A multimodality localization technique for radio-guided surgery

<p>Abstract</p> <p>Background</p> <p>Intraoperative localization of image or endoscopy-detected lesions occasionally pose surgical challenges due to the small lesion size and/or difficult anatomic exposure. Identification of such lesions can be facilitated using a hand-held gamma probe with utilization of Tc-99m macroaggregate albumen (MAA) localization technique. The radiopharmaceutical injection can be performed using ultrasound (US) or endoscopy guidance.</p> <p>Case presentations</p> <p>The clinical use of the Tc-99m MAA protocol gamma probe-guided surgery was discussed in three representative cases. Surgical indication was diagnostic exploration in two patients with suspicious lymphadenopathy, and determination of extent of surgical resection in a patient with polyposis. Lesion localization with 100 microcurie (3.7 MBq) Tc-99m MAA prior to surgical exploration resulted in definitive localization of lesions intraoperatively.</p> <p>Conclusion</p> <p>The use Tc-99m MAA deposition technique at the site of surgical target is a highly efficient radio-guided surgery technique with definitive impact on the success of surgical exploration in selected indications.</p

Implementation and Evaluation of Course-based Training for Dialectical Behavior Therapy Skills in a Turkish University

The main objective of this study was to implement group skills training based upon Dialectical Behavior Therapy (DBT) in a Turkish university, then evaluate its potential in reducing emotional distress (i.e., depression, anxiety, stress) and improving mindfulness and emotion regulation. It also examined the predictors of emotional well-being at the end of the intervention period. A total of 69 senior psychology students underwent a 14-week modified DBT skills training course in three separate groups in a classroom environment. Participants completed questionnaires related to mindfulness, emotion regulation, and emotional distress at the beginning and end of the intervention. The end results demonstrated significant reductions in anxiety and stress, and significant increases in mindfulness and emotion regulation. There was a significant positive association between baseline and post-intervention levels of emotional distress. Better emotional regulation predicted lower emotional distress at the end of the training. Participants with higher emotion regulation difficulties at baseline were more likely to benefit from the intervention. This study contributed further evidence to the potential of DBT skills training as an evidence-based approach to address the emotional well-being of university students. It also provided initial data for how the DBT skills training might work as a well-being approach in a nonclinical setting. Larger-scale controlled studies, including students from diverse backgrounds, are required to generalize the findings of the study.&nbsp

Pathophysiology, Clinical, and Therapeutic Aspects of Narcolepsy

Narcolepsy is a lifelong sleep disorder characterized by excessive daytime sleepiness, cataplexy, hypnagogic hallucination, and sleep paralysis. The exact cause remains unknown, but there is significant evidence that hypocretin deficiency plays an integral role. There have been advances in the understanding of the pathogenesis of narcolepsy. It has a negative effect on the quality of life and can restrict the patients from certain careers and activities. Diagnosis relies on patient history and objective data gathered from polysomnography and multiple sleep latency testing. Treatment focuses on symptom relief through medication, education, and behavioral modification. Both classic pharmacological treatments as well as newer options have significant problems, especially because of side effects and abuse potential. Some novel modalities are being examined to expand options for treatment. In this review, the pathophysiological, clinical, and pharmacotherapeutic aspects of narcolepsy are discussed. [Psikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry 2014; 6(3.000): 271-283

Mobile Human Ad Hoc Networks: A Communication Engineering Viewpoint on Interhuman Airborne Pathogen Transmission

Pathogens such as viruses and bacteria play a vital role in human life, since they cause infectious diseases which can lead to epidemics. Recent coronavirus disease 2019 epidemic has shown that taking effective prevention measures such as wearing masks are important to reduce the human deaths and side effects of the epidemic. It is therefore requisite to accurately model the spread of infectious diseases whose one of the most crucial routes of transmission is airborne transmission. The transmission models in the literature are proposed independently from each other, at different scales and by the researchers from various disciplines. Thus, there is a need to merge all these research attempts. To this end, we propose a communication engineering approach that melts different disciplines such as epidemiology, biology, medicine, and fluid dynamics in the same pot to model airborne pathogen transmission among humans. In this approach, we introduce the concept of mobile human ad hoc networks (MoHANETs). This concept exploits the similarity of airborne transmission-driven human groups with mobile ad hoc networks and uses molecular communication as the enabling paradigm. The aim of this article is to present a unified framework using communication engineering, and to highlight future research directions for modeling the spread of infectious diseases among humans through airborne pathogen transmission. In this article, we first review the airborne pathogen transmission mechanisms. Then, the MoHANET is given with a layered structure. In these layers, the infectious human emitting pathogen-laden droplets through air and the exposed human to these droplets are considered as the transmitter and receiver, respectively. Moreover, the experimental methods for the proposed approach are reviewed and discussed.Comment: 7 pages, 6 figures, submitted to IEEE Communications Magazine Feature Topic on Nano-Networking for Nano-, Micro-, and Macro-Scale Application

Coronary artery ectasia

AbstractCoronary artery ectasia (CAE) is defined as localized or diffuse dilatation of coronary artery lumen exceeding the largest diameter of an adjacent normal vessel more than 1.5 fold. The incidence of CAE is reported as 0.3–4.9% of patients undergoing coronary angiography. The rate of recognition may increase with the use of new non-invasive imaging methods like computed tomography (CT) and magnetic resonance (MR) coronary angiography. Atherosclerosis is considered as the main etiologic factor responsible for more than 50% of cases in adults while Kawasaki disease is the most common cause in children or young adults. Coronary ectasia is thought to be a result of exaggerated expansive remodeling, which is eventuated as a result of enzymatic degradation of the extracellular matrix and thinning of the vessel media. Patients with CAE without significant coronary narrowing may present with angina pectoris, positive stress tests or acute coronary syndromes. Ectatic vessel may be an origin of thrombus formation with distal embolization, vasospasm or vessel rupture. The prognosis of CAE depends directly on the severity of the concomitant coronary artery disease. Antiplatelet drugs underlie the therapy. Other management strategies in CAE involve both the prevention of thromboembolic complications and percutaneous or surgical revascularization

Stochastic Modeling of Biofilm Formation with Bacterial Quorum Sensing

Bacteria generally live in complicated structures called biofilms, consisting of communicating bacterial colonies and extracellular polymeric substance (EPS). Since biofilms are related to detrimental effects such as infection or antibiotic resistance in different settings, it is essential to model their formation. In this paper, a stochastic model is proposed for biofilm formation, using bacterial quorum sensing (QS). In this model, the biological processes in the biofilm formation are modeled as a chemical reaction network which includes bacterial reproduction, productions of autoinducer and EPS, and their diffusion. The modified explicit tau-leap simulation algorithm is adapted based on the two-state QS mechanism. Our approach is validated by using the experimental results of $\textit{Pseudomonas putida}$ IsoF bacteria for autoinducer and bacteria concentration. It is also shown that the percentage of EPS in the biofilm increases significantly after the state change in QS, while it decreases before QS is activated. The presented work shows how the biofilm growth can be modeled realistically by using the QS mechanism in stochastic simulations of chemical reactions.Comment: Submitted to ICC 202