Electronic Decision-Making Tool for Smoking Cessation (Pare de Fumar Conosco) Versus Standard of Care: A Cost-Effectiveness Analysis.

OBJECTIVES: The study aimed to evaluate the cost-effectiveness of the Pare de Fumar Conosco software compared with the standard of care adopted in Brazil for the treatment of smoking cessation. METHODS: In the cohort of smokers with multiple chronic conditions, we developed an decision tree model for the benefit measures of smoking cessation. We adopted the perspectives of the Brazilian Unified Health System and the service provider. Resources and costs were measured by primary and secondary sources and effectiveness by a randomized clinical trial. The incremental cost-effectiveness ratio (ICER) was calculated, followed by deterministic and probabilistic sensitivity analyses and deterministic and probabilistic sensitivity analyses. No willingness to pay threshold was adopted. RESULTS: The software had a lower cost and greater effectiveness than its comparator. The ICER was dominant in all of the benefits examined (-R$2 585 178.29 to -R$325 001.20). The cost of the standard of care followed by that of the electronic tool affected the ICER of the benefit measures. In all probabilistic analyses, the software was superior to the standard of care (53.6%-82.5%). CONCLUSION: The Pare de Fumar Conosco software is a technology that results in cost savings in treating smoking cessation.

Using the PhenX Toolkit to Select Standard Measurement Protocols for Your Research Study.

The goals of PhenX (consensus measures for Phenotypes and eXposures) are to promote the use of standard measurement protocols and to help investigators identify opportunities for collaborative research and cross-study analysis, thus increasing the impact of individual studies. The PhenX Toolkit (https://www.phenxtoolkit.org/) offers high-quality, well-established measurement protocols to assess phenotypes and exposures in studies with human participants. The Toolkit contains protocols representing 29 research domains and 6 specialty collections of protocols that add depth to the Toolkit in specific research areas (e.g., COVID-19, Social Determinants of Health [SDoH], Blood Sciences Research [BSR], Mental Health Research [MHR], Tobacco Regulatory Research [TRR], and Substance Abuse and Addiction [SAA]). Protocols are recommended for inclusion in the PhenX Toolkit by Working Groups of domain experts using a consensus process that includes input from the scientific community. For each PhenX protocol, the Toolkit provides a detailed description, the rationale for inclusion, and supporting documentation. Users can browse protocols in the Toolkit, search the Toolkit using keywords, or use Browse Protocols Tree to identify protocols of interest. The PhenX Toolkit provides data dictionaries compatible with the database of Genotypes and Phenotypes (dbGaP), Research Electronic Data Capture (REDCap) data submission compatibility, and data collection worksheets to help investigators incorporate PhenX protocols into their study design. The PhenX Toolkit provides resources to help users identify published studies that used PhenX protocols. © 2021 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol: Using the PhenX Toolkit to support or extend study design.

A prospective multicenter validation study for a novel angiography-derived physiological assessment software: Rationale and design of the radiographic imaging validation and evaluation for Angio-iFR (ReVEAL iFR) study.

Angiography-derived physiological assessment of coronary lesions has emerged as an alternative to wire-based assessment aiming at less-invasiveness and shorter procedural time as well as cost effectiveness in physiology-guided decision making. However, current available image-derived physiology software have limitations including the requirement of multiple projections and are time consuming. METHODS/DESIGN: The ReVEAL iFR (Radiographic imaging Validation and EvALuation for Angio-iFR) trial is a multicenter, multicontinental, validation study which aims to validate the diagnostic accuracy of the Angio-iFR medical software device (Philips, San Diego, US) in patients undergoing angiography for Chronic Coronary Syndrome (CCS). The Angio-iFR will enable operators to predict both the iFR and FFR value within a few seconds from a single projection of cine angiography by using a lumped parameter fluid dynamics model. Approximately 440 patients with at least one de-novo 40% to 90% stenosis by visual angiographic assessment will be enrolled in the study. The primary endpoint is the sensitivity and specificity of the iFR and FFR for a given lesion compared to the corresponding invasive measures. The enrollment started in August 2019, and was completed in March 2021. SUMMARY: The Angio-iFR system has the potential of simplifying physiological evaluation of coronary stenosis compared with available systems, providing estimates of both FFR and iFR. The ReVEAL iFR study will investigate the predictive performance of the novel Angio-iFR software in CCS patients. Ultimately, based on its unique characteristics, the Angio-iFR system may contribute to improve adoption of functional coronary assessment and the workflow in the catheter laboratory.

