[Relationship between air temperature and dengue incidence: time series study in Minas Gerais, Brazil (2010-2019)]. / Relação entre temperatura do ar e incidência de dengue: estudo de séries temporais em Minas Gerais, Brasil (2010-2019).

Air temperature is a climatic factor that affects the incidence of dengue, with effects varying according to time and space. We investigated the relationship between minimum air temperature and dengue incidence in Minas Gerais, Brazil, and evaluated the influence of socioeconomic and geographic variables on this relationship. This is a time series study with analysis conducted in three distinct stages: modeling using a distributed lag non-linear model, meta-analysis of models obtained, and meta-regression with geographic and socioeconomic data. Minimum temperature was a protective factor at extreme cold temperatures (RR = 0.65; 95%CI: 0.56-0.76) and moderate cold temperatures (RR = 0.71; 95%CI: 0.64-0.79), and a risk factor at moderate hot temperatures (RR = 1.15; 95%CI: 1.07-1.24), but not at extreme hot temperatures (RR = 1.1; 95%CI: 0.99-1.22). Heterogeneity of the models was high (I2 = 60%), which was also observed in meta-regression. Moderate and extreme cold temperatures have a protective effect, while moderate hot temperatures increase the risk. However, minimum air temperature does not explain the variability in the region, not even with the other variables in meta-regression.

A temperatura do ar é um fator climático que afeta a incidência da dengue, com efeitos variando conforme o tempo e o espaço. Investigamos a relação entre a temperatura mínima do ar e a incidência da doença em Minas Gerais, Brasil, e avaliamos a influência de variáveis socioeconômicas e geográficas nessa relação, calculando-se o risco relativo (RR). Este é um estudo de série temporal com análise conduzida em três etapas distintas: modelagem por uso de distributed lag non-linear model (modelos não-lineares distributivos com defasagem), metanálise dos modelos obtidos e metarregressão com dados geográficos e socioeconômicos. A temperatura mínima foi um fator de proteção quando em temperaturas frias extremas (RR = 0,65; IC95%: 0,56-0,76) e moderadas (RR = 0,71; IC95%: 0,64-0,79) e fator de risco em temperaturas de calor moderado (RR = 1,15; IC95%: 1,07-1,24), mas não em extremo (RR = 1,1; IC95%: 0,99-1,22). A heterogeneidade dos modelos foi elevada (I2 = 60%) e essa medida não foi alterada em metarregressão. Temperaturas frias moderadas e extremas causam efeito protetivo, enquanto moderadas quentes aumentam o risco. No entanto, a temperatura mínima do ar não explica nem a variabilidade da região, nem mesmo com as outras variáveis em metarregressão.

La temperatura del aire es un factor climático que afecta la incidencia del dengue, con efectos que varían según el tiempo y el territorio. Investigamos la relación entre la temperatura mínima del aire y la incidencia de la enfermedad en Minas Gerais, Brasil, y evaluamos la influencia de variables socioeconómicas y geográficas en esta relación. Se trata de un estudio de serie temporal cuyo análisis se realiza en tres etapas distintas: modelación mediante el uso de distributed lag non-linear model (modelos distributivos no lineales con retraso), metaanálisis de los modelos obtenidos y metarregresión con datos geográficos y socioeconómicos. La temperatura mínima fue un factor de protección ante temperaturas extremadamente frías (RR = 0,65; IC95%: 0,56-0,76) y moderadas (RR = 0,71; IC95%: 0,64-0,79) y factor de riesgo en temperaturas de calor moderado (RR = 1,15; IC95%: 1,07-1,24), pero no en extremo (RR = 1,1; IC95%: 0,99-1,22). La heterogeneidad de los modelos fue alta (I2 = 60%), y esta medida no se modificó en la metarregresión. Las temperaturas frías moderadas y extremas tienen un efecto protector, mientras que las temperaturas moderadamente altas aumentan el riesgo. Sin embargo, la temperatura mínima del aire no explica la variabilidad de la región, ni siquiera con las demás variables en metarregresión.

Occurrence of arbovirus infections in two riverine populations in the municipality of Humaitá, Amazonas, Brazil.

BACKGROUND: The riverine communities of the Amazon comprise different social groups that inhabit the rural areas on the banks of rivers and lakes. Residents usually travel by river to rural and urban areas and are then exposed to urbanized diseases such as those caused by arbovirus infection. In Brazil, emerging diseases such as dengue, Zika, chikungunya, and those caused by infection with Oropouche and Mayaro viruses necessitate epidemiological surveillance. This study was aimed at determining the frequency of positivity for immunoglobulin (Ig)G and IgM antibodies against Zika, chikungunya, and dengue viruses and performing molecular analyses to detect viral RNA for the Zika, chikungunya, dengue virus, Oropouche, and Mayaro viruses, in the same serum samples obtained from riverside populations. METHODS: This cross-sectional study was conducted in a riverside population in the Humaitá municipality of the Brazilian Amazon. More than 80% of the local population participated in this study. Entomological samples were collected to identify local mosquito vectors. RESULTS: Analysis of 205 human serological samples revealed IgG antibodies against the dengue virus in 85 individuals. No molecular positivity was observed in human samples. Entomological analyses revealed 3,187 Diptera species, with Mansonia being the most frequent genus. Aedes aegypti and Aedes albopictus were not detected in the two collections. CONCLUSIONS: IgG antibodies against the dengue virus were highly prevalent, suggesting previous exposure. The absence of the arbovirus vectors Aedes aegypti and Aedes albopictus in the samples supports the hypothesis that the infections recorded likely occurred outside the riverside communities investigated.

