Introduction: The nasal septum, a component of the chondrocranium, acts as a growth center that may have a morphogenetic influence on adjacent intramembranous-derived structures of the nasofacial complex. Recent evidence has demonstrated that morphological variation in the nasofacial complex is potentially due to early developmental variation in chondrocranial-derived nasal structures. There are likely both local and systemic factors that affect inter-population nasal variation. If the morphology of the nasal complex is driven, at least in part, by the morphogenetic effects of cartilage during ontogeny, then selection for altered nasal morphology under different climatic conditions is potentially achieved via developmental changes in chondrocranial-derived structures. This suggests that genes influencing the development of cartilage-derived structures may be the targets of climate-mediated selection. The purpose of this study is to further examine the potential influence of variation in chondrocranial-derived structures on gross nasal morphology by utilizing a candidate gene approach to assess phenotype/genotype associations in the nasal complex. Materials and methods: Using cone beam computed tomography scans (CBCT), we collected a series of k=44 landmarks representing different cartilaginous and osseous nasal components from an adult sample (n = 120). A group of 69 loci from 22 genes were selected that have been previously found to have an association to cartilage development or variation in the nasal complex in humans and animal models. Centroid size of coordinate landmark configurations were used to quantify nasal complex size. A principle components analysis was used to quantify nasal complex shape. Phenotypes were characterized using the symmetric component of variation. Subjects were categorized by genotype for each SNP (i.e., AA, AB, BB) analyzed, and significant differences in PC scores were tested using ANOVA. Results: There were no significant associations between nasal complex size and genotype for any of the SNPs analyzed. Phenotype/genotype relationships were assessed for the first four PCs, which accounted for 47.89% of the total variation in the sample. Significant associations between individual PC scores and genotypes were found. Conclusion: Our results indicate that nasal complex variation is associated with a number of genes that have been previously linked to skeletal tissue development and facial morphogenesis.

Neste estudo avaliou-se a eficácia da radiografia panorâmica na detecção de desvio do septo nasal. Para tanto, utilizou-se como padrão ouro o exame clínico e imagens tomográficas da face. A amostra foi composta por imagens radiográficas panorâmicas e por imagens de tomografia computadorizada da face de 70 indivíduos. Dentre os indivíduos que compuseram o estudo, 30 eram pacientes que seriam submetidos a tratamento odontológico e possuíam radiografias panorâmicas nas quais foram observadas imagens compatíveis com desvio do septo nasal. Estes pacientes foram avaliados por um otorrinolaringologista e submetidos, segundo o critério da justificação, ao exame de tomografia computadorizada da face. Os outros 40 indivíduos foram selecionados a partir de imagens panorâmicas dos prontuários de pacientes disponíveis no arquivo da Clínica de Estomatologia da FOB-USP e que também haviam realizado tomografia computadorizada da face para elaboração de diagnóstico e plano de tratamento odontológico. Os resultados mostraram que a radiografia panorâmica, segundo a metodologia adotada, foi eficaz na detecção do desvio do septo nasal, com 100% de Especificidade. Além disso, este exame permite a confirmação da ausência deste desvio na maioria dos casos, com 86% de Sensibilidade. / OBJECTIVE: Discern the efficacy of panoramic radiography on nasal septum deviation. Gold standard computerized tomography along with clinical examination was used for comparison. MATERIAL AND METHODS: Sample was composed of 70 subjects from Stomatology files of FOB-USP. Nasal septum deviation was assessed using the panoramic radiographies. Then, computerized tomography was analyzed and the results confronted. RESULTS: Images of nasal septum deviation were observed and confirmed in both exams on 100% of the subjects. However, in those cases with no deviation observed with the panoramic radiographies, its presence was confirmed in 86% after computerized tomography. CONCLUSION: Panoramic radiography was trustable for confirmation of nasal septum presence, with 100% of Specificity. Further, this exam allows the confirmation of the absence of this deviation in the majority of cases, with 86% of Sensibility.

