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Open data is another step on the pathway of strengthening medical research. Allowing access to data facilitates testing the reproducibility of research findings. It also allows for the testing of new hypotheses, the incorporation of individual level data into meta-analyses and the development of very large data sets in which to develop and test new algorithms. There are now many data repositories that researchers can use to share their protocols, syntax and data. There are strategies both for managing what other researchers do with publically available data and for rewarding researchers who share their data. There is a strong ethical argument for making data publically available and research participants are generally supportive of this approach.Introduction Multiple Sclerosis (MS) manifests with a plethora of signs and symptoms affecting brain structures and spinal pathways. The multitude of lesions in MS patients makes difficult to establish the relative role of each of them to lower urinary tract symptoms (LUTS). Generally, the subcortical white-matter lesions result in detrusor overactivity, whilst lesions of the spinal cord result in the combined occurrence of detrusor overactivity and detrusor-sphincter dyssynergia (DSD). It has been estimated that 80-90% of patients with MS will suffer from some form of LUTS over the course of the disease. Among LUTS, the most reported is detrusor overactivity which includes urinary urgency, frequent urination, nocturia, and urge urinary incontinence. Areas covered The authors review the management of lower urinary tract symptoms in MS patients providing their expert opinions on the subject matter. Expert opinion LUTS affect the quality of life substantially and are associated with a significantly increased mortality. The adequate management is an important challenge for both patients and caregivers with a multidisciplinary approach likely necessary.Introduction In recent years, computational polypharmacology has gained significant attention to study the promiscuous nature of drugs. Despite tremendous challenges, community-wide efforts have led to a variety of novel approaches for predicting drug polypharmacology. In particular, some rapid advances using machine learning and artificial intelligence have been reported with great success. Areas covered In this article, the authors provide a comprehensive update on the current state-of-the-art polypharmacology approaches and their applications, focusing on those reports published after our 2017 review article. The authors particularly discuss some novel, groundbreaking concepts, and methods that have been developed recently and applied to drug polypharmacology studies. TW-37 order Expert opinion Polypharmacology is evolving and novel concepts are being introduced to counter the current challenges in the field. However, major hurdles remain including incompleteness of high-quality experimental data, lack of in vitro and in vivo assays to characterize multi-targeting agents, shortage of robust computational methods, and challenges to identify the best target combinations and design effective multi-targeting agents. Fortunately, numerous national/international efforts including multi-omics and artificial intelligence initiatives as well as most recent collaborations on addressing the COVID-19 pandemic have shown significant promise to propel the field of polypharmacology forward.During the COVID-19 pandemic, breast imaging must be performed using safe practices. Balancing the need to avoid delays in the diagnosis of breast cancer while avoiding infection requires careful attention to personal protective equipment and physical distancing and vigilance to maintain these practices. The Canadian Society of Breast Imaging/Canadian Association of Radiologists guideline for breast imaging during COVID-19 is provided based on priority according to risk of breast cancer and impact of delaying treatment. A review of the best practices is presented that allow breast imaging during COVID-19 to maximize protection of patients, technologists, residents, fellows, and radiologists and minimize spread of the infection. The collateral damage of delaying diagnosis of breast cancer due to COVID-19 should be avoided when possible.OBJECTIVE. The purpose of this article was to evaluate the diagnostic performance of the kinetic parameters of ultrafast and standard dynamic contrast-enhanced MRI (DCE-MRI) compared with morphologic evaluation in differentiating benign from malignant nonmass enhancement (NME) breast lesions. MATERIALS AND METHODS. A total of 77 consecutive patients with 77 NMEs (23 benign and 54 malignant) underwent 3-T MRI, including one unenhanced and eight contrast-enhanced ultrafast DCE-MRI scans (7-second scans) and standard DCE-MRI scans. The two readers evaluated the lesions' likelihood of malignancy on a continuous scale from 0 to 100% as the morphologic score using standard DCE-MRI. The kinetic curves of ultrafast DCE-MRI were fitted using an empirical mathematical model, ΔS(t) = A × (1 - e-αt), where A is the upper limit of signal intensity, e is the Euler number, and alpha (s-1) is the rate of signal increase. The initial slope of the kinetic curve (A × α) and the initial AUC (AUC30, which is the integration of thd malignant NMEs.OBJECTIVE. The objective of this article is to describe evidence-based guidelines for percutaneous minimally invasive imaging-guided thermal ablation of bone metastases. CONCLUSION. Safe and effective minimally invasive thermal ablation can be performed to achieve pain palliation, local tumor control, or cure in selected subgroups of patients with osseous metastases. Thermal protection strategies should be implemented to minimize the risk of undesired thermal injury.Performance on the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey can affect up to 33% of a physician's reimbursement from the Centers for Medicare & Medicaid Services. At this pseudo-private orthopedic practice, the authors characterized how physicians often achieve drastically different scores between HCAHPS and an Internal Patient Satisfaction Questionnaire (IPSQ). Eighteen physicians were ranked separately according to percentage of top-box scores on HCAHPS and IPSQ. There was an inverse relationship between physician rank for the 2 surveys according to Spearman correlation coefficient (ρ = -0.36, P = .15). Qualitative subanalysis indicated that although "physician interaction" was the most common reason for negative comments on HCAHPS, "ancillary staff" and "workflow" concerns were common on IPSQ. The outpatient setting remains a critical component in achieving high-quality orthopedic care. Consequently, HCAHPS alone may not be a sufficient indicator of patient satisfaction for orthopedic and other subspecialty practices.
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