Assessment of Renal Cell Carcinoma by Texture Analysis in Clinical Practice: A Six-Site, Six-Platform Analysis of Reliability.

BACKGROUND. Multiple commercial and open-source software applications are available for texture analysis. Nonstandard techniques can cause undesirable variability that impedes result reproducibility and limits clinical utility. OBJECTIVE. The purpose of this study is to measure agreement of texture metrics extracted by six software packages. METHODS. This retrospective study included 40 renal cell carcinomas with contrast-enhanced CT from The Cancer Genome Atlas and Imaging Archive. Images were analyzed by seven readers at six sites. Each reader used one of six software packages to extract commonly studied texture features. Inter- and intrareader agreement for segmentation was assessed with intraclass correlation coefficients (ICCs). First-order (available in six packages) and second-order (available in three packages) texture features were compared between software pairs using Pearson correlation. RESULTS. Inter- and intrareader agreement was excellent (ICC, 0.93-1). First-order feature correlations were strong (r ≥ 0.8, p < .001) between 75% (21/28) of software pairs for mean intensity and SD, 48% (10/21) for entropy, 29% (8/28) for skewness, and 25% (7/28) for kurtosis. Of 15 second-order features, only cooccurrence matrix correlation, gray-level nonuniformity, and run-length nonuniformity showed strong correlation between software packages (r = 0.90-1, p < .001). CONCLUSION. Variability in first- and second-order texture features was common across software configurations and produced inconsistent results. Standardized algorithms and reporting methods are needed before texture data can be reliably used for clinical applications. CLINICAL IMPACT. It is important to be aware of variability related to texture software processing and configuration when reporting and comparing outputs.

Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of Sphere, Vitrea, and RAPID.

BACKGROUND: CT perfusion (CTP) infarct and penumbra estimations determine the eligibility of patients with acute ischemic stroke (AIS) for endovascular intervention. This study aimed to determine volumetric and spatial agreement of predicted RAPID, Vitrea, and Sphere CTP infarct with follow-up fluid attenuation inversion recovery (FLAIR) MRI infarct. METHODS: 108 consecutive patients with AIS and large vessel occlusion were included in the study between April 2019 and January 2020 . Patients were divided into two groups: endovascular intervention (n=58) and conservative treatment (n=50). Intervention patients were treated with mechanical thrombectomy and achieved successful reperfusion (Thrombolysis in Cerebral Infarction 2b/2 c/3) while patients in the conservative treatment group did not receive mechanical thrombectomy or intravenous thrombolysis. Intervention and conservative treatment patients were included to assess infarct and penumbra estimations, respectively. It was assumed that in all patients treated conservatively, penumbra converted to infarct. CTP infarct and penumbra volumes were segmented from RAPID, Vitrea, and Sphere to assess volumetric and spatial agreement with follow-up FLAIR MRI. RESULTS: Mean infarct differences (95% CIs) between each CTP software and FLAIR MRI for each cohort were: intervention cohort: RAPID=9.0±7.7 mL, Sphere=-0.2±8.7 mL, Vitrea=-7.9±8.9 mL; conservative treatment cohort: RAPID=-31.9±21.6 mL, Sphere=-26.8±17.4 mL, Vitrea=-15.3±13.7 mL. Overlap and Dice coefficients for predicted infarct were (overlap, Dice): intervention cohort: RAPID=(0.57, 0.44), Sphere=(0.68, 0.60), Vitrea=(0.70, 0.60); conservative treatment cohort: RAPID=(0.71, 0.56), Sphere=(0.73, 0.60), Vitrea=(0.72, 0.64). CONCLUSIONS: Sphere proved the most accurate in patients who had intervention infarct assessment as Vitrea and RAPID overestimated and underestimated infarct, respectively. Vitrea proved the most accurate in penumbra assessment for patients treated conservatively although all software overestimated penumbra.

