Background A functional appliance is commonly used to optimize the development of the facial skeleton in the treatment of Class II malocclusion. Recent three-dimensional(3D) image-based analysis offers numerous advantages in quantitative measurement and visualization in orthodontics. The aim of this study was to localize in 3D the skeletal effect produced by the Herbst appliance on the mandible using the geometric morphometric technique. Methods Twenty patients treated with a Herbst appliance and subsequent fixed appliances were included. Cone-beam computed tomography (CBCT) images were taken before treatment (T1), 8 weeks after Herbst appliance removal (T2), and after subsequent fixed appliance treatment (T3). Spatially dense morphometric techniques were used to establish the corresponding points of the mandible. The mandibular morphological changes from T1-T2, T2-T3, and T1-T3 were calculated for each patient by superimposing two mandibular models at two time points with robust Procrustes superimposition. These changes were then compared to the morphological changes estimated from normative mandibular growth curves over the same period. The proportion of cases exceeding the growth expression for controls was compared to a normal population using a one tailed binomial test. Results Approximately 1.5–2 mm greater condylar changes and 0.5 mm greater changes in the chin occurred from Tl to T2. This effect lasted until the completion of treatment (T1-T3), but there was no obvious skeletal effect during the orthodontic phase (T2-T3). Approximately 40–50% of the patient sample exceeded condylar growth by > 1.5 mm compared to untreated controls ( p < .05). However, changes at the chin were not statistically significant. Conclusions The principal skeletal effect of Herbst appliance treatment was additional increase in condylar length for about half of the sample. This inconsistency may relate to the degree of mandibular growth suppression associated with a specific malocclusion.

Objectives: The aim of the present study was to use Fourier analysis to quantify and study age-related changes in midsagittal facial profile. Materials and methods: Midsagittal facial profiles were extracted as lists of x and y coordinates from 125 pairs of 3D facial scans captured at an average of 10.5 years apart for adult Japanese males aged 23-52 years. These were categorized into three 10-year-long age groups. Files of x and y coordinates underwent Fourier analysis at 30 harmonic levels. Paired t-tests were used to determine statistical significance of differences across corresponding harmonic coefficients. Mean harmonic coefficients were used to construct mean pre and post ageing profiles for each age group for qualitative comparisons. Results: Full detail of facial profile was described by the first 20 harmonics. With increasing age, there was a trend of longitudinal changes involving more midsagittal shape features with increased magnitudes. However, all changes were lower than 1 mm. Conclusions: Fourier analysis is a useful morphometric approach to quantify age-related midsagittal facial changes. The small variations in the study groups prompt for testing Fourier analysis on the elderly and on other parasagittal and transverse facial features. (C) 2019 Elsevier B.V. All rights reserved.

Age-related bone diseases, such as osteoporosis (OP), have a detrimental impact on individuals and society. One in ten people who suffer an osteoporotic hip fracture will die soon after the event, and at least a further 50% will suffer from chronic debility and deterioration in their quality of life. The cost of hip fractures to the Australian community (a relatively small population of only 24million people) was estimated at AUD$600 million in 2017 and the situation continues to get rapidly worse as the population ages. In order to address this problem bone research has pursued several avenues to better understand age-related changes of the skeleton and the effects of therapeutic interventions. Advances in imaging technologies combined with computational modeling has the potential to provide new insights into disease etiology and predicting effects of various therapeutic interventions. While longitudinal dual X-ray absorptiometry (DXA) imaging has been the gold standard for assessment of OP and effectiveness of drug treatments, it does not provide detailed three-dimensional information on structural morphology and material properties. Significant progress of current understanding of age-related changes in cortical bone has been made using cross-sectional studies, analyzing human post-mortem femoral specimen. Particularly, the Melbourne Femur Research Collection (MFRC), a collection of > 600 human femoral samples including males and females from across the lifespan (20–95 years). This collection is one of the most comprehensive collections currently available representing a contemporary, economically developed Western society. The MFRC has also acted as a catalyst for many research collaborations in the bone field across the world. This article first reviews how the MFRC was originally established and summarizes past and current collaborations. Secondly, we provide a summary on findings of structural changes of cortical bone with age with emphasis on changes in vascular porosity and bone specific surface. Thirdly, we provide an overview on changes in material properties with age with focus on spatial and temporal changes of bone tissue mineral density. Finally, we provide a summary and outlook of latest in-vivo imaging techniques which may pave the way to a more holistic understanding of age-related bone diseases and how to access the MFRC for future research.

