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INTRODUCTION: The study of facial profiles in the dental field is very important for the diagnosis and the dental and orthodontic treatment plan. The aim of this study is to analyze the three-dimensional morphology of the faces of 269 growing patients with Class I and II occlusions, focusing on children aged between 6 and 9 years old. The analysis was conducted using a non-invasive computerized system, which allowed for the automatic collection of facial landmarks and the subsequent reconstruction of three-dimensional coordinates. MATERIALS AND METHODS: The sample comprised 269 children within the specified age range. Each child's facial features were captured using the non-invasive computerized system, which utilized two infrared CCD cameras, real-time hardware for label recognition, and software for three-dimensional landmark reconstruction. Sixteen cutaneous facial landmarks were automatically collected for each participant. From these landmarks, 10 angular and 15 linear measurements, as well as five direct distance rates, were derived. The mean values for each age class were calculated separately for children with bilateral Angle Class I occlusion and compared with those for children with bilateral Class II occlusion. In all children, the left and right occlusal classes were measured as suggested by Katz. RESULTS: The analysis revealed notable differences, primarily in the three-dimensional angular measurements between children with Class I and II occlusions. Specifically, Class II children exhibited more convex faces in the sagittal plane and a less prominent lower jaw compared to Class I children. However, no significant differences were observed in linear measurements, except for the lower facial height rate, which varied inconsistently across age groups between the two occlusion types. DISCUSSION AND CONCLUSIONS: the findings of this research highlight distinct three-dimensional facial morphological differences between children with Class I and II occlusions. While Class II children tended to have more convex facial profiles and less prominent lower jaws, linear measurements showed minimal variation between the two occlusion types. These results underscore the importance of three-dimensional analysis in understanding facial morphology in growing patients with different occlusal patterns.
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PURPOSE: This pilot study aimed to assess the relationship between bite force variation and dental arch and facial shape using geometric morphometrics, an advanced method of statistical analysis that provides a detailed shape analysis of a structure considering the spatial relationship of its parts. METHODS: The sample consisted of 16 German adult men and women. For each individual, maximum bite force was recorded in four positions: maximum intercuspation, protrusion, laterotrusion to the right and to the left. Facial and three-dimensional (3D) dental reconstructions were obtained from 3D facial photographs and 3D scans of dental stone models. A total of 51 landmarks were placed. General shape variation was assessed by principal component analysis. Partial least squares analyses were performed to evaluate the covariation between bite force, facial shape, and dental shape. RESULTS: There was no clear pattern or statistically significant covariation between our variables. CONCLUSIONS: Our results suggest a weak relationship between bite force, dental arch, and facial shape. Considering previous work in this field, we propose that low masticatory loads, characteristic in Western urban populations, may explain this. Further studies should, therefore, address this issue, taking into account effect size, the mechanical properties of the diet, and other relevant variables.
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Human migration is an increasingly common phenomenon and migrants are at risk of disadvantageous treatment. We reasoned that migrants may receive differential treatment by locals based on the closeness of their facial features to the host average. Residents of Türkiye, the country with the largest number of refugees currently, served as participants. Because many of these refugees are of Arabic origin, we created target facial stimuli varying along the axis connecting Turkish and Arabic morphological prototypes (excluding skin colour) computed using geometric morphometrics and available databases. Participants made judgements of two universal dimensions of social perception-warmth and competence-on these faces. We predicted that participants judging faces manipulated towards the Turkish average would provide higher warmth and competence ratings compared to judging the same faces manipulated towards the Arabic average. Bayesian statistical tools were employed to estimate parameter values in multilevel models with intercorrelated varying effects. The findings did not support the prediction and revealed raters (as well as target faces) to be an important source of variation in social judgements. In the absence of simple cues (e.g. skin colour, group labels), the effect of facial morphology on social judgements may be much more complex than previously assumed.
