Готові списки джерел за темами / 3D soft tissue prediction

Добірка наукової літератури з теми "3D soft tissue prediction"

Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "3D soft tissue prediction"

1

Olivetti, Elena Carlotta, Sara Nicotera, Federica Marcolin, Enrico Vezzetti, Jacqueline P. A. Sotong, Emanuele Zavattero, and Guglielmo Ramieri. "3D Soft-Tissue Prediction Methodologies for Orthognathic Surgery—A Literature Review." Applied Sciences 9, no. 21 (October 26, 2019): 4550. http://dx.doi.org/10.3390/app9214550.

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Анотація:
Three-dimensional technologies have had a wide diffusion in several fields of application throughout the last decades; medicine is no exception and the interest in their introduction in clinical applications has grown with the refinement of such technologies. We focus on the application of 3D methodologies in maxillofacial surgery, where they can give concrete support in surgical planning and in the prediction of involuntary facial soft-tissue changes after planned bony repositioning. The purpose of this literature review is to offer a panorama of the existing prediction methods and software with a comparison of their reliability and to propose a series of still pending issues. Various software are available for surgical planning and for the prediction of tissue displacements, but their reliability is still an unknown variable in respect of the accuracy needed by surgeons. Maxilim, Dolphin and other common planning software provide a realistic result, but with some inaccuracies in specific areas of the face; it also is not totally clear how the prediction is obtained by the software and what is the theoretical model they are based on.
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LI, SUJIAO, ZHENGXIANG ZHANG, and JUE WANG. "A NEW CUSTOM-CONTOURED CUSHION SYSTEM BASED ON FINITE ELEMENT MODELING PREDICTION." Journal of Mechanics in Medicine and Biology 13, no. 04 (July 7, 2013): 1350051. http://dx.doi.org/10.1142/s0219519413500516.

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High internal stress in the deep tissues adjacent to bony prominences can cause deep tissue injuries. Therefore, internal stress in the soft tissue should be considered when the performance of anti-decubitus cushions is evaluated during cushion design. This paper reports on a custom-contoured cushion (CCC) system incorporated with a three-dimensional (3D) slice subject-specific finite element (FE) model to investigate the internal stress distribution in the soft tissues. This stress distribution was used to transform the interface pressure into the carving depth of the fabricated cushions based on the biomechanical characteristics of the cushion materials. The internal stress in the soft tissues was investigated using an FE model of buttocks and cushion made from three cushion materials. The cushion design was optimized according to the properties of the material. The simulated interface stress between the buttocks and the cushion (18 kPa) was consistent with the measured interface pressure of the CCC (17.1 kPa). The 3D FE model predicted the internal stress and displacement of the soft tissues and cushion. Additionally, it efficiently optimized the selection of cushion material. Fifty subjects (25 subjects with spinal cord injuries (SCI) and 25 healthy subjects) were recruited to investigate the interface pressure and perform subjective comfort evaluation. The CCC decreased the interface pressure under the buttocks and simultaneously increased the subjective comfort and stability. The effectiveness of the cushion materials was predicted by the CCC system, which also validated the clinical performance of decreasing interface pressure.
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3

Lai, Hsin-Chih, Rafael Denadai, Cheng-Ting Ho, Hsiu-Hsia Lin, and Lun-Jou Lo. "Effect of Le Fort I Maxillary Advancement and Clockwise Rotation on the Anteromedial Cheek Soft Tissue Change in Patients with Skeletal Class III Pattern and Midface Deficiency: A 3D Imaging-Based Prediction Study." Journal of Clinical Medicine 9, no. 1 (January 18, 2020): 262. http://dx.doi.org/10.3390/jcm9010262.

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Patients with a skeletal Class III deformity may present with a concave contour of the anteromedial cheek region. Le Fort I maxillary advancement and rotational movements correct the problem but information on the impact on the anteromedial cheek soft tissue change has been insufficient to date. This three-dimensional (3D) imaging-assisted study assessed the effect of surgical maxillary advancement and clockwise rotational movements on the anteromedial cheek soft tissue change. Two-week preoperative and 6-month postoperative cone-beam computed tomography scans were obtained from 48 consecutive patients who received 3D-guided two-jaw orthognathic surgery for the correction of Class III malocclusion associated with a midface deficiency and concave facial profile. Postoperative 3D facial bone and soft tissue models were superimposed on the corresponding preoperative models. The region of interest at the anteromedial cheek area was defined. The 3D cheek volumetric change (mm3; postoperative minus preoperative models) and the preoperative surface area (mm2) were computed to estimate the average sagittal movement (mm). The 3D cheek mass position from orthognathic surgery-treated patients was compared with published 3D normative data. Surgical maxillary advancement (all p < 0.001) and maxillary rotation (all p < 0.006) had a significant effect on the 3D anteromedial cheek soft tissue change. In total, 78.9%, 78.8%, and 78.8% of the variation in the cheek soft tissue sagittal movement was explained by the variation in the maxillary advancement and rotation movements for the right, left, and total cheek regions, respectively. The multiple linear regression models defined ratio values (relationship) between the 3D cheek soft tissue sagittal movement and maxillary bone advancement and rotational movements of 0.627 and 0.070, respectively. Maxillary advancements of 3–4 mm and >4 mm resulted in a 3D cheek mass position (1.91 ± 0.53 mm and 2.36 ± 0.72 mm, respectively) similar (all p > 0.05) to the 3D norm value (2.15 ± 1.2 mm). This study showed that both Le Fort I maxillary advancement and rotational movements affect the anteromedial cheek soft tissue change, with the maxillary advancement movement presenting a larger effect on the cheek soft tissue movement than the maxillary rotational movement. These findings can be applied in future multidisciplinary-based decision-making processes for planning and executing orthognathic surgery.
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Awad, Daniel, Siegmar Reinert, and Susanne Kluba. "Accuracy of Three-Dimensional Soft-Tissue Prediction Considering the Facial Aesthetic Units Using a Virtual Planning System in Orthognathic Surgery." Journal of Personalized Medicine 12, no. 9 (August 25, 2022): 1379. http://dx.doi.org/10.3390/jpm12091379.

