Three-dimensional quantitative assessment of surgical stability and condylar displacement changes after counterclockwise maxillomandibular advancement surgery: Effect of simultaneous articular disc repositioning.

INTRODUCTION: In this study, we quantitatively assessed 3-dimensional condylar displacement during counterclockwise maxillomandibular advancement surgery (CMMA) with or without articular disc repositioning, focusing on surgical stability in the follow-up period. METHODS: The 79 patients treated with CMMA had cone-beam computed tomography scans taken before surgery, immediately after surgery, and, on average, 15 months postsurgery. We divided the 142 condyles into 3 groups: group 1 (n = 105), condyles of patients diagnosed with symptomatic presurgical temporomandibular joint articular disc displacement who had articular disc repositioning concomitantly with CMMA; group 2 (n = 23), condyles of patients with clinical verification of presurgical articular disc displacement who had only CMMA; and group 3 (n = 14), condyles of patients with healthy temporomandibular joints who had CMMA. Presurgical and postsurgical 3-dimensional models were superimposed using voxel-based registration on the cranial base. Three-dimensional cephalometrics and shape correspondence were applied to assess surgical and postsurgical displacement changes. RESULTS: Immediately after surgery, the condyles moved mostly backward and medially and experienced lateral yaw, medial roll, and upward pitch in the 3 groups. Condyles in group 1 showed downward displacement, whereas the condyles moved upward in groups 2 and 3 (P ≤0.001). Although condylar displacement changes occurred in the 3 groups, the overall surgical procedure appeared to be fairly stable, particularly for groups 1 and 3. Group 2 had the greatest amount of relapse (P ≤0.05). CONCLUSIONS: CMMA has been shown to be a stable procedure for patients with healthy temporomandibular joints and for those who had simultaneous articular disc repositioning surgery.

Common 3-dimensional coordinate system for assessment of directional changes.

INTRODUCTION: The aims of this study were to evaluate how head orientation interferes with the amounts of directional change in 3-dimensional (3D) space and to propose a method to obtain a common coordinate system using 3D surface models. METHODS: Three-dimensional volumetric label maps were built for pretreatment (T1) and posttreatment (T2) from cone-beam computed tomography images of 30 growing subjects. Seven landmarks were labeled in all T1 and T2 volumetric label maps. Registrations of T1 and T2 images relative to the cranial base were performed, and 3D surface models were generated. All T1 surface models were moved by orienting the Frankfort horizontal, midsagittal, and transporionic planes to match the axial, sagittal, and coronal planes, respectively, at a common coordinate system in the Slicer software (open-source, version 4.3.1; http://www.slicer.org). The matrix generated for each T1 model was applied to each corresponding registered T2 surface model, obtaining a common head orientation. The 3D differences between the T1 and registered T2 models, and the amounts of directional change in each plane of the 3D space, were quantified for before and after head orientation. Two assessments were performed: (1) at 1 time point (mandibular width and length), and (2) for longitudinal changes (maxillary and mandibular differences). The differences between measurements before and after head orientation were quantified. Statistical analysis was performed by evaluating the means and standard deviations with paired t tests (mandibular width and length) and Wilcoxon tests (longitudinal changes). For 16 subjects, 2 observers working independently performed the head orientations twice with a 1-week interval between them. Intraclass correlation coefficients and the Bland-Altman method tested intraobserver and interobserver agreements of the x, y, and z coordinates for 7 landmarks. RESULTS: The 3D differences were not affected by the head orientation. The amounts of directional change in each plane of 3D space at 1 time point were strongly influenced by head orientation. The longitudinal changes in each plane of 3D space showed differences smaller than 0.5 mm. Excellent intraobserver and interobserver repeatability and reproducibility (>99%) were observed. CONCLUSIONS: The amount of directional change in each plane of 3D space is strongly influenced by head orientation. The proposed method of head orientation to obtain a common 3D coordinate system is reproducible.

Systematic review: craniocervical posture and craniofacial morphology.

