Abstract
Cardiovascular stents restore lumen patency, yet balloon-expandable designs may expand non-uniformly and traumatize vessels. A self-expandable, biodegradable stent is designed and computationally evaluated from shape-memory polymers (SMPs): poly(L-Lactic acid) (PLLA) and poly(lactic-co-glycolic acid) (PLGA). A hexagonal-nested lattice (Ø4 mm, length 40 mm, thickness 0.4 mm; rib width 0.5 mm; rib angle 120.39°; connector length 1 mm) was modeled in SOLIDWORKS and analyzed by finite elements. Physiological internal pressure (150 mmHg ≈ 0.02 MPa) assessed radial response and foreshortening across circumferential cell counts of 5, 6, and 7. Thermo-mechanical deployment followed the SMP sequence, heat to Tg, cool, crimp, holding time, reheat (Tg-PLLA ≈ 64 °C), to evaluate shape fixity and recovery. Reducing cells from 7 to 5 lowered peak von Mises stress (PLLA: ∼1.33 MPa–0.89 MPa), so the five-cell design was chosen for deployment. PLLA achieved high shape fixity (95 %) and near-complete recovery (>99 %) with negligible expansion stresses (10−6 MPa), indicating controlled self-deployment. PLGA showed inferior shape-memory metrics and was not advanced to detailed stress comparison. SMP-based biodegradable stents can combine low deployment stress with adequate radial support, and the presented workflow provides a reproducible computational basis for subsequent prototyping and in vitro validation.
Acknowledgment
Special thanks to the MNNIT Allahabad, Prayagraj, for providing the required computational facility. The first author sincerely recognises MHRD India for providing financial (PhD Fellowship) support.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: The data that support the findings of this study are available from the corresponding author, AY, upon reasonable request.
References
1. Gautam, A. J.; Wairkar, S. 3D-Printed Bioresorbable Vascular Stents: Emerging Frontiers in Personalized Cardiac Care. Polym. Bull. 2024, 81 (12), 10533–10560. https://doi.org/10.1007/s00289-024-05237-6.Search in Google Scholar
2. Hatayama, N.; Watanabe, T.; Yuhara, S.; Blais, B.; Armstrong, A. K.; Shinoka, T. Potential of Biodegradable Stents in Congenital Heart Disease. Biomed. Mater. Devices 2025, 3 (1), 349–366. https://doi.org/10.1007/s44174-024-00200-5.Search in Google Scholar
3. Scafa Udrişte, A.; Niculescu, A. G.; Grumezescu, A. M.; Bădilă, E. Cardiovascular Stents: A Review of Past, Current, and Emerging Devices. Materials (Basel) 2021, 14 (10). https://doi.org/10.3390/ma14102498.Search in Google Scholar PubMed PubMed Central
4. Schmidt, T.; Abbott, J. D. Coronary Stents: History, Design, and Construction. J. Clin. Med. 2018, 7 (6). https://doi.org/10.3390/jcm7060126.Search in Google Scholar PubMed PubMed Central
5. Karra, G.; Anila, S.; Bindhu, M. A Review on Coronary Stents: with Polymers and Without Polymers. J. Adv. Sci. Res. 2024, 15 (03), 01–05. https://doi.org/10.55218/jasr.2024150301.Search in Google Scholar
6. Pan, C.; Han, Y.; Lu, J. Structural Design of Vascular Stents: a Review. Micromachines 2021, 12 (7). https://doi.org/10.3390/mi12070770.Search in Google Scholar PubMed PubMed Central
7. Jia, H.; Gu, S. Y.; Chang, K. 3D Printed Self-Expandable Vascular Stents from Biodegradable Shape Memory Polymer. Adv. Polym. Technol. 2018, 37 (8), 3222–3228. https://doi.org/10.1002/adv.22091.Search in Google Scholar