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SUMMARY: To diagnose obstructive sleep apnea syndrome (OSAS), polysomnography is used, an expensive and extensive study requiring the patient to sleep in a laboratory. OSAS has been associated with features of facial morphology, and a preliminary diagnosis could be made using an artificial intelligence (AI) predictive model. This study aimed to analyze, using a scoping review, the AI-based technological options applied to diagnosing OSAS and the parameters evaluated in such analyses on craniofacial structures. A systematic search of the literature was carried out up to February 2024, and, using inclusion and exclusion criteria, the studies to be analyzed were determined. Titles and abstracts were independently selected by two researchers. Fourteen studies were selected, including a total of 13,293 subjects analyzed. The age of the sample ranged from 18 to 90 years. 9,912 (74.56 %) subjects were male, and 3,381 (25.43 %) were female. The included studies presented a diagnosis of OSAS by polysomnography; seven presented a control group of subjects without OSAS and another group with OSAS. The remaining studies presented OSAS groups in relation to their severity. All studies had a mean accuracy of 80 % in predicting OSAS using variables such as age, gender, measurements, and/or imaging measurements. There are no tests before diagnosis by polysomnography to guide the user in the likely presence of OSAS. In this sense, there are risk factors for developing OSA linked to facial shape, obesity, age, and other conditions, which, together with the advances in AI for diagnosis and guidance in OSAS, could be used for early detection.
Para diagnosticar el Síndrome Apnea Obstructiva del Sueño (SAOS) se utiliza la polisomnografía, el cual es un costoso y extenso estudio que exige que el paciente duerma en un laboratorio. El SAOS ha sido asociado con características de la morfología facial y mediante un modelo predictivo de la Inteligencia Artificial (IA), se podría realizar un diagnóstico preliminar. El objetivo de este estudio fue analizar por medio de una revisión de alcance, las opciones tecnológicas basadas en IA aplicadas al diagnóstico del SAOS, y los parámetros evaluados en dichos análisis en las estructuras craneofaciales. Se realizó una búsqueda sistemática de la literatura hasta febrero del 2024 y mediante criterios de inclusión y exclusión se determino los estudios a analizar. Los títulos y resúmenes fueron seleccionados de forma independiente por dos investigadores. Se seleccionaron 14 estudios, incluyeron un total de 13.293 sujetos analizados. El rango edad de la muestra oscilo entre 18 y 90 años. 9.912 (74.56 %) sujetos eran de sexo masculino y 3.381 (25,43 %) eran de sexo femenino. Los estudios incluidos presentaron diagnóstico de SAOS mediante polisomnografía, siete estudios presentaron un grupo control de sujetos con ausencia de SAOS y otro grupo con presencia de SAOS. Mientras que los demás estudios, presentaron grupos de SAOS en relación con su severidad. Todos los estudios tuvieron una precisión media del 80 % en la predicción de SAOS utilizando variables como la edad, el género, mediciones y/o mediciones imagenológicas. no existen exámenes previos al diagnóstico por polisomnografía que permitan orientar al usuario en la probable presencia de SAOS. En este sentido, existen factores de riesgo para desarrollar SAOS vinculados a la forma facial, la obesidad, la edad y otras condiciones, que sumados a los avances con IA para diagnóstico y orientación en SAOS podrían ser utilizados para la detección precoz del mismo.
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Humanos , Inteligência Artificial , Apneia Obstrutiva do Sono/diagnóstico , Face/anatomia & histologiaRESUMO
Facial morphology, a complex trait influenced by genetics, holds great significance in evolutionary research. However, due to limited fossil evidence, the facial characteristics of Neanderthals and Denisovans have remained largely unknown. In this study, we conducted a large-scale multi-ethnic meta-analysis of the genome-wide association study (GWAS), including 9674 East Asians and 10,115 Europeans, quantitatively assessing 78 facial traits using 3D facial images. We identified 71 genomic loci associated with facial features, including 21 novel loci. We developed a facial polygenic score (FPS) that enables the prediction of facial features based on genetic information. Interestingly, the distribution of FPSs among populations from diverse continental groups exhibited relevant correlations with observed facial features. Furthermore, we applied the FPS to predict the facial traits of seven Neanderthals and one Denisovan using ancient DNA and aligned predictions with the fossil records. Our results suggested that Neanderthals and Denisovans likely shared similar facial features, such as a wider but shorter nose and a wider endocanthion distance. The decreased mouth width was characterized specifically in Denisovans. The integration of genomic data and facial trait analysis provides valuable insights into the evolutionary history and adaptive changes in human facial morphology.
