Search

The first cluster of cases of COVID-19 pneumonia was reported on December 31, 2019. Since then, this disease has spread rapidly across the world, and as of September 17, 2021, there are 226,844,344 cases of COVID-19 worldwide with 4,666,334 deaths related to COVID-19. While most COVID-19 cases are mild, some cases are severe with patients developing acute respiratory distress syndrome (ARDS). The pathophysiology of ARDS includes damage to the alveolar epithelium that leads to increased permeability of the alveolar epithelial barrier causing hyaline membrane formation, interstitial edema, and alveolar edema that results in severe hypoxia. Patients with COVID-19 ARDS are supported by non-invasive or invasive mechanical ventilation with an aim to improve oxygenation and maintain adequate blood oxygen levels. Increased intra-alveolar pressure while on mechanical ventilation may lead to alveolar rupture and thus barotrauma-related injuries such as lung tension cysts, pulmonary interstitial emphysema (PIE), pneumomediastinum, pneumopericardium, and pneumothorax. Recent studies have shown that the rate of barotrauma-related events is higher in patients with COVID-19 ARDS compared to patients with ARDS secondary to other etiologies. Radiologists should be aware of the imaging features of COVID-19 ARDS as well as the complications of mechanical ventilation. This educational manuscript will review the features of COVID-19 ARDS, discuss imaging of patients on mechanical ventilation, and review the imaging features of complications related to mechanical ventilation, including ventilator-associated lung injuries.

To recognize most common patterns of upper extremity (UE) injuries in victims of Intimate Partner Violence (IPV). Radiological review of 308 patients who reported physical IPV at our institution from January 2013 to June 2018, identified 55 patients with 88 unique UE injuries. Demographic data and injury patterns and associations were collected from the electronic medical records. The cohort included 49 females and 6 males (age 19–63, mean 38). At the time of injury, IPV was reported in 15/88 (17%) and IPV screening was documented for 22/88 (25%) injuries. There were 46 fractures, 8 dislocations or subluxations, and 34 isolated soft tissue injuries, most commonly involving the hand (56/88). Fractures most commonly involved the fingers (21/46, 46%) and the 5th digit (8/27, 30%). Medial UE fractures (5th digit, 4th digit) constituted 44% of hand and finger fractures (12/27) and 26% of all fractures (12/46). Comminuted and displaced fractures were rare (8/46, 17%). Head and face injuries were the most common concomitant injuries (9/22, 41%) and subsequent injuries (21/61, 35%). Of 12 patients with recurrent UE injuries, 6 had recurrent injuries of the same hand. Five of 6 non-acute fractures (83%) were of the hand. Hand and finger injuries are the most common UE injuries in patients with IPV, with finger being the most common site and medial hand the most common region of fracture. Repeated injuries involving the same site and a combination of medial hand and head or face injuries could indicate IPV. • Upper extremity injuries in victims of intimate partner violence are most commonly seen in the hand and fingers. • Fingers are the most common site of fracture and the medial hand is the most common region of fracture in the upper extremity in victims of intimate partner violence. • In intimate partner violence victims with upper extremity injuries, concomitant injuries and subsequent injuries are most commonly seen in the head and neck region.

Background Intimate partner violence (IPV) is a global social and public health problem, but published literature regarding the exacerbation of physical IPV during the coronavirus disease 2019 (COVID-19) pandemic is lacking. Purpose To assess the incidence, patterns, and severity of injuries in IPV victims during the COVID-19 pandemic in 2020 compared with the prior 3 years. Materials and Methods The demographics, clinical presentation, injuries, and radiologic findings of patients reporting physical abuse arising from IPV during the statewide COVID-19 pandemic between March 11 and May 3, 2020, were compared with data from the same period for the past 3 years. Pearson χ2 and Fisher exact tests were used for analysis. Results A total of 26 victims of physical IPV from 2020 (mean age, 37 years ± 13 [standard deviation]; 25 women) were evaluated and compared with 42 victims of physical IPV (mean age, 41 years ± 15; 40 women) from 2017 to 2019. Although the overall number of patients who reported IPV decreased during the pandemic, the incidence of physical IPV was 1.8 times greater (95% CI: 1.1, 3.0; P = .01). The total number of deep injuries was 28 during 2020 versus 16 from 2017 to 2019; the number of deep injuries per victim was 1.1 during 2020 compared with 0.4 from 2017 to 2019 (P < .001). The incidence of high-risk abuse defined by mechanism was two times greater in 2020 (95% CI: 1.2, 4.7; P = .01). Patients who experienced IPV during the COVID-19 pandemic were more likely to be White; 17 (65%) victims in 2020 were White compared with 11 (26%) in the prior years (P = .007). Conclusion There was a higher incidence and severity of physical intimate partner violence (IPV) during the coronavirus disease 2019 (COVID-19) pandemic compared with the prior 3 years. These results suggest that victims of IPV delayed reaching out to health care services until the late stages of the abuse cycle during the COVID-19 pandemic. © RSNA, 2020.

Intimate partner violence (IPV) is an urgent, prevalent, and under-detected public health issue. We present machine learning models to assess patients for IPV and injury. We train the predictive algorithms on radiology reports with 1) IPV labels based on entry to a violence prevention program and 2) injury labels provided by emergency radiology fellowship-trained physicians. Our dataset includes 34,642 radiology reports and 1479 patients of IPV victims and control patients. Our best model predicts IPV a median of 3.08 years before violence prevention program entry with a sensitivity of 64% and a specificity of 95%. We conduct error analysis to determine for which patients our model has especially high or low performance and discuss next steps for a deployed clinical risk model.