8. Katayama, T.; Sakoda, N.; Yamamoto, F.; Ishizaki, M.; Iwasaki, Y. Balloon Rupture During Coronary Angioplasty Causing Dissection and Intramural Hematoma of the Coronary Artery; a Case Report. J. Cardiol. Cases 2010, 1 (1). https://doi.org/10.1016/j.jccase.2009.06.002.Search in Google Scholar PubMed PubMed Central
9. Su, S.-H. Mini Review of the Fully Bioabsorbable Polymeric Stents. Recent Patents Eng. 2008, 1 (3), 244–250. https://doi.org/10.2174/187221207782411584.Search in Google Scholar
10. Wu, H.; Yang, S.; Li, J.; Ma, T.; Yang, K.; Liao, T.; Feng, W.; Zhou, B.; Yong, X.; Zhou, K.; Hu, X. Current Status and Challenges of Shape Memory Scaffolds in Biomedical Applications. MedComm – Biomater. Appl. 2024, 3 (3). https://doi.org/10.1002/mba2.95.Search in Google Scholar
11. Wang, Q.; Fang, G.; Zhao, Y.; Wang, G.; Cai, T. Computational and Experimental Investigation into Mechanical Performances of Poly-L-Lactide Acid (PLLA) Coronary Stents. J. Mech. Behav. Biomed. Mater. 2017, 65, 415–427. https://doi.org/10.1016/j.jmbbm.2016.08.033.Search in Google Scholar PubMed
12. Duan, X.; Yang, Y.; Zhang, T.; Zhu, B.; Wei, G.; Li, H. Research Progress of Metal Biomaterials with Potential Applications as Cardiovascular Stents and Their Surface Treatment Methods to Improve Biocompatibility. Heliyon 2024, 10 (4). https://doi.org/10.1016/j.heliyon.2024.e25515.Search in Google Scholar PubMed PubMed Central
13. Kimber, I.; Basketter, D. A. Allergic Sensitization to Nickel and Implanted Metal Devices: A Perspective. Dermatitis 2022, 33 (6), 396–404. https://doi.org/10.1097/DER.0000000000000819.Search in Google Scholar PubMed PubMed Central
14. Cockerill, I.; See, C. W.; Young, M. L.; Wang, Y.; Zhu, D. Designing Better Cardiovascular Stent Materials: a Learning Curve. Adv. Funct. Mater. 2021, 31 (1). https://doi.org/10.1002/adfm.202005361.Search in Google Scholar PubMed PubMed Central
15. Pisani, S.; Genta, I.; Modena, T.; Dorati, R.; Benazzo, M.; Conti, B. Shape-Memory Polymers Hallmarks and Their Biomedical Applications in the Form of Nanofibers. Int. J. Mol. Sci. 2022, 23 (3). https://doi.org/10.3390/ijms23031290.Search in Google Scholar PubMed PubMed Central
16. Mather, P. T.; Luo, X.; Rousseau, I. A. Shape Memory Polymer Research. Annu. Rev. Mater. Res. 2009, 39, 445–471. https://doi.org/10.1146/annurev-matsci-082908-145419.Search in Google Scholar
17. Liu, C.; Qin, H.; Mather, P. T. Review of Progress in Shape-Memory Polymers. J. Mater. Chem. 2007, 17 (16), 1543–1558. https://doi.org/10.1039/b615954k.Search in Google Scholar
18. Gu, S. Y.; Gao, X. F.; Jin, S. P.; Liu, Y. L. Biodegradable Shape Memory Polyurethanes with Controllable Trigger Temperature. Chinese J. Polym. Sci. (English Ed. 2016, 34 (6), 720–729. https://doi.org/10.1007/s10118-016-1795-3.Search in Google Scholar
19. Yakacki, C. M.; Shandas, R.; Lanning, C.; Rech, B.; Eckstein, A.; Gall, K. Unconstrained Recovery Characterization of Shape-Memory Polymer Networks for Cardiovascular Applications. Biomaterials 2007, 28 (14), 2255–2263. https://doi.org/10.1016/j.biomaterials.2007.01.030.Search in Google Scholar PubMed PubMed Central
20. Kim, T.; Lee, Y. G. Shape Transformable Bifurcated Stents. Sci. Rep. 2018, 8 (1). https://doi.org/10.1038/s41598-018-32129-3.Search in Google Scholar PubMed PubMed Central
