Percepção e satisfação corporal de estudantes universitários vegetarianos / Perception and body satisfaction of vegetarian students / Percepción y satisfacción corporal de los estudiantes vegetarianos

INTRODUÇÃO: A percepção e satisfação corporal têm sido amplamente estudadas em diversos públicos, principalmente em estudantes universitários; porém, existem poucas investigações com vegetarianos, sendo assim, torna-se necessário avaliar se o padrão alimentar vegetariano está relacionado com os fenômenos inerentes à imagem corporal. OBJETIVO: Avaliar a percepção e a satisfação corporal entre estudantes universitários vegetarianos. MÉTODO: Trata-se de um estudo transversal com 123 participantes, no qual foram aplicados o Questionário de Imagem Corporal - BSQ (Body Shape Questionnaire) e a Escala de Silhuetas de Stunkard. RESULTADOS: Os dados mostraram que 86,2% dos participantes eram eutróficos (IMC=22,4±3,3), sendo o score obtido no BSQ foi de 84,6 pontos (±36,0) correspondente à leve insatisfação com a imagem corporal. Cerca de 82,1% dos estudantes se mostravam insatisfeitos com a silhueta, dentre estes, 61,4% desejavam diminuí-la. CONCLUSÃO: O padrão alimentar (ovolactovegetariano, lactovegetariano, vegetariano estrito e vegano) não se relacionou com a insatisfação corporal, mas sim o desejo de ter silhuetas magras que são valorizadas pelo padrão de beleza vigente.

INTRODUCTION: For Body perception and satisfaction have been widely studied among different publics, especially among college students; however, there are few investigations with vegetarians. Therefore, it is necessary to evaluate whether the vegetarian eating pattern is related to the phenomena inherent to body image. OBJECTIVE: To evaluate body perception and body satisfaction among vegetarian college students. METHOD: This is a cross-sectional study with 123 participants, in which the Body Image Questionnaire (BSQ) and the Stunkard Silhouette Scale were applied. RESULTS: The data showed that 86.2% of the participants were eutrophic (BMI=22.4±3.3), and the score obtained in the BSQ was 84.6 points (±36.0) corresponding to a mild dissatisfaction with body image. About 82.1% of the students were dissatisfied with their silhouette, and 61.4% of them wanted to reduce it. CONCLUSION: Dietary patterns (ovolactovegetarian, lactovegetarian, strict vegetarian, and vegan) were not related to body dissatisfaction, but rather the desire to have thin silhouettes that are valued by the prevailing beauty standard.

INTRODUCCIÓN: La percepción y satisfacción corporal han sido ampliamente estudiadas entre diferentes públicos, especialmente entre estudiantes universitarios; sin embargo, existen pocos estudios sobre vegetarianos, por lo que es necesario evaluar si el patrón alimentario vegetariano está relacionado con los fenómenos inherentes a la imagen corporal. OBJETIVO: Evaluar la percepción corporal y la satisfacción corporal entre estudiantes universitarios vegetarianos. MÉTODO: Se trata de un estudio transversal con 123 participantes, en el que se aplicaron el Cuestionario de Imagen Corporal - BSQ (Body Shape Questionnaire) y la Escala de Siluetas de Stunkard. RESULTADOS: Los datos mostraron que el 86,2% de los participantes eran eutróficos (IMC=22,4±3,3), y la puntuación obtenida en el BSQ fue de 84,6 puntos (±36,0) correspondiente a una insatisfacción leve con la imagen corporal. Alrededor del 82,1% de los estudiantes estaban insatisfechos con su silueta, entre ellos, el 61,4% deseaba reducirla. CONCLUSIÓN: El patrón alimentario (ovolactovegetariano, lactovegetariano, vegetariano estricto y vegano) no estaba relacionado con la insatisfacción corporal, sino con el deseo de tener siluetas delgadas que son valoradas por el estándar de belleza vigente.

Digital analysis of unilateral ptosis repair: external levator advancement vs. Müller's muscle conjunctival resection

ABSTRACT Purpose: Evaluation of lid contour and marginal peak point changes to compare outcomes of external levator advancement and Müller's muscle conjunctival resection surgery in unilateral ptosis. Methods: We reviewed the charts of unilateral ptosis patients who underwent external levator advancement or Müller's muscle conjunctival resection. Eyelid contour analysis was conducted on preoperative and 6-month postoperative digital images. This was performed with the multiple margin reflex distances technique, measuring the vertical distance from a line intersecting the center of the pupil to the eyelid margin at 10 positions at 2 mm intervals. The marginal peak point changes were analyzed digitally using the coordinates of the peak point according to the pupil center. Each position's mean distance was compared preoperatively, postoperatively, and with the fellow eyelid. Results: Sixteen patients underwent external levator advancement and 16 patients had Müller's muscle conjunctival resection. The mean margin reflex distance was improved by both techniques (1.46 vs. 2.43 mm and 1.12 vs. 2.25 mm, p=0.008 and p=0.0001 respectively) and approached that of the fellow eyelid (2.43 vs. 2.88 and 2.25 vs. 2.58 mm, p=0.23 and p=0.19, respectively). However, statistically significant lid margin elevation was limited to between the N6 and T6 points in the external levator advancement group. Whereas, significant elevation was achieved along the whole lid margin in the Müller's muscle conjunctival resection group. The marginal peak point was shifted slightly laterally in the external levator advancement group (p=0.11). Conclusions: Both techniques provide effective lid elevation, however, the external levator advancement's effect lessens toward the canthi while Müller's muscle conjunctival resection provides more uniform elevation across the lid margin. The margin reflex distance alone is not sufficient to reflect contour changes.

