Workflow for Robotic Point-of-Care Manufacturing of Personalized Maxillofacial Graft Fixation Hardware
Source abstract
Abstract
As of this writing, Point-of-Care Manufacturing (POCM) occurs at a handful of advanced tertiary and quaternary care medical centers. These services are mainly limited to 3D printed anatomic models whose shapes derive primarily from CT or MR imaging. In far fewer cases, Virtual Surgical Planning (VSP) and 3D printed surgical guides are manufactured and surgical models are used to pre-bend fixation hardware, produce osteotomy guides, or in the fewest cases, fabricate personalized implants. Ensuring safe and effective POCM is highly relevant to rapidly emerging and time-sensitive personalized interventions for cardiac, trauma, cancer resection/radiosurgery, and neurological surgery. These rapidly emerging cases may not have time for current centralized production services to respond or the return on investment is insufficient motivation. However, patient awareness of the rise of POCM has put a premium on determining design and fabrication workflows that would be needed to provide these patients with personalized procedure planning, surgical guides, and implantable devices. This opportunity could also leverage Metamorphic Manufacturing (MM), Hybrid Autonomous Manufacturing (HAM), and the benefits of Integrated Computational Materials Engineering (ICME). The overarching goal of MM is to design a personalized device’s shape simultaneously with its function and a fabrication strategy that uses manufacturing modalities and device materials that can ensure the output of a device with optimal shape and mechanical performance. As an initiative in this discipline, we report here on preliminary design and early-stage, partial testing of a workflow that embraces the benefits of MM, HAM, and ICME for the design and fabrication of personalized mandibular graft fixation hardware.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Bone Tissue Engineering Materials · Anatomy and Medical Technology · Additive Manufacturing and 3D Printing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (62)
Show source-provided references
1. RAPID + TCT 2023 https://www.rapid3devent.com/. Accessed 2 Feb 2023
2. CIRP BioM 2022 https://www.aitem.org/CirpBioM2022. Accessed 2 Feb 2023
3. ASME AM Medical 2022 https://events.additivemanufacturing.com/medical. Accessed 2 Feb 2023
4. Food And Drug Administration (2022) Virtual public workshop - 3D printing in hospitals: veteran’s health administration’s experiences in point of care 3D printing of device and implementing a quality management system
5. Meyer-Szary J, Luis MS, Mikulski S et al (2022) The role of 3D printing in planning complex medical procedures and training of medical professionals—cross-sectional multispecialty review. Int J Environ Res Public Health 19:3331. https://doi.org/10.3390/ijerph1906333110.3390/ijerph19063331 ↗
6. HSS (2021) HSS and LimaCorporate open first provider-based 3D design and printing center for complex joint reconstruction surgery. https://news.hss.edu/hss-and-limacorporate-partner-to-open-first-provider-based-design-and-3d-printing-center-for-complex-joint-reconstruction-surgery/. Accessed 1 Sep 2022
7. Shayesteh Moghaddam N, Jahadakbar A, Amerinatanzi A, et al (2018) Mechanical evaluation of the SLM fabricated, stiffness-matched, mandibular bone fixation plates. In: Naguib HE (ed) Behavior and Mechanics of Multifunctional Materials and Composites XII. SPIE, p 3110.1117/12.2300740 ↗
8. Jahadakbar A, Shayesteh Moghaddam N, Amerinatanzi A et al (2016) Finite element simulation and additive manufacturing of stiffness-matched NiTi fixation hardware for mandibular reconstruction surgery. Bioengineering 3:36. https://doi.org/10.3390/bioengineering304003610.3390/bioengineering3040036 ↗