21. Shen, Y.; Yu, X.; Cui, J.; Yu, F.; Liu, M.; Chen, Y.; Wu, J.; Sun, B.; Mo, X. Development of Biodegradable Polymeric Stents for the Treatment of Cardiovascular Diseases. Biomolecules 2022, 12 (9). https://doi.org/10.3390/biom12091245.Search in Google Scholar PubMed PubMed Central
22. Middleton, J. C.; Tipton, A. J. Synthetic Biodegradable Polymers as Orthopedic Devices. Biomaterials 2000, 21 (23), 2335–2346. https://doi.org/10.1016/S0142-9612(00)00101-0.Search in Google Scholar PubMed
23. Yaacob, A.; Jamaludin, N. S. Biodegradable Polymers for Cardiac Tissue Engineering. Handb. Biodegrad. Mater. 2023, 979–1013. https://doi.org/10.1007/978-3-031-09710-2_44.Search in Google Scholar
24. Capuana, E.; Lopresti, F.; Ceraulo, M.; La Carrubba, V. Poly-L-Lactic Acid (PLLA)-based Biomaterials for Regenerative Medicine: A Review on Processing and Applications. Polymers (Basel) 2022, 14 (6). https://doi.org/10.3390/polym14061153.Search in Google Scholar PubMed PubMed Central
25. Moreno Raja, M.; Lim, P. Q.; Wong, Y. S.; Xiong, G. M.; Zhang, Y.; Venkatraman, S.; Huang, Y. Polymeric Nanomaterials: Methods of Preparation and Characterization. Nanocarriers Drug Deliv. Nanosci. Nanotechnol. Drug Deliv 2018, 557–653. https://doi.org/10.1016/B978-0-12-814033-8.00018-7.Search in Google Scholar
26. Srithep, Y.; Pholharn, D.; Morris, J. Injection-Molded Poly(L-Lactic Acid)/Poly(D-Lactic Acid) Blends: Thermal and Mechanical Properties. AIP Conf. Proc. 2065, 2019. https://doi.org/10.1063/1.5088277.Search in Google Scholar
27. Makadia, H. K.; Siegel, S. J. Poly lactic-co-glycolic Acid (PLGA) as Biodegradable Controlled Drug Delivery Carrier. Polymers (Basel) 2011, 3 (3), 1377–1397. https://doi.org/10.3390/polym3031377.Search in Google Scholar PubMed PubMed Central
28. Jain, R. A. The Manufacturing Techniques of Various Drug Loaded Biodegradable Poly(Lactide-Co-Glycolide) (PLGA) Devices. Biomaterials 2000, 21 (23), 2475–2490. https://doi.org/10.1016/S0142-9612(00)00115-0.Search in Google Scholar PubMed
29. Gentile, P.; Chiono, V.; Carmagnola, I.; Hatton, P. V. An Overview of Poly(Lactic-Co-Glycolic) Acid (PLGA)-based Biomaterials for Bone Tissue Engineering. Int. J. Mol. Sci. 2014, 15 (3), 3640–3659. https://doi.org/10.3390/ijms15033640.Search in Google Scholar PubMed PubMed Central
30. Buczynska, J.; Pamula, E.; Blazewicz, S. Mechanical Properties of (Poly(L-Lactide-Co-Glycolide))-Based Fibers Coated with Hydroxyapatite Layer. J. Appl. Polym. Sci. 2011, 121 (6), 3702–3709. https://doi.org/10.1002/app.34189.Search in Google Scholar
31. Jeong, J.; Yoon, S.; Yang, X.; Kim, Y. J. Super-Tough and Biodegradable Poly(Lactide-Co-Glycolide) (PLGA) Transparent Thin Films Toughened by Star-Shaped PCL-b-PDLA Plasticizers. Polymers (Basel) 2023, 15 (12). https://doi.org/10.3390/polym15122617.Search in Google Scholar
32. Murcia Valderrama, M. A.; Van Putten, R. J.; Gruter, G. J. M. PLGA Barrier Materials from CO2. the Influence of Lactide Co-Monomer on Glycolic Acid Polyesters. ACS Appl. Polym. Mater. 2020, 2 (7), 2706–2718. https://doi.org/10.1021/acsapm.0c00315.Search in Google Scholar
33. Kobielarz, M.; Tomanik, M.; Mroczkowska, K.; Szustakiewicz, K.; Oryszczak, M.; Mazur, A.; Antończak, A.; Filipiak, J. Laser-Modified Plga for Implants: in Vitro Degradation and Mechanical Properties. Acta Bioeng. Biomech. 2020, 22 (1), 179–192. https://doi.org/10.37190/ABB-01532-2019-02.Search in Google Scholar