INTRODUÇÃO: A área da seccção externa da narina é a parte inferior da válvula nasal externa que é o primeiro obstáculo ao fluxo de ar. Existem dúvidas e controvérsias em relação a eficácia de tratamentos cirúrgicos nessa região do nariz durante a rinoplastia. Neste estudo, compararam-se em cadáveres o uso do enxerto de reforço alar modificado de cartilagem septal e costal para analisar o aumento da área seccional externa narinária. MÉTODOS: Trinta narinas de cadáveres foram dissecados no Serviço de Verificação de Óbito da Capital- Universidade de São Paulo. A escolha dos cadáveres foi aleatória (9 mulheres e 6 homens) excluíndo-se os casos com lesão deformante nasal ou doença intra-nasal. Todos os enxertos septais e costais apresentavam as mesmas dimensões (30 x 5 x 1 mm) e foram inseridos acima do ramo lateral das cartilagens alares de maneira aleatória. A seguir, realizaram-se fotos padronizadas e mensurações das 90 áreas seccionais externas de narina com o programa Autocad®; 30 antes de qualquer procedimento; 60 após a inclusão de enxertos (30 usando cartilagem costal e 30 usando cartilagem septal). A análise estatística foi feita com um modelo de medidas repetidas e ANOVA (análise de variância) para a variável área. A comparação das médias foi feita pelo método de Tukey, sendo o coeficiente de confiança global de 95%. RESULTADOS: A área seccional externa da narina sem tratamento, com inclusão de enxerto de reforço alar modificado septal e costal é, respectivamente, 0,76 cm2, 0,85 cm2 (aumento de 11,8%) e 0,91 cm2 (aumento de 19,7%). CONCLUSÃO: O enxerto de reforço alar modificado de costela é estatisticamente mais efetivo que o enxerto de reforço alar modificado de septo para aumentar a área de secção externa da narina / INTRODUCTION: The nostril cross-sectional area (bottom of the external nasal valve) presents the first obstacle to airflow. There are doubts and controversies regarding the effectiveness of surgical treatments in this region of the nose during a rhinoplasty. In this study, we have tested two modified strategies for alar reinforcement, one using a cartilage graft from the nasal septum and the other using rib cartilage, to analyze and compare their effectiveness in augmenting nostril cross-sectional area. METHODS: Thirty corpses nostrils were dissected in the Division of Postmortem Inspection at the University of São Paulo. Corpses were chosen at random (9 women and 6 men) excluding those with deforming nasal injury or intra-nasal disease. All nasal septum and rib grafts had the same dimensions (30 x 5 x 1 mm) and were inserted randomly above the lateral crura of the alar cartilages. Then, a total of 90 standardized photographs were taken to measure nostril cross-sectional area using the Autocad® program; one per nostril on all 15 cadavers, at three separate intervals. Thirty photos were taken prior to any procedure being performed, and 60 after the insertion in each nostril, of the two different types of cartilage grafts. After one graft was tested, it was removed and replaced with the other type. The order of the procedures was randomized. Statistical analyses were conducted using a model for repeated measures and ANOVA for the variable area. The comparison of means was done with Tukeys method and a 95% confidence coefficient. RESULTS: The nostril cross-sectional area before treatment, after modified alar reinforcement using septum cartilage graft, and after modified alar reinforcement using rib graft were 0,76 cm2, 0,85 cm2 (increase of 11,8%) and 0,91 cm2 (increase 19.7%), respectively. CONCLUSION: The modified alar reinforcement using grafts of rib cartilage is statistically more effective than the modified alar reinforcement using grafts of nasal septum in increasing the nostril cross-sectional area

INTRODUÇÃO: A área da seccção externa da narina é a parte inferior da válvula nasal externa que é o primeiro obstáculo ao fluxo de ar. Existem dúvidas e controvérsias em relação a eficácia de tratamentos cirúrgicos nessa região do nariz durante a rinoplastia. Neste estudo, compararam-se em cadáveres o uso do enxerto de reforço alar modificado de cartilagem septal e costal para analisar o aumento da área seccional externa narinária. MÉTODOS: Trinta narinas de cadáveres foram dissecados no Serviço de Verificação de Óbito da Capital- Universidade de São Paulo. A escolha dos cadáveres foi aleatória (9 mulheres e 6 homens) excluíndo-se os casos com lesão deformante nasal ou doença intra-nasal. Todos os enxertos septais e costais apresentavam as mesmas dimensões (30 x 5 x 1 mm) e foram inseridos acima do ramo lateral das cartilagens alares de maneira aleatória. A seguir, realizaram-se fotos padronizadas e mensurações das 90 áreas seccionais externas de narina com o programa Autocad®; 30 antes de qualquer procedimento; 60 após a inclusão de enxertos (30 usando cartilagem costal e 30 usando