The purpose of this study was to investigate the published evidence regarding the association between head and cervical posture and craniofacial morphology. An electronic search was conducted in PubMed, Medline, Embase, Scopus, and Cochrane databases up to 23 March 2012. Abstracts that seemed to correspond with the goals of this review were selected by a consensus between two independent reviewers. The original articles were retrieved and evaluated to ensure they match the inclusion criteria. Only articles that directly compared head and/or cervical posture with craniofacial morphology were included. A total of 84 articles were found of which 12 matched all inclusion criteria. Detailed analysis of the methodology in selected articles revealed quality scores ranging from 'weak' to 'moderate'. Nine articles were cross-sectional studies, whereas only three were longitudinal studies. The findings of selected articles were linked together in order to clarify the evidence on sagittal and vertical craniofacial features as well as growth prediction regarding different postures of the head and neck. On the basis of the data obtained from the literature, significant associations were found between variables concerning head and cervical posture and craniofacial morphology. However, the results of this systematic review suggest that such associations should be carefully interpreted, considering that correlation coefficients found ranged from low to moderate. Moreover, conflicting results were observed regarding some postural variables. Further longitudinal studies are required to elucidate the relationship between the development of craniofacial morphology and functional aspects of head and cervical posture.

Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR.

The segmentation of medical and dental images is a fundamental step in automated clinical decision support systems. It supports the entire clinical workflow from diagnosis, therapy planning, intervention, and follow-up. In this paper, we propose a novel tool to accurately process a full-face segmentation in about 5 minutes that would otherwise require an average of 7h of manual work by experienced clinicians. This work focuses on the integration of the state-of-the-art UNEt TRansformers (UNETR) of the Medical Open Network for Artificial Intelligence (MONAI) framework. We trained and tested our models using 618 de-identified Cone-Beam Computed Tomography (CBCT) volumetric images of the head acquired with several parameters from different centers for a generalized clinical application. Our results on a 5-fold cross-validation showed high accuracy and robustness with a Dice score up to 0.962±0.02. Our code is available on our public GitHub repository.

Web Infrastructure for Data Management, Storage and Computation.

The Data Storage for Computation and Integration (DSCI) proposes management innovations for web-based secure data storage, algorithms deployment, and task execution. Its architecture allows inclusion of plugins for upload, browsing, sharing, and task execution in remote computing grids. Here, we demonstrate the DSCI implementation and the deployment of Image processing tools (TMJSeg), machine learning algorithms (MandSeg, DentalModelSeg), and advanced statistical packages (Multivariate Functional Shape Data Analysis, MFSDA), with data transfer and task execution handled by the clusterpost plug-in. Due to its comprehensive web-based design, local software installation is no longer required. The DSCI aims to enable and maintain a distributed computing and collaboration environment across multi-site clinical centers for the data processing of multisource features such as clinical, biological markers, volumetric images, and 3D surface models, with particular emphasis on analytics for temporomandibular joint osteoarthritis (TMJ OA).

Automatic Segmentation of Mandibular Ramus and Condyles.

In order to diagnose TMJ pathologies, we developed and tested a novel algorithm, MandSeg, that combines image processing and machine learning approaches for automatically segmenting the mandibular condyles and ramus. A deep neural network based on the U-Net architecture was trained for this task, using 109 cone-beam computed tomography (CBCT) scans. The ground truth label maps were manually segmented by clinicians. The U-Net takes 2D slices extracted from the 3D volumetric images. All the 3D scans were cropped depending on their size in order to keep only the mandibular region of interest. The same anatomic cropping region was used for every scan in the dataset. The scans were acquired at different centers with different resolutions. Therefore, we resized all scans to 512×512 in the pre-processing step where we also performed contrast adjustment as the original scans had low contrast. After the pre-processing, around 350 slices were extracted from each scan, and used to train the U-Net model. For the cross-validation, the dataset was divided into 10 folds. The training was performed with 60 epochs, a batch size of 8 and a learning rate of 2×10-5. The average performance of the models on the test set presented 0.95 ± 0.05 AUC, 0.93 ± 0.06 sensitivity, 0.9998 ± 0.0001 specificity, 0.9996 ± 0.0003 accuracy, and 0.91 ± 0.03 F1 score. This study findings suggest that fast and efficient CBCT image segmentation of the mandibular condyles and ramus from different clinical data sets and centers can be analyzed effectively. Future studies can now extract radiomic and imaging features as potentially relevant objective diagnostic criteria for TMJ pathologies, such as osteoarthritis (OA). The proposed segmentation will allow large datasets to be analyzed more efficiently for disease classification.

