Envisioning simulation in the future of thoracic surgical education

Carpenter, Andrea J.; Yang, Stephen C.; Uhlig, Paul N.; Colson, Yolonda L.

doi:10.1016/j.jtcvs.2007.12.005

Cited by 66 publications

(44 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Seven years ago, the Thoracic Surgery Foundation for Research and Education held the Visioning Simulation Conference (VSC) to accelerate the implementation of simulation in cardiothoracic (CT) surgery. 1 Discussion about technologic, financial, and political barriers to the implementation of simulation in CT surgery led to numerous advances, and this report summarizes much of the published data on simulation in cardiac, general thoracic, and endovascular surgery to date.…”

Section: Supplemental Materials Is Available Onlinementioning

confidence: 99%

Simulation in cardiothoracic surgical training: Where do we stand?

Trehan

Kemp

Yang

2014

The Journal of Thoracic and Cardiovascular Surgery

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Supplemental Materials Is Available Onlinementioning

confidence: 99%

Simulation in cardiothoracic surgical training: Where do we stand?

Trehan

Kemp

Yang

2014

The Journal of Thoracic and Cardiovascular Surgery

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, Carpenter et al. concluded that computer‐based simulations can focus on surgically relevant anatomic relations, preoperative planning, and procedural steps for initiating and withdrawing of CPB (19). This indicates the importance of a patient simulation model that allows the level of difficulty to be selected during training.…”

Section: Discussionmentioning

confidence: 99%

An Educational Training Simulator for Advanced Perfusion Techniques Using a High‐Fidelity Virtual Patient Model

et al. 2012

View full text Add to dashboard Cite

The operation of cardiopulmonary bypass procedure requires an advanced skill in both physiological and mechanical knowledge. We developed a virtual patient simulator system using a numerical cardiovascular regulation model to manage perfusion crisis. This article evaluates the ability of the new simulator to prevent perfusion crisis. It combined short-term baroreflex regulation of venous capacity, vascular resistance, heart rate, time-varying elastance of the heart, and plasma-refilling with a simple lumped parameter model of the cardiovascular system. The combination of parameters related to baroreflex regulation was calculated using clinical hemodynamic data. We examined the effect of differences in autonomous-nerve control parameter settings on changes in blood volume and hemodynamic parameters and determined the influence of the model on operation of the control arterial line flow and blood volume during the initiation and weaning from cardiopulmonary bypass. Typical blood pressure (BP) changes (hypertension, stable, and hypotension) were reproducible using a combination of four control parameters that can be estimated from changes in patient physiology, BP, and blood volume. This simulation model is a useful educational tool to learn the recognition and management skills of extracorporeal circulation. Identification method for control parameter can be applied for diagnosis of heart failure.

show abstract

“…The pipeline was introduced as a significant incremental step towards achieving accurate seed placement in LDR lung brachytherapy system development. Another potential application for the proposed technique is the development of virtual reality systems [38,39] which can be used to train thoracic surgery residents. The main emphasis of the pipeline is the development of a lung FE model capable of predicting the tumor motion as a function of the respiration phase.…”

Section: Discussionmentioning

confidence: 99%

Towards modeling tumor motion in the deflated lung for minimally invasive ablative procedures

Sadeghi‐Naini

Shirzadi²,

Samani³

2012

Computer Aided Surgery

View full text Add to dashboard Cite

A computational model is proposed to demonstrate the feasibility of characterizing the motion of lung tumors caused by respiratory diaphragm forces using a tissue biomechanics approach. Compensating for such motion is very important for developing effective systems of minimally invasive tumor ablative procedures, e.g., Low Dose Rate (LDR) lung brachytherapy. To minimize the effects of respiratory motion, the target lung is almost completely deflated before starting such procedures. However, a significant amount of motion persists in the target lung due to the diaphragm contact forces required for the other lung's respiration. In this study, a model pipeline was developed which inputs a pre-operative 4D-CT image sequence of the lung to output the predicted 3D motion trajectory of the tumor over the respiratory cycle. A finite element method was used in this pipeline to model the lung tissue deformation in order to predict the tumor motion. Experiments were conducted on an ex vivo porcine lung to demonstrate the performance and assess the accuracy of the proposed pipeline. The resultant tumor motion trajectory obtained from the biomechanical model of the lung was compared to the experimental trajectory obtained from CT imaging. Results were promising, suggesting that tissue mechanics-based modeling can be employed for effective characterization of lung tumor respiratory motion to improve accuracy in lung tumor ablative procedures.

show abstract

Envisioning simulation in the future of thoracic surgical education

Cited by 66 publications

References 0 publications

Simulation in cardiothoracic surgical training: Where do we stand?

Simulation in cardiothoracic surgical training: Where do we stand?

An Educational Training Simulator for Advanced Perfusion Techniques Using a High‐Fidelity Virtual Patient Model

Towards modeling tumor motion in the deflated lung for minimally invasive ablative procedures

Contact Info

Product

Resources

About