Caracterização dos estágios iniciais do câncer colorretal utilizando microscopia de autofluorescência 3D: um estudo preliminar / Early stages of colorectal cancer characterization by autofluorescence 3d microscopy: a preliminary study

ABSTRACT Background: Colorectal cancer is one of the most prevalent pathologies worldwide whose prognosis is linked to early detection. Colonoscopy is the gold standard for screening, and diagnosis is usually made histologically from biopsies. Aiming to reduce the inspection and diagnostic time as well as the biopsies and resources involved, other techniques are being promoted to conduct accurate in vivo colonoscopy assessments. Optical biopsy aims to detect normal and neoplastic tissues analysing the autofluorescence spectrum based on the changes in the distribution and concentration of autofluorescent molecules caused by colorectal cancer. Therefore, the autofluorescence contribution analysed by image processing techniques could be an approach to a faster characterization of the target tissue. Objective: Quantify intensity parameters through digital processing of two data sets of three-dimensional widefield autofluorescence microscopy images, acquired by fresh colon tissue samples from a colorectal cancer murine model. Additionally, analyse the autofluorescence data to provide a characterization over a volume of approximately 50 µm of the colon mucosa for each image, at second (2nd), fourth (4th) and eighth (8th) weeks after colorectal cancer induction. Methods: Development of a colorectal cancer murine model using azoxymethane/dextran sodium sulphate induction, and data sets acquisition of Z-stack images by widefield autofluorescence microscopy, from control and colorectal cancer induced animals. Pre-processing steps of intensity value adjustments followed by quantification and characterization procedures using image processing workflow automation by Fiji's macros, and statistical data analysis. Results: The effectiveness of the colorectal cancer induction model was corroborated by a histological assessment to correlate and validate the link between histological and autofluorescence changes. The image digital processing methodology proposed was then performed on the three-dimensional images from control mice and from the 2nd, 4th, and 8th weeks after colorectal cancer chemical induction, for each data set. Statistical analyses found significant differences in the mean, standard deviation, and minimum parameters between control samples and those of the 2nd week after induction with respect to the 4th week of the first experimental study. This suggests that the characteristics of colorectal cancer can be detected after the 2nd week post-induction. Conclusion: The use of autofluorescence still exhibits levels of variability that prevent greater systematization of the data obtained during the progression of colorectal cancer. However, these preliminary outcomes could be considered an approach to the three-dimensional characterization of the autofluorescence of colorectal tissue, describing the autofluorescence features of samples coming from dysplasia to colorectal cancer.

RESUMO Contexto: O câncer colorretal é uma das patologias mais prevalentes em todo o mundo, cujo prognóstico está ligado à detecção precoce. A colonoscopia é o padrão ouro para triagem, e o diagnóstico geralmente é feito histologicamente a partir de biópsias. Visando reduzir o tempo de inspeção e diagnóstico, bem como as biópsias e recursos envolvidos, outras técnicas estão sendo promovidas para realizar avaliações precisas de colonoscopia in vivo. A biópsia óptica visa detectar tecidos normais e neoplásicos analisando o espectro de autofluorescência com base nas mudanças na distribuição e concentração de moléculas autofluorescentes causadas pelo câncer colorretal. Portanto, a contribuição da autofluorescência analisada por técnicas de processamento de imagem poderia ser uma abordagem para uma caracterização mais rápida do tecido-alvo. Objetivo: Quantificar parâmetros de intensidade por meio do processamento digital de dois conjuntos de dados de imagens de microscopia de autofluorescência em campo amplo tridimensionais, adquiridas por amostras de tecido fresco de cólon de um modelo murino de câncer colorretal. Adicionalmente, analisar os dados de autofluorescência para fornecer uma caracterização em um volume de aproximadamente 50 µm da mucosa do cólon para cada imagem, na segunda (2ª), quarta (4ª) e oitava (8ª) semanas após a indução do câncer colorretal. Método: Desenvolvimento de um modelo murino de câncer colorretal usando indução de azoximetano/sulfato de sódio dextrano, e aquisição de conjuntos de dados de imagens Z-stack por microscopia de autofluorescência em campo amplo, de animais controle e induzidos ao câncer colorretal. Etapas de pré-processamento de ajustes de valores de intensidade seguidas por procedimentos de quantificação e caracterização usando automação de fluxo de trabalho de processamento de imagem por macros do Fiji, e análise estatística de dados. Resultados: A eficácia do modelo de indução de câncer colorretal foi corroborada por uma avaliação histológica para correlacionar e validar a ligação entre as mudanças histológicas e de autofluorescência. A metodologia de processamento digital de imagem proposta foi então realizada nas imagens tridimensionais de camundongos controle e das 2ª, 4ª e 8ª semanas após a indução química do câncer colorretal, para cada conjunto de dados. Análises estatísticas encontraram diferenças significativas nos parâmetros médios, desvio padrão e mínimos entre amostras de controle e aquelas da 2ª semana após a indução em relação à 4ª semana do primeiro estudo experimental. Isso sugere que as características do câncer colorretal podem ser detectadas após a 2ª semana pós-indução. Conclusão: O uso de autofluorescência ainda apresenta níveis de variabilidade que impedem uma maior sistematização dos dados obtidos durante a progressão do câncer colorretal. No entanto, esses resultados preliminares podem ser considerados uma abordagem para a caracterização tridimensional da autofluorescência do tecido colorretal, descrevendo as características de autofluorescência de amostras que vão da displasia ao câncer colorretal.

Percepção de imagem corporal, características socioeconômicas e estilo de vida em mulheres participantes do ELSA-Brasil na Bahia, Brasil / Body image perception, socioeconomic characteristics, and lifestyle in women participating in ELSA-Brasil in Bahia, Brazil / Percepción de la imagen corporal, características socioeconómicas y estilo de vida en mujeres participantes del ELSA-Brasil en Bahía, Brasil

Distorção da imagem corporal é uma alteração da percepção do corpo que pode repercutir na saúde. Este estudo visa estimar, entre mulheres participantes do Estudo Longitudinal de Saúde do Adulto (ELSA-Brasil) residentes na Bahia, Brasil, a prevalência de acurácia e distorção da imagem corporal e investigar associações com características socioeconômicas, estilo de vida e procura de cuidados ginecológicos. Participaram 609 mulheres de 50-69 anos de idade que responderam, entre 2012-2014, questionários aplicados face a face. Foi utilizada a escala de silhuetas de Stunkard para investigar a percepção acurada ou distorcida para mais ou menos peso. A razão de risco relativo (RR) foi calculada por meio de regressão logística multinomial por meio do Stata 13. A maioria das participantes tem perspectiva acurada do próprio corpo (53,7%). Entre aquelas com percepção distorcida, há uma tendência à distorção para menos peso (38,1%). Na análise de regressão multinomial, permaneceram associadas à distorção para menos peso as variáveis raça/cor e escolaridade, sendo que a primeira foi positivamente associada à distorção para menos peso entre as pardas (RR = 1,89; IC95%: 1,13-3,16) e pretas (RR = 2,10; IC95%: 1,25-3,55), enquanto a segunda entre aquelas com escolaridade até o Ensino Médio (RR = 1,65; IC95%: 1,18-2,33). Não houve associações quanto às demais variáveis, nem com distorção para mais peso. Os resultados contribuem para a explicação das relações entre percepção da imagem corporal e fatores socioeconômicos, revelando que mulheres de raça/cor diferentes e variados níveis de escolaridade são influenciadas de formas distintas pelos discursos sociais, o que impacta a percepção da sua imagem corporal.