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Given the shared ectodermal origin and integrated development of the face and the brain, facial biomarkers emerge as potential candidates to assess vulnerability for disorders in which neurodevelopment is compromised, such as schizophrenia (SZ) and bipolar disorder (BD). The sample comprised 188 individuals (67 SZ patients, 46 BD patients and 75 healthy controls (HC)). Using a landmark-based approach on 3D facial reconstructions, we quantified global and local facial shape differences between SZ/BD patients and HC using geometric morphometrics. We also assessed correlations between facial and brain cortical measures. All analyses were performed separately by sex. Diagnosis explained 4.1 % - 5.9 % of global facial shape variance in males and females with SZ, and 4.5 % - 4.1 % in BD. Regarding local facial shape, we detected 43.2 % of significantly different distances in males and 47.4 % in females with SZ as compared to HC, whereas in BD the percentages decreased to 35.8 % and 26.8 %, respectively. We detected that brain area and volume significantly explained 2.2 % and 2 % of facial shape variance in the male SZ - HC sample. Our results support facial shape as a neurodevelopmental marker for SZ and BD and reveal sex-specific pathophysiological mechanisms modulating the interplay between the brain and the face.
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Transtorno Bipolar , Encéfalo , Esquizofrenia , Caracteres Sexuais , Humanos , Transtorno Bipolar/patologia , Masculino , Esquizofrenia/patologia , Feminino , Adulto , Encéfalo/diagnóstico por imagem , Encéfalo/patologia , Face , Biomarcadores , Pessoa de Meia-Idade , Imageamento por Ressonância Magnética , Adulto JovemRESUMO
Facial reproduction validation uses the methodology typical of forensic anthropology to confirm the accuracy of three-dimensional reproductions of faces. Achieving high accuracy in virtual facial reproductions is still under study. In the present paper, the Tenchini collection, which contains wax reproductions of prisoners' faces and their skulls, was used. By creating facial reproductions on skulls from this collection, the result was compared with the real face of the person to whom the skull belongs. The three-dimensional volume of each examined skull of Tenchini collection was acquired via CT scan and photogrammetry. Subsequently, the virtual reproduction of each skull was processed using three-dimensional graphics software (ZBrush, Pixologic®). The morphological comparison parameters used in the field of personal identification by forensic anthropology were used. The blind procedure required the operator to see the mask subsequent to the facial reproduction phase, so that the facial reproduction cannot exploit the information that knowledge of the mask would have produced. The parameters used in the study of facial reproductions have shown discrepancies between the characteristics of the masks and the facial reproductions, partly expected because due to the lack of soft tissue on the skull. However, a high degree of accuracy in the facial reproductions performed due to the applied methodology was documented. The present study allowed us to observe how these parameters can be useful to study the accuracy of facial reproduction and identify what difficulties are encountered in producing a result close to the real appearance.
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Phenotypic diversity, especially that of facial morphology, has not been fully investigated in the Han Chinese, which is the largest ethnic group in the world. In this study, we systematically analyzed a total of 14,838 facial traits representing 15 categories with both a large-scale three-dimensional (3D) manual landmarking database and computer-aided facial segmented phenotyping in 2379 Han Chinese individuals. Our results illustrate that homogeneous and heterogeneous facial morphological traits exist among Han Chinese populations across the three geographical regions: Zhengzhou, Taizhou, and Nanning. We identified 1560 shared features from extracted phenotypes, which characterized well the basic facial morphology of the Han Chinese. In particular, heterogeneous phenotypes showing population structures corresponded to geographical subpopulations. The greatest facial variation among these geographical populations was the angle of glabella, left subalare, and right cheilion (p = 3.4 × 10-161). Interestingly, we found that Han Chinese populations could be classified into northern Han, central Han, and southern Han at the phenotypic level, and the facial morphological variation pattern of central Han Chinese was between the typical differentiation of northern and southern Han Chinese. This result was highly consistent with the results revealed by the genetic data. These findings provide new insights into the analysis of multidimensional phenotypes as well as a valuable resource for further facial phenotype-genotype association studies in Han Chinese and East Asian populations. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-023-00109-x.