Optimal 2D audio features estimation for a lightweight application in mosquitoes species: Ecoacoustics detection and classification purposes.

Mosquitoes are the vector of diseases that kill more than one million people per year worldwide. Surveillance systems are essential for understanding their complex ecology and behaviour. This is fundamental for predicting disease risk caused by mosquitoes and formulating effective control strategies against mosquito-borne diseases such as malaria, dengue, and Zika. Mosquito populations vary heterogeneously in urban and rural landscapes, fluctuating with seasonal and climatic trends and human activity. Several approaches provide environmental data for mosquito mapping and risk prediction. However, they rely traditionally upon labour-intensive techniques such as manual traps. This paper presents the optimal audio features for mosquito identification using ecoacoustics signals to automatically identify different mosquito species from their wingbeat sounds based on popular audio features. The audio selection method uses Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Silhouette coefficient to evaluate the clusters in the data through the optimal-combined audio features. To classify the mosquito species and distinguish them from environmental-urban noise, the method comprises the Gaussian Mixture Model (GMM) and Gibbs approach for Aedes aegypti, and Culex quinquefasciatus, using the acoustic recordings of their wingbeat signals. Finally, comparing GMM and Gibbs, the two have very similar accuracy, but the classification time is much faster for Gibbs sampling, making it a good candidate for a lightweight solution. These are essential when deploying the described models to monitor mosquito vectors in the wild with Internet of Things (IoT) technologies.

Relação entre temperatura do ar e incidência de dengue: estudo de séries temporais em Minas Gerais, Brasil (2010-2019) / Relationship between air temperature and dengue incidence: time series study in Minas Gerais, Brazil (2010-2019) / Relación entre la temperatura del aire y la incidencia del dengue: estudio de series temporales en Minas Gerais, Brasil (2010-2019)

Resumo A temperatura do ar é um fator climático que afeta a incidência da dengue, com efeitos variando conforme o tempo e o espaço. Investigamos a relação entre a temperatura mínima do ar e a incidência da doença em Minas Gerais, Brasil, e avaliamos a influência de variáveis socioeconômicas e geográficas nessa relação, calculando-se o risco relativo (RR). Este é um estudo de série temporal com análise conduzida em três etapas distintas: modelagem por uso de distributed lag non-linear model (modelos não-lineares distributivos com defasagem), metanálise dos modelos obtidos e metarregressão com dados geográficos e socioeconômicos. A temperatura mínima foi um fator de proteção quando em temperaturas frias extremas (RR = 0,65; IC95%: 0,56-0,76) e moderadas (RR = 0,71; IC95%: 0,64-0,79) e fator de risco em temperaturas de calor moderado (RR = 1,15; IC95%: 1,07-1,24), mas não em extremo (RR = 1,1; IC95%: 0,99-1,22). A heterogeneidade dos modelos foi elevada (I2 = 60%) e essa medida não foi alterada em metarregressão. Temperaturas frias moderadas e extremas causam efeito protetivo, enquanto moderadas quentes aumentam o risco. No entanto, a temperatura mínima do ar não explica nem a variabilidade da região, nem mesmo com as outras variáveis em metarregressão.

Abstract Air temperature is a climatic factor that affects the incidence of dengue, with effects varying according to time and space. We investigated the relationship between minimum air temperature and dengue incidence in Minas Gerais, Brazil, and evaluated the influence of socioeconomic and geographic variables on this relationship. This is a time series study with analysis conducted in three distinct stages: modeling using a distributed lag non-linear model, meta-analysis of models obtained, and meta-regression with geographic and socioeconomic data. Minimum temperature was a protective factor at extreme cold temperatures (RR = 0.65; 95%CI: 0.56-0.76) and moderate cold temperatures (RR = 0.71; 95%CI: 0.64-0.79), and a risk factor at moderate hot temperatures (RR = 1.15; 95%CI: 1.07-1.24), but not at extreme hot temperatures (RR = 1.1; 95%CI: 0.99-1.22). Heterogeneity of the models was high (I2 = 60%), which was also observed in meta-regression. Moderate and extreme cold temperatures have a protective effect, while moderate hot temperatures increase the risk. However, minimum air temperature does not explain the variability in the region, not even with the other variables in meta-regression.