Challenges in measuring angles between craniofacial structures.

OBJECTIVE: Three-dimensional (3D) angular measurements between craniofacial planes pose challenges to quantify maxillary and mandibular skeletal discrepancies in surgical treatment planning. This study aims to compare the reproducibility and reliability of two modules to measure angles between planes or lines in 3D virtual surface models. METHODOLOGY: Twenty oriented 3D virtual surface models de-identified and constructed from CBCT scans were randomly selected. Three observers placed landmarks and oriented planes to determine angular measurements of pitch, roll and yaw using (1) 3D pre-existing planes, (2) 3D planes created from landmarks and (3) lines created from landmarks. Inter- and intra-observer reproducibility and repeatability were examined using the Intra-Class Correlation (ICC) test. One observer repeated the measurements with an interval of 15 days. ANOVA was applied to compare the 3 methods. RESULTS: The three methods tested provided statistically similar, reproducible and reliable angular measurements of the facial structures. A strong ICC varying from 0.92 to 1.00 was found for the intra-observer agreement. The inter-observer ICC varied from 0.84 to 1.00. CONCLUSION: Measurements of 3D angles between facial planes in a common coordinate system are reproducible and repeatable either using 3D pre-existing planes, created based on landmarks or angles between lines created from landmarks.

A web-based system for neural network based classification in temporomandibular joint osteoarthritis.

OBJECTIVE: The purpose of this study is to describe the methodological innovations of a web-based system for storage, integration and computation of biomedical data, using a training imaging dataset to remotely compute a deep neural network classifier of temporomandibular joint osteoarthritis (TMJOA). METHODS: This study imaging dataset consisted of three-dimensional (3D) surface meshes of mandibular condyles constructed from cone beam computed tomography (CBCT) scans. The training dataset consisted of 259 condyles, 105 from control subjects and 154 from patients with diagnosis of TMJ OA. For the image analysis classification, 34 right and left condyles from 17 patients (39.9 ±â€¯11.7 years), who experienced signs and symptoms of the disease for less than 5 years, were included as the testing dataset. For the integrative statistical model of clinical, biological and imaging markers, the sample consisted of the same 17 test OA subjects and 17 age and sex matched control subjects (39.4 ±â€¯15.4 years), who did not show any sign or symptom of OA. For these 34 subjects, a standardized clinical questionnaire, blood and saliva samples were also collected. The technological methodologies in this study include a deep neural network classifier of 3D condylar morphology (ShapeVariationAnalyzer, SVA), and a flexible web-based system for data storage, computation and integration (DSCI) of high dimensional imaging, clinical, and biological data. RESULTS: The DSCI system trained and tested the neural network, indicating 5 stages of structural degenerative changes in condylar morphology in the TMJ with 91% close agreement between the clinician consensus and the SVA classifier. The DSCI remotely ran with a novel application of a statistical analysis, the Multivariate Functional Shape Data Analysis, that computed high dimensional correlations between shape 3D coordinates, clinical pain levels and levels of biological markers, and then graphically displayed the computation results. CONCLUSIONS: The findings of this study demonstrate a comprehensive phenotypic characterization of TMJ health and disease at clinical, imaging and biological levels, using novel flexible and versatile open-source tools for a web-based system that provides advanced shape statistical analysis and a neural network based classification of temporomandibular joint osteoarthritis.

Diagnostic Index: An open-source tool to classify TMJ OA condyles.

