High-Fidelity 3D Printing of Branched Tubular Tissues: Quantitative Geometric Validation and Functional Coronary Perfusion Simulation

Jieling Zhao , Chunlan Chen , Congcong Huang , Jiamin Zhang , Zijie Yuan , Tingyi Xiao , Yuee Dai , Guihua Wei

MEDCOMM - Biomaterials and Applications ›› 2026, Vol. 5 ›› Issue (2) : e70055

PDF (4511KB)
MEDCOMM - Biomaterials and Applications ›› 2026, Vol. 5 ›› Issue (2) :e70055 DOI: 10.1002/mba2.70055
ORIGINAL ARTICLE
High-Fidelity 3D Printing of Branched Tubular Tissues: Quantitative Geometric Validation and Functional Coronary Perfusion Simulation
Author information +
History +
PDF (4511KB)

Abstract

Tubular tissues, including the trachea, pulmonary artery, and coronary artery, possess the complex branched geometries crucial for physiological functions. This study presents a rigorous quantitative framework for evaluating the geometric accuracy of 3D-printed tubular models. By leveraging high-resolution CT imaging and computational reconstruction, the framework provides a high-fidelity basis for simulating coronary blood flow. Utilizing Mimics and 3-matic software, anatomical structures were converted into 3D STL files. Accuracy was assessed by comparing these files to the original DICOM images and subsequently comparing 3D-printed physical models back to the digital STL counterparts via multi-axial measurements at identical anatomical landmarks along the X, Y, and Z axes. Statistical validation, including linear regression, Pearson's correlation, ICC, and Bland–Altman plots, revealed the excellent geometric fidelity (r2 > 0.99, ICC = 0.98) with negligible localized deformations. Furthermore, we integrated coronary blood flow-perfusion simulation under the normal and diseased conditions to demonstrate the potential of the reconstructed model as a non-invasive tool for diagnosis and treatment planning. These findings validate the precision and reliability of high-fidelity 3D-printed tubular as reliable tools for preoperative planning, personalized surgical simulation, and advanced medical education. Also, this study provided a robust platform for improving clinical outcomes in complex branched tissue interventions.

Keywords

3D printing / branched tubular / coronary perfusion simulation / high-fidelity / quantitative geometric validation

Cite this article

Download citation ▾
Jieling Zhao, Chunlan Chen, Congcong Huang, Jiamin Zhang, Zijie Yuan, Tingyi Xiao, Yuee Dai, Guihua Wei. High-Fidelity 3D Printing of Branched Tubular Tissues: Quantitative Geometric Validation and Functional Coronary Perfusion Simulation. MEDCOMM - Biomaterials and Applications, 2026, 5 (2) : e70055 DOI:10.1002/mba2.70055

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

A. J. Boys, S. L. Barron, D. Tilev, and R. M. Owens, “Building Scaffolds for Tubular Tissue Engineering,” Frontiers in Bioengineering and Biotechnology 8 (2020): 589960.

[2]

T. Bartel, A. Rivard, A. Jimenez, C. A. Mestres, and S. Müller, “Medical Three-Dimensional Printing Opens Up New Opportunities in Cardiology and Cardiac Surgery,” European Heart Journal 39, no. 15 (April 2018): 1246–1254.

[3]

S. Gerling, O. Loose, R. Zant, et al., “Echocardiographic Diagnosis of Congenital Coronary Artery Abnormalities in a Continuous Series of Adolescent Football Players,” European Journal of Preventive Cardiology 26, no. 9 (June 2019): 988–994.

[4]

L. Zhang, L. Wang, X. Kadeer, et al., “Accuracy of a 3-Dimensionally Printed Navigational Template for Localizing Small Pulmonary Nodules: A Noninferiority Randomized Clinical Trial,” JAMA Surgery 154, no. 4 (April 2019): 295–303.

[5]

Q. Meng, T. Kitasaka, Y. Nimura, M. Oda, J. Ueno, and K. Mori, “Automatic Segmentation of Airway Tree Based on Local Intensity Filter and Machine Learning Technique in 3D Chest CT Volume,” International Journal of Computer Assisted Radiology and Surgery 12, no. 2 (February 2017): 245–261.

[6]

E. Y. Choi, Y. W. Yoon, H. M. Kwon, et al., “A Case of Pulmonary Artery Intimal Sarcoma Diagnosed With Multislice CT Scan With 3D Reconstruction,” Yonsei Medical Journal 45, no. 3 (June 2004): 547–551.