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Forensic Facial Approximation (FFA) has evolved, with techniques advancing to refine the intercorrelation between the soft-tissue facial profile and the underlying skull. FFA has become essential for identifying unknown persons in South Africa, where the high number of migrant and illegal labourers and many unidentified remains make the identification process challenging. However, existing FFA methods are based on American or European standards, rendering them inapplicable in a South African context. We addressed this issue by conducting a study to create prediction models based on the relationships between facial morphology and known factors, such as population affinity, sex, and age, in white South African and French samples. We retrospectively collected 184 adult cone beam computed tomography (CBCT) scans representing 76 white South Africans (29 males and 47 females) and 108 French nationals (54 males and 54 females) to develop predictive statistical models using a projection onto latent structures regression algorithm (PLSR). On training and untrained datasets, the accuracy of the estimated soft-tissue shape of the ears, eyes, nose, and mouth was measured using metric deviations. The predictive models were optimized by integrating additional variables such as sex and age. Based on trained data, the prediction errors for the ears, eyes, nose, and mouth ranged between 1.6â¯mm and 4.1â¯mm for white South Africans; for the French group, they ranged between 1.9â¯mm and 4.2â¯mm. Prediction errors on non-trained data ranged between 1.6â¯mm and 4.3â¯mm for white South Africans, whereas prediction errors ranging between 1.8â¯mm and 4.3â¯mm were observed for the French. Ultimately, our study provided promising predictive models. Although the statistical models can be improved, the inherent variability among individuals restricts the accuracy of FFA. The predictive validity of the models was improved by including sex and age variables and considering population affinity. By integrating these factors, more customized and accurate predictive models can be developed, ultimately strengthening the effectiveness of forensic analysis in the South African region.
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Tomografia Computadorizada de Feixe Cônico , Face , Antropologia Forense , Humanos , Masculino , Feminino , Face/anatomia & histologia , Face/diagnóstico por imagem , Adulto , Estudos Retrospectivos , Antropologia Forense/métodos , África do Sul , Pessoa de Meia-Idade , Adulto Jovem , População Branca , Modelos Estatísticos , França , Algoritmos , Imageamento Tridimensional , Idoso , AdolescenteRESUMO
OBJECTIVE: To determine if the elastic chain premaxillary retraction (ECPR) appliance increases inter-medial and inter-lateral canthal dimension in patients with bilateral complete cleft lip and palate (BCLP). DESIGN: Retrospective cohort study. SETTING: Specialized tertiary care facility. PATIENTS, PARTICIPANTS: 126 patients with BCLP; 75 had ECPR, 51 had no pre-surgical manipulation. INTERVENTIONS: Three-dimensional facial photographs were obtained prior to insertion of appliance (T0), post-appliance therapy prior to appliance removal/labial repair (T1), and several months after labial repair (T2) for a longitudinal ECPR group, and were obtained after age 4 years (T3) for a non-longitudinal ECPR group and for the non-ECPR group. MAIN OUTCOME MEASURES: Inter-medial and inter-lateral canthal dimension (en-en, ex-ex) was determined for all groups/time-points. Measurements were compared between groups and to norms. RESULTS: The mean en-en and ex-ex was 32.6 ± 3.2â mm and 84.4 ± 6.3â mm for the ECPR group and 33.5 ± 3.1â mm and 86.7 ± 7.2â mm for the non-ECPR group at T3. Inter-medial and inter-lateral canthal dimensions were significantly greater than normal (P < .05) in both groups; there was no significant difference between groups (P > .05). The mean en-en and ex-ex for the Longitudinal ECPR group was 27.5 ± 2.4â mm and 66.7 ± 3.7â mm at T0, 29.6 ± 2.4â mm and 70.4 ± 2.9â mm at T1, and 29.2 ± 2.3â mm and 72.3 ± 3.8â mm at T2. en-en and ex-ex increased significantly from T0-T1 (P < .05), decreased at T2 (P > .05) and was significantly larger than normal at all time-points (P < .05). CONCLUSIONS: Inter-medial and inter-lateral canthal dimension increased after ECPR but returned to baseline growth trajectory. These dimensions were above normal at all time-points. There was no difference between those that did and did not have dentofacial orthopedic manipulation.