Osteoarthritis (OA) of temporomandibular joints (TMJ) occurs in about 40% of the patients who present TMJ disorders. Despite its prevalence, OA diagnosis and treatment remain controversial since there are no clear symptoms of the disease, especially in early stages. Quantitative tools based on 3D imaging of the TMJ condyle have the potential to help characterize TMJ OA changes. The goals of the tools proposed in this study are to ultimately develop robust imaging markers for diagnosis and assessment of treatment efficacy. This work proposes to identify differences among asymptomatic controls and different clinical phenotypes of TMJ OA by means of Statistical Shape Modeling (SSM), obtained via clinical expert consensus. From three different grouping schemes (with 3, 5 and 7 groups), our best results reveal that that the majority (74.5%) of the classifications occur in agreement with the groups assigned by consensus between our clinical experts. Our findings suggest the existence of different disease-based phenotypic morphologies in TMJ OA. Our preliminary findings with statistical shape modeling based biomarkers may provide a quantitative staging of the disease. The methodology used in this study is included in an open source image analysis toolbox, to ensure reproducibility and appropriate distribution and dissemination of the solution proposed.

Identificação de infecções do trato reprodutivo em mulheres atendidas na Atenção Primária à Saúde / Identification of reproductive tract infections in assisted women in a unit of Primary Health Care

Objetivo: Identificar a frequência das infecções do trato reprodutivo em mulheres atendidas em uma unidade de atenção primária à saúde, na região da Zona da Mata de Pernambuco. Método: Trata-se de um estudo retrospectivo, documental, de corte transversal, realizado com 361 registros de mulheres na faixa etária dos 14 aos 87 anos. Para a análise, procedeu-se à distribuição das frequências absolutas representados por tabelas através do programa estatístico EpiInfo versão 7.1.5.2. Pesquisa aprovada pelo Comitê de Ética em Pesquisa, com CAAE no 54417916.2.0000.5208. Resultados: A Gardnerella vaginalis (16,62%) foi o agente microbiológico mais frequente que os demais causadores de infecções do trato reprodutivo; os microrganismos foram mais prevalentes na faixa etária de 25-34 anos. Conclusão: Sob o ponto de vista dos benefícios do cuidado à saúde da mulher, na atenção primária, incentiva-se a atuação profissional no sentido de promover ações de educação em saúde visando a conscientização de mulheres das diversas faixas etárias, sobre a relevância das ITR's.

Objective: To identify the frequency of reproductive tract infections in women treated in a primary health care unit in the Pernambuco forest zone. Method: This is a retrospective, documental, cross-sectional study, conducted with 361 records of women aged 14 to 87 years. For the analysis, the absolute frequencies represented by tables were distributed through the statistical program EpiInfo version 7.1.5.2. The research was approved by the Research Ethics Committee, with CAAE No. 54417916.2.0000.5208. Results: Gardnerella vaginalis (16.62%) was the most frequent microbiological agent from all the other causes of reproductive tract infections; microorganisms were more prevalent in the 25-34 age group. Conclusion: From the point of view of the benefits of women's health care, in primary care, professional action is encouraged to promote health education actions aimed at raising awareness of women of various age groups about the relevance of ITR's.

Cone beam computed tomography-based models versus multislice spiral computed tomography-based models for assessing condylar morphology.

OBJECTIVE: To quantitatively compare condylar morphology using cone beam computed tomography (CBCT) and multislice spiral computed tomography (MSCT) virtual three-dimensional surface models. STUDY DESIGN: The sample consisted of secondary data analyses of CBCT and MSCT scans obtained for clinical purposes from 74 patients treated with condylar resection and prosthetic joint replacement. Three-dimensional surface models of 146 condyles were constructed from each scan modality. Across-subject models were approximated and voxel-based registration was performed between homologous CBCT and MSCT images, making it possible to create average CBCT- and MSCT-based condylar models. SPHARM-PDM software provided matching points on each corresponding model. ShapeAnalysisMANCOVA software assessed statistically significant differences between observers and imaging modalities. One-sample t-tests evaluated the null hypothesis that the mean differences between each CBCT- and MSCT-based model were not clinically significant (<.5 mm). Tests were conducted at a significance level of P < .05. RESULTS: ShapeAnalysisMANCOVA showed no statistically significant difference between the average CBCT- and MSCT-based models (P > .68). During pairwise comparison, the mean difference observed was .406 mm (SD, .173). One sample t-test showed that mean differences between each set of paired CBCT- and MSCT-based models were not clinically significant (P = .411). CONCLUSION: Three-dimensional surface models constructed from CBCT images are comparable to those derived from MSCT scans and may be considered reliable tools for assessing condylar morphology.