Resumen La temperatura del aire es un factor climático que afecta la incidencia del dengue, con efectos que varían según el tiempo y el territorio. Investigamos la relación entre la temperatura mínima del aire y la incidencia de la enfermedad en Minas Gerais, Brasil, y evaluamos la influencia de variables socioeconómicas y geográficas en esta relación. Se trata de un estudio de serie temporal cuyo análisis se realiza en tres etapas distintas: modelación mediante el uso de distributed lag non-linear model (modelos distributivos no lineales con retraso), metaanálisis de los modelos obtenidos y metarregresión con datos geográficos y socioeconómicos. La temperatura mínima fue un factor de protección ante temperaturas extremadamente frías (RR = 0,65; IC95%: 0,56-0,76) y moderadas (RR = 0,71; IC95%: 0,64-0,79) y factor de riesgo en temperaturas de calor moderado (RR = 1,15; IC95%: 1,07-1,24), pero no en extremo (RR = 1,1; IC95%: 0,99-1,22). La heterogeneidad de los modelos fue alta (I2 = 60%), y esta medida no se modificó en la metarregresión. Las temperaturas frías moderadas y extremas tienen un efecto protector, mientras que las temperaturas moderadamente altas aumentan el riesgo. Sin embargo, la temperatura mínima del aire no explica la variabilidad de la región, ni siquiera con las demás variables en metarregresión.

Occurrence of arbovirus infections in two riverine populations in the municipality of Humaitá, Amazonas, Brazil

ABSTRACT Background: The riverine communities of the Amazon comprise different social groups that inhabit the rural areas on the banks of rivers and lakes. Residents usually travel by river to rural and urban areas and are then exposed to urbanized diseases such as those caused by arbovirus infection. In Brazil, emerging diseases such as dengue, Zika, chikungunya, and those caused by infection with Oropouche and Mayaro viruses necessitate epidemiological surveillance. This study was aimed at determining the frequency of positivity for immunoglobulin (Ig)G and IgM antibodies against Zika, chikungunya, and dengue viruses and performing molecular analyses to detect viral RNA for the Zika, chikungunya, dengue virus, Oropouche, and Mayaro viruses, in the same serum samples obtained from riverside populations. Methods: This cross-sectional study was conducted in a riverside population in the Humaitá municipality of the Brazilian Amazon. More than 80% of the local population participated in this study. Entomological samples were collected to identify local mosquito vectors. Results: Analysis of 205 human serological samples revealed IgG antibodies against the dengue virus in 85 individuals. No molecular positivity was observed in human samples. Entomological analyses revealed 3,187 Diptera species, with Mansonia being the most frequent genus. Aedes aegypti and Aedes albopictus were not detected in the two collections. Conclusions: IgG antibodies against the dengue virus were highly prevalent, suggesting previous exposure. The absence of the arbovirus vectors Aedes aegypti and Aedes albopictus in the samples supports the hypothesis that the infections recorded likely occurred outside the riverside communities investigated.

Effects of air temperature on the risk of death from COPD in major microregions in Brazil: a time series study.

OBJECTIVE: To evaluate the association between the risk of death from COPD and air temperature events in ten major Brazilian microregions. METHODS: This was a time series analysis of daily COPD deaths and daily mean air temperatures between 1996 and 2017. Using distributed nonlinear lag models, we estimated the cumulative relative risks of COPD mortality for four temperature percentiles (representing moderate and extreme cold and heat events) in relation to a minimum mortality temperature, with a lag of 21 days, in each microregion. RESULTS: Significant associations were found between extreme air temperature events and the risk of death from COPD in the southern and southeastern microregions in Brazil. There was an association of extreme cold and an increased mortality risk in the following microregions: 36% (95% CI, 1.12-1.65), in Porto Alegre; 27% (95% CI, 1.03-1.58), in Curitiba; and 34% (95% CI, 1.19-1.52), in São Paulo; whereas moderate cold was associated with an increased risk of 20% (95% CI, 1.01-1.41), 33% (95% CI, 1.09-1.62), and 24% (95% CI, 1.12-1.38) in the same microregions, respectively. There was an increased COPD mortality risk in the São Paulo and Rio de Janeiro microregions: 17% (95% CI, 1.05-1.31) and 12% (95% CI, 1,02-1,23), respectively, due to moderate heat, and 23% (95% CI, 1,09-1,38) and 32% (95% CI, 1,15-1,50) due to extreme heat. CONCLUSIONS: Non-optimal air temperature events were associated with an increased risk of death from COPD in tropical and subtropical areas of Brazil.

Magnetic resonance imaging evaluation of the disc morphology of temporomandibular joint in patients with severe hemophilia.

OBJECTIVES: This study aimed to assess the morphological differences in the articular disc (AD) between hemophilic patients and healthy individuals of the control group for further association with signs and symptoms. METHODS: Fourteen severe hemophilic patients had their AD evaluated by magnetic resonance imaging (MRI). The morphological findings were compared to those of a control group consisting of 14 healthy individuals. MRI was used to evaluate all the components of the temporomandibular (TMJ), including the AD, resulting in sequential T1-weighted parasagittal images. All the images were acquired with teeth in maximum intercuspation position. RESULTS: Morphological alterations showed significant statistical differences (P-value = 0.0068), whereas no statistical differences were found in the other variables, including TMJ pain, headache, bruxism and mouth opening limitation. In the group of non-hemophilic individuals, only two (14.29%) presented AD with non-biconcave features, whereas in the group of hemophilic patients, nine (64.29%) presented AD with a morphology other than biconcave. CONCLUSIONS: In patients with severe hemophilia, there seems to be a pattern of morphological alterations in the articular disc over time. The standard biconcave morphology of AD tends to change into other ones, particularly biplanar, hemiconvex and folded.

Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images.

This study aims to develop an algorithm for the automatic segmentation of the parotid gland on CT images of the head and neck using U-Net architecture and to evaluate the model's performance. In this retrospective study, a total of 30 anonymized CT volumes of the head and neck were sliced into 931 axial images of the parotid glands. Ground truth labeling was performed with the CranioCatch Annotation Tool (CranioCatch, Eskisehir, Turkey) by two oral and maxillofacial radiologists. The images were resized to 512 × 512 and split into training (80%), validation (10%), and testing (10%) subgroups. A deep convolutional neural network model was developed using U-net architecture. The automatic segmentation performance was evaluated in terms of the F1-score, precision, sensitivity, and the Area Under Curve (AUC) statistics. The threshold for a successful segmentation was determined by the intersection of over 50% of the pixels with the ground truth. The F1-score, precision, and sensitivity of the AI model in segmenting the parotid glands in the axial CT slices were found to be 1. The AUC value was 0.96. This study has shown that it is possible to use AI models based on deep learning to automatically segment the parotid gland on axial CT images.

In vivo study of cone beam computed tomography texture analysis of mandibular condyle and its correlation with gender and age.

OBJECTIVE: Texture analysis is an image processing method that aims to assess the distribution of gray-level intensity and spatial organization of the pixels in the image. The purpose of this study was to investigate whether the texture analysis applied to cone beam computed tomography (CBCT) images could detect variation in the condyle trabecular bone of individuals from different age groups and genders. METHODS: The sample consisted of imaging exams from 63 individuals divided into three groups according to age groups of 03-13, 14-24 and 25-34. For texture analysis, the MaZda® software was used to extract the following parameters: second angular momentum, contrast, correlation, sum of squares, inverse difference moment, sum entropy and entropy. Statistical analysis was performed using Mann-Whitney test for gender and Kruskal-Wallis test for age (P = 5%). RESULTS: No statistically significant differences were found between age groups for any of the parameters. Males had lower values for the parameter correlation than those of females (P < 0.05). CONCLUSION: Texture analysis proved to be useful to discriminate mandibular condyle trabecular bone between genders.

Construção de um Dashboard para Análise dos Dados de Câncer na Macrorregião de Saúde do Sudeste de Minas Gerais / Construction of a Dashboard for the Analysis of Cancer Data in the Southeast Health Macroregion of Minas Gerais / Construcción de un Dashboard para el Análisis de Datos de Cáncer en la Macrorregión de Salud del Sudeste de Minas Gerais

Introdução: Dashboards são ferramentas interativas de visualização de dados que simplificam grandes quantidades de informações. No contexto da saúde, eles são utilizados em diversas situações como em dados relativos ao câncer no país, ainda que, normalmente, haja disponibilidade somente para análise de Estados e Capitais. Objetivo: Descrever a construção de um dashboard relacionado ao câncer na Macrorregião de Saúde Sudeste de Minas Gerais (MSSMG). Método: Construção passo a passo de um dashboard com uso de código aberto e sua utilização para análise descritiva de dados relacionados à mortalidade por neoplasias malignas e exames de triagem para o câncer de mama e do colo do útero na MSSMG entre os anos de 2010-2019. Resultados: Foi produzido um dashboard com dados oficiais sobre a mortalidade por câncer, cobertura de exames preventivos e variáveis socioeconômicas, que permite uma análise extensa sobre o tema na Região. Com o uso dessa ferramenta, verificou-se que a mortalidade por câncer entre homens é elevada e o câncer de pulmão foi a principal causa de morte. Ainda foi possível analisar visualmente a distribuição espacial da taxa de mortalidade padronizada e da cobertura média do período dos exames de citologia do colo do útero e da mamografia. Conclusão: Criação de um dashboard abrangente sobre câncer na MSSMG e compartilhamento dos resultados obtidos. O painel demonstrou versatilidade ao simplificar processos estatísticos e visualizações, facilitando a formulação de ideias, hipóteses, e oferecendo informações claras e intuitivas

