scholarly journals ESR statement on portable ultrasound devices

2019 ◽  
Vol 10 (1) ◽  
Author(s):  

Abstract The use of portable ultrasound (US) devices has increased in recent years and the market has been flourishing. Portable US devices can be subdivided into three groups: laptop-associated devices, hand-carried US, and handheld US devices. Almost all companies we investigated offer at least one portable US device. Portable US can also be associated with the use of different US techniques such as colour Doppler US and pulse wave (PW)-Doppler. Laptop systems will also be available with contrast-enhanced US and high-end cardiac functionality. Portable US devices are effective in the hands of experienced examiners. Imaging quality is predictably inferior to so-called high-end devices. The present paper is focused on portable US devices and clinical applications describing their possible use in different organs and clinical settings, keeping in mind that patient safety must never be compromised. Hence, portable devices must undergo the same decontamination assessment and protocols as the standard equipment, especially smartphones and tablets.

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Sonam Gurung ◽  
Dany Perocheau ◽  
Loukia Touramanidou ◽  
Julien Baruteau

AbstractThe use of exosomes in clinical settings is progressively becoming a reality, as clinical trials testing exosomes for diagnostic and therapeutic applications are generating remarkable interest from the scientific community and investors. Exosomes are small extracellular vesicles secreted by all cell types playing intercellular communication roles in health and disease by transferring cellular cargoes such as functional proteins, metabolites and nucleic acids to recipient cells. An in-depth understanding of exosome biology is therefore essential to ensure clinical development of exosome based investigational therapeutic products. Here we summarise the most up-to-date knowkedge about the complex biological journey of exosomes from biogenesis and secretion, transport and uptake to their intracellular signalling. We delineate the major pathways and molecular players that influence each step of exosome physiology, highlighting the routes of interest, which will be of benefit to exosome manipulation and engineering. We highlight the main controversies in the field of exosome research: their adequate definition, characterisation and biogenesis at plasma membrane. We also delineate the most common identified pitfalls affecting exosome research and development. Unravelling exosome physiology is key to their ultimate progression towards clinical applications.


2019 ◽  
Vol 33 (03) ◽  
pp. 155-161 ◽  
Author(s):  
Amjed Abu-Ghname ◽  
Aurelia Trisliana Perdanasari ◽  
Matthew J. Davis ◽  
Edward M. Reece

AbstractPlatelet-rich plasma (PRP) is an autogenously harvested liquid platelet concentrate extracted from a patient's peripheral blood that contains higher than baseline concentrations of growth factors and cytokines. This innovative new technology has demonstrated great promise in the field of plastic surgery, and its use has been evaluated in several clinical settings including wound healing, hair restoration, and skin rejuvenation. The goal of this article is to explain the biology behind PRP and to review the basic principles involved in its preparation. This will be followed by a discussion of some clinical applications of PRP in both aesthetic and reconstructive plastic surgery.


1996 ◽  
Vol 6 (2) ◽  
pp. 311-321 ◽  
Author(s):  
Koenraad L. Verstraete ◽  
Henk-Jan Van der Woude ◽  
Pancras C. W. Hogendoorn ◽  
Yves De Deene ◽  
Marc Kunnen ◽  
...  

Author(s):  
Diego Alejandro Dri ◽  
Maurizio Massella ◽  
Donatella Gramaglia ◽  
Carlotta Marianecci ◽  
Sandra Petraglia

: Machine Learning, a fast-growing technology, is an application of Artificial Intelligence that has significantly contributed to drug discovery and clinical development. In the last few years, the number of clinical applications based on Machine Learning has constantly been growing. Moreover, it is now also impacting National Competent Authorities during the assessment of most recently submitted Clinical Trials that are designed, managed, or generating data deriving from the use of Machine Learning or Artificial Intelligence technologies. We review current information available on the regulatory approach to Clinical Trials and Machine Learning. We also provide inputs for further reasoning and potential indications, including six actionable proposals for regulators to proactively drive the upcoming evolution of Clinical Trials within a strong regulatory framework, focusing on patient safety, health protection, and fostering immediate access to effective treatments.


BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e027590 ◽  
Author(s):  
Ann Hägg-Martinell ◽  
Håkan Hult ◽  
Peter Henriksson ◽  
Anna Kiessling

ObjectivesAlmost all healthcare today is team-based in collaboration over professional borders, and numerous students have work-based learning in such contexts. However, interprofessional learning (IPL) in clinical settings has mostly been systematically explored in specially designed contexts dedicated to interprofessional education (IPE). This study aimed to explore the possibilities for IPL activities, and if or how they occur, in an acute ward context not dedicated to IPE.Design and settingBetween 2011 and 2013 ethnographic observations were performed of medical and nursing students’ interactions and IPL during early clerkship at an acute internal medicine ward in Sweden. Field notes were taken and analysed based on the framework of IPE:learning with, from and about.Participants21 medical, 4 nursing students and 30 supervisors participated.ResultsLearning with—there were no organised IPE activities. Instead, medical and nursing students learnt in parallel. However, students interacted with staff members from other professions.Learning from—interprofessional supervision was frequent. Interprofessional supervision of nursing students by doctors focused on theoretical questions and answers, while interprofessional supervision of medical students by nurses focused on the performance of technical skills.Learning about—students were observed to actively observe interactions between staff and learnt how staff conducted different tasks.ConclusionThis study shows that there were plenty of possibilities for IPL activities, but the potential was not fully utilised or facilitated. Serendipitous IPL activities differed between observed medical and nursing students. Although interprofessional supervision was fairly frequent, students were not learning with, from or about each other over professional borders.


2021 ◽  
Vol 12 ◽  
Author(s):  
Joel Jihwan Hwang ◽  
Yeri Alice Rim ◽  
Yoojun Nam ◽  
Ji Hyeon Ju

Mesenchymal stem cell (MSC) therapies have been used as cell-based treatments for decades, owing to their anti-inflammatory, immunomodulatory, and regenerative properties. With high expectations, many ongoing clinical trials are investigating the safety and efficacy of MSC therapies to treat arthritic diseases. Studies on osteoarthritis (OA) have shown positive clinical outcomes, with improved joint function, pain level, and quality of life. In addition, few clinical MSC trials conducted on rheumatoid arthritis (RA) patients have also displayed some optimistic outlook. The largely positive outcomes in clinical trials without severe side effects establish MSCs as promising tools for arthritis treatment. However, further research is required to investigate its applicability in clinical settings. This review discusses the most recent advances in clinical studies on MSC therapies for OA and RA.


Author(s):  
Han Jia ◽  
Xuecheng Zou

A major problem of counting high-density crowded scenes is the lack of flexibility and robustness exhibited by existing methods, and almost all recent state-of-the-art methods only show good performance in estimation errors and density map quality for select datasets. The biggest challenge faced by these methods is the analysis of similar features between the crowd and background, as well as overlaps between individuals. Hence, we propose a light and easy-to-train network for congestion cognition based on dilated convolution, which can exponentially enlarge the receptive field, preserve original resolution, and generate a high-quality density map. With the dilated convolutional layers, the counting accuracy can be enhanced as the feature map keeps its original resolution. By removing fully-connected layers, the network architecture becomes more concise, thereby reducing resource consumption significantly. The flexibility and robustness improvements of the proposed network compared to previous methods were validated using the variance of data size and different overlap levels of existing open source datasets. Experimental results showed that the proposed network is suitable for transfer learning on different datasets and enhances crowd counting in highly congested scenes. Therefore, the network is expected to have broader applications, for example in Internet of Things and portable devices.


2016 ◽  
Vol 29 (4) ◽  
pp. 425-440 ◽  
Author(s):  
Zhaleh Abdi ◽  
Hamid Ravaghi ◽  
Mohsen Abbasi ◽  
Bahram Delgoshaei ◽  
Somayeh Esfandiari

Purpose – The purpose of this paper is to apply Bow-tie methodology, a proactive risk assessment technique based on systemic approach, for prospective analysis of the risks threatening patient safety in intensive care unit (ICU). Design/methodology/approach – Bow-tie methodology was used to manage clinical risks threatening patient safety by a multidisciplinary team in the ICU. The Bow-tie analysis was conducted on incidents related to high-alert medications, ventilator associated pneumonia, catheter-related blood stream infection, urinary tract infection, and unwanted extubation. Findings – In total, 48 potential adverse events were analysed. The causal factors were identified and classified into relevant categories. The number and effectiveness of existing preventive and protective barriers were examined for each potential adverse event. The adverse events were evaluated according to the risk criteria and a set of interventions were proposed with the aim of improving the existing barriers or implementing new barriers. A number of recommendations were implemented in the ICU, while considering their feasibility. Originality/value – The application of Bow-tie methodology led to practical recommendations to eliminate or control the hazards identified. It also contributed to better understanding of hazard prevention and protection required for safe operations in clinical settings.


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