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Virtual surgical planning (VSP) is commonly used in orthognathic surgery. A precise soft-tissue predictability would be a helpful tool, for determining the correct displacement distances of the maxilla and mandible. This study aims to evaluate the soft-tissue predictability of the VSP software IPS CaseDesigner® (KLS Martin Group, Tuttlingen, Germany). Twenty patients were treated with bimaxillary surgery and were included in the study. The soft-tissue simulation, done by the VSP was exported as STL files in the engineering software Geomagic Control XTM (3D systems, RockHill, SC, USA). Four months after surgery, a 3D face scan of every patient was performed and compared to the preoperative simulation. The quality of the soft-tissue simulation was validated with the help of a distance map. This distance map was calculated using the inter-surface distance algorithm between the preoperative simulation of the soft-tissue and the actual scan of the postoperative soft-tissue surface. The prediction of the cranial parts of the face (upper cheek, nose, upper lip) was more precise than the prediction of the lower areas (lower cheek, lower lip, chin). The percentage of correctly predicted soft-tissue for the face in total reached values from 69.4% to 96.0%. The VSP system IPS CaseDesigner® (KLS Martin Group; Tuttlingen, Germany) predicts the patient’s post-surgical soft-tissue accurately. Still, this simulation has to be seen as an approximation, especially for the lower part of the face, and continuous improvement of the underlying algorithm is needed for further development.
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Wang, Li Ping, Yi Guo, Xue Ling Jiang, Jiang Hui Dong, and Long Wang. "Study on Three-Dimensional Surgical Simulation and Face Prediction of the Individualized Maxillofacial Soft and Hard Tissue." Applied Mechanics and Materials 543-547 (March 2014): 1892–95. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1892.

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Анотація:
Three-dimensional 3D modeling, surgery simulation and face prediction of the maxillofacial soft and hard tissue has a great significance for the study of facial growth and development, diagnosis and treatment of facial deformity and postoperative face prediction and treatment evaluation. Based on maxillofacial 3D modeling and measurement analysis, real-time variable model is set up. In virtual environment, image feedback, force and tactile perception in combined together surgical simulation. Furthermore, the system of surgical prediction and postoperative results display is proposed, which has great value and clinical significance.
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Abdullah, Johari Yap, Cicero Moraes, Mokhtar Saidin, Zainul Ahmad Rajion, Helmi Hadi, Shaiful Shahidan, and Jafri Malin Abdullah. "Forensic Facial Approximation of 5000-Year-Old Female Skull from Shell Midden in Guar Kepah, Malaysia." Applied Sciences 12, no. 15 (August 5, 2022): 7871. http://dx.doi.org/10.3390/app12157871.

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Forensic facial approximation was applied to a 5000-year-old female skull from a shell midden in Guar Kepah, Malaysia. The skull was scanned using a computed tomography (CT) scanner in the Radiology Department of the Hospital Universiti Sains Malaysia using a Light Speed Plus scanner with a 1 mm section thickness in spiral mode and a 512 × 512 matrix. The resulting images were stored in Digital Imaging and Communications in Medicine (DICOM) format. A three-dimensional (3D) model of the skull was obtained from the CT scan data using Blender’s 3D modelling and animation software. After the skull was reconstructed, it was placed on the Frankfurt plane, and soft tissue thickness markers were placed based on 34 Malay CT scan data of the nose and lips. The technique based on facial approximation by data extracted from facial measurements of living individuals showed greater anatomical coherence when combined with anatomical deformation. The facial approximation in this study will pave the way towards understanding face prediction based on skull structures, soft tissue prediction rules, and soft tissue thickness descriptors.
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7

Hakonen, Bodil, Linnea K. Lönnberg, Eva Larkö, and Kristina Blom. "A Novel Qualitative and Quantitative Biofilm Assay Based on 3D Soft Tissue." International Journal of Biomaterials 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/768136.

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The lack of predictablein vitromethods to analyze antimicrobial activity could play a role in the development of resistance to antibiotics. Current used methods analyze planktonic cells but for the method to be clinically relevant, biofilm inin vivolike conditions ought to be studied. Hence, our group has developed a qualitative and quantitative method within vivolike 3D tissue for prediction of antimicrobial activity in reality. Devices (wound dressings) were applied on top ofPseudomonas aeruginosainoculated Muller-Hinton (MH) agar or 3D synthetic soft tissues (SST) and incubated for 24 hours. The antibacterial activity was then analyzed visually and by viable counts. On MH agar two out of three silver containing devices showed zone of inhibitions (ZOI) and on SST, ZOI were detected for all three. Corroborating results were found upon evaluating the bacterial load in SST and shown to be silver concentration dependent. In conclusion, a novel method was developed combining visual rapid screening and quantitative evaluation of the antimicrobial activity in both tissue and devices. It uses tissue allowing biofilm formation thus mimicking reality closely. These conditions are essential in order to predict antimicrobial activity of medical devices in the task to prevent device related infections.
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Garcia Flores, Jose, Ritu Mogra, Monica Sadowski, and Jon Hyett. "Prediction of Birth Weight and Neonatal Adiposity Using Ultrasound Assessment of Soft Tissue Parameters in Addition to Two-Dimensional Conventional Biometry." Fetal Diagnosis and Therapy 48, no. 3 (2021): 201–8. http://dx.doi.org/10.1159/000510637.