Introduction: Dashboards are interactive data visualization tools that simplify large amounts of information. In the context of health, they are used in different settings, such as cancer related data in the country, although, usually, only analyzes of States and Capitals are available. Objective: Describe the construction of a cancer-related dashboard in the Southeast Health Macroregion of Minas Gerais (MSSMG). Method:Step-by-step study of the construction of an open-source code dashboard and its utilization for descriptive analysis of data related to mortality by malignant neoplasms and breast and cervical cancer screening in MSSMG between 2010 and 2019. Results: A dashboard was produced with official data on cancer mortality, coverage of preventive exams and socioeconomic assessment, which allows an extensive analysis for the region. Higher mortality by cancer in men was found with the utilization of this tool, and that lung cancer was the main cause of death. It was also possible to visually analyze the spatial distribution of the standardized mortality rate and the mean coverage of cervical cytology and mammography exams in the period. Conclusion: Creation of a comprehensive dashboard on cancer at MSSMG and sharing the results. The panel has been shown to be versatile by simplifying statistical processes and visualization, facilitating the formulation of ideas, possibilities and offering clear and intuitive information

Introducción: Dashboards son herramientas interactivas de visualización de datos que simplifican grandes cantidades de información. En el ámbito de la salud, se utilizan en diferentes contextos, como datos relacionados con el cáncer en el país, aunque, normalmente, solo se dispone de análisis de Estados y Capitales. Objetivo: Exponer la construcción de un panel de control relacionado con el cáncer en la Macrorregión de salud del Sudeste de Minas Gerais (MSSMG). Método: Construcción paso a paso de un dashboard usando código abierto y el uso de esta herramienta para el análisis descriptivo de datos relacionados con la mortalidad por neoplasias malignas y los exámenes de detección de cáncer de mama y cuello uterino en la MSSMG entre los años 2010-2019. Resultados: Se elaboró un dashboard con datos oficiales de mortalidad por cáncer, cobertura de exámenes preventivos y evaluaciones socioeconómicas, que permite un análisis amplio sobre el tema en la región. Con el uso de esta herramienta se percibió que existe una mayor mortalidad por cáncer entre los hombres y que el cáncer de pulmón fue la principal causa de muerte. También fue posible analizar visualmente la distribución espacial de la tasa de mortalidad estandarizada y la cobertura media del período de los exámenes de citología cervical y mamografía. Conclusión: Creación de un dashboard integral sobre cáncer en la MSSMG y intercambio de los resultados obtenidos. El panel demostró versatilidad al simplificar procesos estadísticos y visualizaciones, facilitando la formulación de ideas, posibilidades y ofreciendo información clara e intuitiva.Palabras clave: epidemiología; neoplasias; análisis espacial; salud pública; registros de mortalidad

Effects of air temperature on the risk of death from COPD in major microregions in Brazil: a time series study / Efeitos da temperatura do ar no risco de morte por DPOC nas principais microrregiões do Brasil: um estudo de séries temporais

ABSTRACT Objective: To evaluate the association between the risk of death from COPD and air temperature events in ten major Brazilian microregions. Methods: This was a time series analysis of daily COPD deaths and daily mean air temperatures between 1996 and 2017. Using distributed nonlinear lag models, we estimated the cumulative relative risks of COPD mortality for four temperature percentiles (representing moderate and extreme cold and heat events) in relation to a minimum mortality temperature, with a lag of 21 days, in each microregion. Results: Significant associations were found between extreme air temperature events and the risk of death from COPD in the southern and southeastern microregions in Brazil. There was an association of extreme cold and an increased mortality risk in the following microregions: 36% (95% CI, 1.12-1.65), in Porto Alegre; 27% (95% CI, 1.03-1.58), in Curitiba; and 34% (95% CI, 1.19-1.52), in São Paulo; whereas moderate cold was associated with an increased risk of 20% (95% CI, 1.01-1.41), 33% (95% CI, 1.09-1.62), and 24% (95% CI, 1.12-1.38) in the same microregions, respectively. There was an increased COPD mortality risk in the São Paulo and Rio de Janeiro microregions: 17% (95% CI, 1.05-1.31) and 12% (95% CI, 1,02-1,23), respectively, due to moderate heat, and 23% (95% CI, 1,09-1,38) and 32% (95% CI, 1,15-1,50) due to extreme heat. Conclusions: Non-optimal air temperature events were associated with an increased risk of death from COPD in tropical and subtropical areas of Brazil.

RESUMO Objetivo: Avaliar a associação entre o risco de morte por DPOC e eventos de temperatura do ar em dez grandes microrregiões brasileiras. Métodos: Esta foi uma análise de série temporal de mortes diárias por DPOC e temperaturas médias diárias do ar entre 1996 e 2017. Utilizando modelos de defasagem não linear distribuídos, estimamos os riscos relativos cumulativos de mortalidade por DPOC para quatro percentis de temperatura (representando eventos moderados e extremos de frio e calor) em relação a uma temperatura mínima de mortalidade, com defasagem de 21 dias, em cada microrregião. Resultados: Foram encontradas associações significativas entre eventos extremos de temperatura do ar e o risco de morte por DPOC nas microrregiões Sul e Sudeste do Brasil. Houve associação de frio extremo e aumento do risco de mortalidade nas seguintes microrregiões: 36% (IC 95%, 1,12-1,65), em Porto Alegre; 27% (IC 95%, 1,03-1,58), em Curitiba; e 34% (IC 95%, 1,19-1,52), em São Paulo; enquanto o frio moderado foi associado a um risco aumentado de 20% (IC 95%, 1,01-1,41), 33% (IC 95%, 1,09-1,62) e 24% (IC 95%, 1,12-1,38) nas mesmas microrregiões, respectivamente. Houve aumento do risco de mortalidade por DPOC nas microrregiões de São Paulo e Rio de Janeiro: 17% (IC 95%, 1,05-1,31) e 12% (IC 95%, 1,02-1,23), respectivamente, devido ao calor moderado e 23% (IC 95%, 1,09-1,38) e 32% (IC 95%, 1,15-1,50) devido ao calor extremo. Conclusões: Eventos de temperatura do ar não ideal foram associados a um risco aumentado de morte por DPOC em áreas tropicais e subtropicais do Brasil.