9. Doghri I, Lemoine G, Martiny P et al (2021) Multiscaling-based integrated computational materials engineering: from academia to industry. Int J Multiscale Comput Eng 19:1–4010.1615/IntJMultCompEng.2021040073 ↗
10. Goh C-H, Dachowicz AP, Allen JK, Mistree F (2018) A computational method for the design of materials accounting for the process-structure-property- performance (PSPP) relationship. Integrated Computational Materials Engineering (ICME) for Metals. Wiley, Hoboken, pp 539–57210.1002/9781119018377.ch16 ↗
11. Daehn G, Spanos G (2019) Metamorphic Manufacturing: Shaping the Future of On-Demand Components. Pittsburgh, PA http://www.tms.org/MetamorphicManufacturing. Accessed 2 Feb 2023
12. Wuest T, Weimer D, Irgens C, Thoben K-D (2016) Machine learning in manufacturing: advantages, challenges, and applications. Prod Manuf Res 4:23–45. https://doi.org/10.1080/21693277.2016.119251710.1080/21693277.2016.1192517 ↗
13. National Research Council (2008) Integrated computational materials engineering. National Academies Press, Washington
14. Abvabi A, Rolfe B, Hodgson PD, Weiss M (2015) The influence of residual stress on a roll forming process. Int J Mech Sci 101–102:124–136. https://doi.org/10.1016/j.ijmecsci.2015.08.00410.1016/j.ijmecsci.2015.08.004 ↗
15. Srai JS, Kumar M, Graham G et al (2016) Distributed manufacturing: scope, challenges and opportunities. Int J Prod Res 54:6917–6935. https://doi.org/10.1080/00207543.2016.119230210.1080/00207543.2016.1192302 ↗
16. Cai-xia Z, Yan X, Xi-Jing B et al (2015) Analysis and countermeasure of the complications after titanium-plate used oral and maxillofacial surgeries. J Oral Sci Res 31:814–816
17. Duda T, Raghavan LV (2016) 3D metal printing technology. IFAC-PapersOnLine 49:103–110. https://doi.org/10.1016/j.ifacol.2016.11.11110.1016/j.ifacol.2016.11.111 ↗
18. Attaran M (2017) The rise of 3-D printing: the advantages of additive manufacturing over traditional manufacturing. Bus Horiz 60:677–688. https://doi.org/10.1016/j.bushor.2017.05.01110.1016/j.bushor.2017.05.011 ↗
19. Karakurt I, Lin L (2020) 3D printing technologies: techniques, materials, and post-processing. Curr Opin Chem Eng 28:134–143. https://doi.org/10.1016/j.coche.2020.04.00110.1016/j.coche.2020.04.001 ↗
20. Gu D, Yang J, Wang H et al (2021) Laser powder bed fusion of bio-inspired reticulated shell structure: optimization mechanisms of structure, process, and compressive property. CIRP J Manuf Sci Technol 35:1–12. https://doi.org/10.1016/j.cirpj.2021.04.00510.1016/j.cirpj.2021.04.005 ↗
21. Ochalek M, Jenett B, Formoso O, et al (2019) Geometry systems for lattice-based reconfigurable space structures. In: 2019 IEEE Aerospace Conference. IEEE, pp 1–1010.1109/AERO.2019.8742178 ↗
22. Motaman SAH, Kies F, Köhnen P et al (2020) Optimal design for metal additive manufacturing: an integrated computational materials engineering (ICME) approach. JOM 72:1092–1104. https://doi.org/10.1007/s11837-020-04028-410.1007/s11837-020-04028-4 ↗
23. Ridzwan MIZ, Shuib S, Hassan AY et al (2007) Problem of stress shielding and improvement to the hip implant designs: a review. J Med Sci 7:460–467. https://doi.org/10.3923/jms.2007.460.46710.3923/jms.2007.460.467 ↗
24. Huiskes R (1993) Stress shielding and bone resorption in THA: clinical versus computer-simulation studies. Acta Orthop Belg 59(Suppl 1):118–129
25. Palka L, Mazurek-Popczyk J, Arkusz K, Baldy-Chudzik K (2020) Susceptibility to biofilm formation on 3D-printed titanium fixation plates used in the mandible: a preliminary study. J Oral Microbiol 12:1838164. https://doi.org/10.1080/20002297.2020.183816410.1080/20002297.2020.1838164 ↗
26. Chua K, Khan I, Malhotra R, Zhu D (2021) Additive manufacturing and 3D printing of metallic biomaterials. Eng Regener 2:288–299. https://doi.org/10.1016/j.engreg.2021.11.00210.1016/j.engreg.2021.11.002 ↗