Body image distortion is an alteration in the perception of the body that can have repercussions on health. This study aims to estimate the prevalence of body image accuracy and distortion among women participating in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) living in Bahia State, Brazil, and to investigate associations with socioeconomic characteristics, lifestyle, and gynecological care seeking. A total of 609 women aged 50 to 69 years participated in the study, who answered face-to-face questionnaires from 2012 to 2014. The Stunkard silhouette scale was used to investigate accurate or distorted perception for more or less weight. The relative risk ratio (RR) was calculated by multinomial logistic regression using Stata 13. Most participants have an accurate perception of their own bodies (53.7%). Among those with distorted perception, there is a tendency to distort towards less weight (38.1%). In the multinomial regression analysis, the variables race/skin color and education remained associated with the distortion towards underweight. The race/skin color variable was positively associated with the distortion towards underweight among Mixed-race women (RR = 1.89; 95%CI: 1.13-3.16) and black (RR = 2.10; 95%CI: 1.25-3.55), while the education variable among those with up to high school education (RR = 1.65; 95%CI: 1.18-2.33). There were no associations with the other variables or with distortion for more weight. The results contribute to explaining the relationships between body image perception and socioeconomic factors, revealing that women of different races/skin colors and varying educational levels are influenced in different ways by social discourses, impacting the perception of their body image.

La distorsión de la imagen corporal es una alteración en la percepción del cuerpo que puede repercutir en la salud. Este estudio busca estimar, entre las mujeres participantes del Estudio Longitudinal de Salud del Adulto (ELSA-Brasil) que viven en Bahía, Brasil, la prevalencia de precisión y distorsión de la imagen corporal e investigar asociaciones con las características socioeconómicas, el estilo de vida y la busca de atención ginecológica. Participaron 609 mujeres que tenían entre 50 y 69 años que contestaron los cuestionarios aplicados cara a cara entre 2012 y 2014. Se utilizó la escala de siluetas de Stunkard para investigar la percepción precisa o distorsionada para más o menos peso. El cociente de riesgo relativo (RR) se calculó a través de regresión logística multinomial utilizando el Stata 13. La mayoría de los participantes tiene una perspectiva precisa del propio cuerpo (53,7%). Entre las personas con percepción distorsionada hay una tendencia a la distorsión para menos peso (38,1%). En el análisis de regresión multinomial, las variables raza/color y escolaridad permanecieron asociadas con la distorsión para menos peso, siendo la primera positivamente asociada con la distorsión para menos peso entre las mujeres pardas (RR = 1,89; IC95%: 1,13-3,16) y negras (RR = 2,10; IC95%: 1,25-3,55), mientras la segunda entre las mujeres que estudiaron hasta la enseñanza secundaria (RR = 1,65; IC95%: 1,18-2,33). No hubo asociaciones con las otras variables ni con la distorsión para más peso. Los resultados contribuyen para explicar las relaciones entre la percepción de la imagen corporal y los factores socioeconómicos, demostrando que mujeres de diferentes razas/colores y diferentes niveles de educación se influyen de distintas formas a través de discursos sociales, lo que impacta en la percepción de su imagen corporal.

Evaluation of cardiac contractility of fetuses from pregestational diabetes mellitus pregnancies by three-dimensional ultrasound

SUMMARY OBJECTIVE: This study aimed to evaluate cardiac contractility in fetuses from pregestational diabetes mellitus pregnancies by three-dimensional ultrasound using spatiotemporal image correlation in rendering mode. METHODS: A retrospective cross-sectional study was performed on 40 fetuses from nondiabetic pregnancies and 28 pregestational diabetic pregnancies between 20 and 33 weeks and 6 days. Cardiac contractility was assessed by measuring the ventricular myocardial area in diastole subtracted from the ventricular myocardial area in systole. RESULTS: Pregestational diabetic pregnancies had a lower maternal age than nondiabetic pregnancies (26.7 vs. 39.9 years, p=0.019). Cardiac contractility in fetuses from diabetic and nondiabetic pregnancies was similar (p=0.293). A moderately positive and significant correlation was observed between gestational age and cardiac contractility (r=0.46, p=0.0004). A 1-week increase in gestational age was responsible for a 0.1386 cm2 increase in cardiac contractility. CONCLUSION: Cardiac contractility as evaluated by three-dimensional ultrasound using spatiotemporal image correlation in rendering mode showed no significant differences across fetuses with and without pregestational diabetes.

Performance analysis of pretrained convolutional neural network models for ophthalmological disease classification / Análise de desempenho de modelos de rede neural convolucional pré-treinados para classificação de doenças oftalmológicas

ABSTRACT Purpose: This study aimed to evaluate the classification performance of pretrained convolutional neural network models or architectures using fundus image dataset containing eight disease labels. Methods: A publicly available ocular disease intelligent recognition database has been used for the diagnosis of eight diseases. This ocular disease intelligent recognition database has a total of 10,000 fundus images from both eyes of 5,000 patients for the following eight diseases: healthy, diabetic retinopathy, glaucoma, cataract, age-related macular degeneration, hypertension, myopia, and others. Ocular disease classification performances were investigated by constructing three pretrained convolutional neural network architectures including VGG16, Inceptionv3, and ResNet50 models with adaptive moment optimizer. These models were implemented in Google Colab, which made the task straight-forward without spending hours installing the environment and supporting libraries. To evaluate the effectiveness of the models, the dataset was divided into 70%, 10%, and 20% for training, validation, and testing, respectively. For each classification, the training images were augmented to 10,000 fundus images. Results: ResNet50 achieved an accuracy of 97.1%; sensitivity, 78.5%; specificity, 98.5%; and precision, 79.7%, and had the best area under the curve and final score to classify cataract (area under the curve = 0.964, final score = 0.903). By contrast, VGG16 achieved an accuracy of 96.2%; sensitivity, 56.9%; specificity, 99.2%; precision, 84.1%; area under the curve, 0.949; and final score, 0.857. Conclusions: These results demonstrate the ability of the pretrained convolutional neural network architectures to identify ophthalmological diseases from fundus images. ResNet50 can be a good architecture to solve problems in disease detection and classification of glaucoma, cataract, hypertension, and myopia; Inceptionv3 for age-related macular degeneration, and other disease; and VGG16 for normal and diabetic retinopathy.

