Page 16 - IJB-7-2

The Role of 3DP Phantoms and Devices for Organ-specified Appliances in Urology
Printing for Prototyping and Manufacturing. Carl Hanser Adversarial Networks. In: 2019 IEEE/CVF Conference on
Verlag GmbH & Company KG, Germany. Computer Vision and Pattern Recognition (CVPR), Long
https://doi.org/10.3139/9781569905838.bm Beach, CA, USA, pp. 10611–20.
23. Rybicki FJ, Grant GT, 2017, 3D Printing in Medicine: https://doi.org/10.1109/cvpr.2019.01087
A Practical Guide for Medical Professionals. Springer 34. Colaco M, Igel DA, Atala A, 2018, The Potential of 3D
International Publishing, Germany. Printing in Urological Research and Patient Care. Nat Rev
24. Culmone C, Smit G, Breedveld P, 2019, Additive Urol, 15:213–21.
Manufacturing of Medical Instruments: A State-of-the-Art https://doi.org/10.1038/nrurol.2018.6
Review. Addit Manuf, 27:461–73. 35. Wake N, Rosenkrantz AB, Huang R, et al., 2019, Patient-
https://doi.org/10.1016/j.addma.2019.03.015 Specific 3D Printed and Augmented Reality Kidney and
25. Nyberg EL, Farris AL, Hung BP, et al., 2017, 3D-Printing Prostate Cancer Models: Impact on Patient educaTion. 3D
Technologies for Craniofacial Rehabilitation, Reconstruction, Print Med, 5:4.
and Regeneration. Ann Biomed Eng, 45:45–57. https://doi.org/10.1186/s41205-019-0041-3
https://doi.org/10.1007/s10439-016-1668-5 36. Ilie PC, Farquhar L, Calleja R, et al., 2018, P06-The Value
26. Li W, Mille LS, Robledo JA, et al., 2020, Recent Advances of Per-sonalised 3D Printing Model of Kidney Stones for
in Formulating and Processing Biomaterial Inks for Vat Patients Requiring Surgical Treatment. Eur Urol Suppl,
Polymerization-Based 3D Printing. Adv Healthc Mater, 17:e2011–2.
9:2000156. https://doi.org/10.1016/s1569-9056(18)32436-9
https://doi.org/10.1002/adhm.202000156 37. Atalay HA, Ülker V, Alkan İ, et al., 2016, Impact of Three-
27. Ishii T, Ho CK, Nahas H, et al., 2019, Deformable Phantoms Dimensional Printed Pelvicaliceal System Models on
of the Prostatic Urinary Tract for Urodynamic Investigations. Residents’ Understanding of Pelvicaliceal System Anatomy
Med Phys, 46:3034–43. Before Percutaneous Nephrolithotripsy Surgery: A Pilot
https://doi.org/10.1002/mp.13558 Study. J Endourol, 30:1132–7.
28. Lowther M, Louth S, Davey A, et al., 2019, Clinical, https://doi.org/10.1089/end.2016.0307
Industrial, and Research Perspectives on Powder Bed Fusion 38. Lee H, Nguyen NH, Hwang SI, et al., 2018, Personalized
Additively Manufactured Metal Implants. Addit Manuf, 3D Kidney Model Produced by Rapid Prototyping Method
28:565–84. and its Usefulness in Clinical Applications. Int Braz J Urol,
https://doi.org/10.1016/j.addma.2019.05.033 44:952–7.
29. Putra NE, Mirzaali MJ, Apachitei I, et al., 2020, Multi- https://doi.org/10.1590/s1677-5538.ibju.2018.0162
Material Additive Manufacturing Technologies for Ti-, Mg-, 39. Tatar İ, Huri E, Selçuk İ, et al., 2019, Review of the Effect of
and Fe-Based Biomaterials for Bone Substitution. Acta 3D Medical Printing and Virtual Reality on Urology Training
Biomater, 109:1–20. with “MedTRain3DModsim” Erasmus+European Union
https://doi.org/10.1016/j.actbio.2020.03.037 Project. Turk J Med Sci, 49:1257–70.
30. Matsiushevich K, 2019, Quantitative Comparison of Freeware https://doi.org/10.3906/sag-1905-73
Software for Bone Mesh from DICOM Files. J Biomech, 5. 40. Cheung CL, Looi T, Lendvay TS, et al., 2014, Use of
84:247–51. 3-Dimensional Printing Technology and Silicone Modeling
https://doi.org/10.1016/j.jbiomech.2018.12.031 in Surgical Simulation: Development and Face Validation in
31. Laycock SD, Hulse M, Scrase CD, et al., 2015, Towards the Pediatric Laparoscopic Pyeloplasty. J Surg Educ, 71:762–7.
Production of Radiotherapy Treatment Shells on 3D Printers https://doi.org/10.1016/j.jsurg.2014.03.001
using Data Derived from DICOM CT and MRI: Preclinical 41. Ghazi A, Stone J, Park J, et al., 2016, V8-01 Full Procedural
Feasibility Studies. J Radiother Pract, 14:92–8. Simulation for Transurethral Resection of Bladder Tumors
https://doi.org/10.1017/s1460396914000326 (TURBT) Using 3-D Printing Technology. J Urol, 195:e771.
32. Ng WL, Chan A, Ong YS, et al., 2020, Deep Learning for https://doi.org/10.1016/j.juro.2016.02.744
Fabrication and Maturation of 3D Bio-Printed Tissues and 42. Ghazi A, Campbell T, Melnyk R, et al., 2017, Validation
Organs. Virtual Phys Prototyp, 15:340–58. of a Full-Immersion Simulation Platform for Percutaneous
33. Ying X, Guo H, Ma K, et al., 2019, X2CT-GAN: Nephrolithotomy Using Three-Dimensional Printing
Reconstructing CT From Bi-Planar X-Rays With Generative Technology. J Endourol, 31:1314–20.

12 International Journal of Bioprinting (2021)–Volume 7, Issue 2