Relative and Absolute Reliability of a Motor Assessment System Using KINECT® Camera.

(1) Background: Virtual reality is currently useful in different clinical specialties as a diagnostic and therapeutic tool. In this study, we analyzed the relative and absolute reliability of the motor evaluation with the Kinect camera, a markerless motion system. (2) Methods: Observational study in healthy people, whose inclusion criteria were: healthy people, age 18 to 40 years old without pathologies or injuries in osteoarticular structures or ligamentous muscle and pharmacological treatment with influence on motor skills. Fifty-two subjects were evaluated. (3) Results: The results of the relative reliability were favorable in variables such as the amplitude of passage of the right leg (ICC (Intraclass Correlation Coefficient) = 0.95 ± 0.03), the step width of the left leg (ICC = 0.92 ± 0.04) or balance of the left leg (ICC = 0.90 ± 0.05). Moderate values were found for other variables. The absolute reliability, measured by the coefficient of variation, was favorable in most of the variables. (4) Conclusions: The results reflect a favorable intraclass correlation in the evaluation of the variation and asymmetry of movements of the upper limbs, the balance of both legs, the side step width and the evaluation of the sitting and standing positions. The reliability of the evaluation of the variation of movements and the asymmetry of the lower limbs must be further improved.

[Interactive, semi-automatized and open source computational model applied to respiratory viruses surveillance]. / Modelo computacional interactivo, semi-automatizado y de código abierto aplicado a la vigilancia de virus respiratorios.

Acute respiratory infections (ARI) are an important cause of morbidity and mortality worldwide, affecting mainly children and the elderly. They are associated with a high economic burden, increased number of medical visits and hospitalizations. The surveillance of the circulation of respiratory viruses can reduce the health care associated costs, and to optimize the health response. A platform based on R and its package Shiny was designed, to create an interactive and friendly web interface for gathering, analysis and publication of the data. The data from the Chilean metropolitan respiratory viruses surveillance network, available since 2006, was uploaded into the platform. Using this platform, the researcher spends less than 1 minute to upload the data, and the analysis and publication is immediate, available to be seen by any user with a device connected to Internet, who can choose the variables to be displayed. With a very low cost, in a short time, and using the R programming language, it was possible to create a simple, and interactive platform, considerably decreasing the upload and analysis time, and increasing the impact and availability of this surveillance.

Impacto de las aplicaciones y servicios informáticos desarrollados por la Universidad de las Ciencias Informáticas para el sector de la salud / Impact of Applications and Computer Services Developed by the University of Informatics Sciences for the Health Sector

La implementación de aplicaciones y servicios informáticos en el sector de la salud es uno de los desafíos de las tecnologías de la información y las comunicaciones. La informática médica como disciplina integradora recibe un importante impacto del enfoque de la ciencia, la tecnología y la sociedad que domina el campo biomédico, las ciencias biotecnológicas y farmacéuticas. La Universidad de Ciencias Informáticas (UCI) desde su fundación ha participado en el desarrollo de aplicaciones y servicios informáticos para el sector sanitario cubano. Esta universidad ha desarrollado e implementado la Plataforma de imágenes médicas, el Sistema de Información Hospitalaria y el Sistema de manejo de datos de Ensayos Clínicos. Estas aplicaciones introducen en la sociedad cubana un valor constituido en beneficios sociales, económicos y culturales-organizacionales. Además, contribuyen a la gestión de las instituciones de salud y la eficiencia económica. Este artículo describe el impacto social, económico y ambiental de las aplicaciones y servicios informáticos desarrollados por la Universidad(AU)

