7 research outputs found

    Comprehensive deep learning-based framework for automatic organs-at-risk segmentation in head-and-neck and pelvis for MR-guided radiation therapy planning

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    Introduction: The excellent soft-tissue contrast of magnetic resonance imaging (MRI) is appealing for delineation of organs-at-risk (OARs) as it is required for radiation therapy planning (RTP). In the last decade there has been an increasing interest in using deep-learning (DL) techniques to shorten the labor-intensive manual work and increase reproducibility. This paper focuses on the automatic segmentation of 27 head-and-neck and 10 male pelvis OARs with deep-learning methods based on T2-weighted MR images.Method: The proposed method uses 2D U-Nets for localization and 3D U-Net for segmentation of the various structures. The models were trained using public and private datasets and evaluated on private datasets only.Results and discussion: Evaluation with ground-truth contours demonstrated that the proposed method can accurately segment the majority of OARs and indicated similar or superior performance to state-of-the-art models. Furthermore, the auto-contours were visually rated by clinicians using Likert score and on average, 81% of them was found clinically acceptable

    The Effect of Transition Metal Doping on the Photooxidation Process of Titania-Clay Composites

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    Montmorillonite-TiO2 composites containing various transition metal ions (silver, copper, or nickel) were prepared, and their photocatalytic efficiencies were tested in the degradation of ethanol vapor at 70% relative humidity. Two light sources, UV-rich ( = 254 nm) and visible ( = 435 nm), were used. The kinetics of degradation was monitored by gas chromatography. It was established that, in the case of each catalyst, ethanol degradation was more efficient in UV-C ( = 254 nm) than in visible light, furthermore, these samples containing silver or copper ions were in each case about twice more efficient than P25 TiO2 (Degussa AG.) used as a reference. In photooxidation by visible light, TiO2/clay samples doped with silver or copper were also more efficient than the reference sample, P25 TiO2. We show that doping metal ions can also be delivered to the surface of the support by ion exchange and significantly alters the optical characteristics of the TiO2/clay composite

    Effects of Nucleosides on Glia - Neuron Interactions Open up New Vistas in the Development of More Effective Antiepileptic Drugs

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    One-third of epileptic patients are drug refractory due to the limited efficacy of antiepileptic therapy. Thus, there is an immense need to find more effective, safer and well-tolerated antiepileptic drugs. A great deal of results suggests that adenosine (Ado), guanosine (Guo), inosine (Ino) or uridine (Urd) are endogenous antiepileptogenic modulators. Furthermore, nucleosides and their derivatives may be safe and effective potential drugs in the treatment of epilepsy. Conversely, nucleosidergic modulatory system implying nucleoside levels, metabolism, receptors and transporters may also be involved in seizure pathomechanisms. Application of Ado receptor agonists as well as antagonists, elevation of nucleoside levels (e.g., by nucleoside metabolism inhibitors, and Ado-releasing implants) or utilization of non-Ado nucleosides may also turn to be useful approaches to decrease epileptic activity. However, all drugs exerting their effects on the nucleosidergic modulatory system may affect the fine regulation of glia-neuron interactions that are intimately governed by various nucleosidergic processes. Perturbation of the complex, bidirectional communication between neurons and astrocytes through these nucleosidergic modulatory mechanisms may lead to pathological changes in the central nervous system (CNS) and therefore may cause significant side effects. Thus, a deeper understanding of the nucleosidergic modulatory control over glia-neuron interactions is essential in order to develop more effective and safe nucleoside-based antiepileptic drugs. In this review article we focus on the role of Ado and Urd in glia-neuron interactions, placing emphasis on their implications for the treatment of epilepsy

    Non-adenosine Nucleoside Inosine, Guanosine and Uridine as Promising Antiepileptic Drugs : a Summary of Current Literature

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    Adenosine (Ado) and some non-adenosine (non-Ado) nucleosides including inosine (Ino), guanosine (Guo) and uridine (Urd) are modulatory molecules in the central nervous system (CNS), regulating different physiological and pathophysiological processes in the brain such as sleep and epilepsy. Indeed, different drugs effective on adenosinergic system (e.g., Ado metabolism inhibitors, agonists and antagonists of Ado receptors) are being used in drug development for the treatment of epileptic disorders. Although (i) endogenous Ino, Guo and Urd showed anticonvulsant/antiepileptic effects (e.g., in quinolinic acid - induced seizures and in different epilepsy models such as hippocampal kindling models), and (ii) there is need to generate new and more effective antiepileptic drugs for the treatment of drug-resistant epilepsies, our knowledge about antiepileptic influence of non-Ado nucleosides is far from complete. Thus, in this review article, we give a short summary of anticonvulsant/antiepileptic effects and mechanisms evoked by Ino, Guo, and Urd. Finally, we discuss some non-Ado nucleoside derivatives and their structures, which may be candidates as potential antiepileptic agents
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