scholarly journals Predicting calvarial morphology in sagittal craniosynostosis

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Oyvind Malde ◽  
Connor Cross ◽  
Chien L. Lim ◽  
Arsalan Marghoub ◽  
Michael L. Cunningham ◽  
...  
Keyword(s):  
Finite Element ◽  
Input Parameter ◽  
Surgical Techniques ◽  
Element Model ◽  
Specific Model ◽  
Patient Specific ◽  
Sagittal Craniosynostosis ◽  
Sensitivity Tests ◽  
Ct Data

AbstractEarly fusion of the sagittal suture is a clinical condition called, sagittal craniosynostosis. Calvarial reconstruction is the most common treatment option for this condition with a range of techniques being developed by different groups. Computer simulations have a huge potential to predict the calvarial growth and optimise the management of this condition. However, these models need to be validated. The aim of this study was to develop a validated patient-specific finite element model of a sagittal craniosynostosis. Here, the finite element method was used to predict the calvarial morphology of a patient based on its preoperative morphology and the planned surgical techniques. A series of sensitivity tests and hypothetical models were carried out and developed to understand the effect of various input parameters on the result. Sensitivity tests highlighted that the models are sensitive to the choice of input parameter. The hypothetical models highlighted the potential of the approach in testing different reconstruction techniques. The patient-specific model highlighted that a comparable pattern of calvarial morphology to the follow up CT data could be obtained. This study forms the foundation for further studies to use the approach described here to optimise the management of sagittal craniosynostosis.

Development of a Patient-Specific Nonlinear Finite Element Model for the Simulation of Lung Motion During Cancer Radiation Therapy

2009 ◽  
Author(s):  
Jaesung Eom ◽  
Chengyu Shi ◽  
George Xu ◽  
Suvranu De
Keyword(s):  
Finite Element ◽  
Radiation Therapy ◽  
Finite Element Model ◽  
Element Model ◽  
Nonlinear Finite Element ◽  
Patient Specific ◽  
Lung Motion ◽  
Ct Data ◽  
The Right ◽  
Nonlinear Finite Element Model

Respiratory motion causes either over-dose to the tumor or under-dose to the organ at risk in radiation therapy treatment for cancer. In order to characterize the motion, a nonlinear finite element model of the lungs has been developed based on 4D computed tomography (CT) data of a cancer patient with a tumor in the right lung. Pressure-volume (PV) curve data was applied to deform the model in real time. Realistic results are obtained when contact conditions are imposed between the pleura and the thoracic cavity.

Patient-Specific Approach to Mitral Valve Replacement in Infants Weighing 10 kilograms or less

2019 ◽  
Vol 10 (3) ◽  
pp. 304-312
Author(s):  
Kathryn Mater ◽  
Julian Ayer ◽  
Ian Nicholson ◽  
David Winlaw ◽  
Richard Chard ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Valve Replacement ◽  
Mitral Valve Replacement ◽  
Surgical Techniques ◽  
Somatic Growth ◽  
Mechanical Valve ◽  
Left Ventricular ◽  
Patient Specific ◽  
Mechanical Prostheses

Background: Mitral valve replacement (MVR) is the only option for infants with severe mitral valve disease that is not reparable; however, previously reported outcomes are not always favorable. Our institution has followed a tailored approach to sizing and positioning of mechanical valve prostheses in infants requiring MVR in order to obtain optimal outcomes. Methods: Outcomes for 22 infants ≤10 kg who have undergone MVR in Sydney, Australia, from 1998 to 2016, were analyzed. Patients were at a mean age of 6.8 ± 4.1 months (range: 0.8-13.2 months) and a mean weight of 5.4 ± 1.8 kg at the time of MVR. Most patients (81.8%) had undergone at least one previous cardiac surgical procedure prior to MVR, and 36.4% had undergone two previous procedures. Several surgical techniques were used to implant mechanical bileaflet prostheses. Results: All patients received bileaflet mechanical prostheses, with 12 receiving mitral prostheses and 10 receiving inverted aortic prostheses. Surgical technique varied between patients with valves implanted intra-annularly (n = 6), supra-annularly (n = 11), or supra-annularly with a tilt (n = 5). After a mean follow-up period of 6.2 ± 4.4 years, the survival rate was 100%. Six (27.3%) patients underwent redo MVR a mean of 102.2 ± 10.7 months after initial MVR. Four (18.2%) patients required surgical reintervention for development of left ventricular outflow tract obstruction and three (13.6%) patients required permanent pacemaker placement during long-term follow-up. Conclusions: The tailored surgical strategy utilized for MVR in infants at our institution has resulted in reliable valve function and excellent survival. Although redo is inevitable due to somatic growth, the bileaflet mechanical prostheses used displayed appropriate durability.

scholarly journals Physical validation of a patient-specific contact finite element model of the ankle

2007 ◽  
Vol 40 (8) ◽  
pp. 1662-1669 ◽  
Author(s):  
Donald D. Anderson ◽  
Jane K. Goldsworthy ◽  
Wendy Li ◽  
M. James Rudert ◽  
Yuki Tochigi ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Element Model ◽  
Patient Specific ◽  
Specific Contact
Sign in / Sign up

Export Citation Format

Share Document