Applications and computer services implementation in the health sector is one of the information and communications technologies challenges. Medical informatics as an integrating discipline receives an important impact from the science, technology and society approach that dominates the biomedical field, biotechnological and pharmaceutical sciences. The Informatics Sciences University (UCI) since the beginnings has participated in the development of applications and computer services for the Cuban health sector. UCI has developed and implemented the Medical Imaging Platform, the Hospital Information System, and the Clinical Trials Data Management System. These applications introduced in the Cuban society a valuable social, economic and cultural-organizational benefit. Additionally those applications contributed to the health institutions management and the economic efficiency. This paper describes the social, economic and environmental impact of the applications and computer services developed by the university(AU)

Estrategia de entrenamiento y acompañamiento a usuarios para el Sistema de Información Hospitalaria XAVIA HIS / Strategy for developing non-functional requirements in health applications

Una de las etapas de un proceso de despliegue de un sistema informático, es la capacitación de los usuarios finales. En algunas ocasiones se subestima la profundidad del impacto de los cambios técnicos en la organización y en los empleados al implantar un sistema informático y no se contrata el servicio de entrenamiento. El presente artículo describe una estrategia de entrenamiento y acompañamiento a usuarios en el proceso de implantación del Sistema de Información Hospitalaria XAVIA HIS. Los principales resultados se relacionan con la definición de acciones, métodos y técnicas que permiten planificar y ejecutar los servicios de entrenamiento y acompañamiento con una mayor eficiencia de las actividades ejecutadas, así como los programas bases de entrenamiento para especialistas informáticos, así como técnicos y profesionales de la salud(AU)

End user training is one of the computer system deployment process stages. The technical changes depth impact on the organization and on employees when implementing a computer system sometimes is underestimated and the training service is not hired. This article describes a training and accompaniment strategy for users in the Hospital Information System XAVIA HIS implementation process. Main results are related to the actions, methods and techniques definition that allow planning and executing the training and accompaniment services with greater efficiency of the activities carried out. Also, the paper present the basic training programs for computer specialists, health technicians and professionals(AU)

Informatics and Cognitive Assessment: A RUDAS Scale Paradigm.

BACKGROUND: Cognitive assessment is an essential element of the screening process of Alzheimer's disease. The prevalence of dementia is increasing and so are the numbers of immigrants and elderly population relocating and in need for health diagnosis and treatment. However, most of the psychometric tools used in psychological assessments are time-consuming and suffer from biases of language and cultural restrictions. OBJECTIVES: Our objective was to create a computerized version of a multicultural cognitive screening test, which would simplify cognitive assessment of elderly multicultural population, as routine part of health check-up procedures. METHODS: The application was implemented in Android Studio and was written in Java code with the use of a home PC and a tablet. Rowland Universal Dementia Assessment Scale (RUDAS) was chosen. RUDAS is a cognitive screening tool with good psychological characteristics, which was created for multicultural and bilingual populations and was free to download. The collaboration with an authorized psychologist was essential for the ethics of the psychometric science. RESULTS: The complete computerized version of RUDAS will include the six-item questionnaire, assessing specific cognitive domains which are in high correlation with Alzheimer's screening process, such as registration, visuospatial orientation, praxis, visuo-constructional drawing, judgment, memory recall and language. CONCLUSION: The utilization of informatics in making cognitive assessment a user-friendly, validated, not time- or cost-consuming procedure would add value to psychometric tools which still are administered with "pen and paper", when this proceeds with respect to the ethics of the science.

Competency Assessment in Simulation of Electronic Health Records Tool Development.

Rapid deployment of electronic health records has resulted in a need for simulation centers to integrate the use of electronic health records into simulation-based learning activities within the clinical workflow. To assess the quality of the documentation in the electronic health record, the Competency Assessment in Simulation of Electronic Health Records Tool was developed. Lynn's method of content validity, combined with nominal group and Delphi techniques, was used to identify 15 domains of best practice in documentation. Participants with expertise in academic education, simulation, and informatics provided input into the development of the tool. The tool evolved over three rounds of Delphi that refined the language and provided anchors to promote accurate assessment of student and nurse documentation. The results of the Delphi narrowed the 15 domains down to 10 domains for scoring best practices in electronic documentation within simulation-based learning activities. The Competency Assessment in Simulation of Electronic Health Records Tool was developed to address the electronic health record competencies of both nursing students and practicing nurses in a simulation environment.