RESUMO Objetivo: Avaliar o desempenho de classificação de modelos ou arquiteturas de rede neural convolucional pré--treinadas usando um conjunto de dados de imagem de fundo de olho contendo oito rótulos de doenças diferentes. Métodos: Neste artigo, o conjunto de dados de reconhecimento inteligente de doenças oculares publicamente disponível foi usado para o diagnóstico de oito rótulos de doenças diferentes. O banco de dados de reconhecimento inteligente de doenças oculares tem um total de 10.000 imagens de fundo de olho de ambos os olhos de 5.000 pacientes para oito categorias que contêm rótulos saudáveis, retinopatia diabética, glaucoma, catarata, degeneração macular relacionada à idade, hipertensão, miopia, outros. Investigamos o desempenho da classificação de doenças oculares construindo três arquiteturas de rede neural convolucional pré-treinadas diferentes, incluindo os modelos VGG16, Inceptionv3 e ResNet50 com otimizador de Momento Adaptativo. Esses modelos foram implementados no Google Colab o que facilitou a tarefa sem gastar horas instalando o ambiente e suportando bibliotecas. Para avaliar a eficácia dos modelos, o conjunto de dados é dividido em 70% para treinamento, 10% para validação e os 20% restantes utilizados para teste. As imagens de treinamento foram expandidas para 10.000 imagens de fundo de olho para cada tal. Resultados: Observou-se que o modelo ResNet50 alcançou acurácia de 97,1%, sensibilidade de 78,5%, especificidade de 98,5% e precisão de 79,7% e teve a melhor área sob a curva e pontuação final para classificar a categoria da catarata (área sob a curva=0,964, final=0,903). Em contraste, o modelo VGG16 alcançou uma precisão de 96,2%, sensibilidade de 56,9%, especificidade de 99,2% e precisão de 84,1%, área sob a curva 0,949 e pontuação final de 0,857. Conclusão: Esses resultados demonstram a capacidade das arquiteturas de rede neural convolucional pré-treinadas em identificar doenças oftalmológicas a partir de imagens de fundo de olho. ResNet50 pode ser uma boa solução para resolver problemas na detecção e classificação de doenças como glaucoma, catarata, hipertensão e miopia; Inceptionv3 para degeneração macular relacionada à idade e outras doenças; e VGG16 para retinopatia normal e diabética.

Insatisfação com a imagem corporal e baixa aderência ao padrão alimentar ocidental em escolares: um estudo transversal / Body image dissatisfaction and low adherence to the Western dietary standard among schoolchildren: a cross-sectional study

Resumo Este estudo objetivou identificar padrões alimentares e avaliar a associação entre percepção da imagem corporal e esses padrões em escolares. Um estudo transversal foi conduzido em 385 escolares (ambos os sexos, 10-17 anos de idade) de 4 escolas públicas de Salvador, Brasil. Dois recordatórios alimentares de 24h não consecutivos foram aplicados e o padrão alimentar foi determinado por Análise Fatorial Exploratória, após ajuste dos dados dietéticos pelo Multiple Source Method. Para avaliar percepção da imagem corporal, nós usamos uma escala brasileira de silhuetas. Avaliamos as associações entre percepção da imagem corporal e padrões alimentares usando o modelo de regressão logística politômica ajustado para covariáveis. Três padrões alimentares foram obtidos: "padrão ocidental", "padrão saudável" e "comidas típicas/junk food". Após ajuste, adolescentes que desejavam uma silhueta menor (2,48 [IC95%: 1,04-6,11], 3,49 [IC95%: 1,35-9,05] e 2,87 [IC95%: 1,13-7,26]) tinham mais chances de aderir aos quintis de menor consumo do padrão ocidental, comparados àqueles satisfeitos com sua imagem corporal. Nenhuma associação foi identificada nos outros dois padrões alimentares. Adolescentes insatisfeitos com seus corpos tendem a aderir menos a padrões alimentares não saudáveis.

Abstract This study aimed to identify dietary patterns and to evaluate the association between body image perception and these patterns among schoolchildren. A cross-sectional study was conducted on 385 schoolchildren (both sexes, 10-17 years old) from four public schools in Salvador, Brazil. Two non-consecutive 24-hour dietary recalls were applied, and the dietary pattern was determined by Exploratory Factor Analysis after adjustment of dietary data using the Multiple Source Method. To evaluate body image perception, the Brazilian body shape silhouette was used. The associations between body image perception and dietary patterns using the polytomous logistic regression model adjusted for covariables was assessed. Three dietary patterns were obtained: "Western standard," unhealthy, "healthy pattern" and "typical dishes/ junk food." After adjustment, adolescents who wished for a slimmer silhouette (2.48 [95%CI: 1.04-6.11], 3.49 [95%CI: 1.35-9.05] and 2.87 [95%CI: 1.13-7.26]) were more likely to adhere to the quintiles with the lowest consumption of the Western standard, compared to those satisfied with their body image. No associations were identified in the other two dietary patterns. Adolescents dissatisfied with their bodies tend to adhere less to unhealthy dietary patterns.