The aim of the present study was to introduce a quantitative method using Fourier analysis to predict ageing in midsagittal facial profile. Midsagittal facial profiles were extracted as lists of X-Y coordinates from 125 pairs of 3D facial scans captured at an average of 10.5 years apart for adult Japanese males aged 23-52 years. Coordinate files were categorized into three 10-year-long age groups and underwent Fourier analysis. In a test set of 10 individuals randomly selected from each age group, the predicted Fourier coefficients were calculated for each of the tested individuals using a leave-one-out linear regression analysis at each harmonic level. This was accomplished by regressing the corresponding post-ageing coefficients onto pre ageing coefficients. The accuracy of predicted ageing coefficients were tested as the sum of squared errors between predicted and the actual post ageing coefficients (SSE pre ageing vs. post ageing ) in contrast to the errors between the pre and post ageing coefficients (SSE Post ageing vs. Predicted ageing ) using a paired t-test (α=0.05) across all tested individuals. Paired t-test showed that SSE pre ageing vs. post ageing were significantly larger than SSE Post ageing vs. Predicted ageing (p = 0.034) indicating that the coefficients of the predicted ageing are significantly closer to their corresponding actual post ageing coefficients than to the pre ageing coefficients. By using Fourier analysis, a quantitative prediction model for ageing in the midsagittal facial profile was introduced with some statistically supported accuracy. Testing the model further on other parasagittal and transverse facial contours and on younger and older age groups may open the gate towards possible applications in various disciplines of forensic science and clinical medicine. The aim of the present study was to introduce a quantitative method using Fourier analysis to predict ageing in midsagittal facial profile. Midsagittal facial profiles were extracted as lists of X-Y coordinates from 125 pairs of 3D facial scans captured at an average of 10.5 years apart for adult Japanese males aged 23-52 years. Coordinate files were categorized into three 10-year-long age groups and underwent Fourier analysis. In a test set of 10 individuals randomly selected from each age group, the predicted Fourier coefficients were calculated for each of the tested individuals using a leave-one-out linear regression analysis at each harmonic level. This was accomplished by regressing the corresponding post-ageing coefficients onto pre ageing coefficients. The accuracy of predicted ageing coefficients were tested as the sum of squared errors between predicted and the actual post ageing coefficients (SSE pre ageing vs. post ageing ) in contrast to the errors between the pre and post ageing coefficients (SSE Post ageing vs. Predicted ageing ) using a paired t-test (α=0.05) across all tested individuals. Paired t-test showed that SSE pre ageing vs. post ageing were significantly larger than SSE Post ageing vs. Predicted ageing (p = 0.034) indicating that the coefficients of the predicted ageing are significantly closer to their corresponding actual post ageing coefficients than to the pre ageing coefficients. By using Fourier analysis, a quantitative prediction model for ageing in the midsagittal facial profile was introduced with some statistically supported accuracy. Testing the model further on other parasagittal and transverse facial contours and on younger and older age groups may open the gate towards possible applications in various disciplines of forensic science and clinical medicine.

BACKGROUND:Restoring the original femoral offset is desirable for total hip replacements as it preserves the original muscle lever arm and soft tissue tensions. This can be achieved through lateralised stems, however, the effect of variation in the hip centre offset on the primary stability remains unclear. METHODS:Finite element analysis was used to compare the primary stability of lateralised and standard designs for a cementless femoral stem (Corail®) across a representative cohort of male and female femora (N = 31 femora; age from 50 to 80 years old). Each femur model was implanted with three designs of the Corail® stem, each designed to achieve a different degree of lateralisation. An automated algorithm was used to select the size and position that achieve maximum metaphyseal fit for each of the designs. Joint contact and muscle forces simulating the peak forces during level gait and stair climbing were scaled to the body mass of each subject. FINDINGS:The study found that differences in restoring the native femoral offset introduce marginal differences in micromotion (differences in peak micromotion <21 μm), for most cases. Nonetheless, significant reduction in the interfacial strains (>3000 με) was achieved for some subjects when lateralized stems were used. INTERPRETATION:Findings of this study suggest that, with the appropriate size and alignment, the standard offset design is likely to be sufficient for primary stability, in most cases. Nonetheless, appropriate use of lateralised stems has the potential reduce the risk of peri-prosthetic bone damage. This highlights the importance of appropriate implant selection during the surgical planning stage.

