COVID-19 associated parotitis.

As the 2019 coronavirus pandemic has unfolded, an increasing number of atypical presentations of COVID-19 have been reported. As patients with COVID-19 often present to emergency departments for initial care, it is important that emergency clinicians are familiar with these atypical presentations in order to prevent disease transmission. We present a case of a 21-year-old woman diagnosed in our ED with COVID-19 associated parotitis and review the epidemiology and management of parotitis. We discuss the importance of considering COVID-19 in the differential of parotitis and other viral-associated syndromes and emphasize the importance of donning personal protective equipment during the initial evaluation.

Sonographic Diagnosis of Velamentous and Marginal Placental Cord Insertion.

Routine second trimester ultrasound (US) examinations include an assessment of the umbilical cord given its vital role as a vascular conduit between the maternal placenta and fetus during fetal development. Placental cord insertion abnormalities can be identified during prenatal US screening and are increasingly recognized as independent risk factors for various complications during pregnancy and delivery. The purpose of this pictorial review is to illustrate examples of velamentous and marginal placental cord insertion with an emphasis on how to differentiate their morphology using color Doppler US.

Datafish Multiphase Data Mining Technique to Match Multiple Mutually Inclusive Independent Variables in Large PACS Databases.

Retrospective data mining has tremendous potential in research but is time and labor intensive. Current data mining software contains many advanced search features but is limited in its ability to identify patients who meet multiple complex independent search criteria. Simple keyword and Boolean search techniques are ineffective when more complex searches are required, or when a search for multiple mutually inclusive variables becomes important. This is particularly true when trying to identify patients with a set of specific radiologic findings or proximity in time across multiple different imaging modalities. Another challenge that arises in retrospective data mining is that much variation still exists in how image findings are described in radiology reports. We present an algorithmic approach to solve this problem and describe a specific use case scenario in which we applied our technique to a real-world data set in order to identify patients who matched several independent variables in our institution's picture archiving and communication systems (PACS) database.