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<b><i>Introduction:</i></b> We aim to evaluate the supplementary predictive value of soft tissue markers, including fetal limb volumes, for fetal birth weight and fat tissue weight. <b><i>Methods:</i></b> This is a prospective study of 60 patients undergoing term induction of labor. Ultrasound was performed 48 h before birth, and 2D sonographic measurements, subcutaneous tissue thickness, and 3D fetal limb volumes were taken. Birth weight and neonatal fat weight were assessed by plethysmography. Clinical data were collected. The relation between ultrasound and neonatal outcomes was assessed by univariate and multivariate predictive models. The estimated and actual birth weights were compared applying different published formulas, and systematic and random error were collected and compared. <b><i>Results:</i></b> 3D fetal limb volumes showed a strong relation to birth weight, absolute weight, and relative fat weight. The Lee 6 formula performed better than either Hadlock 3 or Lee 3 with the lowest random error. Fractional limb volumes involve a highly reproducible technique, with excellent correlation (intra-class coefficient &#x3e;0.90) for both inter- and intra-observer reliability. The prevalence of estimated EFW measures within 10% error from the actual birth weight was 71.7% with the Hadlock 3 model and 95.0% with the Lee 6 model (<i>p</i> = 0.09). <b><i>Conclusion:</i></b> Late assessment of 3D fetal limb volume in upper and lower extremities is not only useful for accurately predicting birth weight but is a useful marker for prediction of birth fat tissue weight.
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Jaeger, Rudolf, Julia Glöggler, To Mai Pham, Falko Schmidt, Elena Schramm, Alexander Schramm, and Bernd G. Lapatki. "Experimental and numerical evaluation of simulated dental arch expansion during orthodontic therapy." Current Directions in Biomedical Engineering 8, no. 1 (July 1, 2022): 85–88. http://dx.doi.org/10.1515/cdbme-2022-0022.

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Abstract In this publication, methods are presented to improve predictions of perioral soft-tissue changes following the expansion of the dental arches during orthodontic therapy. Acrylic veneers with different thicknesses were reversibly attached to the buccal surfaces of the upper and lower incisors to simulate their protrusion. The resulting morphological changes of the perioral soft-tissue surface were determined by 3D face scans. Experimentally-determined 3D soft-tissue changes are compared to numerical predictions using detailed finite-element (FE) models of the face of two individuals differing in the body mass index (BMI). The results suggest that common estimates of material constants used by the detailed and individualized FE models might be sufficient to explain absolute soft-tissue displacements although differences occurred between experimental and modeling results regarding the directions of displacements. The aim of this investigation is to create predictions of post-treatment appearance that are helpful for therapy planning.
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Xia, James, Nabil Samman, Richie W. K. Yeung, Dongfeng Wang, Steve G. F. Shen, Horace H. S. Ip, and Henk Tideman. "Computer-assisted three-dimensional surgical planning and simulation. 3D soft tissue planning and prediction." International Journal of Oral and Maxillofacial Surgery 29, no. 4 (August 2000): 250–58. http://dx.doi.org/10.1034/j.1399-0020.2000.290404.x.

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Дисертації з теми "3D soft tissue prediction"

1

OLIVETTI, ELENA CARLOTTA. "When 3D geometrical face analysis meets maxillofacial surgery-a methodology for patients affected by dental malocclusion." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2963954.

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2

Liang, Haidong. "Facial soft tissue 3D modelling." Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/842802/.

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The purpose of this study is to find the design tool to create a soft tissue 3D model able to be used for finite element analysis to simulate the facial soft tissue deformation under g-loading and the helmet and mask/tissue interaction. Such a model will be of value in the design of new helmets and oxygen mask system, to reduce the effects of inertia, to provide improved fit, to minimise oxygen leakage especially when deformed under high g-loading. This work is concerned with the creation of a 3D geometric model. Further work may involve the measurement of mechanical properties of the facial soft tissue, finite element analysis and validation of the model. Using high frequency A-scan ultrasound allows the superficial tissue to be measured on volunteers without risk. The investigation covers 112 points on half of the face, linked to 11 defined morphological zones. The zonal boundaries are based on previous research and are initially identified by inspection and palpation of the face. There is large thickness range difference (30%) over the face in most zones defined in an individual. The iso-thickness zone hypothesis is not valid if the 'constant' thickness criterion is set to be 10% for all zones. Software algorithm for automatically detecting the facial soft tissue thickness is developed and validated to be effective (5% fail rate). Thickness data is acquired from European white males, females and Chinese males. The data collected in this study is also useful in forensic science for facial reconstruction purpose. Laser scanning method has been used to obtain the facial surface profile to create a surface model into which the soft tissue layer thickness distribution around the face can be incorporated. The surface model is exported in IGES format and can be imported in CAD software. Electromagnetic space locating method is used to acquire the ultrasound probe position so as to find the position of the tissue thickness. Point-based registration method is used to integrate the ultrasound thickness data into the laser scanned surface model to create a soft tissue shell solid model. The model is exported in IGES data format so that it can be imported into a finite element analysis package for further processing.
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3

Hajeer, Mohammad Younis. "3D soft-tissue, 2D hard-tissue and psychosocial changes following orthognathic surgery." Thesis, University of Glasgow, 2003. http://theses.gla.ac.uk/3126/.

