Impact of deep learning image reconstructions (DLIR) on coronary artery calcium quantification

BACKGROUND Deep learning image reconstructions (DLIR) have been recently introduced as an alternative to filtered back projection (FBP) and iterative reconstruction (IR) algorithms for computed tomography (CT) image reconstruction. The aim of this study was to evaluate the effect of DLIR on image quality and quantification of coronary artery calcium (CAC) in comparison to FBP. METHODS One hundred patients were consecutively enrolled. Image quality-associated variables (noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR)) as well as CAC-derived parameters (Agatston score, mass, and volume) were calculated from images reconstructed by using FBP and three different strengths of DLIR (low (DLIR_L), medium (DLIR_M), and high (DLIR_H)). Patients were stratified into 4 risk categories according to the Coronary Artery Calcium - Data and Reporting System (CAC-DRS) classification: 0 Agatston score (very low risk), 1-99 Agatston score (mildly increased risk), Agatston 100-299 (moderately increased risk), and ≥ 300 Agatston score (moderately-to-severely increased risk). RESULTS In comparison to standard FBP, increasing strength of DLIR was associated with a significant and progressive decrease of image noise (p < 0.001) alongside a significant and progressive increase of both SNR and CNR (p < 0.001). The use of incremental levels of DLIR was associated with a significant decrease of Agatston CAC score and CAC volume (p < 0.001), while mass score remained unchanged when compared to FBP (p = 0.232). The underestimation of Agatston CAC led to a CAC-DRS misclassification rate of 8%. CONCLUSION DLIR systematically underestimates Agatston CAC score. Therefore, DLIR should be used cautiously for cardiovascular risk assessment. KEY POINTS • In coronary artery calcium imaging, the implementation of deep learning image reconstructions improves image quality, by decreasing the level of image noise. • Deep learning image reconstructions systematically underestimate Agatston coronary artery calcium score. • Deep learning image reconstructions should be used cautiously in clinical routine to measure Agatston coronary artery calcium score for cardiovascular risk assessment

Pore geometry effect on the synthesis of silica supported perovskite oxides

The formation of perovskite oxide nanoparticles supported on ordered mesoporous silica with different pore geometry is here presented. Systematic study was performed varying both pore shape (gyroidal, cylindrical, spherical) and size (7.5, 12, 17 nm) of the hosts. LaFeO$_3$, PrFeO$_3$ and LaCoO$_3$ were chosen as target guest structures. The distribution of the oxide nanoparticles on silica was comprehensively assessed using a multi-technique approach. It could be shown that the pore geometry plays a determining role in the conversion of the infiltrated metal nitrates to metal oxide. In particular, slow degradation kinetic was observed in highly curved pores, which fostered nucleation and crystallization of the guest species. In spherical pore systems the enhancement of pore size caused a remarkable delay of the decomposition of the metal salts, but at the same time improved the homogeneous distribution of the oxide particles in the matrix

Electronic nicotine delivery systems: a research agenda

Electronic nicotine delivery systems (ENDS, also called electronic cigarettes or e-cigarettes) are marketed to deliver nicotine and sometimes other substances by inhalation. Some tobacco smokers report that they used ENDS as a smoking cessation aid. Whether sold as tobacco products or drug delivery devices, these products need to be regulated, and thus far, across countries and states, there has been a wide range of regulatory responses ranging from no regulation to complete bans. The empirical basis for these regulatory decisions is uncertain, and more research on ENDS must be conducted in order to ensure that the decisions of regulators, health care providers and consumers are based on science. However, there is a dearth of scientific research on these products, including safety, abuse liability and efficacy for smoking cessation. The authors, who cover a broad range of scientific expertise, from basic science to public health, suggest research priorities for non-clinical, clinical and public health studies. They conclude that the first priority is to characterize the safety profile of these products, including in long-term users. If these products are demonstrated to be safe, their efficacy as smoking cessation aids should then be tested in appropriately designed trials. Until these studies are conducted, continued marketing constitutes an uncontrolled experiment and the primary outcome measure, poorly assessed, is user health. Potentially, this research effort, contributing to the safety and efficacy of new smoking cessation devices and to the withdrawal of dangerous products, could save many lives

Impact of Simulator-Based Training in Focused Transesophageal Echocardiography: A Randomized Controlled Trial.

BACKGROUND The aim of the study was to determine if training in transesophageal echocardiography (TEE) using a TEE simulator improves the ability of novice operators to perform and interpret a focused critical care TEE. METHODS In this prospective, randomized, controlled study with blinded outcome assessment, 44 intensive care unit trainees were randomly assigned to a control group receiving 4 hours of lecture-based training only, or an intervention group which was additionally trained for 4 hours using a TEE simulator. After the training intervention, each participant performed 2 TEEs in intensive care unit patients which were evaluated by blinded assessors. The imaging quality of TEEs was measured using a predefined examination quality score ranging from 0 to 100 points. The correct quantification of pathologies and the interpretation of the TEEs were evaluated by blinded assessors using focused and comprehensive expert TEEs as comparators. RESULTS A total of 114 TEEs were assessed. The mean examination quality score was 55.9 (95% confidence interval [CI], 50.3-61.5) for TEEs of the control group, 75.6 (95% CI, 70.1-81.0) for TEEs of the intervention group, and 88.5 (95% CI, 79.3-97.7) for TEEs in the expert group. The multiple comparisons revealed significant differences between all groups (19.7 [95% CI, 12.8-26.6], P < .001 for intervention versus control; 32.6 [95% CI, 23.0-42.3], P < .001 for expert versus control; 12.9 [95% CI, 3.4-22.5], P = .008 for expert versus intervention). Substantial agreement of the quantification and interpretation ratings of basic TEEs by the intervention (86.7% for quantification and 97.1% for interpretation) or expert group (93.2% for quantification and 98.4% for interpretation) with blinded assessors was detected. The control groups TEEs agreed less (75.6% for quantification and 91.8% for interpretation). CONCLUSIONS Simulation-based TEE training improves the ability of novice operators to perform a focused critical care TEE in comparison to lecture-based education only. After 8 hours of simulator and lecture-based training, the majority of TEEs of novices are of sufficient quality for clinical use. Furthermore, a substantial skill level in correct quantification and interpretation of imaging is achieved

Geochemistry of the Pepom tephra deposits: The most recent intracaldera volcanism of Sete Cidades volcano, São Miguel, Azores

ISSN:0377-027

Defining clinical assessment standards for bachelor's-prepared nurses in Switzerland

PURPOSE: A rigorous process of collaboration among multilingual and multicultural nursing faculties throughout Switzerland to define optimized learning goals for clinical assessment education at the bachelor's level is described in the context of wider European academic harmonization. Formation of a consensus-seeking panel proved a useful strategy for disseminating knowledge among academic nursing faculties in the early years of tertiary nursing education. The process enabled representatives of competing institutions to share scarce resources and articulate the added value of a bachelor's degree in nursing. CONCLUSIONS: A consensus-building strategy has applicability for nursing faculties wishing to increase collaboration, efficiency, and effectiveness early in the process of academic nursing development. Lack of availability of learning materials written in the languages of the local clinical setting is a barrier to teaching advanced assessment skills. CLINICAL RELEVANCE: Clinical assessment education that teaches a systematic approach to data collection, analysis, and reporting is central to producing excellent clinical professionals