cartilagem septal). A análise estatística foi feita com um modelo de medidas repetidas e ANOVA (análise de variância) para a variável área. A comparação das médias foi feita pelo método de Tukey, sendo o coeficiente de confiança global de 95%. RESULTADOS: A área seccional externa da narina sem tratamento, com inclusão de enxerto de reforço alar modificado septal e costal é, respectivamente, 0,76 cm2, 0,85 cm2 (aumento de 11,8%) e 0,91 cm2 (aumento de 19,7%). CONCLUSÃO: O enxerto de reforço alar modificado de costela é estatisticamente mais efetivo que o enxerto de reforço alar modificado de septo para aumentar a área de secção externa da narina / INTRODUCTION: The nostril cross-sectional area (bottom of the external nasal valve) presents the first obstacle to airflow. There are doubts and controversies regarding the effectiveness of surgical treatments in this region of the nose during a rhinoplasty. In this study, we have tested two modified strategies for alar reinforcement, one using a cartilage graft from the nasal septum and the other using rib cartilage, to analyze and compare their effectiveness in augmenting nostril cross-sectional area. METHODS: Thirty corpses nostrils were dissected in the Division of Postmortem Inspection at the University of São Paulo. Corpses were chosen at random (9 women and 6 men) excluding those with deforming nasal injury or intra-nasal disease. All nasal septum and rib grafts had the same dimensions (30 x 5 x 1 mm) and were inserted randomly above the lateral crura of the alar cartilages. Then, a total of 90 standardized photographs were taken to measure nostril cross-sectional area using the Autocad® program; one per nostril on all 15 cadavers, at three separate intervals. Thirty photos were taken prior to any procedure being performed, and 60 after the insertion in each nostril, of the two different types of cartilage grafts. After one graft was tested, it was removed and replaced with the other type. The order of the procedures was randomized. Statistical analyses were conducted using a model for repeated measures and ANOVA for the variable area. The comparison of means was done with Tukeys method and a 95% confidence coefficient. RESULTS: The nostril cross-sectional area before treatment, after modified alar reinforcement using septum cartilage graft, and after modified alar reinforcement using rib graft were 0,76 cm2, 0,85 cm2 (increase of 11,8%) and 0,91 cm2 (increase 19.7%), respectively. CONCLUSION: The modified alar reinforcement using grafts of rib cartilage is statistically more effective than the modified alar reinforcement using grafts of nasal septum in increasing the nostril cross-sectional area

Neste estudo avaliou-se a eficácia da radiografia panorâmica na detecção de desvio do septo nasal. Para tanto, utilizou-se como padrão ouro o exame clínico e imagens tomográficas da face. A amostra foi composta por imagens radiográficas panorâmicas e por imagens de tomografia computadorizada da face de 70 indivíduos. Dentre os indivíduos que compuseram o estudo, 30 eram pacientes que seriam submetidos a tratamento odontológico e possuíam radiografias panorâmicas nas quais foram observadas imagens compatíveis com desvio do septo nasal. Estes pacientes foram avaliados por um otorrinolaringologista e submetidos, segundo o critério da justificação, ao exame de tomografia computadorizada da face. Os outros 40 indivíduos foram selecionados a partir de imagens panorâmicas dos prontuários de pacientes disponíveis no arquivo da Clínica de Estomatologia da FOB-USP e que também haviam realizado tomografia computadorizada da face para elaboração de diagnóstico e plano de tratamento odontológico. Os resultados mostraram que a radiografia panorâmica, segundo a metodologia adotada, foi eficaz na detecção do desvio do septo nasal, com 100% de Especificidade. Além disso, este exame permite a confirmação da ausência deste desvio na maioria dos casos, com 86% de Sensibilidade. / OBJECTIVE: Discern the efficacy of panoramic radiography on nasal septum deviation. Gold standard computerized tomography along with clinical examination was used for comparison. MATERIAL AND METHODS: Sample was composed of 70 subjects from Stomatology files of FOB-USP. Nasal septum deviation was assessed using the panoramic radiographies. Then, computerized tomography was analyzed and the results confronted. RESULTS: Images of nasal septum deviation were observed and confirmed in both exams on 100% of the subjects. However, in those cases with no deviation observed with the panoramic radiographies, its presence was confirmed in 86% after computerized tomography. CONCLUSION: Panoramic radiography was trustable for confirmation of nasal septum presence, with 100% of Specificity. Further, this exam allows the confirmation of the absence of this deviation in the majority of cases, with 86% of Sensibility.

