Timing of vessel imaging for suspected large vessel occlusions does not affect groin puncture time in transfer patients with stroke.

BACKGROUND: Access to endovascular therapy (ET) in cases of acute ischemic stroke may be limited, and rapid transfer of eligible patients to hospitals with endovascular capability is needed. OBJECTIVE: To determine the optimal timing of diagnostic CT angiography to confirm large vessel occlusion (LVO). METHODS: Of 57 emergency department transfers to Mount Sinai Hospital (MSH) for possible ET from January 2015 through March 2016, 39 (68%) underwent ET, among whom 22 (56%) had CT angiography before transfer and 17 (44%) had CT angiography on arrival. We compared mean outside hospital arrival to groin puncture (OTG) time between the two groups using t-tests and Wilcoxon rank sum tests. OTG was defined as the difference between groin puncture and outside hospital arrival time minus ambulance travel time. RESULTS: Average age was 73±13 years and average National Institute of Health Stroke Scale score was 19±5. There was no difference in average OTG time between the two groups (191 min for CT angiography at outside hospital vs 190 min for CT angiography at MSH (p=0.99 for t-test and 0.69 for rank sum test)). Among the 18 patients who were transferred but did not receive ET, 10 had no LVO, 5 had large established infarcts on arrival and 3 had post-tissue plasminogen activator hemorrhage. In 9/10 patients without LVO, CT angiography was not performed before transfer. CONCLUSIONS: CT angiography timing in the transfer process does not affect OTG time, but 90% of patients without LVO had not had CT angiography before transfer. Hence, it might be beneficial to obtain a CT angiogram at the outside hospital, if it can be acquired and read rapidly, to avoid the cost and potential clinical deterioration associated with unnecessary transfers

Simplification of Health and Social Services Enrollment and Eligibility: Lessons for California From Interviews in Four States

Explores state officials' and advocates' views on issues involved in streamlining enrollment and eligibility processes, including the importance of staff buy-in, community partners' outreach efforts, and technological challenges and lessons learned

Pathological Evidence Exploration in Deep Retinal Image Diagnosis

Though deep learning has shown successful performance in classifying the label and severity stage of certain disease, most of them give few evidence on how to make prediction. Here, we propose to exploit the interpretability of deep learning application in medical diagnosis. Inspired by Koch's Postulates, a well-known strategy in medical research to identify the property of pathogen, we define a pathological descriptor that can be extracted from the activated neurons of a diabetic retinopathy detector. To visualize the symptom and feature encoded in this descriptor, we propose a GAN based method to synthesize pathological retinal image given the descriptor and a binary vessel segmentation. Besides, with this descriptor, we can arbitrarily manipulate the position and quantity of lesions. As verified by a panel of 5 licensed ophthalmologists, our synthesized images carry the symptoms that are directly related to diabetic retinopathy diagnosis. The panel survey also shows that our generated images is both qualitatively and quantitatively superior to existing methods.Comment: to appear in AAAI (2019). The first two authors contributed equally to the paper. Corresponding Author: Feng L

Practical recommendations for radium-223 treatment of metastatic castration-resistant prostate cancer

is the first targeted alpha therapy for patients with castration resistant prostate cancer and symptomatic bone metastases. Radium-223 provides a new treatment option for this setting, but also necessitates a new treatment management approach. We provide straightforward and practical recommendations for European nuclear medicine centres to optimize radium-223 service provision. Methods An independent research consultancy agency observed radium-223 procedures and conducted interviews with all key staff members involved in radium-223 treatment delivery in 11 nuclear medicine centres across six countries (Germany, Italy, the Netherlands, Spain, Switzerland and the UK) experienced in administering radium-223. The findings were collated and discussed at a meeting of experts from these centres, during which key consensus recommendations were defined. Results The recommendations cover centre organization and preparation; patient referral; radium-223 ordering, preparation and disposal; radium-223 treatment delivery/administration; and patient experience. Guidance includes structured coordination and communication within centres and multidisciplinary teams, focusing on sharing best practice to provide high quality, patient-centred care throughout the treatment pathway. Conclusions These expert recommendations are intended to complement existing management guidelines. Sharing best practice and experience will help nuclear medicine centres to optimize radium-223 service provision and improve patient care

Aerospace Medicine and Biology: A continuing bibliography with indexes (supplement 274)

This bibliography lists 128 reports, articles, and other documents introduced into the NASA scientific and technical information system in July 1985

Standardization of electroencephalography for multi-site, multi-platform and multi-investigator studies: Insights from the canadian biomarker integration network in depression

Subsequent to global initiatives in mapping the human brain and investigations of neurobiological markers for brain disorders, the number of multi-site studies involving the collection and sharing of large volumes of brain data, including electroencephalography (EEG), has been increasing. Among the complexities of conducting multi-site studies and increasing the shelf life of biological data beyond the original study are timely standardization and documentation of relevant study parameters. We presentthe insights gained and guidelines established within the EEG working group of the Canadian Biomarker Integration Network in Depression (CAN-BIND). CAN-BIND is a multi-site, multi-investigator, and multiproject network supported by the Ontario Brain Institute with access to Brain-CODE, an informatics platform that hosts a multitude of biological data across a growing list of brain pathologies. We describe our approaches and insights on documenting and standardizing parameters across the study design, data collection, monitoring, analysis, integration, knowledge-translation, and data archiving phases of CAN-BIND projects. We introduce a custom-built EEG toolbox to track data preprocessing with open-access for the scientific community. We also evaluate the impact of variation in equipment setup on the accuracy of acquired data. Collectively, this work is intended to inspire establishing comprehensive and standardized guidelines for multi-site studies