Corneliussenterp6157

g despite the concurrent use of two imaging modalities, with EUS outperforming MRI/MRCP. Overall, surveillance by imaging yields suboptimal results with a clear need for more sensitive diagnostic markers, including biomarkers.

In the analysis of electronic health records, proper labeling of outcomes is mandatory. To obtain proper information from radiologic reports, several studies were conducted to classify radiologic reports using deep learning. However, the classification of pneumonia in bilingual radiologic reports has not been conducted previously.

The aim of this research was to classify radiologic reports into pneumonia or no pneumonia using a deep learning method.

A data set of radiology reports for chest computed tomography and chest x-rays of surgical patients from January 2008 to January 2018 in the Asan Medical Center in Korea was retrospectively analyzed. The classification performance of our long short-term memory (LSTM)-Attention model was compared with various deep learning and machine learning methods. The area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve, sensitivity, specificity, accuracy, and F1 score for the models were compared.

A total of 5450 radiolperformance in classifying pneumonia in bilingual radiologic reports. The method could enrich the research on pneumonia by obtaining exact outcomes from electronic health data.

The use of information and communication technology (ICT) in suicide prevention has progressed rapidly over the past decade. ICT plays a major role in suicide prevention, but research on best and promising practices has been slow.

This paper aims to explore the existing literature on ICT use in suicide prevention to answer the following question what are the best and most promising ICT practices for suicide prevention?

A scoping search was conducted using the following databases PubMed, PsycINFO, Sociological Abstracts, and IEEE Xplore. These databases were searched for articles published between January 1, 2013, and December 31, 2018. The five stages of the scoping review process were as follows identifying research questions; targeting relevant studies; selecting studies; charting data; and collating, summarizing, and reporting the results. The World Health Organization suicide prevention model was used according to the continuum of universal, selective, and indicated prevention.

Of the 3848 studies identified, 115 (2.99%) were selected. Of these, 10 regarded the use of ICT in universal suicide prevention, 53 referred to the use of ICT in selective suicide prevention, and 52 dealt with the use of ICT in indicated suicide prevention.

The use of ICT plays a major role in suicide prevention, and many promising programs were identified through this scoping review. However, large-scale evaluation studies are needed to further examine the effectiveness of these programs and strategies. In addition, safety and ethics protocols for ICT-based interventions are recommended.

The use of ICT plays a major role in suicide prevention, and many promising programs were identified through this scoping review. However, large-scale evaluation studies are needed to further examine the effectiveness of these programs and strategies. In addition, safety and ethics protocols for ICT-based interventions are recommended.

The purpose of this study was to do better than the simple maximal axial area (MArea

) and to validate simple, fast and robust orthogonal methods for determining the left atrium volume (LAV) with cardiac CT (CCT).

A total of 60 patients who underwent CTT were retrospectively included. There were 30 men and 30 women with a mean age of 59±12 (SD) years (range 27-80 years), using four methods to assess LAV beyond the MArea

two orthogonal methods requiring the measurements of axial, coronal and sagittal planes of 3 diameters LAV

or 3 area LAV

 ; Area-length biplane method LAV

 ; and volumetric method LAV

using a semi-automated tool that served as the reference standard. The orthogonal methods were applied on contrast-enhanced (IV+) and unenhanced (IV-) CCT images. Comparisons were performed using Pearson correlation test (r) and Bland-Altman analysis. Inter- and intra-observer variability were assessed using intraclass correlation coefficient (ICC) with a two-way mixed-effects model.

On IV+ CCT, LAV

, LAV3diam

, LAV

underestimated LAV (-15±1.99mL; -21±1.37mL; -15±1.98mL; all P<0.001). LAV

, LAV3

better correlated with reference standard (r=0.97 and 0.98) than LAV

(r=0.79) as well as MArea

(r=0.90). Estimating LAV on IV- further showed high correlation against the reference (r=0.93 and 0.95 for LAV3diam

and LAV

, respectively). Intra- and inter-observer ICC increased from LAV

(2.43% and 3.09%); LAV

(3.04 and 3.30%); LAV

(3.34 and 4.23%), LAV3diam

(3.36 and 5.11%); LAV3diam

(5.16 and 6.90%); to LAV

(9.65 and 10.28%).

Better than MArea

, orthogonal methods using either diameter or surface are fast and reproducible methods to assess LAV on CCT when performed with or without intravenous administration of contrast material.

Better than MAreaax, orthogonal methods using either diameter or surface are fast and reproducible methods to assess LAV on CCT when performed with or without intravenous administration of contrast material.

To assess the impact of dose reduction and the use of an advanced modeled iterative reconstruction algorithm (ADMIRE) on image quality in low-energy monochromatic images from a dual-source dual energy computed tomography CT (DSCT) platform.

Acquisitions on an image-quality phantom were performed using DSCT equipment with 100/Sn150 kVp for four dose levels (CTDI

20/11/8/5mGy). Raw data were reconstructed for six energy levels (40/50/60/70/80/100 keV) using filtered back projection and two levels of ADMIRE (A3/A5). Noise power spectrum (NPS) and task-based transfer function (TTF) were calculated on virtual monoenergetic images (VMIs). Detectability index (d') was computed to model the detection task of two enhanced iodine lesions as function of keV.