Introduction: The purpose of this study was to subclassify the types of facial asymmetries present in a pre-surgical dentofacial deformity patient population to determine the prevalence of each subcategory. Associations between the craniofacial characteristics of each asymmetry and pre-surgical Jaw Pain and Function Questionnaire (JPFQ) scores, diagnosis of temporomandibular disorders (TMD), and posterior facial asymmetry (PFA) as determined by nasal septum deviation were analyzed. In addition, the data will aid in the development of a phenomics database to allow for subsequent genotyping and gene expression evaluation from patient saliva and masseter muscle samples that were obtained at the time of corrective orthognathic surgery. Methods: Pre-surgical posterio-anterior (PA) cephalograms, submentovertex (SMV) and panoramic (PAN) radiographs from 92 pre-surgical dentofacial deformity patients at the Department of Oral and Maxillofacial Surgery, University of Lille, France were collected to evaluate facial asymmetry. PAs were traced and analyzed according to the Grummons Simplified Frontal analysis and Ramal Height analysis (Dolphin Imaging). SMVs were analyzed by the refined clinical system of the Ritucci and Burstone analysis proposed by Arnold et al along with original angular measurements for maxillary, mandibular, and nasal septum deviations (ImageJ). PFA was determined by a nasal septum deviation greater than 15 degrees. Lastly, PANs were evaluated visually for condylar pathologies. A comprehensive diagnostic decision tree for facial asymmetry was formulated based upon the current literature for normal variation of landmarks and the study design. Patient diagnosis via the decision tree was compared to visual examination of the appropriate x-rays to verify accuracy. Using this decision tree, patients were classified into subtypes and prevalence of each was calculated to form a phenomics database for future research on genotyping and gene expression. Associations between the subclassifications, mean pre-surgical JPFQ scores, temporomandibular joint (TMJ) clinical examination results (TMD+ or TMD-), and the diagnosis of posterior facial asymmetry (PFA+ or PFA-) were completed. Results: Sixty-two patients were able to fulfill all radiographic requirements to arrive at a diagnosis. Eighteen patients demonstrated facial asymmetry that fell within normal biological variation while the other 44 were diagnosed as having a form of facial asymmetry – Cranial Base Asymmetry: 11 female, 6 male; Non-Condylar Mandibular Asymmetry: 5 female, 3 male; Hemimandibular Elongation: 2 female, 3 male; Maxillary Asymmetry: 3 female, 1 male; Idiopathic Condylar Resorption: 3 female, 1 male; Atypical Asymmetry: 3 female, 1 male; Hemimandibular Hyperplasia: 1 female, 0 male; and Maxillary Base & Mandibular Body Asymmetry: 0 female, 1 male. JPFQ scores for symmetric patients ((x ) ̅= 5.33) and asymmetric patients (x ̅= 4.57) were non-significant overall, however, differences between gender were noted (female symmetric (x ) ̅= 6.13, male symmetric (x ) ̅= 1.33, female asymmetric (x ) ̅= 5.36, male asymmetric (x ) ̅= 3.19). TMD was diagnosed by pre-surgical TMJ examinations and MRIs. Four symmetric patients (3 female, 1 male) were positively diagnosed with TMD while 14 asymmetric patients (11 female, 1 male) also were diagnosed. PFA was diagnosed when nasal septum deviation was greater than 15 degrees – 25⁰ to ≤35⁰: 9 patients; >35⁰ to ≤45⁰: 3 patients; >45⁰: 1 patient. Twenty patients with a positive PFA were asymmetric while the other 8 symmetric. Twenty-one patients with PFA were female while the other 7 were male. Conclusion: A comprehensive diagnostic decision tree for facial asymmetry classification was formulated and validated. With it, it was found that: Females have increased JPFQ scores and clinical diagnosis of TMD versus males. Asymmetric females have decreased JPFQ scores, but increased prevalence of TMD. Presence of PFA does not appear to be a strong influence on development of facial asymmetry but is significantly linked to the presence of TMD. PFA is present in nearly half of all dentofacial deformity subjects. Mandibular asymmetry is most commonly associated with increased JPFQ scores and presence of TMD. However, Hemimandibular Hyperplasia, a particular and less common form of mandibular asymmetry, never associated with TMD. One form of mandibular and mid-facial asymmetry, Atypical Asymmetry, had a relatively high prevalence of TMD. Future directions for this research include continuation of genotypic description of IGF1 and Nodal biologic pathways to determine how gene expression levels in masseter muscle and patient genotypes differ in the eight subclassifications of craniofacial asymmetry compared to the symmetric population. / Oral Biology

