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Updated: Apr 19, 2026

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Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
Published on: November 11, 2020
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Airway stent insertion simulated with a three-dimensional printed airway model
Takuro Miyazaki1, Naoya Yamasaki2, Tomoshi Tsuchiya1
1Department of Surgical Oncology, Nagasaki Graduate School of Biomedical Sciences, Nagasaki, Japan.
The Annals of Thoracic Surgery
|January 4, 2015
Summary
A 30-year-old man received a lung transplant for COPD. A 3D printed model guided the successful insertion of a Y-shaped airway stent to treat bronchial stenosis, improving his condition.
Area of Science:
- * Medical engineering and thoracic surgery.
- * Application of advanced 3D printing technology in personalized medicine.
Background:
- * Chronic obstructive pulmonary disease (COPD) is a leading indication for lung transplantation.
- * Bronchial anastomosis complications, such as ischemic changes and stenosis, can occur post-transplantation.
- * Management of airway stenosis often requires complex interventions.
Observation:
- * A 30-year-old male patient developed intermediate bronchus stenosis after right single-lung transplantation.
- * A modified Y-shaped airway stent was designed and fabricated for the patient's specific anatomy.
- * A patient-specific 3D printed bronchial model was created for pre-surgical simulation.
Findings:
- * The Y-shaped airway stent was successfully inserted using rigid bronchoscopy.
- * Preoperative surgical simulation using the 3D printed model facilitated an easier, quicker, and successful procedure.
- * The patient experienced clinical improvement following the stent implantation.
Implications:
- * 3D printed patient-specific models can significantly enhance surgical planning and execution in complex airway reconstructions.
- * Personalized airway stent design and implantation offer a viable solution for post-transplant bronchial stenosis.
- * This approach demonstrates the potential of integrating additive manufacturing into thoracic surgical practice for improved patient outcomes.