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A 3D imaging system (C3D®), based on the principles of stereophotogrammetry, has been developed for use in the assessment of facial changes following orthognathic surgery. Patients’ perception of their facial appearance before and after orthognathic surgery has been evaluated using standardised questionnaires, but few studies have tried to link this perception with the underlying two-dimensional cephalometric data. Comparisons between patients’ subjective opinions and 3D objective assessment of facial morphology have not been performed. Aims: (1) To test the reliability of the 3D imaging system; (2) to determine the effect of orthognathic surgery on the 3D soft-tissue morphology; (3) to assess skeletal changes following orthognathic surgery; (4) to evaluate soft-tissue to hard-tissue displacement ratios; (5) to ascertain the impact of orthognathic surgery on patients’ perception of their facial appearance and their psychosocial characteristics, (6) to explore the dentofacial deformity, sex and age on the psychosocial characteristics; (7) to evaluate the extent of compatibility between the cephalometric and the three-dimensional measurements and (8) to determine if the magnitude of facial soft-tissue changes affects the perception of facial changes at six months following surgery. Results and Conclusions: C3D imaging system was proved to be accurate with high reproducibility. The reproducibility of landmark identification on 3D models was high for 24 out of the 34 anthropometric landmarks (SD£0.5 mm). One volumetric algorithm in the Facial Analysis Tool had an acceptable accuracy for the assessment of volumetric changes following orthognathic surgery (mean error=0.314 cm3). The error of cephalometric method was low and the simulation of mandibular closure proved to be reproducible. 2D soft-tissue measurements were compatible with 3D measurements in terms of distances, but angular measurements showed significant differences (p<0.05).
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4

Golec, Karolina. "Hybrid 3D Mass Spring System for Soft Tissue Simulation." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSE1004/document.

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La nécessité de simulations de tissus mous, tels que les organes internes, se pose avec le progrès des domaines scientifiques et médicaux. Le but de ma thèse est de développer un nouveau modèle générique, topologique et physique, pour simuler les organes humains. Un tel modèle doit être facile à utiliser, doit pouvoir effectuer des simulations en temps réel avec un niveau de précision permettant l'utilisation à des fins médicales. Cette thèse explore de nouvelles méthodes de simulation et propose des améliorations pour la modélisation de corps déformables. Les méthodes proposées visent à pouvoir effectuer des simulations rapides, robustes et fournissant des résultats physiquement précis. L'intérêt principal de nos solutions réside dans la simulation de tissus mous élastiques a petites et grandes déformations à des fins médicales. Nous montrons que pour les méthodes existantes, la précision pour simuler librement des corps déformables ne va pas de pair avec la performance en temps de calcul. De plus, pour atteindre l'objectif de simulation rapide, de nombreuses approches déplacent certains calculs dans une étape de pré-traitement, ce qui entraîne l'impossibilité d'effectuer des opérations de modification topologiques au cours de la simulation comme la découpe ou le raffinement. Dans cette thèse, le cadre utilisé pour les simulations s'appelle TopoSim. Il est conçu pour simuler des matériaux à l'aide de systèmes masses-ressorts (MSS) avec des paramètres d'entrée spécifiques. En utilisant un MSS, qui est connu pour sa simplicité et sa capacité à effectuer des simulations temps réel, nous présentons plusieurs améliorations basé physiques pour contrôler les fonctionnalités globales du MSS qui jouent un rôle clé dans la simulation de tissus réels. La première partie de ce travail de thèse vise à reproduire une expérience réelle de simulation physique qui a étudié le comportement du tissu porcin à l'aide d'un rhéomètre rotatif. Son objectif était de modéliser un corps viscoélastique non linéaire. A partir de l'ensemble des données acquises, les auteurs de l'expérience ont dérivé une loi de comportement visco-élastique qui a ensuite été utilisée afin de la comparer avec nos résultats de simulation. Nous définissons une formulation des forces viscoélastiques non linéaires inspirée de la loi de comportement physique. La force elle-même introduit une non linéarité dans le système car elle dépend fortement de l'amplitude de l'allongement du ressort et de trois paramètres spécifiques à chaque type de tissu. La seconde partie de la thèse présente notre travail sur les forces de correction de volume permettant de modéliser correctement les changements volumétriques dans un MSS. Ces forces assurent un comportement isotrope des solides élastiques et un comportement correct du volume quel que soit la valeur du coefficient de Poisson utilisé. La méthode nécessite de résoudre deux problèmes: l'instabilité provoquant des plis et les contraintes de Cauchy. Nos solutions à ces limitations impliquent deux étapes. La première consiste à utiliser trois types de ressorts dans un maillage entièrement hexaédrique: les arêtes, les faces diagonales et les diagonales internes. Les raideurs des ressorts dans le système ont été formulées pour obéir aux lois mécaniques de base. La deuxième étape consiste à ajouter des forces de correction linéaires calculées en fonction du changement de volume et des paramètres mécaniques du tissu simulé, à savoir le coefficient de Poisson et le module de Young [etc…]
The need for simulations of soft tissues, like internal organs, arises with the progress of the scientific and medical environments. The goal of my PhD is to develop a novel generic topological and physical model to simulate human organs. Such a model shall be easy to use, perform the simulations in the real time and which accuracy will allow usage for the medical purposes.This thesis explores novel simulation methods and improvement approaches for modeling deformable bodies. The methods aim at fast and robust simulations with physically accurate results. The main interest lies in simulating elastic soft tissues at small and large strains for medical purposes. We show however, that in the existing methods the accuracyto freely simulate deformable bodies and the real-time performance do not go hand in hand. Additionally, to reach the goal of simulating fast, many of the approaches move the necessary calculations to pre-computational part of the simulation, which results in inability to perform topological operations like cutting or refining.The framework used for simulations in this thesis is designed to simulate materials using Mass Spring Systems (MSS) with particular input parameters. Using Mass-Spring System, which is known for its simplicity and ability to perform fast simulations, we present several physically-based improvements to control global features of MSS which play the key role in simulation of real bodies
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5