Abstract Surgery for ear, nose and throat (ENT) diseases most often aims to improve quality of life (QoL). The extent of having QoL as an outcome in papers included in evidence-based medicine databases is not known. In primary sinonasal surgery, the QoL outcomes and predictors and usability of various QoL instruments need more clarification. The aim was to: 1. Find out with a systematic literature review how the Cochrane database currently includes the QoL dimension. 2. Investigate the effect of primary sinonasal surgery on QoL, to identify predictors of QoL outcomes and to compare QoL instruments. In total 160 adults undergoing primary septoplasty (SP) or endoscopic sinus surgery (ESS) were recruited in 2010–2014 with 206 controls for a prospective matched cohort study. QoL was measured with a disease-specific Sino-Nasal Outcome Test–22 (SNOT–22) and generic RAND–36 before surgery and 12 months after surgery. Retrospective Glasgow Benefit Inventory (GBI) was also used. QoL was an outcome measure in 10% (3 out of 30) of trials included in Cochrane databases on most common ENT surgeries. The use of QoL since the year 2000 has increased. The total SNOT–22 score improved in both patient groups after surgery, almost to the level of the controls, In the SP group (N=64) from 34.9 to 19.1 and in ESS (N=70), from 35.1 to 19.3. The control cohort’s SNOT–22 was 17.7 at entry and after follow-up, 15.3 (N=165). RAND–36 and GBI also improved after surgery. The best predictor for a good QoL outcome in multivariate analysis after surgery was a high preoperative (≥20) SNOT–22 score in the SP and ESS groups (adjusted odds ratio 10; 95% confidence interval 1.6–64 and 12; 2.5–55, respectively). In receiver operating characteristic curve analysis, the highest preoperative SNOT–22 total score of 30 was the most sensitive (74%) and specific (70%). GBI seemed to be the most sensitive instrument to detect a change, but the three instruments in this study agreed in only about 10% of the patients who had the worst impact before surgery or best outcome. The results suggest that papers on the Cochrane databases on ENT surgeries have rarely addressed the QoL outcome. Septal deviation and recurrent acute or chronic rhinosinusitis lowered QoL. Primary surgery on these conditions improved QoL almost to the level of the control population, which was not symptom-free either. A high preoperative SNOT–22 total score was the best predictor of a beneficial outcome. The QoL instruments identified different patients experiencing the best improvement after surgery. / Tiivistelmä Korva-, nenä- ja kurkkutautien (KNK) kirurgia tähtää useimmiten elämänlaadun (EL) parantamiseen. EL:n huomioinnin yleisyys näyttöön perustuvien tietokantojen sisältämissä tutkimuksissa ei ole tiedossa. Primaareissa nenäleikkauksissa EL:n tulokset, ennustekijät ja eri mittareiden käytettävyys kaipaavat lisätietoja. Tarkoituksena oli 1: Tutkia systemaattisella kirjallisuuskatsauksella miten nykyiset Cochrane-suositukset huomioivat EL:n. 2: Tutkia primaarin nenäkirurgian vaikutus EL:uun, tunnistaa EL:n ennustekijöitä ja vertailla eri mittareita. Yhteensä 160 primaariin nenän väliseinäleikkaukseen (VL) tai sivuonteloiden tähystysleikkaukseen (ESS) tulevaa aikuista ja 206 ikä- ja sukupuolivakioitua verrokkia osallistui etenevään kaltaistettuun kohorttitutkimukseen vv. 2010-2014. EL mitattiin tautispesifillä Sino-Nasal Outcome Test -22:lla (SNOT–22) ja yleisellä RAND–36:lla ennen leikkausta ja 12 kk leikkauksen jälkeen. Kolmantena mittarina käytettiin taannehtivaa Glasgow Benefit Inventoryä (GBI). Cochrane-tietokannan yleisimpien KNK-leikkausten tutkimuksista 10 %:ssa (3 30:stä) sisälsi EL-tuloksia. Vuoden 2000 jälkeen EL:n käyttö on lisääntynyt. SNOT–22 kokonaispistemäärä parani VL- ja ESS-ryhmissä lähes kontrollien tasolle, VL-ryhmässä (N=64) 34.9:stä 19.1:een ja ESS-ryhmässä (N=70) 35.1:stä 19.3:een. Kontrollien SNOT–22 oli alussa 17.7 ja seurannan jälkeen 15.3. Myös