Many disorders present with characteristic abnormalities of the craniofacial complex. Precise descriptions of how and when these abnormalities emerge and change during childhood and adolescence can inform our understanding of their underlying pathology and facilitate diagnosis from craniofacial shape. In this paper we develop a framework for analysing how anatomical differences between populations emerge and change over time, and for binary group classification that adapts to the age of each participant. As a proxy for a disease-control comparison we use a database of 3D photographs of normally developing boys and girls to examine emerging sex-differences. Essentially we define 3D craniofacial 'growth curves' for each sex. Differences in the forehead, upper lip, chin and nose emerge primarily from different growth rates between the groups, whereas differences in the buccal region involve different growth directions. Differences in the forehead, buccal region and chin are evident before puberty, challenging the view that sex differences result from pubertal hormone levels. Classification accuracy was best for older children. This paper represents a significant methodological advance for the study of facial differences between growing populations and comprehensively describes developing craniofacial sex differences.

Osteoporosis is a prevalent bone condition, characterised by low bone mineral density and increased fracture risk. Currently, the gold standard for identifying osteoporosis and increased fracture risk is through quantification of bone mineral density using dual energy X-ray absorption. However, many studies have shown that bone strength, and consequently the probability of fracture, is a combination of both bone mass and bone 'quality' (architecture and material chemistry). Although the microarchitecture of both non-fracture and osteoporotic bone has been previously investigated, many of the osteoporotic studies are constrained by factors such as limited sample number, use of ovariectomised animal models, and lack of male and female discrimination. This study reports significant differences in bone quality with respect to the microarchitecture between fractured and non-fractured human femur specimens. Micro-computed tomography was utilised to investigate the microarchitecture of femoral head trabecular bone from a relatively large cohort of non-fracture and fracture human donors. Various microarchitectural parameters have been determined for both groups, providing an understanding of the differences between fracture and non -fracture material. The microarchitecture of non-fracture and fracture bone tissue is shown to be significantly different for many parameters. Differences between sexes also exist, suggesting differences in remodelling between males and females in the fracture group. The results from this study will, in the future, be applied to develop a fracture model which encompasses bone density, architecture and material chemical properties for both female and male tissues.

It is widely believed that the activities of bone cells at the tissue scale not only govern the size of the vascular pore spaces (and hence, the amount of bone tissue available for actually carrying the loads), but also the characteristics of the extracellular bone matrix itself. In this context, increased mechanical stimulation (in mediolateral regions of human femora, as compared to anteroposterior regions) may lead to increased bone turnover, lower bone matrix mineralization, and therefore lower tissue modulus. On the other hand, resorption-only processes (in endosteal versus periosteal regions) may have the opposite effect. A modal analysis of nanoindentation data obtained on femurs from the Melbourne Femur Research Collection (MFRC) indeed confirms that bone is stiffer in endosteal regions compared to periosteal regions (E̅endost = 29.34 ± 0.75 GPa >E̅periost = 24.67 ± 1.63 GPa), most likely due to the aging-related increase in resorption modeling on endosteal surfaces resulting in trabecularization of cortical bone. The results also show that bone is stiffer along the anteroposterior direction compared the mediolateral direction (E̅anteropost = 28.89 ± 1.08 GPa >E̅mediolat = 26.03 ± 2.31 GPa), the former being aligned with the neutral bending axis of the femur and, thus, undergoing more resorption modeling and consequently being more mineralized.

3D facial images are becoming increasingly common. They provide more information about facial form than their 2D counterparts and will be useful in future forensic applications. These include age estimation and predicting changes in appearance of missing persons (synthetic growth). We present a framework for both age estimation and synthetic growth of children and adolescents from 3D photographs. Age estimation accuracy was substantially better than for existing approaches (mean absolute error=1.19 years). Our synthetically 'grown' images were compared to actual longitudinal images of the same cases. On average 75% of the head overall and 85% of the face were predicted correctly to within three millimetres. We find that our approach is most suitable for ageing children from late childhood into adolescence. The work can be improved in the future by modelling skin colouring and taking account of other factors that influence face shape such as BMI.