Psychosis and Bilateral Peripheral Facial Palsy Associated With COVID-19.

Neuropsychiatric disorders associated with coronavirus infections emerged with the coronavirus disease 2019 (COVID-19) pandemic. We describe the clinical, laboratory and radiological features of a patient who presented, after recent COVID-19, two rare neuropsychiatric manifestations: a brief psychotic break followed by severe bilateral peripheral facial palsy.

Three-Dimensional Volumetric Analysis of Frontal Ethmoidal Cells and Evaluation of Influential Factors: A Helical Computed Tomography Study.

In the present study, we aimed to assess frontal ethmoidal cells by using segmentation 3D software to establish a possible correlation between volume variation and both gender and age, as well as a relationship with Keros classification. Helical computed tomography images were obtained from 71 patients for analysis, in which the agger nasi cell, supra agger cell, supra agger frontal cell, supra bulla frontal cell, supraorbital ethmoidal cell, supra bulla cell, and frontal septal cell were identified and segmented to obtain their volume. Significant differences in volume were found for age and gender regarding agger nasi cells (p-value = 0.017), supra agger cells (p-value < 0.001), and frontal septal cells (p-value = 0.049). In the frontal septal cells, an increase of one year in age reduced the volume by 0.309, on average. According to Keros classification, the mean volumes were 10.07 and 25.64, respectively, for types II and III, both being greater than that of type I. Extracting volumetric data by using segmentation software in agger nasi cells, supra agger cells, and frontal septal cells may be useful for obtaining additional information related to age, in addition to possibly contributing to elucidating the anatomical variations in the region and an identification forensic tool.

Free three-dimensional image software in local extension assessment of oral squamous cell carcinoma: a pilot study

Abstract Objective: Oral Squamous Cell Carcinoma (OSCC) is conventionally treated by surgical resection, and positive surgical margins strongly increase local recurrence and decrease survival. This study aimed to evaluate whether a Three-Dimensional Segmentation (3DS) image of OSCC confers advantage over Multiplanar Reconstruction (MPR) of OSCC using images of computed tomography scan in surgical planning of tumor resection. Methods: Twenty-six patients with locally advanced OSCC had tumor morphology and dimensions evaluated by MPR images, 3DS images, and Surgical Pathology Specimen (SPS) analyses (gold standard). OSCC resection was performed with curative intent using only MPR images. Results: OSCC morphology was more accurately assessed by 3DS than by MPR images. Similar OSCC volumes and dimensions were obtained when MPR images, 3DS images and SPS measurements were considered. Nevertheless, there was a strong correlation between the OSCC longest axis measured by 3DS and SPS analyses (ICC = 0.82; 95% CI 0.59-0.92), whereas only a moderate correlation was observed between the longest axis of OSCC measured by MPR images and SPS analyses (ICC = 0.51; 95% CI 0.09-0.78). Taking only SPS with positive margins into account, MPR images and 3DS images underestimated the tumor's longest axis in eight out of 11 (72.7%) and 5 out of the 11 (45.5%) cases, respectively. Conclusion: Our data present preliminary evidence that 3DS model represents a useful tool for surgical planning of OSCC resection, but confirmation in a larger cohort of patients is required. Level of evidence: Laboratory study.

Magnetic resonance imaging texture analysis to differentiate ameloblastoma from odontogenic keratocyst.

The differentiation between ameloblastoma (AB) and odontogenic keratocyst (OKC) is essential for the formulation of the surgical plan, especially considering the biological behavior of these two pathological entities. Therefore, developing means to increase the accuracy of the diagnostic process is extremely important for a safe treatment. The aim of this study was to use magnetic resonance imaging (MRI) based on texture analysis (TA) as an aid in differentiating AB from OKC. This study comprised 18 patients; eight patients with AB and ten with OKC. All diagnoses were determined through incisional biopsy and later through histological examination of the surgical specimen. MRI was performed using a 3 T scanner with a neurovascular coil according to a specific protocol. All images were exported to segmentation software in which the volume of interest (VOI) was determined by a radiologist, who was blind to the histopathological results. Next, the textural parameters were computed by using the MATLAB software. Spearman's correlation coefficient was used to assess the correlation between texture parameters and the selected variables. Differences in TA parameters were compared between AB and OKC by using the Mann-Whitney test. Mann-Whitney test showed a statistically significant difference between AB and OKC for the parameters entropy (P = 0.033) and sum average (P = 0.033). MRI texture analysis has the potential to discriminate between AB and OKC as a noninvasive method. MRI texture analysis can be an additional tool to differentiate ameloblastoma from odontogenic keratocyst.