34. Bukala, J.; Buszman, P. P.; Malachowski, J.; Mazurkiewicz, L.; Sybilski, K. Experimental Tests, FEM Constitutive Modeling and Validation of PLGA Bioresorbable Polymer for Stent Applications. Materials (Basel) 2020, 13 (8). https://doi.org/10.3390/MA13082003.Search in Google Scholar
35. Park, K.; Otte, A.; Sharifi, F.; Garner, J.; Skidmore, S.; Park, H.; Jhon, Y. K.; Qin, B.; Wang, Y. Potential Roles of the Glass Transition Temperature of PLGA Microparticles in Drug Release Kinetics. Mol. Pharm. 2021, 18 (1), 18–32. https://doi.org/10.1021/acs.molpharmaceut.0c01089.Search in Google Scholar
36. Liu, G.; McEnnis, K. Glass Transition Temperature of PLGA Particles and the Influence on Drug Delivery Applications. Polymers (Basel) 2022, 14 (5). https://doi.org/10.3390/polym14050993.Search in Google Scholar
37. Rieu, R.; Barragan, P.; Masson, C.; Fuseri, J.; Garitey, V.; Silvestri, M.; Roquebert, P.; Sainsous, J. Radial Force of Coronary Stents: a Comparative Analysis. Catheter. Cardiovasc. Interv. 1999, 46 (3), 380–391. https://doi.org/10.1002/(SICI)1522-726X(199903)46:3<380::AID-CCD27>3.0.CO;2-J.10.1002/(SICI)1522-726X(199903)46:3<380::AID-CCD27>3.0.CO;2-JSearch in Google Scholar
38. Isayama, H.; Nakai, Y.; Toyokawa, Y.; Togawa, O.; Gon, C.; Ito, Y.; Yashima, Y.; Yagioka, H.; Kogure, H.; Sasaki, T.; Arizumi, T.; Matsubara, S.; Yamamoto, N.; Sasahira, N.; Hirano, K.; Tsujino, T.; Toda, N.; Tada, M.; Kawabe, T.; Omata, M. Measurement of Radial and Axial Forces of Biliary Self-Expandable Metallic Stents. Gastrointest. Endosc 2009, 70 (1), 37–44. https://doi.org/10.1016/j.gie.2008.09.032.Search in Google Scholar
39. Zhao, F.; Xue, W.; Wang, F.; Sun, J.; Lin, J.; Liu, L.; Sun, K.; Wang, L. Braided Bioresorbable Cardiovascular Stents Mechanically Reinforced by Axial Runners. J. Mech. Behav. Biomed. Mater. 2019, 89, 19–32. https://doi.org/10.1016/j.jmbbm.2018.09.003.Search in Google Scholar
40. Kumar, A.; Bhatnagar, N. Finite Element Simulation and Testing of Cobalt-Chromium Stent: a Parametric Study on Radial Strength, Recoil, Foreshortening, and Dogboning. Comput. Methods Biomech. Biomed. Engin. 2021, 24 (3), 245–259. https://doi.org/10.1080/10255842.2020.1822823.Search in Google Scholar
41. Rahinj, G. B.; Chauhan, H. S.; Sirivella, M. L.; Satyanarayana, M. V.; Ramanan, L. Numerical Analysis for Non-Uniformity of Balloon-Expandable Stent Deployment Driven by Dogboning and Foreshortening. Cardiovasc. Eng. Technol. 2022, 13 (2), 247–264. https://doi.org/10.1007/s13239-021-00573-4.Search in Google Scholar PubMed
42. Frank, F. J. H. G.; Francesco, F. M.; Silvia, S. S.; Laura, L. S.; Lorenza, L. P.; Attila, A. T.; Jolanda, J. J. W.; van der Steen Ton, A. F. W.; Patrick, P. W. J. C. S.; Gabriele, G. D.; Rotterdam, E. M. U. M. C. Cardiology. Simulation of Stent Deployment in a Realistic Human Coronary Artery. Biomed. Eng. Online 2008, 7 (1).10.1186/1475-925X-7-23Search in Google Scholar PubMed PubMed Central
43. Timmins, L. H.; Meyer, C. A.; Moreno, M. R.; Moore, J. E. Mechanical Modeling of Stents Deployed in Tapered Arteries. Ann. Biomed. Eng. 2008, 36 (12), 2042–2050. https://doi.org/10.1007/s10439-008-9582-0.Search in Google Scholar PubMed PubMed Central
44. Rogers, C.; Edelman, E. R. Endovascular Stent Design Dictates Experimental Restenosis and Thrombosis. Circulation 1995, 91 (12), 2995–3001. https://doi.org/10.1161/01.CIR.91.12.2995.Search in Google Scholar PubMed
