine assessment is too time-consuming.

Purpose: To demonstrate the value of artificial intelligence (AI) to extract body composition measures from routine studies, we aimed to develop a fully automated AI approach to measure fat and muscles masses, to validate its clinical discriminatory value, and to provide the code, training data and workflow solutions to facilitate its integration into local practice.

Methods: We developed a neural network that quantified the tissue components at the L3 vertebral body level using data from the Liver Tumor Challenge (LiTS) and a pancreatic cancer cohort.

The utility of magnetic resonance imaging for noninvasive evaluation of diabetic nephropathy.

Background: Noninvasive quantitative measurement of fibrosis in chronic kidney disease (CKD) would be desirable diagnostically and therapeutically but standard radiologic imaging is too variable for clinical usage. By applying a vibratory force, tissue shear wave stiffness can be measured by magnetic resonance elastography (MRE) that may correlate with progression of kidney fibrosis. Since decreased kidney perfusion decreases tissue turgor and stiffness, we combined newly available three-dimensional MRE shear stiffness measurements with MR arterial spin labeling (ASL) kidney blood flow rates to evaluate fibrosis in diabetic nephropathy.

Migrating to the Modern PACS: Challenges and Opportunities.

With progressive advancements in picture archiving and communication system (PACS) technology, radiology practices frequently look toward system upgrades and replacements to further improve efficiency and capabilities. The transition between PACS has the potential to derail the operations of a radiology department. Careful planning and attention to detail from radiology informatics leaders are imperative to ensure a smooth transition.

High-resolution proton density weighted three-dimensional fast spin echo (3D-FSE) of the knee with IDEAL at 1.5 Tesla: comparison with 3D-FSE and 2D-FSE--initial experience.

Purpose: To assess the feasibility of combining three-dimensional fast spin echo (3D-FSE) and Iterative-decomposition-of water-and-fat-with-echo asymmetry-and-least-squares-estimation (IDEAL) at 1.5 Tesla (T), generating a high-resolution 3D isotropic proton density-weighted image set with and without "fat-suppression" (FS) in a single acquisition, and to compare with 2D-FSE and 3D-FSE (without IDEAL).

Materials And Methods: Ten asymptomatic volunteers prospectively underwent sagittal 3D-FSE-IDEAL, 3D-FSE, and 2D-FSE sequences at 1.

Static material properties of the tectorial membrane: a summary.

The tectorial membrane (TM) is a polyelectrolyte gel. Hence, its chemical, electrical, mechanical, and osmotic properties are inextricably linked. We review, integrate, and interpret recent findings on these properties in isolated TM preparations.