DI, LISA DONATELLA. "Biopolymeric microbeads as a 3D scaffold for soft tissue engineering." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1005298.

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The increase of different types of cell cultures, which can be used for the in vitro studies of physiological and/or pathological processes, has introduced the need to improve culture techniques through the use of materials and culture media that promote growth, recreating a cellular micro-environment that can be asserted in in vivo condition. Therefore, it is important to design and develop new biologically sustainable methods, such as to contribute to the “closer-to-in vivo” condition. In particular, the design of a 3D in vitro model of neuronal culture is an important step to better understand the mechanisms of cell-cell communication, synaptogenesis and neurophysiological circuits. In order to mimic the ECM environment, a granular, porous and soft structure is preferred in the design of an artificial neural network. The granular structure is preferred due to the fact that CNS tissue seems to be organized as a greater proportion of the microscale tissue, that can be thought of as granular. For this reason, the thesis is focused on the production and characterization of bipolymeric microbeads as a 3D scaffold for soft tissue engineering. The biopolymer Chitosan is presented as an alternative adhesion factor and support for 2D and 3D neuronal cell cultures. Chitosan is a copolymer of glucosamine and N-acetyl-glucosamine, obtained by the deacetylation of chitin; it is well known for its low-cost, biocompatibility, biodegradability, muco-adhesiveness, antibacterial activity as well as its bioaffinity. Chitosan backbone shows positive charges of primary ammines that favor the electrostatic interactions with the negatively charged cell membranes promoting cell adhesion and growth. The standard studies focoused on the development of nervous system, have been performed using traditional monolayer culture onto supports modified by extracellular matrix components or synthetic biopolymers such as poly-ornithine and poly-lysine which are expressed at stages critical for neuronal differentiation in situ and are functional in neurite outgrowth in vitro, acting as adhesion proteins. Morphological and functional characterization of 2D neuronal culture grew up onto chitosan susbtrates are carried out and compared with the gold standard reported in literature, in order to validate the ability of chitosan to support neuronal adhesion, networks development and the differentiation capacity. 3D cultured neurons on chitosan microbeads based-scaffold, showed a structural development of a functional network that are more representative of the in vivo environment. The studies reported in this thesis, successfully demonstrate the alternative use of the polysaccharide chitosan as adhesion factor and as a structural component for 2D/3D neuronal cultures. Definitely, thanks to its low cost and versatility, it could be easily functionalized for the fabrication of personalized of in vitro models. In this thesis, a new technology to converts monodisperse microbead hydrogels to fine powders, is reported. Microengineered emulsion-to-powder (MEtoP) technology generates microgels with all the molecular, colloidal, and bulk characteristics of fresh microbeas upon resuspension in aqueous media. GelMA microbeads are fabricated by microfluidic technique, that is one of the most effective techniques, and allows precise tuning of the compositions and geometrical characteristics of microbeads. Gelatin-methacryloyl (GelMA) is a semi-synthetic hydrogel which consists of gelatin derivatized with methacrylamide and methacrylate groups. These hydrogels provide cells with an optimal biological environment (e.g., RGD motifs for adhesion) and can be quickly photo-crosslinked, which provide shape fidelity and stability at physiological temperature. MEtoP technology is based on protecting the dispersed phase of an emulsion to preserve its physical and chemical cues during harsh freezing and lyophilization procedures. This technology avoids the persistent problems of colloids, including difficulty in sterilization, bacterial and viral contamination, impaired stability, high processing costs, and difficult packaging and transportation.
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6

Weibin, Lin. "Improvement of 3D printing quality for fabricating soft scaffolds." ASME, 2014. http://hdl.handle.net/1993/30281.

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Tissue engineering (TE) integrates methods of cells, engineering and materials to improve or replace biological functions of native tissues or organs. 3D printing technologies have been used in TE to produce different kinds of tissues. Based on review of the exiting 3D printing technologies used in TE, special requirements of fabricating soft scaffolds are identified. Soft scaffolds provide a microenvironment with biocompatibility for living cells proliferation. This research focuses on 3D printer design and printing parameters investigation for fabrication of soft scaffolds. A 3D printer is proposed for producing artificial soft scaffolds, with components of a pneumatic dispenser, a temperature controller and a multi-nozzle changing system. Relations of 3D printing parameters are investigated to improve the printing quality of soft scaffolds. It provides guidance for printing customized bio-materials with improved efficiency and quality. In the research, printing parameters are identified and classified based on existing research solutions. A deposition model is established to analyze the parameters relations. Quantitative criteria of parameters are proposed to evaluate the printing quality. A series of experiments including factors experiments and comparison tests are conducted to find effects of parameters and their interactions. A case study is conducted to verify the analytic solution of proposed models. This research confirms that the hydrogel concentration and nozzle diameters have significant effects on the filament diameter. Factor interactions are mainly embodied in between the concentration of hydrogel solutions and dispensing pressures. Besides filament diameters, the nozzle height and space also affect the printing accuracy significantly. An appropriate nozzle height is considered to be 1.4 times than the nozzle diameter, and a reasonable nozzle space is suggested from 2.0 to 2.5 times of the nozzle diameter.
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7

Scholze, Mario, Aqeeda Singh, Pamela F. Lozano, Benjamin Ondruschka, Maziar Ramezani, Michael Werner, and Niels Hammer. "Utilization of 3D printing technology to facilitate and standardize soft tissue testing." Nature Publishing Group, 2018. https://monarch.qucosa.de/id/qucosa%3A31244.

