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rientation) showed superiority in reflecting NSCLC intratumoral regional heterogeneity.

Real-time 3D echocardiography is a promising method for non-invasive assessment of right ventricular performance in children with congenital heart disease. Volume quantification using knowledge-based reconstruction (KBR) enables the calculation of right ventricular dimensions by matching endocardial landmarks with a reference library of right ventricular shapes. However, paediatric reference values for volumes based on KBR are missing. Aim of this study was to establish reference values for right ventricular volumes in a large paediatric population using 3D echocardiography and KBR.

In a multicentre prospective-design study, 545 healthy children and adolescents (age range, 1 day to 216 months) underwent 3D echocardiography of the right ventricle using two different vendors (iE33, Philips or Vivid 7, GE). Volume analysis was performed by a semiautomatic quantification software (VMS, Ventripoint Diagnostics Ltd., Washington, US). Reference centiles were computed using Cole’s LMS method and the gamlss packagor the analysis of right ventricular size and function.

Calculation of ventricular volumes by KBR allows reliable non-invasive assessment of right ventricular volumes with excellent intra- and interobserver variations. The calculated percentiles based on a large paediatric population serve as a reference and may facilitate the use of real-time 3D echocardiography for the analysis of right ventricular size and function.The number of imaging studies performed on elderly individuals will increase in the next several decades. It is important to understand normal age-related changes in the structural and functional imaging appearance of the liver. This article highlights a number of liver aging aspects which are particularly relevant to magnetic resonance imaging (MRI). Physiology of aging liver is associated with a reduction in size, in perfusion, and in function. Pulsed echo-Doppler showed substantial reduction of portal flow in elderly subjects, particularly those after the age of 75 years old. An MRI biomarker diffusion derived vessel density (DDVD) demonstrated that liver microperfusion volume in healthy females starts to decrease even before menopause age. Liver fat content and iron content increase with aging, and the change is more substantial in women after menopause. Adult men have higher liver fat and iron contents than women from the start and change less during aging. Nonalcoholic fatty liver disease (NAFLD) is very common among assumed healthy subjects. There is a male predominance of NAFLD from the paediatric population up to fifth decade of life in adults. After the age of 60 years, women overtake their male counterparts in prevalence of NAFLD. Higher liver fat leads to decreased apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM)-Dslow measures. Higher liver iron content shortens T2* measure, lower ADC and IVIM-Dslow measures, increases imaging noises and decreases liver visibility. Young women have high liver T1rho value and then decrease substantially, while liver T1rho in men remains relatively unchanged with aging. In positron emission tomography (PET) studies, aging is associated with an increase of both liver fluorine-18-fluorodeoxyglucose maximum standard uptake and mean standard uptake values.Although Artificial Intelligence (AI) is being increasingly applied, considerable distrust about introducing “disruptive” technologies persists. Intrinsic and contextual factors influencing where and how such innovations are introduced therefore require careful scrutiny to ensure that health equity is promoted. To illustrate one such critical approach, we describe and appraise an AI application – the development of computer assisted diagnosis (CAD) to support more efficient adjudication of compensation claims from former gold miners with occupational lung disease in Southern Africa. In doing so, we apply a bio-ethical lens that considers the principles of beneficence, non-maleficence, autonomy and justice and add explicability as a core principle. We draw on the AI literature, our research on CAD validation and process efficiency, as well as apprehensions of users and stakeholders. Rapamycin inhibitor Issues of concern included AI accuracy, biased training of AI systems, data privacy, impact on human skill development, transparency and accountability in AI use, as well as intellectual property ownership. We discuss ways in which each of these potential obstacles to successful use of CAD could be mitigated. We conclude that efforts to overcoming technical challenges in applying AI must be accompanied from the onset by attention to ensuring its ethical use.Globally, 10-20% of children and adolescents experience mental health conditions, but most of them do not receive the appropriate care when it is needed. The COVID-19 deaths and prevention measures, such as the lockdowns, economic downturns, and school closures, have affected many communities physically, mentally, and economically and significantly impacted the already-neglected children and adolescents’ mental health. As a result, evidence has shown that many children and adolescents are experiencing psychological effects such as depression and anxiety without adequate support. The consequences of not addressing the mental health conditions in children and adolescents extend through adulthood and restrict them from reaching their full potential. The effects of COVID-19 on children and adolescents’ mental health highlight the urgent need for multisectoral home-grown solutions to provide early diagnosis and treatment and educate caregivers on home-based interventions and community outreach initiatives to address children and adolescents’ mental health challenges during this pandemic and beyond.It is well known that changes in the starting powder can have a significant impact on the laser powder bed fusion process and subsequent part performance. Relationships between the powder particle size distribution and powder performance such as flowability and spreadability are generally known; however, links to part performance are not fully established. This study attempts to more precisely isolate the effect of particle size by using three customized batches of 17-4 PH stainless steel powders with small shifts in particle size distributions having non-intersecting cumulative size distributions, designated as Fine, Medium, and Coarse. It is found that the Fine powder has the worst overall powder performance with poor flow and raking during spreading while the Coarse powder has the best overall flow. Despite these differences in powder performance, the microstructures (i.e., porosity, grain size, phase, and crystallographic texture) of the built parts using the same process parameters are largely the same. Furthermore, the Medium powder produced parts with the highest mechanical properties (i.