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A Personalized 3D-Printed Model for Preoperative Evaluation in Thyroid Surgery
Published on: February 17, 2023
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A Personalized 3D-Printed Model for Preoperative Evaluation in Thyroid Surgery.
Pengyu Li1, YIFei Chen2, Wanjun Zhao3
1Department of Thyroid Surgery, West China Hospital, Sichuan University.
Journal of Visualized Experiments : Jove
|March 6, 2023
Summary
This study introduces 3D-printed thyroid surgery models from CT scans. These personalized models improve surgical planning, reduce complications, and aid patient communication.
Area of Science:
- Surgical Oncology
- Medical Imaging
- Biomedical Engineering
Background:
- Thyroid cancer surgery involves complex anatomy, necessitating careful preoperative evaluation of tumor proximity to critical structures.
- Accurate assessment of the relationship between the tumor and surrounding tissues like the trachea, esophagus, nerves, and blood vessels is crucial for surgical success.
Purpose of the Study:
- To introduce an innovative method for creating personalized 3D-printed models of the thyroid surgery field using computerized tomography (CT) DICOM images.
- To enhance preoperative surgical planning and strategy formulation for thyroid cancer operations.
Main Methods:
- Development of a 3D-printed model establishment technique utilizing patient-specific CT DICOM data.
- Personalized 3D models were created for each patient undergoing thyroid surgery.
Main Results:
- The 3D-printed models facilitated comprehensive preoperative evaluation of surgical complexities.
- Clear visualization of the recurrent laryngeal nerve and parathyroid glands in the models aided in preventing intraoperative injury.
- The models improved preoperative discussions and informed consent processes.
Conclusions:
- Personalized 3D-printed models are valuable tools for thyroid cancer surgery, improving planning and reducing operative risks.
- These models can decrease the incidence of hypoparathyroidism and recurrent laryngeal nerve injury complications.
- The intuitive nature of 3D models enhances communication between clinicians and patients.