Validation of Osteoarthritis synthetic defect database via non-rigid registration.

Temporomandibular joint (TMJ) disorders are a group of conditions that cause pain and dysfunction in the jaw joint and the muscles controlling jaw movement. However, diagnosis and treatment of these conditions remain controversial. To date, there is no single sign, symptom, or test that can clearly diagnose early stages of osteoarthritis (OA). Instead, the diagnosis is based on a consideration of several factors, including radiological evaluation. The current radiological diagnosis scores of TMJ pathology are subject to misdiagnosis. We believe these scores are limited by the acquisition procedures, such as oblique cuts of the CT and head positioning errors, and can lead to incorrect diagnoses of flattening of the head of the condyle, formation of osteophytes, or condylar pitting. This study consists of creating and validating a methodological framework to simulate defects in CBCT scans of known location and size, in order to create synthetic TMJ OA database. User-generated defects were created using a non-rigid deformation protocol in CBCT. All segmentation evaluation, surface distances and linear distances from the user-generated to the simulated defects showed our methodological framework to be very precise and within a voxel (0.5 mm) of magnitude. A TMJ OA synthetic database will be created next, and evaluated by expert radiologists, and this will serve to evaluate how sensitive the current radiological diagnosis tools are.

Diagnostic index of 3D osteoarthritic changes in TMJ condylar morphology.

The aim of this study was to investigate imaging statistical approaches for classifying 3D osteoarthritic morphological variations among 169 Temporomandibular Joint (TMJ) condyles. Cone beam Computed Tomography (CBCT) scans were acquired from 69 patients with long-term TMJ Osteoarthritis (OA) (39.1 ± 15.7 years), 15 patients at initial diagnosis of OA (44.9 ± 14.8 years) and 7 healthy controls (43 ± 12.4 years). 3D surface models of the condyles were constructed and Shape Correspondence was used to establish correspondent points on each model. The statistical framework included a multivariate analysis of covariance (MANCOVA) and Direction-Projection- Permutation (DiProPerm) for testing statistical significance of the differences between healthy control and the OA group determined by clinical and radiographic diagnoses. Unsupervised classification using hierarchical agglomerative clustering (HAC) was then conducted. Condylar morphology in OA and healthy subjects varied widely. Compared with healthy controls, OA average condyle was statistically significantly smaller in all dimensions except its anterior surface. Significant flattening of the lateral pole was noticed at initial diagnosis (p < 0.05). It was observed areas of 3.88 mm bone resorption at the superior surface and 3.10 mm bone apposition at the anterior aspect of the long-term OA average model. 1000 permutation statistics of DiProPerm supported a significant difference between the healthy control group and OA group (t = 6.7, empirical p-value = 0.001). Clinically meaningful unsupervised classification of TMJ condylar morphology determined a preliminary diagnostic index of 3D osteoarthritic changes, which may be the first step towards a more targeted diagnosis of this condition.

Diagnostic index of three-dimensional osteoarthritic changes in temporomandibular joint condylar morphology.

This study aimed to investigate imaging statistical approaches for classifying three-dimensional (3-D) osteoarthritic morphological variations among 169 temporomandibular joint (TMJ) condyles. Cone-beam computed tomography scans were acquired from 69 subjects with long-term TMJ osteoarthritis (OA), 15 subjects at initial diagnosis of OA, and 7 healthy controls. Three-dimensional surface models of the condyles were constructed and SPHARM-PDM established correspondent points on each model. Multivariate analysis of covariance and direction-projection-permutation (DiProPerm) were used for testing statistical significance of the differences between the groups determined by clinical and radiographic diagnoses. Unsupervised classification using hierarchical agglomerative clustering was then conducted. Compared with healthy controls, OA average condyle was significantly smaller in all dimensions except its anterior surface. Significant flattening of the lateral pole was noticed at initial diagnosis. We observed areas of 3.88-mm bone resorption at the superior surface and 3.10-mm bone apposition at the anterior aspect of the long-term OA average model. DiProPerm supported a significant difference between the healthy control and OA group ([Formula: see text]). Clinically meaningful unsupervised classification of TMJ condylar morphology determined a preliminary diagnostic index of 3-D osteoarthritic changes, which may be the first step towards a more targeted diagnosis of this condition.