The Efficacy of Software to Help Patients Understand Drug for Adjuvant Treatment for Breast Cancer: A Pilot Randomized Controlled Trial.

We assessed the usefulness of ChemoCalc, a software package for calculating drug costs, in helping patients understand these costs. We randomly assigned, in a 1 : 1 ratio, 20 women who had undergone surgery for early breast cancer to a group that discussed adjuvant treatment with their physicians using the ChemoCalc software (ChemoCalc group) or a group that discussed adjuvant treatment without ChemoCalc (Usual Explanation group). The participants completed a five-grade evaluation questionnaire after these discussions. The primary endpoint was the intergroup comparison of the questionnaire scores regarding participants' understanding of their treatment-associated drug costs. Median age was not significantly different between the ChemoCalc group and Usual Explanation group (57 vs. 50, respectively; p=0.27). Patients in the ChemoCalc group had a significantly higher perceived level of understanding of the drug cost than those in the Usual Explanation group (5 [4-5] vs. 2.5 [1-5], respectively; p=0.002). Scores related to the patients' perception that understanding drug costs is an important part of breast cancer treatment were also higher in the ChemoCalc group than the Usual Explanation group (5 [2-5] vs. 3 [1-5], respectively; p=0.049). ChemoCalc was found to be useful for understanding drug costs.

System dynamics modeling for tooth decay treatment in Brazilian children.

Prevention and health promotion are considered important strategies to control oral diseases. Dental caries is preventable disease and remains the most common chronic disease that affects mainly low income children and still considered the main cause of tooth loss in adulthood in Brazil. The aim of this study is to present a System Dynamics model (SDM) specifically developed with the Stella Architect software to estimate the cost and clinical hours required to control the evolution of dental caries in preschool children in Maringá, Brazil. Two main strategies to control caries were considered in the model: the application of fluoride varnish on teeth presenting white spots, and the use of Atraumatic Restorative Treatment (ART) in cavitated carious lesions without pulp involvement. The parameters used in the model were: number of people covered by a local oral health team = 4,000; number of children up to 5 years = 7% of the population; children's decayed, missing, filled teeth (dmft) index = 2.4; time/cost of 4 applications of fluoride varnish = 5 minutes/US$ 0.716; and time/cost of each ART restoration = 15 minutes/US$ 1.475. The SDM generated an estimated total cost of US$698.00, and a total of 112 clinical hours to treat the population in question. The use of the SDM presented here has the potential to assist decision making by measuring the material and human resources required to prevent and control dental caries at an early age.

Comprehensive assessment of computational algorithms in predicting cancer driver mutations.

BACKGROUND: The initiation and subsequent evolution of cancer are largely driven by a relatively small number of somatic mutations with critical functional impacts, so-called driver mutations. Identifying driver mutations in a patient's tumor cells is a central task in the era of precision cancer medicine. Over the decade, many computational algorithms have been developed to predict the effects of missense single-nucleotide variants, and they are frequently employed to prioritize mutation candidates. These algorithms employ diverse molecular features to build predictive models, and while some algorithms are cancer-specific, others are not. However, the relative performance of these algorithms has not been rigorously assessed. RESULTS: We construct five complementary benchmark datasets: mutation clustering patterns in the protein 3D structures, literature annotation based on OncoKB, TP53 mutations based on their effects on target-gene transactivation, effects of cancer mutations on tumor formation in xenograft experiments, and functional annotation based on in vitro cell viability assays we developed including a new dataset of ~ 200 mutations. We evaluate the performance of 33 algorithms and found that CHASM, CTAT-cancer, DEOGEN2, and PrimateAI show consistently better performance than the other algorithms. Moreover, cancer-specific algorithms show much better performance than those designed for a general purpose. CONCLUSIONS: Our study is a comprehensive assessment of the performance of different algorithms in predicting cancer driver mutations and provides deep insights into the best practice of computationally prioritizing cancer mutation candidates for end-users and for the future development of new algorithms.