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Ankyloblepharon filiforme adnatum (AFA) is a rare, benign congenital anomaly. Notably, it is characterized by the adhesion of the ciliary edges of the upper and lower eyelids at the trabecular line. AFA is usually a solitary malformation of sporadic occurrence; however, it can occur in conjunction with other congenital diseases. Herein, we report a case of cleft lip with AFA. A patient was referred to the ophthalmology department of our hospital. The ophthalmic diagnosis was AFA in both the eyes. The left eye was observed to have a fibrous adhesion in the center, and she underwent surgery to excise the fibrous adhesion of tissue with scissors. The right eye was observed to have a fibrous adhesion in the external canthus and was excised during lip plasty. After surgery, her eyes were able to fully open, and no other apparent disease was diagnosed. AFA is thought to be caused by an ectodermal-derived developmental abnormality. Notably, cases of AFA with a cleft lip are rare. Diagnosis and surgery should be performed promptly to minimize any risk of amblyopia and for the early detection of congenital diseases, including glaucoma.
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Fenda Labial , Fissura Palatina , Anormalidades do Olho , Anormalidades da Boca , Humanos , Feminino , Fenda Labial/cirurgia , Fenda Labial/diagnóstico , Fissura Palatina/cirurgia , Fissura Palatina/diagnóstico , Anormalidades do Olho/diagnóstico , Anormalidades do Olho/cirurgia , Aderências TeciduaisRESUMO
What is race? And how does it figure in different scientific practices? To answer these questions, I suggest that we need to know race differently. Rather than defining race or looking for one conclusive answer to what it is, I propose methods that are open-ended, that allow us to follow race around, while remaining curious as to what it is. I suggest that we pursue generous methods. Drawing on empirical examples of forensic identification technologies, I argue that the slipperiness of race-the way race and its politics inexorably shift and change-cannot be fully grasped as an 'object multiple'. Race, I show, is not race: The same word refers to different phenomena. To grasp this, I introduce the notion of the affinity concept. Drawing on the history of race, along with contemporary work in forensic genetics, the affinity concept helps us articulate how race indexes three different scientific realities: race as object, race as method, and race as theory. These three different, yet interconnected realities, contribute to race's slipperiness as well as its virulence.
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Artificial intelligence (AI) has been utilized in soft-tissue analysis and prediction in orthodontic treatment planning, although its reliability has not been systematically assessed. This scoping review was conducted to outline the development of AI in terms of predicting soft-tissue changes after orthodontic treatment, as well as to comprehensively evaluate its prediction accuracy. Six electronic databases (PubMed, EBSCOhost, Web of Science, Embase, Cochrane Library, and Scopus) were searched up to March 14, 2023. Clinical studies investigating the performance of AI-based systems in predicting post-orthodontic soft-tissue alterations were included. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) and Joanna Briggs Institute (JBI) appraisal checklist for diagnostic test accuracy studies were applied to assess risk of bias, while the Grading of Recommendation, Assessment, Development, and Evaluation (GRADE) assessment was conducted to evaluate the certainty of outcomes. After screening 2500 studies, four non-randomized clinical trials were finally included for full-text evaluation. We found a low level of evidence indicating an estimated high overall accuracy of AI-generated prediction, whereas the lower lip and chin seemed to be the least predictable regions. Furthermore, the facial morphology simulated by AI via the fusion of multimodality images was considered to be reasonably true. Since all of the included studies that were not randomized clinical trials (non-RCTs) showed a moderate to high risk of bias, more well-designed clinical trials with sufficient sample size are needed in future work.
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Inteligência Artificial , Reprodutibilidade dos TestesRESUMO
OBJECTIVE: The severity of craniofacial microsomia (CFM) is generally classified using the Orbit, Mandible, Ear, Soft tissue, Nerve (OMENS) classification score. The global assessment of the Phenotypic Assessment Tool for Craniofacial Microsomia (PAT-CFM), is a pictorial modification of the OMENS classification. The aim of this study was to assess the interrater reliability of the PAT-CFM global assessment score. DESIGN: In this prospective cohort study, three clinicians completed the global assessment form of the PAT-CFM. The mandible was classified based on orthopantomogram- and/or computed tomography images. PARTICIPANTS: Consecutive patients with CFM or microtia.Interrater agreement was calculated using the weighted Krippendorff alpha (α), with 95% confidence intervals (CI). RESULTS: In total, 53 patients were included (106 hemifaces). The reliabilities of the main classification components ranged from high for the mandible (α = 0.904 [95% CI 0.860-0.948]) and ear (α = 0.958 [95% CI 0.934-0.983]) subscales, to tentative for the orbital summary score (α = 0.682 [0.542-0.821]), and nerve summary score (α = 0.782 [0.666-0.900]) subscales. CONCLUSIONS: The reliability of the ear and radiographic mandible scales of the PAT-CFM global classification were high, while the orbit, facial nerve and soft tissue subscales may have limited reliability. Research focusing on radiographic severity scores for hypoplasia of the orbits and soft tissues, as well as objective measures for overall facial hypoplasia using non-ionizing forms of imaging for early classification, are warranted.