Challenges in measuring angles between craniofacial structures

Abstract Objective: Three-dimensional (3D) angular measurements between craniofacial planes pose challenges to quantify maxillary and mandibular skeletal discrepancies in surgical treatment planning. This study aims to compare the reproducibility and reliability of two modules to measure angles between planes or lines in 3D virtual surface models. Methodology: Twenty oriented 3D virtual surface models de-identified and constructed from CBCT scans were randomly selected. Three observers placed landmarks and oriented planes to determine angular measurements of pitch, roll and yaw using (1) 3D pre-existing planes, (2) 3D planes created from landmarks and (3) lines created from landmarks. Inter- and intra-observer reproducibility and repeatability were examined using the Intra-Class Correlation (ICC) test. One observer repeated the measurements with an interval of 15 days. ANOVA was applied to compare the 3 methods. Results: The three methods tested provided statistically similar, reproducible and reliable angular measurements of the facial structures. A strong ICC varying from 0.92 to 1.00 was found for the intra-observer agreement. The inter-observer ICC varied from 0.84 to 1.00. Conclusion: Measurements of 3D angles between facial planes in a common coordinate system are reproducible and repeatable either using 3D pre-existing planes, created based on landmarks or angles between lines created from landmarks.

Photographic assessment of cephalometric measurements.

OBJECTIVE: To investigate the relationship between craniofacial measurements obtained from cephalometric radiographs and analogous measurements from profile photographs. MATERIALS AND METHODS: Lateral cephalograms and standardized facial profile photographs were obtained from a sample of 123 subjects (65 girls, 58 boys; age 7-12 years). Intraclass correlation coefficients (ICCs) were calculated from repeated photographic measurements to evaluate method reliability. Analogous cephalometric and photographic measurements were compared to assess Pearson correlation coefficients. Linear regression analyses were conducted between the measurements that achieved correlation coefficients greater than r  =  0.7. RESULTS: The reliability of the photographic technique was satisfactory. Most measurements showed ICCs above 0.80 and highly significant correlations (P ≤ .001) with cephalometric variables. Among all measurements used, the A'N'B' angle was the most effective in explaining the variability of its analogous cephalometric, mainly for female subjects (r(2)  =  0.80). The FMA' angle showed the best results for vertical assessment (r(2)  =  0.65). CONCLUSIONS: The photographic method has proven to be a repeatable and reproducible tool provided that a standardized protocol is followed. Therefore, it may be considered a feasible and practical diagnostic alternative, particularly if there is a need for a low-cost and noninvasive method.

Perfil alimentar de estudantes de uma escola estadual / Food profile of students in a state school / Perfil alimentar de estudiantes de una escuela del estado

Objetivo: traçar o perfil alimentar de estudantes de uma escola estadual. Método: estudo observacional, transversal e de abordagem quantitativa. Os dados foram coletados com um instrumento, aplicado para 202 adolescentes entre 12 e 18 anos do agreste pernambucano. Os dados foram digitados no Excel e exportados para o software Statistical Package for Social Science ­ (SPSS versão 16.0). Resultados: dos alimentos consumidos diariamente pelos adolescentes, destacaram-se aqueles ricos em carboidratos, açucares e frituras. Houve uma baixa adesão a frutas, verduras e hortaliças. Apenas 26,1% dos adolescentes consomem fruta e suco de fruta e 23,8% referem nunca consumir verdura. O Índice de Massa Corpórea e os dados pressóricos mostraram-se alterados e bem significativos. Conclusão: a diminuição de alimentos nutricionais, como frutas, verduras, legumes, e o aumento do consumo de alimentos ricos em gorduras, carboidratos e frituras são hábitos cada vez mais frequentes entre os adolescentes, aumentando as chances de desenvolverem doenças crônicas na idade adulta.(AU)

