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ePoster
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Institution: Department of Cardiothoracic Surgery, University Hospital Geelong, Barwon Health - Victoria, Australia
Purpose: Lung resection requires detailed knowledge of broncho-vascular anatomy including the 3D inter-relationships between structures. Surgeons and trainees construct mental 3D images using 2D CT and graphical representations. This project demonstrates how to convert CT images of the chest into a detailed 3D printed model. Potential benefits include anatomical learning, informed patient discussion, and operative planning.
Methodology: Contrast enhanced CT images of the chest were acquired as DICOM files at a slice thickness of 1.0mm and converted into detailed 3D replicas of the pulmonary veins, pulmonary arteries, and tracheobronchial tree using Slicer (freely accessible software). The 3D models were analysed for anatomical accuracy and variations, then printed using an Ender 3D printer and polylactic acid filament in different colours with overhangs braced by grid supports. The supports were removed and a Dremel rotary tool was used to trim the models that were then assembled into the final model.
Results: A detailed and accurate 3D model of pulmonary broncho-vascular anatomy was created. Printing was simple but attention to creation and careful removal of supporting structures is essential to avoid inadvertent loss of distal structures. The model provides a unique way to visualise 3D inter-relationships between the airways and pulmonary vasculature. The department has found the model valuable for learning, operative planning, and to aid discussions with patients and carers. Images of the models can be found at: https://shorturl.at/XhBqH.
Conclusion: CT images of the chest can be rendered into 3D models and printed using freely available software. Critical aspects include the creation of 3D models in Slicer, balancing detail versus utility and practicality during 3D printing, and selection and removal of printing supports. These models provide clear and accurate visualisations of lung anatomy making them valuable tools in both educational and clinical settings.
Presenters
Authors
Authors
Mr Victor Shahen - , A/Prof Cheng-Hon Yap - , Mr Tyler Byrom - , Dr Michael Byrom -