RAND–36 ja GBI paranivat leikkauksen jälkeen. Monimuuttuja-analyysissä hyvän EL-tuloksen paras ennustetekijä oli korkea leikkausta edeltävä SNOT–22 sekä VL- että ESS-ryhmissä (vakioitu vetokertoimien suhde 10; 95 % luottamusväli 1.6–64 ja 12; 2.5–55, ryhmittäin). ROC (receiver operating characteristic) -käyräanalyysissä leikkausta edeltävä arvo 30 antoi parhaan herkkyyden (74 %) ja tarkkuuden (70 %). GBI vaikutti herkimmältä aistimaan muutoksen, mutta mittarit olivat samaa mieltä vain noin 10%:ssa niistä potilaista, joilla oli huonoin EL ennen leikkausta tai paras tulos leikkauksen jälkeen. Tulosten mukaan Cochrane-tietokannassa olevat KNK-tautien kirurgian tutkimukset ovat ottaneet harvoin elämänlaadun huomioon. Nenän väliseinän vinous ja toistuva äkillinen tai krooninen sivuontelotulehdus laskivat EL:ua. Näiden tautien primaarikirurgia paransi EL:n lähes samalle tasolle kuin kontrolliryhmällä. Korkea leikkausta edeltävä SNOT–22 –kokonaispistemäärä ennusti parhaiten hyvää tulosta. Eri EL-mittarit tunnistivat eri potilaat, jotka hyötyivät parhaiten leikkauksista.

Introdução: A obstrução nasal é um sintoma presente em várias doenças nasais. Este projeto propõe desenvolver uma metodologia para o cálculo da resistência nasal ao fluxo aerífero por meio de fluidodinâmica computacional e comparar os resultados dessa técnica com os da rinomanometria. Métodos: a resistência nasal ao fluxo aerífero foi medida por rinomanometria, experimentalmente e por fluidodinâmica computacional. A influência da segmentação da tomografia computadorizada nas variáveis de fluidodinâmica computacional foi investigada. O modelo computacional de escoamento laminar foi comparado ao modelo de turbulência k-w padrão. Foram analisadas a acurácia, correlação e concordância entre a resistência nasal calculada por fluidodinâmica computacional com aquela obtida por experimento e rinomanometria. Resultados: A resistência nasal provida por fluidodinâmica computacional pode variar até 50% de acordo com os critérios de segmentação da tomografia computadorizada. O modelo de turbulência k-w padrão apresentou acurácia de 93,1%, demonstrando melhor desempenho que o modelo laminar para prever a resistência da cavidade nasal. A correlação entre a vazão em 75Pa obtida por rinomanometria e fluidodinâmica computacional foi alta para ambas as cavidades, Pearson r = 0,75 p < 0,001. Não houve concordância entre a resistência nasal fornecida pelos dois métodos. A resistência nasal por fluidodinâmica computacional é, em média, 65% da resistência por rinomanometria. Conclusão: os critérios para segmentação da cavidade nasal interferem na resistência calculada por fluidodinâmica computacional. A metodologia de fluidodinâmica computacional para calcular a resistência nasal foi validada experimentalmente. O modelo de escoamento turbulento é melhor que o modelo laminar para calcular a resistência nasal. A resistência nasal calculada por fluidodinâmica computacional apresentou alta correlação com a medida por rinomanometria anterior ativa, mas o nível de concordância entre os métodos não permite comparação direta entre os valores obtidos por cada um / Introduction: Nasal obstruction is a symptom present in various nasal diseases. This project proposes to develop a methodology for the calculation of nasal resistance to airflow through computational fluid dynamics and, to compare the results of this technique with those of rhinomanometry. Methods: nasal airflow resistance was measured by rhinomanometry, experimentally and computational fluid dynamics. We investigated the influence of computed tomography segmentation on the computational fluid dynamics variables. The computational model of laminar flow was compared to the kw turbulence model. The accuracy, correlation and agreement between the nasal resistance calculated by computational fluid dynamics was analyzed comparing it with nasal resistance obtained through experiment and rhinomanometry. Results: The nasal resistance provided by computational fluid dynamics can vary up to 50% according to the computed tomography segmentation criteria. The k-w turbulence model showed accuracy of 93.1%, presenting a better performance than the laminar model to predict nasal cavity resistance. The correlation between the flow in 75Pa obtained by rhinomanometry and computational fluid dynamics was high for both cavities, Pearson r >= 0.75 p < 