Free three-dimensional image software in local extension assessment of oral squamous cell carcinoma: a pilot study.

OBJECTIVE: Oral Squamous Cell Carcinoma (OSCC) is conventionally treated by surgical resection, and positive surgical margins strongly increase local recurrence and decrease survival. This study aimed to evaluate whether a Three-Dimensional Segmentation (3DS) image of OSCC confers advantage over Multiplanar Reconstruction (MPR) of OSCC using images of computed tomography scan in surgical planning of tumor resection. METHODS: Twenty-six patients with locally advanced OSCC had tumor morphology and dimensions evaluated by MPR images, 3DS images, and Surgical Pathology Specimen (SPS) analyses (gold standard). OSCC resection was performed with curative intent using only MPR images. RESULTS: OSCC morphology was more accurately assessed by 3DS than by MPR images. Similar OSCC volumes and dimensions were obtained when MPR images, 3DS images and SPS measurements were considered. Nevertheless, there was a strong correlation between the OSCC longest axis measured by 3DS and SPS analyses (ICC = 0.82; 95% CI 0.59‒0.92), whereas only a moderate correlation was observed between the longest axis of OSCC measured by MPR images and SPS analyses (ICC = 0.51; 95% CI 0.09‒0.78). Taking only SPS with positive margins into account, MPR images and 3DS images underestimated the tumor's longest axis in eight out of 11 (72.7%) and 5 out of the 11 (45.5%) cases, respectively. CONCLUSION: Our data present preliminary evidence that 3DS model represents a useful tool for surgical planning of OSCC resection, but confirmation in a larger cohort of patients is required. LEVEL OF EVIDENCE: Laboratory study.

Virtual screening of molecular databases for potential inhibitors of the NSP16/NSP10 methyltransferase from SARS-CoV-2.

COVID-19 is a disease caused by the SARS-CoV-2 virus and represents one of the greatest health problems that humanity faces at the moment. Therefore, efforts have been made with the objective of seeking therapies that could be effective in combating this problematic. In the search for ligands, computational chemistry plays an essential role, since it allows the screening of thousands of molecules on a given target, in order to save time and money for the in vitro or in vivo pharmacological stage. In this paper, we perform a virtual screening by docking looking for potential inhibitors of the NSP16-NSP10 protein dimer (methyltransferase) from SARS-CoV-2, by evaluating a homemade databank of molecules found in plants of the Caatinga Brazilian biome, compounds from ZINC online molecular database, as well as structural analogues of the enzymatic cofactor s-adenosylmethionine (SAM) and a known inhibitor in the literature, sinefungin (SFG), provided at PubChem database. All the evaluated sets presented molecules that deserve attention, highlighting four compounds from ZINC as the most promising ligands. These results contribute to the discovery of new molecular hits, in the search of potential agents against SARS-CoV-2 virus, still unveiling a pathway that can be used in combined therapies.

Avaliação da articulação temporomandibular em indivíduos com hemofilia grave: caracterização clínica e aplicação da relaxometria T2 em imagens de ressonância magnética / Evaluation of the temporomandibular joint in individuals with severe hemophilia: clinical characterization and application of T2 relaxometry in magnetic resonance images