[7]

D. T. Lee, P. Venkatesh, K. Bravo-Jaimes, et al., “Using a 3-Dimensional Printed Model to Plan Percutaneous Closure of an Unroofed Coronary Sinus,” Circ Cardiovasc Imaging 14, no. 10 (October 2021): e013018.

[8]

J. Yang, P. Luo, Z. Wang, and J. Shen, “Simulation Training of Laparoscopic Pancreaticojejunostomy and Stepwise Training Program on a 3D-printed Model,” International Journal of Surgery 107 (November 2022): 106958.

[9]

D. D. Wang, Z. Qian, M. Vukicevic, et al., “3D Printing, Computational Modeling, and Artificial Intelligence for Structural Heart Disease,” JACC: Cardiovascular Imaging 14, no. 1 (January 2021): 41–60.

[10]

W. Zheng, C. Chen, C. Zhang, Z. Tao, and L. Cai, “The Feasibility of 3D Printing Technology on the Treatment of Pilon Fracture and Its Effect on Doctor-Patient Communication,” BioMed Research International 2018 (2018): 8054698.

[11]

B. H. K. Ho, C. J. Chen, G. J. S. Tan, et al., “Multi-Material Three Dimensional Printed Models for Simulation of Bronchoscopy,” BMC Medical Education 19, no. 1 (June 2019): 236.

[12]

J. T. Poterucha, T. A. Foley, and N. W. Taggart, “Percutaneous Pulmonary Valve Implantation in a Native Outflow Tract,” JACC: Cardiovascular Interventions 7, no. 10 (October 2014): e151–e152.

[13]

S. Lee, A. Squelch, and Z. Sun, “Quantitative Assessment of 3D Printed Model Accuracy in Delineating Congenital Heart Disease,” Biomolecules 11, no. 2 (February 2021): 270.

[14]

A. A. Giannopoulos, D. Mitsouras, S. J. Yoo, P. P. Liu, Y. S. Chatzizisis, and F. J. Rybicki, “Applications of 3D Printing in Cardiovascular Diseases,” Nature Reviews Cardiology 13, no. 12 (December 2016): 701–718.

[15]

B. N. Modi, M. Ryan, A. Chattersingh, et al., “Optimal Application of Fractional Flow Reserve to Assess Serial Coronary Artery Disease: A 3D-Printed Experimental Study With Clinical Validation,” Journal of the American Heart Association 7, no. 20 (October 2018): e010279.

[16]

H. S. Jeon, Y. I. Kim, J. H. Lee, et al., “Failed Thrombus Aspiration and Reduced Myocardial Perfusion in Patients With STEMI and Large Thrombus Burden,” JACC: Cardiovascular Interventions 17, no. 19 (October 2024): 2216–2225.

[17]

G. Montino Pelagi, F. Regazzoni, J. M. Huyghe, et al., “Modeling Cardiac Microcirculation for the Simulation of Coronary Flow and 3D Myocardial Perfusion,” Biomechanics and Modeling in Mechanobiology 23, no. 6 (December 2024): 1863–1888.

[18]

C. A. Wilson, O. J. Arthurs, A. E. Black, et al., “Printed Three-Dimensional Airway Model Assists Planning of Single-Lung Ventilation in a Small Child,” British Journal of Anaesthesia 115, no. 4 (October 2015): 616–620.

[19]

J. H. Park, J. K. Yoon, J. B. Lee, et al., “Experimental Tracheal Replacement Using 3-dimensional Bioprinted Artificial Trachea With Autologous Epithelial Cells and Chondrocytes,” Scientific Reports 9, no. 1 (February 2019): 2103.

[20]

W. Hu, K. Zhang, X. Han, et al., “Three-Dimensional Computed Tomography Angiography and Bronchography Combined With Three-Dimensional Printing for Thoracoscopic Pulmonary Segmentectomy in Stage IA Non-Small Cell Lung Cancer,” Journal of Thoracic Disease 13, no. 2 (February 2021): 1187–1195.

[21]

Z. Sun and S. Jansen, “Personalized 3D Printed Coronary Models in Coronary Stenting,” Quantitative Imaging in Medicine and Surgery 9, no. 8 (August 2019): 1356–1367.

[22]

M. Lee, S. Moharem-Elgamal, R. Beckingham, et al., “Evaluating 3D-printed Models of Coronary Anomalies: A Survey Among Clinicians and Researchers at a University Hospital in the UK,” BMJ Open 9, no. 3 (March 2019): e025227.