0.001. There was no agreement between nasal resistance provided by the two methods. Nasal resistance due to computational fluid dynamics is, on average, 65% of rhinomanometric resistance. Conclusion: the criteria used for nasal cavity segmentation interfere with the resistance calculated by computational fluid dynamics. The methodology of computational fluid dynamics to calculate nasal resistance was validated experimentally. The turbulent flow model is better than the laminar model to calculate nasal resistance. The nasal resistance calculated by computational fluid dynamics showed a high correlation with the measurement by active rhinomanometry, but the level of agreement between the methods does not allow a direct comparison between the values obtained by each one

Objetivo: Caracterizar a geometria nasal de adultos com obstrução nasal (ON) decorrente de desvio septal (DS) e/ou hipertrofia de conchas (HC) pela análise de áreas seccionais e volumes de segmentos específicos da cavidade nasal por rinometria acústica. Modelo: Estudo prospectivo. Local de Execução: Laboratório de Fisiologia, HRAC-USP e Ambulatório de Otorrinolaringologia, Hospital Estadual Bauru. Participantes: Trinta pacientes com queixa de ON, de ambos os sexos, idade entre 18-40 anos, apresentando DS+HC (n=24), DS (n=5) ou HC (n=1) ao exame clínico. Variáveis: Foram avaliadas as áreas seccionais correspondentes às três primeiras deflexões do rinograma (AST1, AST2, AST3), suas respectivas distâncias em relação às narinas (dAST1, dAST2, dAST3) e os volumes nos segmentos correspondentes a 1,0-3,2cm (V1), 3,3-6,4cm (V2) e 7,0-12,0cm (V3), antes e após a descongestão nasal (DN), utilizando um Rinômetro Acústico Eccovision. Para fins de análise, calculou-se a soma dos valores das cavidades direita e esquerda. Resultados: Antes da DN, os valores médios (±DP) corresponderam a 0,83±0,23cm2(AST1), 1,66±0,52cm2(AST2), 2,36±0,77cm2(AST3), 2,19±0,20cm(dAST1), 4,01±0,33cm(dAST2), 5,85±0,37cm(dAST3), 2,77±0,51cm3(V1), 6,52±1,99cm3(V2), 26,00±9,62cm3(V3). Esses valores foram significantemente menores (p<0,05) que os definidos para adultos sem ON no mesmo laboratório. A DN causou aumentos proporcionalmente maiores de AST e V no grupo com ON, sugerindo a participação de componente funcional. Foram observados 12 casos com resultados normais, apesar da presença de DS e/ou HC. Conclusão: Os resultados obtidos demonstraram, na maioria dos pacientes analisados, significativo comprometimento da patência nasal associado à ON decorrente de alterações estruturais. / Objective: To characterize the nasal geometry of adults with nasal obstruction due to septal deviation and/or turbinate hypertrophy by analyzing sectional areas and volumes of specific segments of the nasal cavity by means of acoustic rhinometry. Design: Prospective study. Setting: Laboratory of Physiology, HRAC-USP and Otorhinolaryngology Clinics, Hospital Estadual Bauru. Participants: Thirty patients with nasal obstruction complaints, of both sexes, aged 18 to 40 years, presenting septal deviation+turbinate hypertrophy (n=24), septal deviation only (n=5) or turbinate hypertrophy only (n=1) on clinical examination. Main Outcome Measures: Sectional areas measured at the three main deflections of the rhinogram (CSA1, CSA2, CSA3), their respective distances from the nostrils (dCSA1, dCSA2, dCSA3) and volumes at the 1.0-3.2cm (V1), 3.3-6.4cm (V2) and 7.0-12.0cm (V3) segments were evaluated, before and after nasal decongestion, by means of an Eccovision Acoustic Rhinometer. For analysis, the values from the right and left cavities were added. Results: Before nasal decongestion, mean values (±SD) obtained corresponded to 0.83±0.23cm2(CSA1), 1.66±0.52cm2(CSA2), 2.36±0.77cm2(CSA3), 2.19±0.20cm(dCSA1), 4.01±0.33cm(dCSA2), 5.85±0.37cm(dCSA3), 2.77±0.51cm3(V1), 6.52±1.99cm3(V2), 26.00±9.62cm3(V3). These values were significantly lower (p<0.05) than those set for adults without obstruction at the same laboratory. Decongestion caused CSA and V increases proportionally higher in the group with nasal obstruction, suggesting the involvement of a functional component. Twelve cases presented normal results, despite the presence of septal deviation and/or turbinate hypertrophy. Conclusion: The results showed, in most patients analyzed, significant impairment of nasal patency associated with nasal obstruction due to structural defects.