45. De Beule, M.; Van Impe, R.; Verhegghe, B.; Segers, P.; Verdonck, P. Finite Element Analysis and Stent Design: Reduction of Dogboning. Technol. Heal. Care 2006, 14 (4–5), 233–241. https://doi.org/10.3233/thc-2006-144-506.Search in Google Scholar
46. Thériault, P.; Terriault, P.; Brailovski, V.; Gallo, R. Finite Element Modeling of a Progressively Expanding Shape Memory Stent. J. Biomech. 2006, 39 (15), 2837–2844. https://doi.org/10.1016/j.jbiomech.2005.09.018.Search in Google Scholar PubMed
47. Wu, W.; Yang, D. Z.; Qi, M.; Wang, W. Q. An FEA Method to Study Flexibility of Expanded Coronary Stents. J. Mater. Process. Technol. 2007, 184 (1–3), 447–450. https://doi.org/10.1016/j.jmatprotec.2006.12.010.Search in Google Scholar
48. Andrianov, I. V.; Awrejcewicz, J.; Diskovsky, A. A. Structural Design of Patient-Specific Vascular Ring Stents. Arch. Appl. Mech. 2023, 93 (4), 1473–1490. https://doi.org/10.1007/s00419-022-02340-w.Search in Google Scholar
49. Ragkousis, G. E.; Curzen, N.; Bressloff, N. W. Simulation of Longitudinal Stent Deformation in a Patient-Specific Coronary Artery. Med. Eng. Phys. 2014, 36 (4), 467–476. https://doi.org/10.1016/j.medengphy.2014.02.004.Search in Google Scholar PubMed
50. Auricchio, F.; Di Loreto, M.; Sacco, E. Finite-Element Analysis of a Stenotic Artery Revascularization through a Stent Insertion. Comput. Methods Biomech. Biomed. Engin. 2001, 4 (3), 249–263. https://doi.org/10.1080/10255840108908007.Search in Google Scholar
51. Imani, M.; Goudarzi, A. M.; Ganji, D. D.; Aghili, A. L. The Comprehensive Finite Element Model for Stenting: the Influence of Stent Design on the Outcome After Coronary Stent Placement. J. Theor. Appl. Mech. 2013, 51 (3), 639–648.Search in Google Scholar
52. Eshghi, N.; Hojjati, M. H.; Imani, M.; Goudarzi, A. M. Finite Element Analysis of Mechanical Behaviors of Coronary Stent. Procedia Eng 2011, 10, 3056–3061. https://doi.org/10.1016/j.proeng.2011.04.506.Search in Google Scholar
53. Anoop, M. S.; Senthil, P.; Sooraj, V. S. An Investigation on Viscoelastic Characteristics of 3D-Printed FDM Components Using RVE Numerical Analysis. J. Brazilian Soc. Mech. Sci. Eng. 2021, 43 (1). https://doi.org/10.1007/s40430-020-02724-5.Search in Google Scholar
54. Pan, Z.; Liu, Z. A Novel Fractional Viscoelastic Constitutive Model for Shape Memory Polymers. J. Polym. Sci. Part B Polym. Phys. 2018, 56 (16), 1125–1134. https://doi.org/10.1002/polb.24631.Search in Google Scholar
55. Diani, J.; Gilormini, P.; Frédy, C.; Rousseau, I. Predicting Thermal Shape Memory of Crosslinked Polymer Networks from Linear Viscoelasticity. Int. J. Solids Struct. 2012, 49 (5), 793–799. https://doi.org/10.1016/j.ijsolstr.2011.11.019.Search in Google Scholar
56. Datz, J. C.; Steinbrecher, I.; Meier, C.; Hagmeyer, N.; Engel, L. C.; Popp, A.; Pfaller, M. R.; Schunkert, H.; Wall, W. A. Patient-Specific Coronary Angioplasty Simulations – a Mixed-Dimensional Finite Element Modeling Approach. Comput. Biol. Med. 2025, 189. https://doi.org/10.1016/j.compbiomed.2025.109914.Search in Google Scholar PubMed
57. Baer, G. M.; Small IV, W.; Wilson, T. S.; Benett, W. J.; Matthews, D. L.; Hartman, J.; Maitland, D. J. Fabrication and in Vitro Deployment of a Laser-Activated Shape Memory Polymer Vascular Stent. Biomed. Eng. Online 2007, 6. https://doi.org/10.1186/1475-925X-6-43.Search in Google Scholar PubMed PubMed Central