Congenital midline cervical cleft (CMCC) is a rare condition that consists of a cutaneous midline neck lesion with a sinus extending inferiorly towards the sternum. A fibrous band that extends superiorly to the mandible is a consistent feature of the condition. Restriction of growth of the mandible, possibly due to incomplete removal of the band, is the most significant long-term problem. It remains unclear whether early removal of the fibrous band might allow catch-up growth of the mandible. This study utilized non-invasive three-dimensional photographs to objectively evaluate the facial growth of six CMCC patients. The growth of these CMCC patients was compared to the average growth of age- and sex-matched controls from a database of three-dimensional facial photographs of clinically normal subjects. After surgical removal of the fibrous cord, CMCC patients experience growth in the chin at the same rate as in the normal population; no evidence was found for catch-up growth. As a result, individuals with CMCC are likely to require further surgical intervention to correct the residual retrognathia on completion of facial growth. Early excision of the lesion including aggressive resection of the fibrous band is still recommended, as this should optimize the early growth of the mandible in infancy.

Primary stability is essential for the success of cementless femoral stems. In this study, patient specific finite element (FE) models were used to assess changes in primary stability due to variability in patient anatomy, bone properties and stem alignment for two commonly used cementless femoral stems, Corail (R) and Summit (R) (DePuy Synthes, Warsaw, USA). Computed-tomography images of the femur were obtained for 8 males and 8 females. An automated algorithm was used to determine the stem position and size which minimized the endo-cortical space, and then span the plausible surgical envelope of implant positions constrained by the endo-cortical boundary. A total of 1952 models were generated and ran, each with a unique alignment scenario. Peak hip contact and muscle forces for stair climbing were scaled to the donor's body weight and applied to the model. The primary stability was assessed by comparing the implant micromotion and peri-prosthetic strains to thresholds (150 mu m and 7000 mu epsilon, respectively) above which fibrous tissue differentiation and bone damage are expected to prevail. Despite the wide range of implant positions included, FE prediction were mostly below the thresholds (medians: Corail (R) : 20-74 mu m and 1150-2884 mu epsilon, Summit (R) : 25-111 mu m and 860-3010 mu epsilon), but sensitivity of micro-motion and interfacial strains varied across femora, with the majority being sensitive (p < 0.0029) to average bone mineral density, cranio-caudal angle, post-implantation anteversion angle and lateral offset of the femur. The results confirm the relationship between implant position and primary stability was highly dependent on the patient and the stem design used. (C) 2018 Elsevier Ltd. All rights reserved.

For cementless femoral stems, there is debate as to whether a collar enhances primary stability and load transfer compared to collarless designs. Finite Element (FE) analysis has the potential to compare stem designs within the same cohort, allowing for subtle performance differences to be identified, if present. Subject-specific FE models of intact and implanted femora were run for a diverse cohort (21 males, 20 females; BMI 16.4-41.2kg/m(2), age 50-80 yrs). Collared and collarless versions of Corail((R)) (DePuy Synthes, Warsaw, IN) were sized and positioned using an automated algorithm that aligns the femoral/stem axes, preserves the head-center location, and maximizes metaphyseal fit. Joint contact and muscle forces simulating peak forces in level gait and stair climbing and were scaled to the body mass and applied to each subject. Three failure scenarios were assessed: Potential for peri-prosthetic fibrous tissue formation (stem micromotion), potential for peri-prosthetic bone damage (equivalent strains), and calcar bone remodeling (changes in strain-energy density). Comparisons were performed using paired t-tests. Only subtle differences were found (mean 90th percentile micromotion: Collared=86 mu m, collarless=92.5 mu m, mean 90th percentile interface strains: Collared=733 mu E, collarless=767 mu E, and similar remodeling stimuli were predicted). The slight differences observed were small in comparison with the inter-patient variability. Statement of clinical significance: Our results suggest that the presence/absence of a collar is unlikely to substantially alter the bone-implant biomechanics nor the initial mechanical environment. Hence, a collar is likely to have minimal clinical impact. Analysis using different femoral stem designs is recommended before generalising these findings. (c) 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:1185-1195, 2018.