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Three-dimensional (3D) printing has become broadly available and can be utilized to customize clamping mechanisms in biomechanical experiments. This report will describe our experience using 3D printed clamps to mount soft tissues from different anatomical regions. The feasibility and potential limitations of the technology will be discussed. Tissues were sourced in a fresh condition, including human skin, ligaments and tendons. Standardized clamps and fixtures were 3D printed and used to mount specimens. In quasi-static tensile tests combined with digital image correlation and fatigue trials we characterized the applicability of the clamping technique. Scanning electron microscopy was utilized to evaluate the specimens to assess the integrity of the extracellular matrix following the mechanical tests. 3D printed clamps showed no signs of clamping-related failure during the quasi-static tests, and intact extracellular matrix was found in the clamping area, at the transition clamping area and the central area from where the strain data was obtained. In the fatigue tests, material slippage was low, allowing for cyclic tests beyond 105 cycles. Comparison to other clamping techniques yields that 3D printed clamps ease and expedite specimen handling, are highly adaptable to specimen geometries and ideal for high-standardization and high-throughput experiments in soft tissue biomechanics.
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8

Zardawi, Faraedon M. M. "Characterisation of implant supported soft tissue prostheses produced with 3D colour printing technology." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/3299/.

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The numbers of patients needing facial prostheses has increased in the last few decades due to improving cancer survival rates. The many limitations of the handmade prostheses together with rapid expansion of prototyping in all directions, particularly in producing human anatomically accurate parts, have raised the question of how to employ this technology for rapid manufacturing of facial soft tissue prostheses. The idea started to grow and the project was implemented based on CAD/CAM principles – additive manufacturing technology, by employing layered fabrication of facial prostheses from starch powder and a water based binder and infiltrated with a silicone polymer (SPIS). The project aimed to produce a facial prosthesis by using 3D colour printing, which would match the patient’s skin shade and have the desirable mechanical properties, through a relatively low cost process that would be accessible to the global patient community. This was achieved by providing a simple system for data capture, design and reproducible method of manufacture with a clinically acceptable material. The prosthesis produced has several advantages and few limitations when compared to existing products/prostheses made from silicone polymer (SP). The mechanical properties and durability were not as good as those of the SP made prosthesis but they were acceptable, although the ideal properties have yet to be identified. Colour reproduction and colour matching were more than acceptable, although the colour of the SPIS parts was less stable than the SP colour under natural and accelerated weathering conditions. However, it is acknowledged that neither of the two methods used represent the natural life use on patients and the deficiencies demonstrated in terms of mechanical properties and colour instability were partially inherent in the methodology used, as the project was still at the developmental stage and it was not possible to apply real life tests on patients. Moreover, deficiencies in mechanical and optical properties were probably caused by the starch present, which was used as a scaffold for the SP. Furthermore, a suitable retention system utilising existing components was designed and added to the prosthesis. This enabled the prosthesis to be retained by implants with no need for the addition of adhesive. This would also help to prolong the durability and life span of the prosthesis. The capability of the printer to produce skin shades was determined and it was found that all the skin colours measured fall within the range of the 3D colour printer and thereby the printer was able to produce all the colours required. Biocompatibility was also acceptable, with a very low rate of toxicity. However, no material is 100% safe and each material has a certain range of toxicity at certain concentrations. At this stage of the project, it can be confirmed that facial prostheses were successfully manufactured by using 3D colour printing to match the patient’s skin shade, using biocompatible materials and having the desirable mechanical properties. Furthermore, the technology used enabled prostheses to be produced in a shorter time frame and at a lower cost than conventional SP prostheses. They are also very lightweight, easier to use and possibly more comfortable for the patients. Moreover, this technology has the capability of producing multiple prostheses at the time of manufacture at reduced extra cost, whilst the data can be saved and can be utilised/modified for producing further copies in the future without having to going through all the steps involved with handmade prostheses. Based on the mechanical properties and colour measurements the prostheses will have a finite service life and the recommendation is that these prostheses will need replacing every 6 to 12 months, depending on how the patient handles and maintains the prostheses and whether the prosthesis is being used as an interim or definitive prosthesis. This was largely comparable to existing prostheses but without the time and cost implications for replacement. However, it is acknowledged that further investigations and clinical case studies are required to investigate the “real life” effect on the prostheses and to get feedback from the patients in order to make appropriate improvements to the mechanical properties and the durability of the prosthesis.
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9

Roos, Bryan K. "A comparison of soft tissue prediction tracings using the Andrews and Ricketts diagnostic techniques." Morgantown, W. Va. : [West Virginia University Libraries], 2003. http://etd.wvu.edu/templates/showETD.cfm?recnum=2819.