Optimizing the Analytical Value of Oncology-Related Data Based on an In-Memory Analysis Layer: Development and Assessment of the Munich Online Comprehensive Cancer Analysis Platform.

BACKGROUND: Many comprehensive cancer centers incorporate tumor documentation software supplying structured information from the associated centers' oncology patients for internal and external audit purposes. However, much of the documentation data included in these systems often remain unused and unknown by most of the clinicians at the sites. OBJECTIVE: To improve access to such data for analytical purposes, a prerollout of an analysis layer based on the business intelligence software QlikView was implemented. This software allows for the real-time analysis and inspection of oncology-related data. The system is meant to increase access to the data while simultaneously providing tools for user-friendly real-time analytics. METHODS: The system combines in-memory capabilities (based on QlikView software) with innovative techniques that compress the complexity of the data, consequently improving its readability as well as its accessibility for designated end users. Aside from the technical and conceptual components, the software's implementation necessitated a complex system of permission and governance. RESULTS: A continuously running system including daily updates with a user-friendly Web interface and real-time usage was established. This paper introduces its main components and major design ideas. A commented video summarizing and presenting the work can be found within the Multimedia Appendix. CONCLUSIONS: The system has been well-received by a focus group of physicians within an initial prerollout. Aside from improving data transparency, the system's main benefits are its quality and process control capabilities, knowledge discovery, and hypothesis generation. Limitations such as run time, governance, or misinterpretation of data are considered.

Supporting workforce practice change: protocol for a pilot study of a motivational interviewing virtual client software tool for health professionals.

INTRODUCTION: Motivating behavioural change during client consultations is of crucial importance across all health professions to address the growing burden of chronic conditions. Yet health professionals often lack the skills and confidence to use evidence-based counselling interventions to support clients' behavioural change and mobilise clients' resources and self-efficacy for change to address their long-term needs. AIMS: This pre-post pilot study will develop a motivational interviewing (MI) virtual client training tool for health professionals and test the effectiveness of the educational content and usability of the virtual client interaction. METHODS AND ANALYSIS: Postgraduate students across a range of health disciplines will be recruited. Data assessing attitudes towards preventive healthcare will be collected using a modified version of the Preventive Medicine Attitudes and Activities Questionnaire. Conversations with the virtual client will be analysed using the Motivational Interviewing Treatment Integrity code to assess changes in MI skills. The System Usability Scale will be used to assess the usability of the virtual client training tool. ETHICS AND DISSEMINATION: This protocol was approved by the Flinders University Social and Behavioural Research Ethics Committee in May 2019. The results of the pilot study will inform the development of an avatar-based mobile application consisting of MI teaching and interactions with a generic virtual client that can be easily adapted to multiple scenarios.

Modelo computacional interactivo, semi-automatizado y de código abierto aplicado a la vigilancia de virus respiratorios / Interactive, semi-automatized and open source computational model applied to respiratory viruses surveillance

Resumen Las infecciones respiratorias agudas (IRA) causadas por virus son una importante causa de morbilidad y mortalidad en el mundo, afectando principalmente a niños y adultos mayores. Se asocian a un alto número de consultas y hospitalizaciones, a una significativa sobrecarga del sistema de salud y a un alto costo económico. La vigilancia de virus respiratorios tiene el potencial de ayudar a optimizar la respuesta sanitaria, garantizar la disponibilidad de recursos humanos, racionalizar los recursos y disminuir los costos asociados a la atención en salud. Con el objetivo de optimizar la recolección y visualización de los datos de nuestro actual sistema de vigilancia de virus respiratorios, se diseñó una plataforma basada en R y sus paquetes Shiny, que permite la creación de una interfase web interactiva y amigable para la recolección, análisis y publicación de los datos. Se ingresaron a esta plataforma los datos de la red de vigilancia metropolitana de virus respiratorios disponibles desde 2006. En esta plataforma, el investigador demora menos de un minuto en registrar los datos. El análisis y publicación es inmediato, llegando a cualquier usuario con un dispositivo conectado a Internet, quien puede elegir las variables a consultar. Con un costo muy bajo, en poco tiempo y utilizando el lenguaje de programación R, se logró crear un sistema simple e interactivo, disminuyendo el tiempo de carga y análisis de datos de forma considerable, posiblemente aumentando el impacto y la disponibilidad de esta vigilancia.