Evaluating the precision and accuracy of digital dental models with a low-cost structured light device

ABSTRACT Objective: This study evaluated the accuracy and precision of digital models acquisition using a home-built, low-cost scanning system based on the structured light method. Methods: a plaster model (PM) was scanned using the experimental device (SL) and a dental desktop scanner (DS). The teeth dimensions of PM and SL models were measured in triplicate, with a caliper and digitally, respectively. The agreement of the measurements of each model was evaluated using the intraclass correlation coefficient, and the validity between the different measurement techniques was assessed using the Bland-Altman analysis. The accuracy and precision of the models were qualitatively investigated using the mesh superposition of the SL and DS models. Results: A high intraclass correlation coefficient was observed in all models (PM=0.964; SL1=0.998; SL2=0.995; SL3=0.998), and there was no statistical difference between the measurements of the SL models (p>0.05). PM and SL model measurements were found to be in good agreement, with only 3.57% of the observed differences between the same measurement being located outside 95% limits of agreement according to Bland and Altman (0.43 and -0.40 mm). In the superimpositions of SL-SL and SL-DS models, areas of discrepancy greater than 0.5 mm were observed mainly in interproximal, occlusal, and cervical sites. Conclusion: These results indicate that the home-built SL scanning system did not possess sufficient accuracy and precision for many clinical applications. However, the consistency in preserving the dental proportions suggests that the equipment can be used for planning, storage, and simple clinical purposes.

RESUMO Objetivo: Este estudo avaliou a acurácia e a precisão da aquisição de modelos digitais utilizando um sistema de digitalização caseiro e de baixo custo baseado no método de luz estruturada. Material e Métodos: Para isso, um modelo de gesso (MG) foi digitalizado utilizando o dispositivo experimental (LE) e um scanner dental de mesa (SD). As dimensões dos dentes dos modelos MG e LE foram medidas em triplicata com um paquímetro e digitalmente, respectivamente. A concordância das medidas de cada modelo foi avaliada usando o coeficiente de correlação intraclasse, e a validade entre as diferentes técnicas de medição foi avaliada usando a análise de Bland-Altman. A acurácia e a precisão dos modelos foram investigadas qualitativamente usando a sobreposição de malhas dos modelos LE e SD. Resultados: Um alto coeficiente de correlação intraclasse foi observado em todos os modelos (MG=0,964; LE1=0,998; LE2=0,995; LE3=0,998) e não houve diferença estatística entre as medições dos modelos LE (p>0,05). As medições dos modelos MG e LE mostraram boa concordância, com apenas 3,57% das diferenças observadas entre as mesmas medições localizadas fora dos limites de concordância de 95% de acordo com a análise de Bland-Altman (0,43 e -0,40 mm). Nas sobreposições dos modelos LE-LE e LE-SD, foram observadas áreas de discrepância maiores que 0,5 mm principalmente nos sítios interproximais, oclusais e cervicais. Conclusões: Esses resultados indicam que o sistema de digitalização por luz estruturada caseiro não possui precisão e acurácia suficientes para muitas aplicações clínicas. No entanto, a consistência na preservação das proporções dentárias sugere que o equipamento pode ser usado para planejamento, armazenamento e propósitos clínicos simples.

Noninvasive Diagnostic Technique for Nonalcoholic Fatty Liver Disease Based on Features of Tongue Images / 中国结合医学杂志

OBJECTIVE@#To investigate a new noninvasive diagnostic model for nonalcoholic fatty liver disease (NAFLD) based on features of tongue images.@*METHODS@#Healthy controls and volunteers confirmed to have NAFLD by liver ultrasound were recruited from China-Japan Friendship Hospital between September 2018 and May 2019, then the anthropometric indexes and sampled tongue images were measured. The tongue images were labeled by features, based on a brief protocol, without knowing any other clinical data, after a series of corrections and data cleaning. The algorithm was trained on images using labels and several anthropometric indexes for inputs, utilizing machine learning technology. Finally, a logistic regression algorithm and a decision tree model were constructed as 2 diagnostic models for NAFLD.@*RESULTS@#A total of 720 subjects were enrolled in this study, including 432 patients with NAFLD and 288 healthy volunteers. Of them, 482 were randomly allocated into the training set and 238 into the validation set. The diagnostic model based on logistic regression exhibited excellent performance: in validation set, it achieved an accuracy of 86.98%, sensitivity of 91.43%, and specificity of 80.61%; with an area under the curve (AUC) of 0.93 [95% confidence interval (CI) 0.68-0.98]. The decision tree model achieved an accuracy of 81.09%, sensitivity of 91.43%, and specificity of 66.33%; with an AUC of 0.89 (95% CI 0.66-0.92) in validation set.@*CONCLUSIONS@#The features of tongue images were associated with NAFLD. Both the 2 diagnostic models, which would be convenient, noninvasive, lightweight, rapid, and inexpensive technical references for early screening, can accurately distinguish NAFLD and are worth further study.

Advances in Head-and-Neck Interventional Radiotherapy (Brachytherapy)

@#Interventional radiotherapy, also known as brachytherapy, is the use of sealed radioactive sources that directly deliver radiation to the tumor or tumor bed. Its unique dose distribution profile allows for high conformality, making it a very useful modality in the treatment of cancers in the head and neck, where different organs and substructures that serve various but related functions are situated close to each other. In recent years, we have seen several important technological breakthroughs in the field, especially regarding its application in head and neck cancers. These include advances in treatment delivery, dosimetry planning , image guidance , and catheter positioning techniques . These innovations, which often require interdisciplinary interventions, have resulted in enhanced treatment accuracy, and therefore, major clinical advantages in terms of increased local control and decreased toxicity, as well as economic benefits. In order to highlight the differences from old brachytherapy techniques, a more appropriate terminology should perhaps be adopted, to signify these advancements that resulted in new opportunities, approaches and better outcomes – interventional radiotherapy (IRT). Such a change in terminology will not only allow recognition of these advances, but also a meaningful distinction from obsolete techniques and suboptimal outcomes that are associated with traditional brachytherapy. This is very important in increasing awareness among professionals outside the field of radiation oncology. We briefly review these recent advances, the current indications, and future directions for IRT in head-and-neck cancers.