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Анотація:
Thesis (M.S.)--West Virginia University, 2003.
Title from document title page. Document formatted into pages; contains ix, 77 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 58-61).
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10

Jelier, Pamela. "The integration of soft tissue data into a 3D model of the human head." Thesis, University of Surrey, 1995. http://epubs.surrey.ac.uk/844340/.

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This thesis describes the acquisition of maxillo-facial soft tissue thickness data and its integration into a Computer Aided Design based solid model of the human head. The final outcome was a significant element in a novel approach to the creation of a 3D modeller for detailed study of the design of protective equipment at the interface with the skin tissues. Anthropometric surface data of 300 head 3D profiles were acquired using a laser scanning system consisting of a dual mirror configuration and a CCD video camera. Approximately 70,000 data points are scanned in less than ten seconds. The resulting surface model has a resolution of +/-0.5mm circumferentially and +/- 0.2mm radially. Soft tissue thickness values have been measured using A-scanning ultrasound system with a pulsed, 12.5MHz focused ultrasound probe with an axial resolution of 0.31mm and a lateral resolution of 2.7mm. The accuracy of the measurements has been estimated as +/-0.25mm. A novel representation of these data has been suggested in which quasi iso-thickness zones have been identified. These zones, where the thickness values are often consistent to within as little as +/-0.5mm, have been shown to be consistent with key anatomical regions. Colour spectral plots visualise the tissue zones. The thickness data are referenced to the laser data using a magnetic spacing system, POLHEMUS by 3DSpaceRTM the resulting 3D soft tissue model has important uses in Finite Element Analysis methods for design of protective equipment.
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Частини книг з теми "3D soft tissue prediction"

1

Obaidellah, Unaizah Hanum, and N. Selvanathan. "A Computer-based Surgery Planning and Simulation for the Prediction of 3D Postoperative Facial Soft Tissue using Finite Element Analysis." In 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006, 558–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-68017-8_140.

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2

Zachow, Stefan, Evgeny Gladilin, Adam Trepczynski, Robert Sader, and Hans-Florian Zeilhofer. "3D osteotomy planning in cranio-maxillofacial surgery: experiences and results of surgery planning and volumetric finite-element soft tissue prediction in three clinical cases." In CARS 2002 Computer Assisted Radiology and Surgery, 983–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56168-9_164.

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3

Nebel, Jean-Christophe. "Soft Tissue Modelling from 3D Scanned Data." In Deformable Avatars, 85–97. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-0-306-47002-8_8.

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4

Huri, Emre, Osman Tunç, Young Lae Moon, and Dae Ok Kim. "Creating Standards for 3D Soft-Tissue Modelling." In Anatomy for Urologic Surgeons in the Digital Era, 201–12. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59479-4_15.

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5

Giachetti, Andrea, and Gianluigi Zanetti. "3D Reconstruction of Large Tubular Geometries from CT Data." In Surgery Simulation and Soft Tissue Modeling, 132–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45015-7_13.

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6

Jin, Xia, Grand Roman Joldes, Karol Miller, and Adam Wittek. "3D Algorithm for Simulation of Soft Tissue Cutting." In Computational Biomechanics for Medicine, 49–62. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6351-1_6.

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7

Dinh, Quang Huy, Thi Chau Ma, The Duy Bui, Trong Toan Nguyen, and Dinh Tu Nguyen. "Facial Soft Tissue Thicknesses Prediction Using Anthropometric Distances." In New Challenges for Intelligent Information and Database Systems, 117–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19953-0_12.

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8

Gupta, Rishi Jay, and Stephen Schendel. "Soft Tissue Changes and Prediction with Orthognathic Surgery." In Peterson’s Principles of Oral and Maxillofacial Surgery, 2019–38. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91920-7_67.

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9

Gatenholm, Paul, Hector Martinez, Erdem Karabulut, Matteo Amoroso, Lars Kölby, Kajsa Markstedt, Erik Gatenholm, and Ida Henriksson. "Development of Nanocellulose-Based Bioinks for 3D Bioprinting of Soft Tissue." In 3D Printing and Biofabrication, 1–23. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40498-1_14-1.

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10

Gatenholm, Paul, Hector Martinez, Erdem Karabulut, Matteo Amoroso, Lars Kölby, Kajsa Markstedt, Erik Gatenholm, and Ida Henriksson. "Development of Nanocellulose-Based Bioinks for 3D Bioprinting of Soft Tissue." In 3D Printing and Biofabrication, 331–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-45444-3_14.

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Тези доповідей конференцій з теми "3D soft tissue prediction"

1

Mollemans, W., F. Schutyser, N. Nadjmi, F. Maes, and P. Suetens. "3D soft tissue predictions with a tetrahedral mass tensor model for a maxillofacial planning system: a quantitative validation study." In Medical Imaging, edited by Kevin R. Cleary and Robert L. Galloway, Jr. SPIE, 2006. http://dx.doi.org/10.1117/12.653063.

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2

Simon, Peter, Alejandro A. Espinoza Orías, Naomi Kotwal, Todd Parrish, Howard S. An, Gunnar B. J. Andersson, Rick D. Sumner, and Nozomu Inoue. "3D Analysis of Lumbar Spine Facet Joint Cartilage Thickness Distribution." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53894.