Objective: to trace the food profile of students at a state school. Method: observational, transversal study with a quantitative approach. Data were collected with an instrument applied to 202 adolescents between 12 and 18 years old of a rural area in Pernambuco. Data were entered in Excel and exported to the Statistical Package for Social Sciences software - (SPSS version 16.0). Results: most food consumed daily by adolescents were carbohydrates, sugars and fried food. There was a low adherence to fruits and vegetables. Only 26.1% of adolescents consume fruit and fruit juice and 23.8% reported never consuming vegetables. The body mass index and blood pressure data were altered and very significant. Conclusion: the decrease of nutritional foods like fruits, vegetables, and increased consumption of foods rich in fats, carbohydrates and fried foods are increasingly frequent habits among adolescents, increasing the chances of developing chronic diseases in adulthood.(AU)

Objetivo: trazar el perfil alimentario de estudiantes de una escuela estadual. Método: estudio observacional, transversal, de enfoque cuantitativo. Los datos fueron recolegidos con un instrumento, aplicados a 202 adolescentes entre 12 y 18 años del agreste de Pernambuco. Los datos fueron digitados en Excel y exportados para el software Statistical Package for Social Science ­ (SPSS versión 16.0). Resultados: de los alimentos consumidos diariamente por los adolescentes se destacaron aquellos ricos en carbohidratos, azúcar y frituras. Hubo una baja adhesión a frutas, verduras y hortalizas. Apenas 26,1% de los adolescentes consumen fruta y jugo de fruta y 23,8% dicen nunca consumir verdura. El Índice de Masa Corporal y los datos se mostraron alterados y bien significativos. Conclusión: la disminución de alimentos nutricionales como frutas, verduras, legumbres, y el aumento del consumo de alimentos ricos en gorduras, carbohidratos y frituras son hábitos cada vez más frecuentes entre los adolescentes, aumentando las chances de desarrollar enfermedades crónicas en la edad adulta.(AU)

Oncogenic High-risk Human Papillomavirus Detection and Evaluation of Risk Factors in the Cervical Intraepithelial Neoplasia I / Detecção do Papilomavírus Humano de Alto Risco Oncogênico e Avaliação dos seus Fatores de Risco nas Neoplasias Intraepiteliais Cervicais Grau

The cervical intraepithelial neoplasia grade I (CIN I) shows an important percentual of spontaneous regression (80%) and there is no universal consensus if these lesions should be treated or only monitored. Lesions at risk for progression are precisely those associated with high-risk HPV. Knowing which CIN I are related to these viruses may be one of the determining factors for the decision to treat or not. Objective: To determine the prevalence of high-risk HPV in women with CIN I and to evaluate if there is an association between the presence of the virus and some risk factors. Methods : Cross-sectional descriptive study. We evaluated 55 women with histological diagnosis of CIN I. All of them were previously submitted to HPV-DNA testing. Results: 25 out of 55 (45.5%) women analyzed were positive for high-risk HPV. The virus infection was related with higher level of education, smoking and history of sexually transmitted diseases. Other risk factors like age, number of sexual partners, age at first sexual intercourse, use of hormonal contraceptives, and immunosuppression condition did not show a relation to the high-risk HPV infection. Conclusions: The prevalence of high-risk HPV in women with histological diagnosis of CIN I was 45.5%. HPV-DNA detection was associated with smoking, history of sexually transmitted diseases, and higher level of education.