Application status of artificial intelligence techniques in retinoblastoma / 国际眼科杂志(Guoji Yanke Zazhi)

Retinoblastoma is a kind of malignant eye tumor commonly seen in children, which is one of the main causes threatening children's vision and life. The diagnosis and evaluation of retinoblastoma has always been a hot topic in clinic. In the past few years, the application of artificial intelligence(AI)technology has made significant progress in the medical field, providing new opportunities and challenges for the diagnosis and treatment of retinoblastoma, for example, the use of AI algorithms to analyze massive clinical data, which can help doctors diagnose the disease more accurately and provide personalized treatment plans. In addition, AI technology also plays an important role in medical image analysis, genomics research and other aspects, which can help the development of new drugs and improve patient prognosis. This article reviews the application progress of AI in retinoblastoma.

3D hippocampal segmentation based on spatial and frequency domain features adaptive fusion and inter⁃class boundary region enhancement / 解剖学报

Objective Hippocampal atrophy is a clinically important marker for the diagnosis of many psychiatric disorders such as Alzheimer’s disease‚ so accurate segmentation of the hippocampus is an important scientific issue. With the development of deep learning‚ a large number of advanced automatic segmentation method have been proposed. However‚ 3D hippocampal segmentation is still challenging due to the effects of various noises in MRI and unclear boundaries between various classes of the hippocampus. Therefore‚ the aim of this paper is to propose new method to segment the hippocampal head‚ body‚ and tail more accurately. Methods To overcome these challenges‚ this paper proposed two strategies. One was the spatial and frequency domain features adaptive fusion strategy‚ which reduced the influence of noise on feature extraction by automatically selecting the appropriate frequency combination through fast Fourier transform and convolution. The other was an inter-class boundary region enhancement strategy‚ which allowed the network to focus on learning the boundary regions by weighting the loss function of the boundary regions between each class to achieve the goal of pinpointing the boundaries and regulating the size of the hippocampal head‚ body and tail. Results Experiments performed on a 50-case teenager brain MRI dataset show that our method achieves state-of-the-art hippocampal segmentation. Hippocampal head‚ body and tail had been improved compared to the existing method. Ablation experiments demonstrated the effectiveness of our two proposed strategies‚ and we also validated that the network had a strong generalization ability on a 260-case Task04_Hippocampus dataset. It was shown that the method proposed in this paper could be used in more hippocampal segmentation scenarios. Conclusion The method proposed in this paper can help clinicians to observe hippocampal atrophy more clearly and accomplish more accurate diagnosis and follow-up of the condition.

Opinion on the development and research status of intelligent ophthalmology in China / 国际眼科杂志(Guoji Yanke Zazhi)

This paper provides a comprehensive analysis of the current state of intelligent ophthalmology in China, including technological advancements, academic exchange platforms, policy support, future challenges, and potential solutions. Technologically, remarkable progress have been made in various areas of intelligent ophthalmology in China, including diabetic retinopathy, fundus image analysis, and crucial aspects such as quality assessment of medical artificial intelligence products, clinical research methods, technological evaluation, and industrial standards. Researchers are constantly improving the safety and standardization of intelligent ophthalmology technology by formulating clinical application guidelines and standards. Academic exchange platforms have been established to provide extensive collaboration opportunities for professionals across diverse fields, and various academic journals serve as publication platforms for intelligent ophthalmology research. Regarding public policy, the Chinese government has not only established a supportive policy environment for the advancement of intelligent ophthalmology through various documents and regulations, but provided a legal basis and management framework. However, there are still challenges to overcome, such as technological innovation, data privacy and security, outdated regulations, and talent shortages. To tackle these issues, there is a requirement for increased technological research and development, the establishment of regulatory frameworks, talent cultivation, and greater awareness and acceptance of new technologies among patients. By comprehensively addressing these challenges, intelligent ophthalmology in China is expected to continue leading the industry's global development, bringing more innovation and convenience to the field of ophthalmic healthcare.

Application of multidisciplinary in situ simulation training in the treatment of acute ischemic stroke: a quality improvement project / 世界急诊医学杂志（英文）

@#BACKGROUND: Ischemic stroke refers to a disorder in the blood supply to a local area of brain tissue for various reasons and is characterized by high morbidity, mortality, and disability. Early reperfusion of brain tissue at risk of injury is crucial for the treatment of acute ischemic stroke. The purpose of this study was to evaluate comfort levels in managing acute stroke patients with hypoxemia who required endotracheal intubation after multidisciplinary in situ simulation training and to shorten the door-to-image time. METHODS: This quality improvement project utilized a comprehensive multidisciplinary in situ simulation exercise. A total of 53 participants completed the two-day in situ simulation training. The main outcome was the self-reported comfort levels of participants in managing acute stroke patients with hypoxemia requiring endotracheal intubation before and after simulation training. A 5-point Likert scale was used to measure participant comfort. A paired-sample t-test was used to compare the mean self-reported comfort scores of participants, as well as the endotracheal intubation time and door-to-image time on the first and second days of in situ simulation training. The door-to-image time before and after the training was also recorded. RESULTS: The findings indicated that in situ simulation training could enhance participant comfort when managing acute stroke patients with hypoxemia who required endotracheal intubation and shorten door-to-image time. For the emergency management of hypoxemia or tracheal intubation, the mean post-training self-reported comfort score was significantly higher than the mean pre-training comfort score (hypoxemia: 4.53±0.64 vs. 3.62±0.69, t= -11.046, P<0.001; tracheal intubation: 3.98±0.72 vs. 3.43±0.72, t= -6.940, P<0.001). We also observed a decrease in the tracheal intubation and door-to-image time and a decreasing trend in the door-to-image time, which continued after the training. CONCLUSION: Our study demonstrates that the implementation of in situ simulation training in a clinical environment with a multidisciplinary approach may improve the ability and confidence of stroke team members, optimize the first-aid process, and effectively shorten the door-to-image time of stroke patients with emergency complications.