58. Kim, J.; Lee, J. H.; Choi, E. A.; Lee, H. J.; Oh, J.; Byeon, D. H.; Park, C. H. A Comparative in Vitro Study of Distinct and Novel Stent Geometries on Mechanical Performances of Poly-L-Lactic Acid Cardiovascular Stents. Artif. Organs 2025, 49 (2), 239–255. https://doi.org/10.1111/aor.14893.Search in Google Scholar PubMed
59. Lucchetti, A.; Juhl, L. G.; Corti, A.; Zaccaria, A.; Gries, T.; Chiastra, C.; Vaughan, T. J.; Carbonaro, D. From Bench Testing to Virtual Implantation: a Comparative Study Between Poly-l-Lactic Acid and Nickel-Titanium Braided Stents. Int. j. numer. method. biomed. eng. 2025, 41 (8). https://doi.org/10.1002/cnm.70078.Search in Google Scholar PubMed PubMed Central
60. Sousa, A. M.; Amaro, A. M.; Piedade, A. P. Structural Design Optimization Through Finite Element Analysis of Additive Manufactured Bioresorbable Polymeric Stents. Mater. Today Chem. 2024, 36. https://doi.org/10.1016/j.mtchem.2024.101972.Search in Google Scholar
61. Liang, Z.; Li, J.; Chen, K.; Yu, C.; Kan, Q. Multiple Relaxation Mechanism-based Thermo-Mechanical Constitutive Model Describing Cyclic Shape Memory Effect of Shape Memory Polyurethane. Acta Mech. Sin. Xuebao 2024, 40 (1). https://doi.org/10.1007/s10409-023-23347-x.Search in Google Scholar
62. Chen, J.; Du, C.; Wang, Q.; Peng, X. A 3D Finite Strain Constitutive Model for Shape Memory Polymers Combined Viscoelasticity and Storage Strain. Mech. Mater. 2024, 197. https://doi.org/10.1016/j.mechmat.2024.105103.Search in Google Scholar
63. Zeng, C.; Liu, L.; Hu, Y.; Bian, W.; Leng, J.; Liu, Y. A Viscoelastic Constitutive Model for Shape Memory Polymer Composites: Micromechanical Modeling, Numerical Implementation and Application in 4D Printing. Mech. Mater. 2022, 169. https://doi.org/10.1016/j.mechmat.2022.104301.Search in Google Scholar
64. Nishio, S.; Kosuga, K.; Igaki, K.; Okada, M.; Kyo, E.; Tsuji, T.; Takeuchi, E.; Inuzuka, Y.; Takeda, S.; Hata, T.; Takeuchi, Y.; Kawada, Y.; Harita, T.; Seki, J.; Akamatsu, S.; Hasegawa, S.; Bruining, N.; Brugaletta, S.; De Winter, S.; Muramatsu, T.; Onuma, Y.; Serruys, P. W.; Ikeguchi, S. Long-Term (>10 Years) Clinical Outcomes of First-in-Human Biodegradable Poly-l-Lactic Acid Coronary Stents: Igaki-Tamai Stents. Circulation 2012, 125 (19), 2343–2352. https://doi.org/10.1161/CIRCULATIONAHA.110.000901.Search in Google Scholar PubMed
65. Xu, J.; Song, J. Polylactic Acid (PLA)-based Shape-Memory Materials for Biomedical Applications. Shape Mem. Polym. Biomed. Appl. 2015, 197–217. https://doi.org/10.1016/B978-0-85709-698-2.00010-6.Search in Google Scholar
66. Erukhimovich, I.; de la Cruz, M. O. Phase Equilibria and Charge Fractionation in Polydisperse Polyelectrolyte Solutions. J. Polym. Sci. Part B Polym. Phys. 2004, 45, 1390–1398. https://doi.org/10.1002/polb.Search in Google Scholar
67. Patrício, T.; Bártolo, P. Thermal Stability of PCL/PLA Blends Produced by Physical Blending Process. Procedia Eng 2013, 59, 292–297. https://doi.org/10.1016/j.proeng.2013.05.124.Search in Google Scholar
68. Hu, X.; He, J.; Yong, X.; Lu, J.; Xiao, J.; Liao, Y.; Li, Q.; Xiong, C. Biodegradable Poly (Lactic acid-co-trimethylene Carbonate)/Chitosan Microsphere Scaffold with Shape-Memory Effect for Bone Tissue Engineering. Colloids Surfaces B Biointerfaces 2020, 195. https://doi.org/10.1016/j.colsurfb.2020.111218.Search in Google Scholar PubMed
69. Venkatraman, S. S.; Tan, L. P.; Joso, J. F. D.; Boey, Y. C. F.; Wang, X. Biodegradable Stents with Elastic Memory. Biomaterials 2006, 27 (8), 1573–1578. https://doi.org/10.1016/j.biomaterials.2005.09.002.Search in Google Scholar PubMed
