61 research outputs found

    First clinical application of a novel T1 mapping of the whole brain

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    Background: The aim of this study was to evaluate the reproducibility and clinical value of the novel single-shot T1 mapping method for rapid and accurate multi-slice coverage of the whole brain, described by Wang et al. 2015. Methods: At a field strength of 3 Tesla, T1 mappings of 139 patients (51 of them without pathologic findings) and two repeats of five volunteers were performed at 0.5 mm in-plane resolution. Mean T1 values were determined in 18 manually segmented regions-of-interest without pathologic findings. Reproducibility of the repeated scans was calculated using mean coefficient of variations. Pathologies were grouped and separately evaluated. Results: The mean age of the cohort was 49 (range 1–95 years). T1 relaxation times for ordinary brain and pathologies were in accordance with the literature values. Intra- and inter-subject reproducibility was excellent, and mean coefficient of variations were 2.4% and 3.8%, respectively. Discussion: The novel rapid T1 mapping method is a reliable magnetic resonance imaging technique for identifying and quantifying normal brain structures and may thus serve as a basis for assessing pathologies. The fast and parallel online calculation enables a comfortable use in everyday clinical practice. We see a possible clinical value in a large spectrum of diseases, which should be investigated in further studies

    Crosslinked SPEEK membranes: Mechanical, thermal, and hydrothermal properties

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    The thermal and mechanical behavior, the water uptake (WU), and water diffusion coefficient of sulfonated poly(ether ether ketone) (SPEEK)membranes annealed at 180 degrees C for different times were explored by high-resolution thermogravimetric analysis, mechanical tensile tests, dynamic mechanical analysis, and WU measurements. The mechanical and thermal stability increased with the thermal treatment time, i.e., with the degree of crosslinking. The effect of residual casting solvent, dimethyl sulfoxide (DMSO), on the WU within SPEEK was probed. In presence of residual DMSO, crosslinked SPEEK exhibited higher water sorption at low and medium relative humidity (RH), and lower water sorption at high RH. These membranes have properties well adapted to fuel cell applications

    Diagnostic value of diffusion-weighted STEAM-MRI in ischemic stroke

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    Introduction: Diffusion-weighted imaging in stimulated echo acquisition mode (STEAM-DWI) is an interesting alternative with less susceptibility artifacts compared to the most commonly used diffusion-weighted echo-planar imaging (EPI-DWI). Sensitivity and specificity of a novel STEAM-DWI, described by Merrem et al. 2017 [1], were assessed in patients with ischemic stroke. Methods: EPI- and STEAM-DWIs were performed in patients with suspected subacute stroke between 01 July 2019 and 30 June 2020 using 3-T MRI. Three neuroradiologists independently and separately rated STEAM-DWI images with respect to (i) signs of an acute/subacute stroke, (ii) the number, size and localization of infarctions and, (iii) the presence of artifacts. Results: In 55 (23 right, 23 left, 9 both hemispheres) of 85 patients a subacute stroke was confirmed using EPI- DWI. The cerebral vascular territories were affected as follows: anterior cerebral artery 8 %, middle cerebral artery 48 %, posterior cerebral artery 27 %, brainstem 7 %, cerebellum 10 %. In 53 of 55 (96 %) cases the stroke was detected by usage of STEAM-DWI, in 35 of 37 patients microembolic events were noticed (95 %). Results showed a sensitivity and specificity of 100 % (70/70) for major infarcts (>9 mm2 in-plane) and a sensitivity of up to 94 % (121/129) for detecting subacute microembolic lesions. No susceptibility artifacts were noticed in STEAM-DWI. Conclusion: Compared to standard EPI-DWI, STEAM-DWI offers a more robust alternative for diagnosing subacute strokes in areas affected by susceptibility artifacts

    Simulation de l'effet des surcharges sur le comportement mécanique des P.T.H à couples de matériaux différents

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    International audienceThe reliability of total hip arthroplasties (THA) is not any more to show. It is allowed by all. Indeed, the retreat of such interventions exceeds now fifteen years and the hopes which the first clinicians formulated are now realities. Nevertheless, the deformation and the wear of cup components remain an inevitable mechanism and loosening appear in long-term. Prevention of loosening passes by the reduction of this wear. This study deals with a simulation of the effect of overloads on THA with different materials. Three materials are analyzed in order to choose the couple which has better bio functionality.La fiabilité des arthroplasties totales de hanche n'est plus à démontrer. Elle est admise par tous. En effet, le recul de telles interventions dépasse maintenant quinze ans et les espérances que les premiers cliniciens ont formulées à leur égard sont maintenant des réalités. Néanmoins, la déformation et l'usure des composants acétabulaires restent un mécanisme inévitable et des descellements asceptiques apparaissent à long terme. La prévention du descellement passe donc par la réduction de cette usure. Cette étude porte sur une simulation de l'effet de certains paramètres mécaniques, entre autres « les surcharges » sur le comportement des PTH hybrides à couples de matériaux différents. Trois couples de matériaux sont analysés, en vue de choisir celui qui offre une meilleure biofonctionnalité

    The effect of ultrasound pretreatment on some selected physicochemical properties of black cumin (Nigella Sativa)

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    Background In the present study, the effects of ultrasound pretreatment parameters including irradiation time and power on the quantity of the extracted phenolic compounds quantity as well as on some selected physicochemical properties of the extracted oils including oil extraction efficiency, acidity and peroxide values, color, and refractive index of the extracted oil of black cumin seeds with the use of cold press have been studied. Methods For each parameter, three different levels (30, 60, and 90 W) for the ultrasound power and (30, 45, and 60 min) and for the ultrasound irradiation time were studied. Each experiment was performed in three replications. Results The achieved results revealed that, with enhancements in the applied ultrasound power, the oil extraction efficiency, acidity value, total phenolic content, peroxide value, and color parameters increased significantly (P 0.05). Conclusions In summary, it could be mentioned that the application of ultrasound pretreatment in the oil extraction might improve the oil extraction efficiency, the extracted oil’s quality, and the extracted phenolic compounds content.info:eu-repo/semantics/publishedVersio

