Purpose The coronavirus disease 2019 (COVID-19) pandemic has led to significant disruptions in the healthcare system including surges of infected patients exceeding local capacity, closures of primary care offices, and delays of non-emergent medical care. Government-initiated measures to decrease healthcare utilization (i.e., "flattening the curve") have included shelterin-place mandates and social distancing, which have taken effect across most of the USA. We evaluate the immediate impact of the Public Health Messaging and shelter-in-place mandates on Emergency Department (ED) demand for radiology services. Methods We analyzed ED radiology volumes from the five University of California health systems during a 2-week time period following the shelter-in-place mandate and compared those volumes with March 2019 and early April 2019 volumes. Results ED radiology volumes declined from the 2019 baseline by 32 to 40% (p < 0.001) across the five health systems with a total decrease in volumes across all 5 systems by 35% (p < 0.001). Stratifying by subspecialty, the smallest declines were seen in non-trauma thoracic imaging, which decreased 18% (p value < 0.001), while all other non-trauma studies decreased by 48% (p < 0.001). Conclusion Total ED radiology demand may be a marker for public adherence to shelter-in-place mandates, though ED chest radiology demand may increase with an increase in COVID-19 cases.

No abstract

To develop a deep learning model to delineate the transition zone (TZ) and peripheral zone (PZ) of the prostate on MR images. Materials and Methods:This retrospective study was composed of patients who underwent a multiparametric prostate MRI and an MRI/ transrectal US fusion biopsy between January 2013 and May 2016. A board-certified abdominal radiologist manually segmented the prostate, TZ, and PZ on the entire data set. Included accessions were split into 60% training, 20% validation, and 20% test data sets for model development. Three convolutional neural networks with a U-Net architecture were trained for automatic recognition of the prostate organ, TZ, and PZ. Model performance for segmentation was assessed using Dice scores and Pearson correlation coefficients.Results: A total of 242 patients were included (242 MR images; 6292 total images). Models for prostate organ segmentation, TZ segmentation, and PZ segmentation were trained and validated. Using the test data set, for prostate organ segmentation, the mean Dice score was 0.940 (interquartile range, 0.930-0.961), and the Pearson correlation coefficient for volume was 0.981 (95% CI: 0.966, 0.989). For TZ segmentation, the mean Dice score was 0.910 (interquartile range, 0.894-0.938), and the Pearson correlation coefficient for volume was 0.992 (95% CI: 0.985, 0.995). For PZ segmentation, the mean Dice score was 0.774 (interquartile range, 0.727-0.832), and the Pearson correlation coefficient for volume was 0.927 (95% CI: 0.870, 0.957). Conclusion:Deep learning with an architecture composed of three U-Nets can accurately segment the prostate, TZ, and PZ.

Intravesical Bacillus Calmette–Guerin (BCG) immunotherapy is a proven, effective treatment for intermediate- and high-risk non-muscle-invasive bladder cancer. Minor side effects are common and expected but systemic effects can occur in <5% of treated patients. We present a rare case of a 49-year-old male that presented with fever and chills after 3 weeks of intravesical BCG therapy post transurethral resection of bladder tumor. New renal lesions were present on contrast-enhanced computed tomography scan which was histologically proven to be necrotizing renal granulomatosis.

No abstract

We report a case of a 50-year-old man with a history of liver cirrhosis and colon cancer post end colostomy presenting to the emergency department with stomal bleeding and passage of clots into the colostomy bag. The patient was treated with transjugular intrahepatic portosystemic shunt (TIPS) and concomitant embolization of the stomal varices via the TIPS shunt using N-butyl cyanoacrylate mixed with ethiodol. Although stomal variceal bleeding is uncommon, this entity can have up to 40% mortality upon initial presentation, given the challenges in diagnosis and management. Currently, there are no established standard treatments for stomal variceal bleeding. In addition, to the best of our knowledge, there are no cases in the current literature in which treatment of this entity is performed with a combination of TIPS shunt placement and N-butyl cyanoacrylate variceal embolization.

No abstract

Purpose: Postprocedure epidural analgesia has a proven benefit over intravenous (i.v.) analgesia for pain management, but has not yet been demonstrated for uterine fibroid embolization (UFE). The objectives of this clinical audit were to determine if epidural patient-controlled analgesia (PCA) was beneficial to patient outcome as compared to i.v. PCA in decreasing parenteral opioid requirements and its associated side effects and determine if there is a difference in required oral opioids after the PCA is stopped. Materials and Methods: This manuscript audited postprocedural pain management of 51 patients after UFE was performed. 20 patients received an i.v. PCA for post-UFE pain control and 31 received an epidural PCA for post-UFE pain control. Total hydromorphone dose, the frequency of anti-nausea medication use, the frequency of anti-pruritus medication use, and patient pain satisfaction data was collected. Results: Total hydromorphone dose administered to patients post-UFE using epidural PCA was significantly less than patients using an i.v. PCA ( P = 0.001). However, the frequency of nausea and pruritus between the two groups did not achieve statistical significance with ( P = 0.663) and ( P = 0.639) respectively. Conclusion: Our clinical audit found that parenteral opioid requirements administered after UFE can be significantly reduced by using epidural PCA instead of i.v. PCA. However, we found no statistically significant difference in medication related side effects or oral opioid use thereafter.