70. Sonawane, V. C.; More, M. P.; Pandey, A. P.; Patil, P. O.; Deshmukh, P. K. Fabrication and Characterization of Shape Memory Polymers Based Bioabsorbable Biomedical Drug Eluting Stent. Artif. Cells, Nanomedicine Biotechnol. 2017, 45 (8), 1740–1750. https://doi.org/10.1080/21691401.2017.1282867.Search in Google Scholar PubMed
71. Bobel, A. C.; McHugh, P. E. Computational Analysis of the Utilisation of the Shape Memory Effect and Balloon Expansion in Fully Polymeric Stent Deployment. Cardiovasc. Eng. Technol. 2018, 9 (1), 60–72. https://doi.org/10.1007/s13239-017-0333-y.Search in Google Scholar PubMed
72. Bhave, A.; Sittkus, B.; Urban, G.; Mescheder, U.; Möller, K. Finite Element Analysis of the Interaction Between High-Compliant Balloon Catheters and Non-Cylindrical Vessel Structures: towards Tactile Sensing Balloon Catheters. Biomech. Model. Mechanobiol. 2023, 22 (6), 2033–2061. https://doi.org/10.1007/s10237-023-01749-8.Search in Google Scholar PubMed PubMed Central
73. Qi, L.; Zhu, W.; Qian, W.; Xu, L.; He, Y.; Zhao, F. The Performance of a Spherical-Tip Catheter for Stent Post-Dilation: Finite Element Analysis and Experiments. Front. Physiol. 2021, 12. https://doi.org/10.3389/fphys.2021.734565.Search in Google Scholar PubMed PubMed Central
74. Chen, C.; Xiong, Y.; Li, Z.; Chen, Y. Flexibility of Biodegradable Polymer Stents with Different Strut Geometries. Materials (Basel) 2020, 13 (15). https://doi.org/10.3390/ma13153332.Search in Google Scholar PubMed PubMed Central
75. Noad, R. L.; Hanratty, C. G.; Walsh, S. J. Clinical Impact of Stent Design. Interv. Cardiol. Rev. Res. Resour. 2014, 9 (2), 89–93. https://doi.org/10.15420/articles/clinical-impact-stent-design.Search in Google Scholar
76. Blair, R. W.; Dunne, N. J.; Lennon, A. B.; Menary, G. H. Multi-Objective Optimisation of Material Properties and Strut Geometry for Poly(L-Lactic Acid) Coronary Stents Using Response Surface Methodology. PLoS One 2019, 14 (8), 1–49. https://doi.org/10.1371/journal.pone.0218768.Search in Google Scholar PubMed PubMed Central
77. Huang, J.; Mazzara, J. M.; Schwendeman, S. P.; Thouless, M. D. Self-Healing of Pores in PLGAs. J. Control. Release 2015, 206, 20–29. https://doi.org/10.1016/j.jconrel.2015.02.025.Search in Google Scholar PubMed
78. Li, Y.; Wang, J.; Sheng, K.; Miao, F.; Wang, Y.; Zhang, Y.; Hou, R.; Mei, D.; Sun, Y.; Zheng, Y.; Guan, S. Optimizing Structural Design on Biodegradable Magnesium Alloy Vascular Stent for Reducing Strut Thickness and Raising Radial Strength. Mater. Des. 2022, 220. https://doi.org/10.1016/j.matdes.2022.110843.Search in Google Scholar
79. LaDisa, J. F.; Olson, L. E.; Guler, I.; Hettrick, D. A.; Audi, S. H.; Kersten, J. R.; Warltier, D. C.; Pagel, P. S. Stent Design Properties and Deployment Ratio Influence Indexes of Wall Shear Stress: a Three-Dimensional Computational Fluid Dynamics Investigation Within a Normal Artery. J. Appl. Physiol. 2004, 97 (1), 424–430. https://doi.org/10.1152/japplphysiol.01329.2003.Search in Google Scholar PubMed
80. Liu, R.; Xu, S.; Luo, X.; Liu, Z. Theoretical and Numerical Analysis of Mechanical Behaviors of a Metamaterial-Based Shape Memory Polymer Stent. Polymers (Basel) 2020, 12 (8). https://doi.org/10.3390/polym12081784.Search in Google Scholar PubMed PubMed Central