Noise-magnitude was significantly reduced between 40 to 70 keV by -56±0% (SD) (range -56%--55%) with FBP; -56±0% (SD) (-56%--56%) with A3; and -57±1% (SD) (range -57%--56%) with A5. The average spatial frequency of the NPS peaked at 70 keV and decreased as ADMIRE level increased. TTF values at 50% were greatest at 40 keV and shifted towards lower frequencies as the keV increased. The detectability of both lesions increased with increasing dose level and ADMIRE level. For the simulated lesion with iodine at 2mg/mL, d' values peaked at 70 keV for all reconstruction types, except for A3 at 20 mGy and A5 at 11 and 20 mGy, where d' peaked at 60 keV. For the other simulated lesion, d' values were highest at 40 keV and decreased beyond.

At low keV on VMIs, this study confirms that iterative reconstruction reduces the noise magnitude, improves the spatial resolution and increases the detectability of enhanced iodine lesions.

At low keV on VMIs, this study confirms that iterative reconstruction reduces the noise magnitude, improves the spatial resolution and increases the detectability of enhanced iodine lesions.

Chest computed tomography (CT) is a useful tool for the diagnosis of coronavirus disease-2019 (COVID-19), although its exact value for predicting critical illness remains unclear. This study evaluated the efficacy of chest CT to predict disease progression, pulmonary complications, and viral positivity duration.

A single-center cohort study was conducted by consecutively including hospitalized patients with confirmed COVID-19. The chest CT patterns were described and a total severity score was calculated. The predictive accuracy of the severity score was evaluated using the receiver operating characteristic analysis, while a Cox proportional hazards regression model was implemented to identify the radiological features that are linked to prolonged duration of viral positivity.

Overall, 42 patients were included with 10 of them requiring intensive care unit admission. The most common lesions were ground glass opacities (92.9%), consolidation (66.7%), and crazy-paving patterns (61.9%). The total severity ficacy of the severity score and elucidate the long-term pulmonary effects of COVID-19.

Latino early adolescents have a high prevalence of overweight and obesity. Interventions to address healthy eating among Latino youth frequently focus on fruit and vegetable (FV) intake. Reflection spectroscopy assessed skin carotenoid (SC) levels has been proposed as an easy, noninvasive method to evaluate FV intake, but validation studies involving ethnically diverse youth are lacking.

This study aimed to assess the association between reflection spectroscopy-measured SC scores and self-reported FV intake among low-income, urban, Latino early adolescents, controlling for potential confounding factors.

This study was a cross-sectional secondary analysis of baseline data from a community-based intervention program (Padres Preparados, Jóvenes Saludables) involving Latino fathers and adolescents to improve paternal parenting practices and youth energy balance-related behaviors.

Participants were 195 low-income, Latino early adolescents (aged 10 to 14 years). Data were collected in the Minneapolis/St Pau of seasonal variation and home FV availability and accessibility.

Findings supported using SC score as a potential easy-to-use indicator of FV intake among Latino youth with consideration of seasonal variation and home FV availability and accessibility.

Financial toxicity (FT) refers to the detrimental effects of financial strain caused by a cancer diagnosis on the well-being of patients and their families. It is highly prevalent among cancer patients and has been associated with inferior clinical outcomes.

To summarize the literature regarding FT among patients with prostate, bladder, and kidney cancer, and to propose a framework for future FT investigations.

Primary manuscripts and abstracts reporting FT as a primary or secondary outcome or a covariate in patients with prostate, bladder, or kidney cancer, published before May 2020, were retrieved using the PubMed, Scopus, Embase, CINAHL, and Cochrane databases in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. Of 629 titles identified, 19, ten, and two studies met the inclusion criteria for prostate, bladder, and kidney cancer, respectively, and were included (24 unique articles).

Significant heterogeneity was observed in covariates, methodtoxicity affects many prostate, bladder, and kidney cancer patients; however, this toxicity is understudied. It is associated with decreased quality of life and lower medication and treatment adherence.

To compare cardiovascular and ventilatory effects, immobilization quality and effects on tissue perfusion of a medetomidine-ketamine-midazolam combination with or without vatinoxan (MK-467), a peripherally acting α

-adrenoceptor antagonist.

Randomized, blinded, crossover study.

A group of nine healthy Patagonian maras (Dolichotis patagonum).

Maras were immobilized twice with 1) medetomidine hydrochloride (0.1 mg kg

)+ ketamine (5 mg kg

)+ midazolam (0.1 mg kg

) (MKM)+ saline or 2) MKM+ vatinoxan hydrochloride (0.8 mg kg

), administered intramuscularly. see more Drugs were mixed in the same syringe. At 20, 30 and 40 minutes after injection, invasive blood pressure, heart rate, respiration rate, end-tidal CO

, haemoglobin oxygen saturation, and muscle oxygenation were measured, arteriovenous oxygen content difference was calculated. Muscle tone, jaw tone, spontaneous blinking and palpebral reflex were evaluated. Times to initial effect, recumbency, initial arousal and control of the head were recorded. Paired t test, Wilcoxon matched-pairs signed rank test and analysis of variance were used to compare protocols; (p < 0.