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OBJECTIVE: Objective measurement of pre-operative severity is important to optimize evidence-based practices given that the wide spectrum of presentation likely influences outcomes. The purpose of this study was to determine the correlation of objective measures of form with a subjective standard of cleft severity. DESIGN: 3D images were ranked according to severity of nasal deformity by 7 cleft surgeons so that the mean rank could be used as the severity standard. PATIENTS: 45 patients with unilateral cleft lip and 5 normal control subjects. INTERVENTIONS: Each image was assessed using traditional anthropometric analysis, 3D landmark displacements, and shape-based analysis to produce 81 indices for each subject. MAIN OUTCOME: The correlation of objective measurements with the clinical severity standard. RESULTS: Lateral deviation of subnasale from midline was the best predictor of severity (0.86). Other strongly-correlated anthropometric measurements included columellar angle, nostril width ratio, and lateral lip height ratio (0.72, 0.80, 0.79). Almost all shape-based measurements had tight correlation with the severity standard, however, dorsum deviation and point difference nasolabial symmetry were the most predictive (0.84, 0.82). CONCLUSIONS: Quantitative measures of severity transcend cleft type and can be used to grade clinical severity. Lateral deviation of subnasale was the best measure of severity and may be used as a surrogate of uncoupled premaxillary growth; it should be recorded as an index of pre-operative severity with every cleft lip repair. The correlation of other measures evaluated clarify treatment priorities and could potentially be used to grade outcomes.
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This retrospective cross-sectional study reviewed adult patients with unrepaired SMCP, OCP and normal control and performed comprehensive skeletal and soft tissue morphological analyses basing on lateral cephalometric radiographs. One way-ANOVA and rank-sum tests detected potential intergroup differences. 32 subjects with unrepaired SMCP, 42 with unrepaired OCP and 28 noncleft normal controls were enrolled. Both the SMCP and OCP groups were significantly different from the normal controls in sagittal maxillary length, jaw relationship, facial profile angle, nasal base and nasal tip prominence, upper lip position, and lower lip protrusion. S-N-A angle in the control group (82.25 ± 2.74°) was significantly greater than in the SMCP (77.96 ± 4.05°, p<0.001) and OCP (78.55 ± 2.93°, p<0.001) groups. Nasolabial angle in the control group (99.18 ± 8.76°) was significantly greater than in the SMCP (91.75 ± 8.93°, p = 0.002) and OCP (93.69 ± 7.24°, p = 0.020) groups. No significant difference was detected between the SMCP and the OCP group in other measurements except upper facial height. Within the limitations of the study it seems that craniofacial growth is impaired in patients with submucous clefts to the same extent as in patients with a conventional cleft palate.
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Fenda Labial , Fissura Palatina , Humanos , Adulto , Fissura Palatina/diagnóstico por imagem , Fissura Palatina/cirurgia , Estudos Retrospectivos , Estudos Transversais , Cefalometria , Fenda Labial/cirurgiaRESUMO
Artificial intelligence (AI) has been utilized in soft-tissue analysis and prediction in orthodontic treatment planning, although its reliability has not been systematically assessed. This scoping review was conducted to outline the development of AI in terms of predicting soft-tissue changes after orthodontic treatment, as well as to comprehensively evaluate its prediction accuracy. Six electronic databases (PubMed, EBSCOhost, Web of Science, Embase, Cochrane Library, and Scopus) were searched up to March 14, 2023. Clinical studies investigating the performance of AI-based systems in predicting post-orthodontic soft-tissue alterations were included. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) and Joanna Briggs Institute (JBI) appraisal checklist for diagnostic test accuracy studies were applied to assess risk of bias, while the Grading of Recommendation, Assessment, Development, and Evaluation (GRADE) assessment was conducted to evaluate the certainty of outcomes. After screening 2500 studies, four non-randomized clinical trials were finally included for full-text evaluation. We found a low level of evidence indicating an estimated high overall accuracy of AI-generated prediction, whereas the lower lip and chin seemed to be the least predictable regions. Furthermore, the facial morphology simulated by AI via the fusion of multimodality images was considered to be reasonably true. Since all of the included studies that were not randomized clinical trials (non-RCTs) showed a moderate to high risk of bias, more well-designed clinical trials with sufficient sample size are needed in future work.