Abstract Acute respiratory infections (ARI) are an important cause of morbidity and mortality worldwide, affecting mainly children and the elderly. They are associated with a high economic burden, increased number of medical visits and hospitalizations. The surveillance of the circulation of respiratory viruses can reduce the health care associated costs, and to optimize the health response. A platform based on R and its package Shiny was designed, to create an interactive and friendly web interface for gathering, analysis and publication of the data. The data from the Chilean metropolitan respiratory viruses surveillance network, available since 2006, was uploaded into the platform. Using this platform, the researcher spends less than 1 minute to upload the data, and the analysis and publication is immediate, available to be seen by any user with a device connected to Internet, who can choose the variables to be displayed. With a very low cost, in a short time, and using the R programming language, it was possible to create a simple, and interactive platform, considerably decreasing the upload and analysis time, and increasing the impact and availability of this surveillance.

System dynamics modeling for tooth decay treatment in Brazilian children

Abstract Prevention and health promotion are considered important strategies to control oral diseases. Dental caries is preventable disease and remains the most common chronic disease that affects mainly low income children and still considered the main cause of tooth loss in adulthood in Brazil. The aim of this study is to present a System Dynamics model (SDM) specifically developed with the Stella Architect software to estimate the cost and clinical hours required to control the evolution of dental caries in preschool children in Maringá, Brazil. Two main strategies to control caries were considered in the model: the application of fluoride varnish on teeth presenting white spots, and the use of Atraumatic Restorative Treatment (ART) in cavitated carious lesions without pulp involvement. The parameters used in the model were: number of people covered by a local oral health team = 4,000; number of children up to 5 years = 7% of the population; children's decayed, missing, filled teeth (dmft) index = 2.4; time/cost of 4 applications of fluoride varnish = 5 minutes/US$ 0.716; and time/cost of each ART restoration = 15 minutes/US$ 1.475. The SDM generated an estimated total cost of US$698.00, and a total of 112 clinical hours to treat the population in question. The use of the SDM presented here has the potential to assist decision making by measuring the material and human resources required to prevent and control dental caries at an early age.

gPET: a GPU-based, accurate and efficient Monte Carlo simulation tool for PET.

Monte Carlo (MC) simulation method plays an essential role in the refinement and development of positron emission tomography (PET) systems. However, most existing MC simulation packages suffer from long execution time for practical PET simulations. To fully address this issue, we developed and validated gPET, a graphics processing unit (GPU)-based MC simulation tool for PET. gPET was built on the NVidia CUDA platform. The simulation process was modularized into three functional parts and carried out by the GPU parallel threads: (1) source management, including positron decay, transport and annihilation; (2) gamma transport inside the phantom; and (3) signal detection and processing inside the detector. A hybrid of voxelized (for patient phantoms) and parametrized (for detectors) geometries were employed to sufficiently support particle navigations. Multiple inputs and outputs were available. Hence, a user can flexibly examine different aspects of a PET simulation. We evaluated the performance of gPET in three test cases with benchmark work from GATE8.0, in terms of the testing of the functional modules, the physics models used for gamma transport inside the detector, and the geometric configuration of an irregularly shaped PET detector. Both accuracy and efficiency were quantified. In all test cases, the differences between gPET and GATE for the coincidences with respect to the energy and crystal index distributions are below 3.18% and 2.54%, respectively. The speedup factor is 500 for gPET on a single Titan Xp GPU (1.58 GHz) over GATE8.0 on a single core of Intel i7-6850K CPU (3.6 GHz) for all test cases. In summary, gPET is an accurate and efficient MC simulation tool for PET.