Inheritance and Innovation of Basic Theories of Traditional Chinese Medicine in the Context of Mutual Understanding of Civilisations / 中医杂志

In the context of the current era when different civilizations are learning from each other， traditional Chinese medicine （TCM） needs to continuously draw the essence from modern scientific and technological civilization for creative inheritance and innovative development. It is essential to master the classic texts of TCM to solidify its theoretical foundation， while also read extensively to broaden the academic horizons. TCM's inheritance and innovation should be integrated with the current era's context and social reality， and delve into the essence of TCM's academic experience and clinical practice. Emphasis should be placed on the inheritance of original TCM thinking， and return to the original image creation and transformation. Using image thinking as the main approach， and combined it with modern complex systems science and front-edge methodologies， we could elaborate the TCM theories such as correspondence between nature and human， five circuits and six qi， constitution and endowment， and harmony of body and spirit. The training of academic talents must be at the forefront， closely follow the new trends of the development of contemporary scientific and technological civilization， identify the “pain points” of discipline development， focus on the key areas for improvement， and seek the highlights of academic research. There should be a courage to question and propose new insights， construct new concepts， establish new theories， transform the weakness in original theoretical innovation， and enrich the evolving connotation of TCM.

MobileNetV3 network-based diagnosis of caries and periapical periodontitis from periapical films / 口腔疾病防治

Objective@#To research the effectiveness of deep learning techniques in intelligently diagnosing dental caries and periapical periodontitis and to explore the preliminary application value of deep learning in the diagnosis of oral diseases@*Methods@#A dataset containing 2 298 periapical films, including healthy teeth, dental caries, and periapical periodontitis, was used for the study. The dataset was randomly divided into 1 573 training images, 233 validation images, and 492 test images. By comparing various neural network models, the MobileNetV3 network model with better performance was selected for dental disease diagnosis, and the model was optimized by tuning the network hyperparameters. The accuracy, precision, recall, and F1 score were used to evaluate the model's ability to recognize dental caries and periapical periodontitis. Class activation map was used to visualization analyze the performance of the network model@*Results@#The algorithm achieved a relatively ideal intelligent diagnostic effect with precision, recall, and accuracy of 99.42%, 99.73%, and 99.60%, respectively, and the F1 score was 99.57% for classifying healthy teeth, dental caries, and periapical periodontitis. The visualization of the class activation maps also showed that the network model can accurately extract features of dental diseases.@*Conclusion@#The tooth lesion detection algorithm based on the MobileNetV3 network model can eliminate interference from image quality and human factors and has high diagnostic accuracy, which can meet the needs of dental medicine teaching and clinical applications.

Invarianza factorial por sexo y puntos de corte del cuestionario de control de la imagen corporal en fotografías en población mexicana / Factorial invariance by sex and cut-off points of the body image control questionnaire in photographs in Mexican population

RESUMEN La imagen corporal varía a lo largo de la vida. Los cambios físicos que conlleva la adolescencia, pueden influir en el desarrollo de conductas de riesgo para trastornos alimentarios. Aunque los factores sociales y culturales afectan la imagen corporal, las formas de interacción modernas, mediante el uso de tecnología, en particular las redes sociales, permiten controlar la autopresentación de la imagen corporal en las fotografías que son publicadas, lo que podría servir como indicador de conductas de riesgo alimentarias. El objetivo de este trabajo fue establecer la asociación de conductas alimentarias de riesgo con el control de la imagen corporal en fotografías, para analizar su invarianza factorial por sexo y proponer puntos de corte en población mexicana. La muestra estuvo conformada por 1 155 adolescentes (51.3 % hombres y 48.7 % mujeres), con una media de edad de 15.18 años. Se utilizó el cuestionario en español sobre el control de la imagen corporal en fotografías denominado BICP-S, además del cuestionario de conductas alimentarias de riesgo (CAR). Los resultados evidenciaron una relación entre las conductas alimentarias de riesgo y el control de la imagen en fotografías. La estructura factorial del BICP-S varía en función del sexo, por lo que se proponen diferentes puntos de corte del cuestionario, en donde aquellas ubicadas en el percentil 85 indican riesgo acerca de las preocupaciones por la imagen corporal en mujeres, mientras que en hombres se establece en el percentil 92, con una alta confiabilidad en el control de la imagen en ambos sexos (α > 0.90). El cuestionario tiene utilidad clínica para la detección de jóvenes con serias preocupaciones en torno a la imagen corporal que, de continuar, pueden constituirse en un factor de riesgo para trastornos de la conducta alimentaria.

ABSTRACT Body varies throughout life. Physical changes that take place during teenage years may influence the development of risky behaviors related to eating disorders. Although social and cultural factors affect body image, modern forms of interaction with technology, particularly social networks, allow controlling the self-presentation of body image in the photographs that are published, which could serve as an indicator of risky eating behaviors. The aim of this study was to establish the association of risky eating behaviors with the body image control in photographies, to analyze the factorial invariance by sex and to propose cut-off points in the Mexican population. The sample consisted of 1 155 adolescents (51.3 % males and 48.7 % females), with a mean age of 15.18 years. The BICP-S was used, in addition to the risky eating behaviors questionnaire (CAR). The results showed a relationship between risky eating behaviors and image control in photographs. The factorial structure of the BICP-S varies according to sex, so different cut-off points of the questionnaire are proposed, where those located at the 85th percentile indicate risk about body image concerns in women, while in men it is established at the 92nd percentile, with a high reliability in image control in both groups (α > 0.90). It is concluded that the questionnaire has clinical utility for the detection of at-risk youth who may have serious body image concerns, which if continued can be a risk factor for eating disorders.

Impacto del uso de plataformas de video llamadas en las preocupaciones con la apariencia física en pacientes con Trastornos Alimentarios y de la población general durante la Pandemia por COVID 19 / Video call platforms impact on physical appearance concerns in patients with Eating Disorders and general population during the COVID 19 Pandemic

Resumen: Objetivo: Explorar el impacto del uso cotidiano de plataformas de videollamadas en las cogniciones, emociones y comportamientos relacionados con la autoimagen en pacientes con Trastornos del Comportamiento Alimentario (TCA) y personas de la población general, durante la pandemia por COVID-19. Métodos: Sesenta y ocho pacientes con TCA en tratamiento y 106 personas de la población general respondieron a un cuestionario diseñado para el estudio a través de Lime Survey; (98.5 y 79.2% respectivamente eran mujeres), con edad promedio de 17.6 (DE:3.47) y 33.5 (DE:9.35) respectivamente. Las pacientes discutieron y explicaron sus respuestas en cinco sesiones de terapia grupal presenciales dirigidas por un psiquiatra. Posteriormente, se realizó un análisis temático reflexivo con un enfoque inductivo para determinar las categorías. Resultados: Los pacientes reportaron una mayor incomodidad frente a la cámara, preocupación con la apariencia física, miedo a la crítica, vergüenza y sentimientos de vulnerabilidad, comparados con las personas de la población general. Predominaron los pensamientos negativos sobre la forma y el tamaño del rostro y otras partes del cuerpo y las conductas de chequeo y/o evitación de la imagen corporal, que interfirieron con la concentración y el rendimiento. Conclusión: además del impacto negativo de la pandemia de COVID-19 en la salud mental, la nueva virtualidad desafía a los clínicos a enfrentar dificultades adicionales con la imagen corporal en pacientes con TCA y alerta a la detección de nuevas preocupaciones dismórficas también en la población general.