The lacunar-canalicular network (LCN) of bone contains osteocytes and their dendritic extensions, which allow for intercellular communication, and are believed to serve as the mechanosensors that coordinate the processes of bone modeling and remodeling. Imbalances in remodeling, for example, are linked to bone disease, including fragility associated with aging. We have reported that there is a reduction in scale for one component of the LCN, osteocyte lacunar volume, across the human lifespan in females. In the present study, we explore the hypothesis that canalicular porosity also declines with age. To visualize the LCN and to determine how its components are altered with aging, we examined samples from young (age: 20–23y; n=5) and aged (age: 70–86y; n=6) healthy women donors utilizing a fluorescent labelling technique in combination with confocal laser scanning microscopy. A large cross-sectional area of cortical bone spanning the endosteal to periosteal surfaces from the anterior proximal femoral shaft was examined in order to account for potential trans-cortical variation in the LCN. Overall, we found that LCN areal fraction was reduced by 40.6% in the samples from aged women. This reduction was due, in part, to a reduction in lacunar density (21.4% decline in lacunae number per given area of bone), but much more so due to a 44.6% decline in canalicular areal fraction. While the areal fraction of larger vascular canals was higher in endosteal vs. periosteal regions for both age groups, no regional differences were observed in the areal fractions of the LCN and its components for either age group. Our data indicate that the LCN is diminished in aged women, and is largely due to a decline in the canalicular areal fraction, and that, unlike vascular canal porosity, this diminished LCN is uniform across the cortex.

Osteoporotic fractures present a significant social and economic burden, which is set to rise commensurately with the aging population. Greater understanding of the physicochemical differences between osteoporotic and normal conditions will facilitate the development of diagnostic technologies with increased performance and treatments with increased efficacy. Using coherent X-ray scattering we have evaluated a population of 108 ex vivo human bone samples comprised of non-fracture and fracture groups. Principal component fed linear discriminant analysis was used to develop a classification model to discern each condition resulting in a sensitivity and specificity of 93% and 91%, respectively. Evaluating the coherent X-ray scatter differences from each condition supports the hypothesis that a causal physicochemical change has occurred in the fracture group. This work is a critical step along the path towards developing an in vivo diagnostic tool for fracture risk prediction.

In this study, the development of a mechanostatistical model of three-dimensional cortical bone remodelling informed with in vivo equine data is presented. The equine model was chosen as it is highly translational to the human condition due to similar Haversian systems, availability of in vivo bone strain and biomarker data, and furthermore, equine models are recommended by the US Federal Drugs Administration for comparative joint research. The model was derived from micro-computed tomography imaged specimens taken from the equine third metacarpal bone, and the Frost-based ‘mechanostat’ was informed from both in vivo strain gauges and biomarkers to estimate bone growth rates. The model also described the well-known ‘cutting cone’ phenomena where Haversian canals tunnel and replace bone. In order to make this model useful in practice, a partial least squares regression (PLSR) surrogate model was derived based on training data from finite element simulations with different loads. The PLSR model was able to predict microstructure and homogenised Young’s modulus with errors less than 2.2 % and \(0.6\,\% \), respectively.

Osteoporosis is a prevalent bone condition, characterised by low bone mass and increased fracture risk. Currently, the gold standard for identifying osteoporosis and increased fracture risk is through quantification of bone mineral density (BMD) using dual energy X-ray absorption (DEXA). However, the risk of osteoporotic fracture is determined collectively by bone mass, architecture and physicochemistry of the mineral composite building blocks. Thus DEXA scans alone inevitably fail to fully discriminate individuals who will suffer a fragility fracture. This study examines trabecular bone at both ultrastructure and microarchitectural levels to provide a detailed material view of bone, and therefore provides a more comprehensive explanation of osteoporotic fracture risk. Physicochemical characterisation obtained through X-ray diffraction and infrared analysis indicated significant differences in apatite crystal chemistry and nanostructure between fracture and non-fracture groups. Further, this study, through considering the potential correlations between the chemical biomarkers and microarchitectural properties of trabecular bone, has investigated the relationship between bone mechanical properties (e.g. fragility) and physicochemical material features.