[23]

I. Valverde, G. Gomez-Ciriza, T. Hussain, et al., “Three-Dimensional Printed Models for Surgical Planning of Complex Congenital Heart Defects: An International Multicentre Study,” European Journal of Cardio-Thoracic Surgery 52, no. 6 (December 2017): 1139–1148.

[24]

I. W. W. Lau and Z. Sun, “Dimensional Accuracy and Clinical Value of 3D Printed Models in Congenital Heart Disease: A Systematic Review and Meta-Analysis,” Journal of Clinical Medicine 8, no. 9 (September 2019): 1483.

[25]

J. Huang, H. Shi, Q. Chen, et al., “Three-Dimensional Printed Model Fabrication and Effectiveness Evaluation in Fetuses With Congenital Heart Disease or With a Normal Heart,” Journal of Ultrasound in Medicine 40, no. 1 (January 2021): 15–28.

[26]

M. Lyu, R. Torii, C. Liang, et al., “Predictive Computational Framework to Provide a Digital Twin for Personalized Cardiovascular Medicine,” Communications Medicine 5, no. 1 (August 2025): 370.

[27]

H. Ramaraju, A. M. Landry, S. Sashidharan, et al., “Clinical Grade Manufacture of 3D Printed Patient Specific Biodegradable Devices for Pediatric Airway Support,” Biomaterials 289 (October 2022): 121702.

[28]

N. Aroney, K. Lau, L. Daniele, D. Burstow, and D. Walters, “Three-Dimensional Printing: to Guide Management of a Right Coronary Artery to Left Ventricular Fistula,” European Heart Journal—Cardiovascular Imaging 19, no. 3 (March 2018): 268.

[29]

J. Parthasarathy, H. Hatoum, D. C. Flemister, et al., “Assessment of Transfer of Morphological Characteristics of Anomalous Aortic Origin of a Coronary Artery From Imaging to Patient Specific 3D Printed Models: A Feasibility Study,” Computer Methods and Programs in Biomedicine 201 (April 2021): 105947.

[30]

J. Witowski, S. Darocha, Ł. Kownacki, et al., “Augmented Reality and Three-Dimensional Printing in Percutaneous Interventions on Pulmonary Arteries,” Quantitative Imaging in Medicine and Surgery 9, no. 1 (January 2019): 23–29.

[31]

Y. Yang, X. Liu, Y. Xia, et al., “Impact of Spatial Characteristics in the Left Stenotic Coronary Artery on the Hemodynamics and Visualization of 3D Replica Models,” Scientific Reports 7, no. 1 (November 2017): 15452.

[32]

Z. Galliger, C. D. Vogt, and A. Panoskaltsis-Mortari, “3D Bioprinting for Lungs and Hollow Organs,” Translational Research 211 (September 2019): 19–34.

[33]

M. Farajtabar, M. M. Larimi, M. Biglarian, D. Sabour, and M. Miansari, “Machine Learning Identification Framework of Hemodynamics of Blood Flow in Patient-Specific Coronary Arteries With Abnormality,” Journal of Cardiovascular Translational Research 16, no. 3 (June 2023): 722–737.

[34]

S. Sankaran, M. Esmaily Moghadam, A. M. Kahn, E. E. Tseng, J. M. Guccione, and A. L. Marsden, “Patient-Specific Multiscale Modeling of Blood Flow for Coronary Artery Bypass Graft Surgery,” Annals of Biomedical Engineering 40, no. 10 (October 2012): 2228–2242.

[35]

L. Papamanolis, H. J. Kim, C. Jaquet, et al., “Myocardial Perfusion Simulation for Coronary Artery Disease: A Coupled Patient-Specific Multiscale Model,” Annals of Biomedical Engineering 49, no. 5 (May 2021): 1432–1447.

[36]

A. Updegrove, N. M. Wilson, J. Merkow, H. Lan, A. L. Marsden, and S. C. Shadden, “SimVascular: An Open Source Pipeline for Cardiovascular Simulation,” Annals of Biomedical Engineering 45, no. 3 (March 2017): 525–541.

[37]

C. P. Huded, J. A. Spertus, P. G. Jones, et al., “Health Status Outcomes With Percutaneous Coronary Intervention and Coronary Artery Bypass Grafting in ISCHEMIA,” Circulation 152, no. 12 (September 2025): 846–858.

RIGHTS & PERMISSIONS

2026 The Author(s). MedComm - Biomaterials and Applications published by John Wiley & Sons Australia, Ltd on behalf of Sichuan International Medical Exchange & Promotion Association (SCIMEA).

PDF (4511KB)

1

Accesses

0

Citation

Detail

Sections
Recommended

/