Intimate partner violence (IPV) is an urgent, prevalent, and under-detected public health issue. We present machine learning models to assess patients for IPV and injury. We train the predictive algorithms on radiology reports with 1) IPV labels based on entry to a violence prevention program and 2) injury labels provided by emergency radiology fellowship-trained physicians. Our dataset includes 34,642 radiology reports and 1479 patients of IPV victims and control patients. Our best model predicts IPV a median of 3.08 years before violence prevention program entry with a sensitivity of 64% and a specificity of 95%. We conduct error analysis to determine for which patients our model has especially high or low performance and discuss next steps for a deployed clinical risk model.

The duodenum, the first portion of the small bowel, is divided into four segments and extends to both retro- and intraperitoneal spaces. Some conditions arise primarily from the duodenum, but it can be secondarily affected by processes that involve neighboring structures. When duodenal emergencies are not identified and treated promptly, they may result in high morbidity and mortality. Imaging plays an important role in the diagnosis of duodenal conditions in the acute setting. However, the radiologic findings can be subtle, and awareness of relevant patient history and clinical presentation is important as it may increase the index of suspicion and one's ability to diagnose these conditions. Duodenal peptic disease is common and can be complicated by bleeding and perforation. The duodenum can be secondarily involved by pancreatitis and gallbladder pathologic conditions and may be affected by iatrogenic complications following endoscopic procedures. Traumatic injuries to the duodenum are generally uncommon, with penetrating traumatic injury being the most frequent mechanism of injury. Duodenal vascular pathologic conditions such as aortoduodenal fistula are uncommon but can be life threatening. The knowledge of which pathologic condition can involve which duodenal segment can help the radiologist establish a differential diagnosis and achieve a more targeted imaging approach.

Purpose To describe the incidence and patterns of the spinal injuries in the victims of physical IPV. Materials and methods With institutional review board (IRB) approval, we retrospectively reviewed patients referred to our institution’s domestic violence intervention and prevention program with a diagnosis directly related to physical abuse between January 2013 and June 2018. Electronic health records and radiology reports were reviewed for all patients. Results A total of 21/688 (3%) IPV patients with 41 vertebral injuries were identified. The study population comprised of 19/21 (90%) females. Median age of the included patients was 43 years with a range of 21–72 years. All vertebral injuries were AO type A spinal injuries. Upper lumbar spine (L1 and L2) was the most common level of injury followed by upper to mid-thoracic spine. The reported mechanism of the injury was IPV in 8/21 (38.0%), fall in 8/21(38.0%), and incidental in 5/21 (24.0%). Ten out of 21 (48%) patients had concomitant injuries, most commonly to the craniofacial region 5/21 (23%). Psychiatry history was positive in 17/21 (81%), and substance abuse was positive in 15/21 (71%) of the patients. Conclusion Incidence of spinal injuries is relatively low in IPV with morphologic AO type A injury being the most common type of injury and the upper lumbar spine being the most common level of injury.

Dual-energy CT is increasingly being used in the emergency department to help diagnose acute conditions. Its applications include demonstrating bone marrow edema (BME) seen in the setting of occult fractures and other acute conditions. Dual-energy CT acquires data with two different x-ray energy spectra and is able to help differentiate materials on the basis of their differential energy-dependent x-ray absorption behaviors. Virtual noncalcium (VNCa) techniques can be used to suppress the high attenuation of trabecular bone, thus enabling visualization of subtle changes in the underlying attenuation of the bone marrow. Visualization of BME can be used to identify occult or mildly displaced fractures, pathologic fractures, metastases, and some less commonly visualized conditions such as ligamentous injuries or inflammatory arthritis. The authors' major focus is use of dual-energy CT as a diagnostic modality in the setting of trauma and to depict subtle or occult fractures. The authors also provide some scenarios in which dual-energy CT is used to help diagnose other acute conditions. The causes and pathophysiology of BME are reviewed. Dual-energy CT image acquisition and VNCa postprocessing techniques are also discussed, along with their applications in emergency settings. The authors present potential pitfalls and limitations of these techniques and their possible solutions.©RSNA, 2020.

Human rhinovirus is responsible for the majority of virus-induced asthma exacerbations. To determine the immunologic mechanisms underlying rhinovirus (RV)-induced asthma exacerbations, we combined mouse models of allergic airways disease and human rhinovirus infection. We inoculated OVA-sensitized and challenged BALB/c mice with rhinovirus serotype 1B, a minor group strain capable of infecting mouse cells. Compared with sham-infected, OVA-treated mice, virus-infected mice showed increased lung infiltration with neutrophils, eosinophils and macrophages, airway cholinergic hyperresponsiveness, and increased lung expression of cytokines including eotaxin-1/CCL11, IL-4, IL-13, and IFN-γ. Administration of anti–eotaxin-1 attenuated rhinovirus-induced airway eosinophilia and responsiveness. Immunohistochemical analysis showed eotaxin-1 in the lung macrophages of virus-infected, OVA-treated mice, and confocal fluorescence microscopy revealed colocalization of rhinovirus, eotaxin-1, and IL-4 in CD68-positive cells. RV inoculation of lung macrophages from OVA-treated, but not PBS-treated, mice induced expression of eotaxin-1, IL-4, and IL-13 ex vivo. Macrophages from OVA-treated mice showed increased expression of arginase-1, Ym-1, Mgl-2, and IL-10, indicating a shift in macrophage activation status. Depletion of macrophages from OVA-sensitized and -challenged mice reduced eosinophilic inflammation and airways responsiveness following RV infection. We conclude that augmented airway eosinophilic inflammation and hyperresponsiveness in RV-infected mice with allergic airways disease is directed in part by eotaxin-1. Airway macrophages from mice with allergic airways disease demonstrate a change in activation state characterized in part by altered eotaxin and IL-4 production in response to RV infection. These data provide a new paradigm to explain RV-induced asthma exacerbations.