The Diagnostic Cockpit of the Future.

The integration of digital data from imaging, pathology, genomics, and other fields creates an opportunity to produce information-rich diagnoses, especially for complex patients. Technology exists today to create a "diagnostic cockpit" that can accept inputs from multiple sources, analyze them using artificial intelligence and other quantitative tools, and produce a precision diagnosis. Although barriers to creation and dissemination of such a cockpit exist, the metaphor provides a glimpse into the diagnostic processes of the future.

Investigation of androgen receptor-dependent alternative splicing has identified a unique subtype of lethal prostate cancer.

A complete proteomics study characterizing active androgen receptor (AR) complexes in prostate cancer (PCa) cells identified a diversity of protein interactors with tumorigenic annotations, including known RNA splicing factors. Thus, we chose to further investigate the functional role of AR-mediated alternative RNA splicing in PCa disease progression. We selected two AR-interacting RNA splicing factors, Src associated in mitosis of 68 kDa (SAM68) and DEAD (Asp-Glu-Ala-Asp) box helicase 5 (DDX5) to examine their associative roles in AR-dependent alternative RNA splicing.

Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

Medical image interpretation is central to detecting, diagnosing, and staging cancer and many other disorders. At a time when medical imaging is being transformed by digital technologies and artificial intelligence, understanding the basic perceptual and cognitive processes underlying medical image interpretation is vital for increasing diagnosticians' accuracy and performance, improving patient outcomes, and reducing diagnostician burnout. Medical image perception remains substantially understudied.

Think Like an MBA: Development, Implementation, and Evaluation of an Academic Radiology Business Series (ARBS) for Radiology Trainees.

Rationale And Objectives: To address existing educational gaps in the business of radiology and medicine, we developed, implemented, and evaluated an Academic Radiology Business Series (ARBS) as part of a longitudinal noninterpretive skills curriculum in our radiology residency program.

Materials And Methods: Mixed lecture- and discussion-based sessions were prepared and taught by content experts and radiologist-leaders at our institution in the style of a typical MBA curriculum, drawing on five core pillars: strategy, management, operations, finance, and health policy and economics. The series concluded with an interactive discussion of a Harvard Business School case study.

Facial injury patterns in victims of intimate partner violence.

Purpose: To evaluate the imaging findings of facial injuries in patients reporting intimate partner violence (IPV).

Methods: A retrospective review of radiology studies performed for 668 patients reporting IPV to our institution's violence prevention support program identified 96 patients with 152 facial injuries. Demographics, imaging findings, and clinical data obtained from a review of the electronic medical records (EMR) were analyzed to categorize injury patterns.

Longitudinal imaging history in early identification of intimate partner violence.

Objectives: To describe the imaging findings of intimate partner violence (IPV)-related injury and to evaluate the role of longitudinal imaging review in detecting IPV.

Methods: Radiology studies were reviewed in chronological order and IPV-related injuries were recorded among 400 victims of any type of abuse (group 1) and 288 of physical abuse (group 2) from January 2013 to June 2018. The likelihood of IPV was assessed as low/moderate/high based on the review of (1) current and prior anatomically related studies only and (2) longitudinal imaging history consisting of all prior studies.

Upper extremity fractures due to intimate partner violence versus accidental causes.

Purpose: The purpose of this study is to evaluate the prevalence of intimate partner violence (IPV)-related upper extremity fractures (UEF) in women presenting to US emergency departments (ED) and compare their anatomic location to those due to accidental falls or strikes.

Methods: An Institutional Review Board exempt, retrospective review of prospectively collected data was performed using the National Electronic Injury Surveillance System's All Injury Program data from 2005 through 2015 for all UEF sustained in women 15 to 54 years old. Injuries based on reported IPV versus accidental falls or strikes were analyzed accounting for the weighted, stratified nature of the data.

Recognizing Isolated Ulnar Fractures as Potential Markers for Intimate Partner Violence.

Purpose: This study aimed to assess the incidence of intimate partner violence (IPV) in women with isolated ulnar fractures and compare the injury characteristics in victims of IPV with those who sustained the same fractures due to other causes.

Methods: Electronic health records from three level I trauma centers were queried to identify a cohort of women, aged 18 to 50, sustaining isolated ulnar fractures from 2005 to 2019. Radiographs were reviewed for fracture location, comminution, and displacement.

Upper extremity injuries in the victims of intimate partner violence.

Objectives: To recognize most common patterns of upper extremity (UE) injuries in victims of Intimate Partner Violence (IPV).

Methods: 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.

Linking ACE2 and angiotensin II to pulmonary immunovascular dysregulation in SARS-CoV-2 infection.

Angiotensin-converting enzyme 2 (ACE2) is the receptor of the novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the coronavirus disease 2019 (COVID-19) pandemic. ACE2 has been shown to be down-regulated during coronaviral infection, with implications for circulatory homeostasis. In COVID-19, pulmonary vascular dysregulation has been observed resulting in ventilation perfusion mismatches in lung tissue, causing profound hypoxemia.

Exacerbation of Physical Intimate Partner Violence during COVID-19 Pandemic.

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.

The clinicomolecular landscape of de novo versus relapsed stage IV metastatic breast cancer.

Background: de novo metastatic breast cancer (dnMBC) is responsible for 6-10% of breast cancer presentations with increasing incidence and has remained resistant to detection by mammography screening. Recent publications hypothesized that in addition to poor screening uptake, the presentation of dnMBC may be due to its unfavourable biology which remains unknown at the molecular level. Here we investigated the tumour biology of dnMBC in the form of clinicopathology, genomic alterations and differential gene expression to create a comparative landscape of de novo versus relapsed metastatic breast cancer (rMBC).

A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop.

Advances in machine learning in medical imaging are occurring at a rapid pace in research laboratories both at academic institutions and in industry. Important artificial intelligence (AI) tools for diagnostic imaging include algorithms for disease detection and classification, image optimization, radiation reduction, and workflow enhancement. Although advances in foundational research are occurring rapidly, translation to routine clinical practice has been slower.