Introdução: A obstrução nasal é um sintoma presente em várias doenças nasais. Este projeto propõe desenvolver uma metodologia para o cálculo da resistência nasal ao fluxo aerífero por meio de fluidodinâmica computacional e comparar os resultados dessa técnica com os da rinomanometria. Métodos: a resistência nasal ao fluxo aerífero foi medida por rinomanometria, experimentalmente e por fluidodinâmica computacional. A influência da segmentação da tomografia computadorizada nas variáveis de fluidodinâmica computacional foi investigada. O modelo computacional de escoamento laminar foi comparado ao modelo de turbulência k-w padrão. Foram analisadas a acurácia, correlação e concordância entre a resistência nasal calculada por fluidodinâmica computacional com aquela obtida por experimento e rinomanometria. Resultados: A resistência nasal provida por fluidodinâmica computacional pode variar até 50% de acordo com os critérios de segmentação da tomografia computadorizada. O modelo de turbulência k-w padrão apresentou acurácia de 93,1%, demonstrando melhor desempenho que o modelo laminar para prever a resistência da cavidade nasal. A correlação entre a vazão em 75Pa obtida por rinomanometria e fluidodinâmica computacional foi alta para ambas as cavidades, Pearson r = 0,75 p < 0,001. Não houve concordância entre a resistência nasal fornecida pelos dois métodos. A resistência nasal por fluidodinâmica computacional é, em média, 65% da resistência por rinomanometria. Conclusão: os critérios para segmentação da cavidade nasal interferem na resistência calculada por fluidodinâmica computacional. A metodologia de fluidodinâmica computacional para calcular a resistência nasal foi validada experimentalmente. O modelo de escoamento turbulento é melhor que o modelo laminar para calcular a resistência nasal. A resistência nasal calculada por fluidodinâmica computacional apresentou alta correlação com a medida por rinomanometria anterior ativa, mas o nível de concordância entre os métodos não permite comparação direta entre os valores obtidos por cada um / Introduction: Nasal obstruction is a symptom present in various nasal diseases. This project proposes to develop a methodology for the calculation of nasal resistance to airflow through computational fluid dynamics and, to compare the results of this technique with those of rhinomanometry. Methods: nasal airflow resistance was measured by rhinomanometry, experimentally and computational fluid dynamics. We investigated the influence of computed tomography segmentation on the computational fluid dynamics variables. The computational model of laminar flow was compared to the kw turbulence model. The accuracy, correlation and agreement between the nasal resistance calculated by computational fluid dynamics was analyzed comparing it with nasal resistance obtained through experiment and rhinomanometry. Results: The nasal resistance provided by computational fluid dynamics can vary up to 50% according to the computed tomography segmentation criteria. The k-w turbulence model showed accuracy of 93.1%, presenting a better performance than the laminar model to predict nasal cavity resistance. The correlation between the flow in 75Pa obtained by rhinomanometry and computational fluid dynamics was high for both cavities, Pearson r >= 0.75 p < 0.001. There was no agreement between nasal resistance provided by the two methods. Nasal resistance due to computational fluid dynamics is, on average, 65% of rhinomanometric resistance. Conclusion: the criteria used for nasal cavity segmentation interfere with the resistance calculated by computational fluid dynamics. The methodology of computational fluid dynamics to calculate nasal resistance was validated experimentally. The turbulent flow model is better than the laminar model to calculate nasal resistance. The nasal resistance calculated by computational fluid dynamics showed a high correlation with the measurement by active rhinomanometry, but the level of agreement between the methods does not allow a direct comparison between the values obtained by each one