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Quantitative knowledge of lumbar facet joint morphology is crucial in understanding the relationship between the geometry and kinematics of the facet joint as well as better understanding degenerative changes. Accurate prediction of lumbar facet joint contact area and stresses requires 3D representation of the thickness distribution of the articular cartilage of the facet joint. Several groups have reported on cervical facet joint cartilage thickness measurements using different approaches [2,3]. To the best of our knowledge, three-dimensional (3D) distribution of lumbar facet joint cartilage thickness has not been reported. Current methods of measuring various geometrical parameters of facet joint cartilage usually utilize high resolution magnetic resonance (MR) imaging techniques. Although these techniques represent the most up-to-date advanced methods in the soft tissue imaging field, facet joint cartilage reconstruction cannot be accomplished with reasonable fidelity using this approach. A study by Koo et al. [1] on knee joint cartilage showed that the accuracy of cartilage thickness measurement in the cartilage models derived from MRI (1.5T) varies with cartilage thickness. This study reported accurate measurements only for cartilage whose thickness ranged from 2.5 mm to 3.3 mm, which is in the range larger than the average lumbar facet joint cartilage assumed to be around 0.8 mm. Therefore, the objective of this study was to 1) analyze 3D lumbar facet joint cartilage thickness distributions based on laser scanner data, 2) compare this method using μCT and 3T MRI.
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3

Sinthanayothin, Chanjira, and Wichit Tharanon. "3D-3D Registration: Surface Rendering Plus Skull and Soft Tissue Registration." In 2006 1ST IEEE Conference on Industrial Electronics and Applications. IEEE, 2006. http://dx.doi.org/10.1109/iciea.2006.257340.

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4

Liang, Haidong, and Steven Hughes. "3D maxillofacial soft-tissue model in laser scanned head." In BiOS '98 International Biomedical Optics Symposium, edited by Steven L. Jacques. SPIE, 1998. http://dx.doi.org/10.1117/12.308201.

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5

Zhu, Ling, Yandong Li, Ying Yu, Baoquan Zhang, and Lijing Wang. "3D reconstruction for soft tissue of the human body." In 2016 IEEE International Conference on Mechatronics and Automation. IEEE, 2016. http://dx.doi.org/10.1109/icma.2016.7558823.

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6

Liao, Xiangyun, Weixin Si, Zhaoliang Duan, Xi Chen, Jianhui Zhao, and Zhiyong Yuan. "Parameter measurement of 3D soft tissue model in warping simulation." In 2012 International Conference on Systems and Informatics (ICSAI). IEEE, 2012. http://dx.doi.org/10.1109/icsai.2012.6223216.

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7

Lin, Weibin, and Qingjin Peng. "3D Printing Technologies for Tissue Engineering." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34408.

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Анотація:
Tissue engineering (TE) integrates methods of cells, engineering and materials to improve or replace biological functions of native tissues or organs. 3D printing technologies have been used in TE to produce different kinds of tissues. Human tissues have intricate structures with the distribution of a variety of cells. For this reason, existing methods in the construction of artificial tissues use universal 3D printing equipment or some simple devices, which is hard to meet requirements of the tissue structure in accuracy and diversity. Especially for soft tissue organs, a professional bio-3D printer is required for theoretical research and preliminary trial. Based on review of the exiting 3D printing technologies used in TE, special requirements of fabricating soft tissues are identified in this research. The need of a proposed bio-3D printer for producing artificial soft tissues is discussed. The bio-3D printer suggested consists of a pneumatic dispenser, a temperature controller and a multi-nozzle changing system.
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8

Farhidzadeh, Hamidreza, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Meera Raghavan, and Robert A. Gatenby. "Prediction of treatment response and metastatic disease in soft tissue sarcoma." In SPIE Medical Imaging, edited by Stephen Aylward and Lubomir M. Hadjiiski. SPIE, 2014. http://dx.doi.org/10.1117/12.2043792.

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9

Wang, Shaoyin, Jun Feng, Xiaodong Wang, and Hongtao Shang. "Orthognathic Soft-Tissue Prediction Based on Three-Dimensional Graphics Model Recovery." In 2011 12th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics). IEEE, 2011. http://dx.doi.org/10.1109/cad/graphics.2011.8.

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10

Nonaka, Yasuhide, Kento Morita, Tomohito Hagi, Tomoki Nakamura, Kunihiro Asanuma, Akihiro Sudo, Katsunori Uchida, and Tetsushi Wakabayashi. "CNN Based survivability prediction Using Pathological Image of Soft Tissue Tumor." In 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2022. http://dx.doi.org/10.1109/smc53654.2022.9945076.

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Звіти організацій з теми "3D soft tissue prediction"

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Steegman, Ralph, Anne-Marie Renkema, Herman Verbeek, Adriaan Schoeman, Anne Marie Kuijpers-Jagtman, and Yijin Ren. Upper Airway Volumetric Changes on CBCT after Orthodontic Interventions: protocol for a systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2022. http://dx.doi.org/10.37766/inplasy2022.4.0017.

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Review question / Objective: Does the volume of the upper airway change after an orthodontic intervention? P: growing subjects, adults; I: orthodontic treatment, dentofacial orthopedics, extractions; C: untreated subjects and/or non-extractions; O: volumetric changes of the upper airway measured on CBCT scans. Condition being studied: The primary objective of orthodontic treatment is to establish optimal dental and/or skeletal relationship in harmony with the soft tissue morphology and functioning. In addition, un-impeding or facilitating airway growth and development is an important objective, especially in patients susceptible for airway obstruction or sleep apnea. It is therefore important to look into the effect of various orthodontic treatments on the 3D volumetric changes of the upper airway. Compared with the use of traditional 2D lateral cephalograms, CBCT scans provide the opportunity to perform measurements in more dimensions on the airway with demonstrated reliability. This systematic review therefore includes studies using CBCT scans for evaluation of the airway.
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