As neoplasias intraepiteliais cervicais grau I (NIC I) apresentam um percentual importante de regressão espontânea (cerca de 80%) e não há um consenso universal se essas lesões devam ser tratadas ou apenas acompanhadas. As lesões que apresentam risco de progressão são justamente aquelas associadas aos HPV de alto risco oncogênico. O conhecimento de quais lesões estão relacionadas a esses vírus pode ser um dos fatores determinantes para a decisão de se tratar ou não tais lesões. Objetivo: Determinar a prevalência do papilomavírus humano (HPV) de alto risco oncogênico em mulheres com resultado histológico de NIC I e verificar a existência da associação entre a presença do vírus e alguns fatores de risco. Métodos: Trata-se de um estudo transversal, de caráter descritivo, onde foram avaliadas 55 mulheres com diagnóstico histopatológico de NIC I. Todas foram submetidas ao teste de DNA-HPV previamente. Resultados: Das 55 mulheres analisadas, 25 (45,5%) apresentaram HPV de alto risco positivo. A infecção pelo vírus foi associada às mulheres com mais anos de estudo, tabagismo e à história de alguma doença sexualmente transmissível. Outros fatores de risco, como a idade, o número de parceiros sexuais, a faixa etária em que ocorreu a coitarca, o uso de anticoncepcionais hormonais e o estado de imunossupressão, não mostraram relação com a infecção pelo HPV. Conclusão: A prevalência do HPV de alto risco oncogênico nas mulheres com diagnóstico histológico de NIC I foi de 45,5%. A detecção do vírus foi associada ao tabagismo, à história de doença sexualmente transmissível e a um grau maior de escolaridade.

Photographic assessment of hyperdivergent skeletal Class II patients / Avaliação fotográfica de pacientes padrão esquelético classe II hiperdivergentes

Desordens temporomandibulares, distúrbios do sono por obstrução das vias aéreas e alterações na postura crânio cervical constituem alguns dos problemas que têm sido relacionados com o paciente padrão esquelético classe II hiperdivergente. Embora as telerradiografias laterais representem o padrão ouro para o diagnóstico da morfologia cranio facial na prática clínica, este exame pode não ser viável para aplicação em estudos epidemiológicos de larga escala. Objetivo: O objetivo deste estudo foi testar a validade de um novo método fotográfico no diagnóstico de pacientes classe II hiperdivergentes para fins de investigação epidemiológica. Material e Métodos: Telerradiografias laterais e fotografias de perfil foram obtidas a partir de 123 indivíduos distribuídos em dois grupos: 51 pacientes compuseram o grupo de pacientes classe II hiperdivergente, enquanto que os outros 72 pacientes formaram um segundo grupo. A análise discriminante descreveu um modelo matemático para melhor diagnosticar pacientes padrão esquelético classe II hiperdivergente através de fotografias. Resultados: Uma função canônica discriminante composta por duas variáveis fotográficas classificou corretamente 85% dos pacientes classe II hiperdivergentes durante a validação interna (p < 0,001). O método mostrou 83% de sensibilidade e 73% de especificidade no processo de validação externa. Conclusão: O método fotográfico pode ser considerado como uma alternativa viável e prática para diagnosticar o paciente classe II hiperdivergente, particularmente se existir a necessidade de um método não invasivo e de baixo custo.

Temporomandibular disorders, sleep disturbances by airway obstruction and craniocervical posture changes constitute some of the problems that have been related to hyperdivergent skeletal Class II patients. Although cephalometric radiographs represent the gold standard for diagnosing craniofacial morphology in clinical practice, it might not be feasible for large-scale epidemiological research. Objectives: The aim of this study was to test the validity of a new photographic method in diagnosing hyperdivergent skeletal Class II patients for epidemiological research purposes. Material and Methods: Lateral cephalograms and profile photographs were obtained from 123 subjects assigned into two groups. 51 patients comprised the hyperdivergent skeletal Class II group and the other 72 composed a second group. Discriminant analysis described a mathematical model to better diagnose hyperdivergent skeletal Class II patients through photographs. Results: A canonical discriminant function composed of two photographic variables correctly classified 85% of the hyperdivergent skeletal Class II patients during internal validation (p < 0.001). The method showed 83% sensitivity and 73% specificity in external validation procedure. Conclusion: The photographic method may be a feasible and practical alternative for diagnosing the hyperdivergent skeletal Class II patient, particularly if there is a need for a low-cost and noninvasive method.