81. Lendlein, A.; Kelch, S. Shape-Memory Polymers. Angew. Chemie - Int. Ed. 2002, 41 (12), 2034–2057. https://doi.org/10.1002/1521-3773(20020617)41:12<2034::aid-anie2034>3.0.co;2-m.10.1002/1521-3773(20020617)41:12<2034::AID-ANIE2034>3.0.CO;2-MSearch in Google Scholar
82. Donik, Ž.; Nečemer, B.; Vesenjak, M.; Glodež, S.; Kramberger, J. Computational Analysis of Mechanical Performance for Composite Polymer Biodegradable Stents. Materials (Basel) 2021, 14 (20). https://doi.org/10.3390/ma14206016.Search in Google Scholar PubMed PubMed Central
83. Donik, Z.; Nečemer, B.; Glodež, S.; Kramberger, J. Finite Element Analysis of the Mechanical Performance of a Two-Layer Polymer Composite Stent Structure. Eng. Fail. Anal. 2022, 137. https://doi.org/10.1016/j.engfailanal.2022.106267.Search in Google Scholar
84. Neumann, F.; Cerbe, F.; Sinapius, M. From Material to Solution: Implementing Shape Memory Behavior of Thermoplastic Polymers in Commercial FEA Software for Structural Analysis. J. Manuf. Mater. Process. 2025, 9 (3). https://doi.org/10.3390/jmmp9030073.Search in Google Scholar
85. Li, Y.; Lau, D. Advances in Shape Memory Polymers and Their Composites: from Theoretical Modeling and MD Simulations to Additive Manufacturing. Giant 2024, 18. https://doi.org/10.1016/j.giant.2024.100277.Search in Google Scholar
86. Duda, S. H.; Wiskirchen, J.; Tepe, G.; Bitzer, M.; Kaulich, T. W.; Stoeckel, D.; Claussen, C. D. Physical Properties of Endovascular Stents: an Experimental Comparison. J. Vasc. Interv. Radiol. 2000, 11 (5), 645–654. https://doi.org/10.1016/S1051-0443(07)61620-0.Search in Google Scholar PubMed
87. Piccolo, R.; Pilgrim, T. The Impact of Thin-Strut, Biodegradable Polymer Stent Designs. Card. Interv. today 2017, 11 (1), 43–46.Search in Google Scholar
88. Iantorno, M.; Lipinski, M. J.; Garcia-Garcia, H. M.; Forrestal, B. J.; Rogers, T.; Gajanana, D.; Buchanan, K. D.; Torguson, R.; Weintraub, W. S.; Waksman, R. Meta-Analysis of the Impact of Strut Thickness on Outcomes in Patients with Drug-Eluting Stents in a Coronary Artery. Am. J. Cardiol. 2018, 122 (10), 1652–1660. https://doi.org/10.1016/j.amjcard.2018.07.040.Search in Google Scholar PubMed
89. Baradaran, Y.; Baghani, M.; Kazempour, M.; Hosseini, S. K.; Karimpour, M.; Baniassadi, M. Design and Shape Optimization of a Biodegradable Polymeric Stent for Curved Arteries Using FEM. Front. Mech. Eng. 2021, 7. https://doi.org/10.3389/fmech.2021.689002.Search in Google Scholar
Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/polyeng-2025-0134).
© 2025 Walter de Gruyter GmbH, Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Preparation and Assembly
- Recent progress in flexible sensor research in recent five years
- Manufacturing and characterization of natural zeolite-filled TPU composites: influence of loading ratio and calcination of zeolite
- Fabrication and characterization of high-performance heat-resistant acrylonitrile–butadiene–styrene (ABS) composites reinforced with carbon fibers
- Preparation and performance evaluation of dextrin-modified slow-release hydration heat inhibitor
- Post-treatment of polysulfone/zeolite-templated carbon mixed matrix membranes by heating and surface coating for enhanced gas separation performance
- Engineering and Processing
- Computational design and analysis of biocompatible shape memory polymer-based self-expandable stent
- Utilizing electrospun cellulose adsorption nanofilters derived from mangrove roots and polyacrylonitrile for desalination