    From harmful Microcystis blooms to multi-functional core-double-shell microsphere bio-hydrochar materials

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    Harmful algal blooms (HABs) induced by eutrophication is becoming a serious global environmental problem affecting public health and aquatic ecological sustainability. A novel strategy for the utilization of biomass from HABs was developed by converting the algae cells into hollow mesoporous biohydrochar microspheres via hydrothermal carbonization method. The hollow microspheres were used as microreactors and carriers for constructing CaO2 core-mesoporous shell-CaO2 shell microspheres (OCRMs). The CaO2 shells could quickly increase dissolved oxygen to extremely anaerobic water in the initial 40 min until the CaO2 shells were consumed. The mesoporous shells continued to act as regulators restricting the release of oxygen from CaO2 cores. The oxygen-release time using OCRMs was 7 times longer than when directly using CaO2. More interestingly, OCRMs presented a high phosphate removal efficiency (95.6%) and prevented the pH of the solution from rising to high levels in comparison with directly adding CaO2 due to the OH− controlled-release effect of OCRMs. The distinct core-doubleshell micro/nanostructure endowed the OCRMs with triple functions for oxygen controlled-release, phosphorus removal and less impact on water pH. The study is to explore the possibility to prepare smarter bio-hydrochar materials by utilizing algal blooms

    Implementation strategies for knowledge products in primary healthcare: A systematic review of systematic reviews

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    BACKGROUND: The underuse or overuse of knowledge products leads to waste in healthcare, and primary care is no exception. OBJECTIVE: We aimed to characterize which knowledge products are frequently implemented, the implementation strategies used in primary care, and the implementation outcomes that are measured. METHODS: We performed a systematic review of systematic reviews (SR) using the Cochrane systematic approach to include eligible SR. The inclusion criteria were: any primary care contexts; healthcare professionals and patients; any EPOC implementation strategies of specified knowledge products; any comparator; and any implementation outcomes based on the Proctor framework. We searched the Medline, EMBASE, CINAHL, Ovid PsycINFO, Web of Science, and Cochrane Library databases from their inception to October 2019, without any restriction. We searched the references of the included SR. Pairs of reviewers independently performed selection, data extraction and methodological quality assessment with AMSTAR 2. Data extraction was informed by EPOC taxonomy for implementation strategies and the Proctor framework for implementation outcomes. We performed a descriptive analysis and summarized the results using a narrative synthesis. RESULTS: Of the 11,101 records identified, 81 SR were included. Forty-seven SR involved healthcare professionals alone. Fifteen SR were of high or moderate methodological quality. Most of them addressed one type of knowledge product (56/81), common clinical practice guidelines (26/56) or management, and behavioural or pharmacological health interventions (24/56). Mixed strategies were used for implementation (67/81), predominantly educational-based (meetings in 60/81, materials distribution in 59/81, and academic detailing in 45/81), reminder (53/81) and audit and feedback (40/81) strategies. Education meetings (P=.13) and academic detailing (P=.11) seem to be more used when the population is composed of Healthcare professionals alone. The improvement of the adoption of knowledge products was the most commonly measured outcome (72/81). The evidence level was reported in 10/81 SR on 62 outcomes (including 48 improvement of adoption), of which 16 outcomes were of moderate or high level. CONCLUSIONS: Clinical practice guidelines and management, behavioural or pharmacological health interventions are the most commonly implemented knowledge products through the mixed use of educational, reminders and audit and feedback strategies. There is need for a strong methodology for the SR of RCTs to explore their effectiveness and the whole cascade of implementation outcomes. CLINICALTRIAL: Not applicable

    Predicting occupational exposure to trace metals from welding by non-air monitoring based models

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    International audienceMathematical models for estimating occupational exposure to chemicals were developed as a promising alternative to air monitoring that is pricey and sometimes unavailable. Still, models parameters are derived from former air monitoring. Contrarily, our study aims to calculate all parameters independently of monitoring data. We implemented this approach to assess exposure in welding plants. Then, prediction abilities are evaluated by comparison with air measurements.The Near Field-Far Field (NF-FF) model seeks to give accurate exposure estimation near an emission source. One workplace includes Shielded Metal Arc Welding (SMAW) worker T1 who is in the NF. The other contains induction welding (IW) T2 and packaging workers T3 who are in NF and FF, respectively. The emitted metals are identified from materials compositions. Ventilation rates are calculated by the anemometer technique. Emission rates are calculated using the emission factor method for SMAW and mass balance method for IW, solely based on literature, materials quantities and their compositions. To evaluate the match between measured (6 replicates) and predicted levels, we checked their correlations and tested the mean differences of paired values.T1 is exposed to Al, Cu, Ni, Cr and Pb, while T2 and T3 are exposed to Al, Cu, Ni, Cr and Zn. A strong correlation was found (r = 0.78, p = 0.008) for NF predictions and air measurements. The T-test was significant, confirming that NF predictions and measured levels are quite close.In contrast, our approach did not succeed to predict the FF exposure (insignificant correlation), which is probably due to the mobility of T3.Non-air monitoring based models showed good effectiveness to predict the exposure levels close to emission sources for SMAW and IW processes. Thus, to assess health risks or to evaluate compliance with workplace air standards, our modeling approach that is time and cost saving, can be adopted as a support tool or even an alternative to air monitoring
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