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Human face is a highly heritable and complex trait. Many genome-wide analyses have identified genetic variants influencing facial morphology. Genome-wide association studies (GWASs) investigating facial morphologies of different populations provide a comprehensive insight into the genetic basis of the human face. Here, we report a GWAS of normal facial variation in Koreans using an array optimized for the Korean population (KoreanChip). We found that novel genetic variants encompassing four loci reached the genome-wide significance threshold. They include LOC107984547, UBE2O, TPK1, and LINC01148 loci associated with facial angle, brow ridge protrusion, nasal height, and eyelid curvature. Our results also validated previously published genetic loci, including FAT4, SOX9, and TBX3 loci. All confirmed genetic variants showed phenotypic differences involving each facial trait based on the effect of the minor allele. The present study highlights genetic signals associated with normal human facial variation and provides candidates for functional studies. Key points: GWAS of normal facial variation in the Korean population was conducted using a Korean genome chip.Previously reported genetic signals associated with FAT4, SOX9, and TBX3 loci were replicated in the Korean populations.Genetic signals in UBE2O and TPK1 loci were identified as novel variants for corresponding facial features.
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Facial morphology is known to be influenced by genetic and environmental factors. Scientific evidence regarding facial parameters in patients with posterior crossbite is lacking. This study aimed to investigate the association between posterior crossbite and facial parameters. This cross-sectional study included 34 adolescents with and 34 adolescents without posterior crossbite in the age range from 13 to 15 years. Facial surface scans were acquired with a 3dMD imaging system, and landmark-based analysis was performed. Data were analyzed using the Mann-Whitney U test and Spearman's correlations. Individuals in the control group had lower face heights (females: p = 0.003, r = 0.45; males: p = 0.005, r = 0.57). The control group females presented with smaller intercanthal width (p = 0.04; r = 0.31) and anatomical nose width (p = 0.004; r = 0.43) compared with the crossbite group females. The males in the control group had wider nostrils. In the control group, significant correlations among different facial parameters were more common, including the correlations between eye width and other transversal face measurements. On the contrary, the facial width was correlated with nasal protrusion (r = 0.657; p < 0.01) and the morphological width of the nose (r = 0.505; p < 0.05) in the crossbite group alone. In both groups, the philtrum width was linked with the anatomical and morphological widths of the nose. Conclusions: Patients with posterior crossbites have increased face height and different patterns of facial proportions compared with individuals without crossbites.
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The diversity of patients pursuing facial aesthetic and facial gender-affirming surgery (FGAS) is increasing, yet there is a paucity of objective guidelines to facilitate surgical decision-making in patients of color. We conducted a quantitative analysis of black celebrities using standardized frontal photos of 21 female and 21 male celebrities. Celebrities were chosen from popular entertainment magazines and websites, including People Magazine, the Internet Movie Database (IMDb), Cosmopolitan, and Essence. For each celebrity, 100 facial landmarks were detected through a facial analysis artificial intelligence (AI) program. Black males had greater facial height, bizygomatic width, lower facial height, and bigonial width than females. However, the facial height to bigonial width ratio was similar between genders and approximated the golden ratio (1.618). Female faces demonstrated a greater mid-face height to total facial height proportion, and males had a greater lower facial height proportion. Females exhibited an upward-slanted medial brow and shorter total eyebrow length, nose height, and alar width. Forehead height above the lateral brow was greater in males, while central forehead height was similar to females. This is the first study that has utilized AI to provide ethnicity-specific facial morphometrics relevant to facial rejuvenation and FGAS in the black population.