Three-Dimensional Soft Tissue Prediction Using Finite Elements

Abstract Background and Aim: The prediction of soft tissue esthetics is important for achieving an optimal esthetic outcome in orthodontic treatment planning. Applicable procedures have so far been restricted to two-dimensional profile predictions that have not proven to be very reliable. The goal of this investigation was therefore to develop a novel finite element-based procedure that allows a three-dimensional, easily visualized, quantitative analysis and prediction of soft tissue behavior for the clinician. The procedure to be developed should be easy to handle and not entail any additional radiation exposure for the patient. Material and Methods: Using a three-dimensional scanner, the facial surfaces of 20 probands were digitalized and individual FEM models were generated. Results: After reduction of data redundancy via several conversion steps, a patient-specific simulation model was prepared consisting of 20,000 to 40,000 individual elements to which specific physical properties could be assigned. The average time required for generating a virtual model was 50 minutes. Problems occurring during model generation were rare (mainly shadowing phenomena and movement artifacts). Conclusion: The procedure outlined herein makes the reliable generation of patient-specific simulation models possible for facial soft tissue prediction in orthodontics.     

西洋参锈腐病菌拮抗放线菌F05发酵培养基的优化

目的:从老参地土壤中分离得到一株对西洋参锈腐病菌具有良好拮抗作用的菌株F05,对该菌株的发酵培养基进行了初步研究,确定了其最佳培养基组成.方法:利用单因素试验和均匀设计试验优化培养基组分.结果:优化结果碳源为玉米秆粉,氮源为磷酸氢二铵,无机盐为硫酸镁、磷酸氢二钾,质量分数分别为3.720 6%,0.531 2%,0.035 5%,0.040 0%,优化后活菌生物量为1.57×10~9CFU·mL~(-1).     

Simultaneous versus sequential optimal design for pharmacokinetic-pharmacodynamic models with FO and FOCE considerations

We consider nested multiple response models which are used extensively in the area of pharmacometrics. Given the conditional nature of such models, differences in predicted responses are a consequence of different assumptions about how the models interact. As such, sequential versus simultaneous and First Order (FO) versus First Order Conditional Estimation (FOCE) techniques have been explored in the literature where it was found that the sequential and FO approaches can produce biased results. It is therefore of interest to determine any design consequences between the various methods and approximations. As optimal design for nonlinear mixed effects models is dependent upon initial parameter estimates and an approximation to the expected Fisher information matrix, it is necessary to incorporate any influence of nonlinearity (or parameter-effects curvature) into our exploration. Hence, sequential versus simultaneous design with FO and FOCE considerations are compared under low, typical and high degrees of nonlinearity. Additionally, predicted standard errors of parameters are also compared to empirical estimates formed via a simulation/estimation study in NONMEM. Initially, design theory for nested multiple response models is developed and approaches mentioned above are investigated by considering a pharmacokinetic–pharmacodynamic model found in the literature. We consider design for situations where all responses are continuous and extend this methodology to the case where a response may be a discrete random variable. In particular, for a binary response pharmacodynamic model, it is conjectured that such responses will offer little information about all parameters and hence a sequential optimization, in the form of product design optimality, may yield near optimal designs.     

整形外科临床教学模式浅析

随着整形美容外科专业在我国的蓬勃发展,国内不同等级的医疗机构对经过正规培训的整形美容外科医生的需求逐年在增加。为了提高教学效果,针对整形外科不同层次的学生,我们采用了多种形式、有针对性的教学模式,并取得了一定的效果。本文分别从教学查房、手术带教、读书报告、技能培训、学术交流、专题讲座等多个层面浅析了整形外科临床教学模式。     

芪月降脂片制剂处方的优化

[目的 ]优化芪月降脂片的制剂处方 .[方法 ]采用正交设计和多指标综合评分法对已筛选出的药剂辅料进行处方优化 .[结果 ]最佳制剂处方为糖粉 50 g ,辅料X 50g ,微晶纤维素 75g .[结论 ]该处方合理 ,成型性好     

关于医学生外科临床实习质量的探讨

外科是一门实践性很强的学科，如何培养实用型医学人才是摆在我们面前的首要问题。本文分析了外科临床实习中存在的问题，并提出一些应对措施。     

Fisher information matrix for nonlinear mixed effects multiple response models: Evaluation of the appropriateness of the first order linearization using a pharmacokinetic/pharmacodynamic model

We focus on the Fisher information matrix used for design evaluation and optimization in nonlinear mixed effects multiple response models. We evaluate the appropriateness of its expression computed by linearization as proposed for a single response model. Using a pharmacokinetic–pharmacodynamic (PKPD) example, we first compare the computation of the Fisher information matrix with approximation to one derived from the observed matrix on a large simulation using the stochastic approximation expectation–maximization algorithm (SAEM). The expression of the Fisher information matrix for multiple responses is also evaluated by comparison with the empirical information obtained through a replicated simulation study using the first‐order linearization estimation methods implemented in the NONMEM software (first‐order (FO), first‐order conditional estimate (FOCE)) and the SAEM algorithm in the MONOLIX software. The predicted errors given by the approximated information matrix are close to those given by the information matrix obtained without linearization using SAEM and to the empirical ones obtained with FOCE and SAEM. The simulation study also illustrates the accuracy of both FOCE and SAEM estimation algorithms when jointly modelling multiple responses and the major limitations of the FO method. This study highlights the appropriateness of the approximated Fisher information matrix for multiple responses, which is implemented in PFIM 3.0, an extension of the R function PFIM dedicated to design evaluation and optimization. It also emphasizes the use of this computing tool for designing population multiple response studies, as for instance in PKPD studies or in PK studies including the modelling of the PK of a drug and its active metabolite. Copyright © 2009 John Wiley & Sons, Ltd.     

搞好"病原生物学"教学及促进学科发展的实践与体会

将“医学微生物学”和“人体寄生虫学”整合为“病原生物学”符合现代医学教育的取向。中国医科大学是将两个教研室从形式到实质性合并为“病原生物学”教研室，并且将两门课完全融合成一门课程和一套教师队伍进行教学的少数院校之一。本文总结了在这一新学科教学和促进学科发展中的经验和体会。     

概念设计在结构设计中的重要性

通过对某一工程的设计分析，表明了概念设计在结构设计中的重要性。     

One‐ and two‐stage design proposals for a phase II trial comparing three active treatments with control using an ordered categorical endpoint

Phase II clinical trials are performed to investigate whether a novel treatment shows sufficient promise of efficacy to justify its evaluation in a subsequent definitive phase III trial, and they are often also used to select the dose to take forward. In this paper we discuss different design proposals for a phase II trial in which three active treatment doses and a placebo control are to be compared in terms of a single‐ordered categorical endpoint. The sample size requirements for one‐stage and two‐stage designs are derived, based on an approach similar to that of Dunnett. Detailed computations are prepared for an illustrative example concerning a study in stroke. Allowance for early stopping for futility is made. Simulations are used to verify that the specified type I error and power requirements are valid, despite certain approximations used in the derivation of sample size. The advantages and disadvantages of the different designs are discussed, and the scope for extending the approach to different forms of endpoint is considered. Copyright © 2008 John Wiley & Sons, Ltd.