A hemofilia é uma doença hemorrágica hereditária ligada ao cromossomo X, decorrente da ausência ou da baixa quantidade no plasma dos fatores de coagulação VIII (hemofilia A) ou IX (hemofilia B). Clinicamente, a hemofilia se caracteriza por episódios recorrentes de sangramentos, que podem ocorrer espontaneamente ou em decorrência de traumas. O sistema músculo-esquelético é freqüentemente afetado pelos eventos hemorrágicos nos indivíduos portadores de hemofilia. Dentro desse sistema, as articulações são alvos de episódios recorrentes de sangramentos, resultando no fenômeno a que chamamos de hemartrose, responsável por estimular a hiperplasia da membrana sinovial articular e caracterizando o quadro das sinovites hemofílicas. O ciclo vicioso típico de hemartrose-sinovite-hemartrose quando estabelecido, tem como consequência a cronificação das alterações agudas articulares. Histologicamente, na sinovite, é observada a proliferação de fibroblastos sinoviais e a presença de um infiltrado de células inflamatórias. Apesar de a articulação temporomandibular (ATM) ser uma articulação do tipo sinovial, são poucos os relatos sobre o seu envolvimento na hemartrose e na sinovite hemofílica. Em razão disso, o objetivo deste estudo foi o de avaliar a ATM por meio de imagens de ressonância magnética (RM) utilizando-se a técnica denominada relaxometria. A relaxometria, também chamada de mapeamento T2, consiste em calcular as variações na intensidade do sinal de radiofrequência (RF) emitido pelos prótons das moléculas de água em função da variação do tempo quando excitados por um pulso externo de RF e submetidos à influência de um campo magnético estático. Esta mensuração é possível de ser realizada por meio da chamada sequência multieco de spin. A literatura científica descreve que a concentração de ferro nos tecidos resulta em encurtamento do tempo T2 e em consequente diminuição da intensidade de sinal das amostras biológicas. Desta forma, a relaxometria realizada com o objetivo de quantificar a concentração de ferro pode servir como uma forma de se estudar as propriedades intrínsecas dos tecidos e o ambiente molecular das estruturas analisadas. Foram selecionados pacientes maiores de 18 anos de idade, comprovadamente portadores de hemofilia A ou B classificadas como grave e que tiveram seguimento regular ambulatorial. O grupo controle foi pareado por idade e sexo com os pacientes, sendo representado por voluntários sem histórico de discrasia sanguínea ou disfunção temporomandibular (DTM). Foram avaliados 39 indivíduos (18 pacientes e 21 controles). Os critérios de exclusão foram: pacientes portadores de próteses metálicas, marca-passo cardíaco, clipes metálicos intracranianos (para aneurisma), claustrofobia severa e não consentimento à participação no estudo. Este estudo observou que a morfologia dos discos articulares se altera com o passar do tempo em indivíduos portadores de hemofilia grave (p-valor = 0,006), entretanto, nenhuma diferença estatística foi observada no que diz respeito à intensidade de sinal calculada em 4 momentos distintos (p-valor > 0,05), sugerindo não haver uma concentração maior de ferro no interior do disco articular na amostra estudada, nem entre os grupos e nem na transição entre os momentos avaliados. Também não foi observada diferença estatística (p-valor > 0,05) no que diz respeito aos sintomas relatados (sintomatologia dolorosa, cefaleia e alteração no movimento de abertura bucal e lateralidade da mandíbula) entre indivíduos portadores de hemofilia e indivíduos do grupo controle, sugerindo que a ATM possui uma forte capacidade de adaptação em comparação com as demais articulações do tipo sinovial diante dos efeitos provocados pela degradação da cartilagem articular.

Eccentric movements of temporomandibular joint and upper airway volume: Three-dimensional segmentation using cone beam computed tomography.

Objective: The purpose of the present investigation was to assess whether possible changes in the dynamic movements of the TMJ might cause a greater variation between the volumes of the upper airways in open- and closed-mouth positions.Methods: CBCT scans of 92 subjects were used to assess the TMJ bilaterally. All scans were acquired in closed (CM) and maximum mouth opening (MMO) positions. The difference in the volume of the oropharyngeal cavity obtained by subtracting the CM volume from the MMO volume (delta volume or volume variation) was calculated. The resulting volume was analyzed by Mann-Whitney test for variation in rotation.Results: A significant difference was found (p-value = 0.0188) on the right side regarding changes in the rotational movement of the condyle (Mann-Whitney test).Conclusion: This study showed a relationship between degree of abnormal or limited rotation and variation in the upper airway volume on one side.

Health-Related Quality of Life Outcomes in Head and Neck Cancer: Results From a Prospective, Real-World Data Study With Brazilian Patients Treated With Intensity Modulated Radiation Therapy, Conformal and Conventional Radiation Techniques.

PURPOSE: To compare global health-related quality of life (HRQoL) and overall survival (OS) in patients with head and neck cancer treated with intensity modulated radiation therapy (IMRT), conformal radiation therapy (3DCRT) or conventional radiation therapy (2DRT). METHODS AND MATERIALS: In this real-world, multi-institutional and prospective study, HRQoL outcomes were assessed using the European Organisation for Research and Treatment of Cancer Quality-of-life Questionnaire Core 30 (EORTC QLQ-C30) and European Organisation for Research and Treatment of Cancer Quality-of-life Questionnaire Head and Neck 43 (H&N43) questionnaires. Item response theory was used to generate a global HRQoL score, based on the 71 questions from both forms. The effect of treatment modality on HRQoL was studied using multivariate regression analyses. Survival was estimated using the Kaplan-Meyer method, and groups were compared by the log-rank test. RESULTS: Five hundred and seventy patients from 13 institutions were included. Median follow-up was 12.2 months. Concerning the radiation technique, 29.5% of the patients were treated with 2DRT, 43.7% received 3DCRT, and 26.8% were treated with IMRT. A higher proportion of patients receiving 2DRT had a treatment interruption of more than 5 days (69% vs 50.2% for 3DCRT and 42.5% for IMRT). IMRT had a statistically significant positive effect on HRQoL compared with 3DCRT (ß= 2.627, standard error = 0.804, P = .001) and 2DRT had a statistically significant negative effect compared with 3DCRT (ß= -5.075, standard error = 0.926, P < .001). Patients receiving 2DRT presented a worse OS (P = .01). There were no differences in OS when IMRT was compared with 3DCRT. CONCLUSIONS: IMRT provided better HRQoL than 3DCRT, which provided better HRQoL than 2DRT. Patients receiving 2DRT presented a worse OS, which might be related to more frequent treatment interruptions.