Abstract: Objective: To explore the impact of video call platforms on physical appearance concerns (cognitions, emotions and behaviors) in Eating Disorders (ED) patients and in general population, during COVID 19 pandemic. Methods: Sixty-eight patients attending a treatment program for ED, and 106 people from the general population responded to a questionnaire designed for the study through Lime Survey; (98.5 and 79.2% respectively were women), with a mean age of 17.6 (SD:3.47) and 33.5 (SD:9.35) respectively. Patients discussed and explained their answers in five in vivo group therapy sessions directed by a psychiatrist. Then, a reflective thematic analysis with an inductive approach to determine the categories was performed. Results: Patients reported a higher discomfort in front of the camera, preoccupation with physical appearance, fear of criticism, embarrassment, and feelings of vulnerability, compared with general population. Negative thoughts about the shape and size of the face and other body parts predominated, as well as body image checking/avoidance behaviors that interfered with concentration and performance. Conclusion: In addition to the negative impact of the COVID-19 pandemic on mental health, the new virtuality challenges clinicians to face additional body image difficulties in ED patients and alerts on the detection of dysmorphic concerns in the general population as well.

Galería de imágenes de tumores malignos como herramienta didáctica en oncología / Gallery of malignancies images as didactic tool in oncology i: en

Introducción: Los tumores malignos son afecciones prevalentes que exigen un diagnóstico temprano para un tratamiento oportuno. La confección de una galería de imágenes como medio de enseñanza con la tecnología digital constituye una herramienta de aprendizaje de incuestionable valor en la especialidad de oncología. Objetivo: Confeccionar una galería de imágenes digitales de tumores malignos como medio de enseñanza alternativo para la docencia de residentes y profesionales de enfermería. Métodos: Se realizó una innovación tecnológica en el Hospital Oncológico Docente Provincial Conrado Benítez García de Santiago de Cuba, durante el bimestre enero-febrero del 2023. El objeto de estudio y el campo de acción fueron los recursos del aprendizaje y las imágenes digitalizadas sobre tumores malignos, respectivamente. Se combinaron los métodos de investigación teóricos (sistematización, vivencial y analítico sintético) y empíricos (análisis documental y encuesta en forma de cuestionario a informantes clave). Resultados: Como medio de enseñanza alternativo para la docencia médica y de enfermería, manualmente se confeccionó una galería digital con 164 imágenes de tumores malignos que incluían casi todas las localizaciones. Los expertos en informática, especialistas, residentes y enfermeras valoraron de muy adecuado el producto informático, basado en la cientificidad y la didáctica tecnológica para la formación académica integral. Conclusiones: La galería de imágenes digitales constituye una herramienta didáctica, motivacional, atractiva e interesante para el aprendizaje de las neoplasias malignas; es un recurso ilustrativo y utilitario para la docencia médica y del profesional de enfermería.

Introduction: Malignancies are prevalent affections that demand an early diagnosis for an opportune treatment. The making of an images gallery as teaching means with digital technology constitutes a learning tool of unquestionable value in the oncology specialty. Objective: To make a gallery of malignancies digital images as alternative teaching means for the residents and nursing professionals. Methods: A technological innovation was carried out in Conrado Benítez García Provincial Teaching Oncological Hospital in Santiago de Cuba, during the January-February two-month period, 2023. The study object and action field were the learning resources and the digital images on malignancies, respectively. The theoretical investigation methods (systematizing, experiential and analytic synthetic) and empiric (documental analysis and interviews in questionnaire form to key informants) were combined. Results: As alternative teaching means for medical and nursing teaching, a digital gallery was manually made with 164 malignancies images that included almost all the localizations. Computer science experts, specialists, residents and nurses valued as very appropriate the computer product, based on the scientificity and the technological didactics for the integral academic training. Conclusions: The gallery of digital images constitutes a didactic, motivational, attractive and interesting tool for learning of malignancies; it is an illustrative and utilitarian resource for medical and nursing professional teaching.

Protocol for capturing 3D facial meshes for rhinoseptoplasty planning

Abstract Objectives: To present and execute a protocol for the capture of 3D facial images using photogrammetry through the open access software Blender and its add-on OrtogOnBlender (OOB) and to evaluate the compatibility of the 3D meshes generated with Computed tomography (CT) of the sinuses. Methods: Individuals > 18 years old, candidates for Rhinoseptoplasty in a tertiary hospital, were submitted to a photographic session to perform the standardized protocol. In the session, divided into 3 phases, sequential photos were taken for processing the photogrammetry in the OOB and producing 3D meshes of the face. The photogrammetry reconstructions were compared with the reference mesh of the soft tissue surface of the Sinus CT scan to assess compatibility between them. Results: 21 patients were included, 67% female. 3 photogrammetry meshes and 1 CT reference mesh were generated, which demonstrated matching compatibility, as most of the mean distances between cloud points were <1.48mm. Phase 3 of the session with the highest number of photos (54.36 ± 15.05) generated the most satisfactory mesh with the best resolution. Conclusions: The proposed protocol is reproducible and feasible in clinical practice, generated satisfactory 3D meshes of the face, being a potential tool for surgical planning and comparison of results. For the implementation of photogrammetry for use in 3D anthropometry, it is necessary to validate this method. Level of evidence: 3. OCEBM Levels of Evidence Working Group.1 The Oxford 2011 Levels of Evidence. Oxford Centre for Evidence-Based Medicine. http://www.cebm.net/index.aspx?o=5653