27. Food and Drug Administration (2021) Discussion paper: 3D printing medical devices at the point of care. https://www.fda.gov/medical-devices/3d-printing-medical-devices/3d-printing-medical-devices-point-care-discussion-paper. Accessed 2 Feb 2023
28. Goodson AMC, Parmar S, Ganesh S et al (2021) Printed titanium implants in UK craniomaxillofacial surgery. Part II: perceived performance (outcomes, logistics, and costs). Br J Oral Maxillofac Surg 59:320–328. https://doi.org/10.1016/j.bjoms.2020.08.08810.1016/j.bjoms.2020.08.088 ↗
29. Darwich K, Ismail MB, Al-Mozaiek MYA-S, Alhelwani A (2021) Reconstruction of mandible using a computer-designed 3D-printed patient-specific titanium implant: a case report. Oral Maxillofac Surg 25:103–111. https://doi.org/10.1007/s10006-020-00889-w10.1007/s10006-020-00889-w ↗
30. Arce K, Morris JM, Alexander AE, Ettinger KS (2020) Developing a point-of-care manufacturing program for craniomaxillofacial surgery. Atlas Oral Maxillofac Surg Clin North Am 28:165–17910.1016/j.cxom.2020.06.002 ↗
31. Zhang J, Shi B, Feng G et al (2022) Design, development and control of a forming robot for an internally fixed titanium alloy strip. Machines 10:68. https://doi.org/10.3390/machines1002006810.3390/machines10020068 ↗
32. Nourmohammadi AA, Elyasi M, Mirnia MJ (2019) Flexibility improvement in two-point incremental forming by implementing multi-point die. Int J Adv Manuf Technol 102:2933–2952. https://doi.org/10.1007/s00170-019-03307-y10.1007/s00170-019-03307-y ↗
33. Li Y, Han X, Liang J et al (2021) Effect of multi-point roller dies on the forming accuracy of profile in flexible 3D stretch bending technology. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-020-06336-0/Published10.1007/s00170-020-06336-0/Published ↗
34. Maaß F, Hahn M, Tekkaya AE (2020) Interaction of process parameters, forming mechanisms, and residual stresses in single point incremental forming. Metals. https://doi.org/10.3390/met1005065610.3390/met10050656 ↗
35. van der Rijt EEM, Noorlag R, Koole R et al (2015) Predictive factors for premature loss of Martin 2.7 mandibular reconstruction plates. Br J Oral Maxillofac Surg 53:121–125. https://doi.org/10.1016/j.bjoms.2014.10.01010.1016/j.bjoms.2014.10.010 ↗
36. Lindqvist C, Söderholm A-L, Laine P, Paatsama J (1992) Rigid reconstruction plates for immediate reconstruction following mandibular resection for malignant tumors. J Oral Maxillofac Surg 50:1158–1163. https://doi.org/10.1016/0278-2391(92)90146-Q10.1016/0278-2391(92)90146-Q ↗
37. Maurer P, Eckert AW, Kriwalsky MS, Schubert J (2010) Scope and limitations of methods of mandibular reconstruction: a long-term follow-up. Br J Oral Maxillofac Surg 48:100–104. https://doi.org/10.1016/j.bjoms.2009.07.00510.1016/j.bjoms.2009.07.005 ↗
38. Martola M, Lindqvist C, Hänninen H, Al-Sukhun J (2007) Fracture of titanium plates used for mandibular reconstruction following ablative tumor surgery. J Biomed Mater Res B Appl Biomater 80B:345–352. https://doi.org/10.1002/jbm.b.3060310.1002/jbm.b.30603 ↗
39. Kimura A, Nagasao T, Kaneko T et al (2006) Adaquate fixation of plates for stability during mandibular reconstruction. J Cranio-Maxillofac Surg 34:193–200. https://doi.org/10.1016/j.jcms.2006.01.00310.1016/j.jcms.2006.01.003 ↗
40. Farber SJ, Snyder-Warwick AK, Skolnick GB et al (2016) Maxillomandibular fixation by plastic surgeons. Ann Plast Surg 77:305–307. https://doi.org/10.1097/SAP.000000000000059210.1097/SAP.0000000000000592 ↗
41. Nixon AJ, Auer JA, Watkins JP (2019) Principles of fracture fixation. In: Equine fracture repair. Wiley, pp 127–155 https://doi.org/10.1002/9781119108757.ch910.1002/9781119108757.ch9 ↗
42. Choi TJ, Chung YH, Cho JY, Burm JS (2019) The use of microplates for internal fixation of comminuted mandibular fractures. Ann Plast Surg 82:55–61. https://doi.org/10.1097/SAP.000000000000162310.1097/SAP.0000000000001623 ↗
43. The Ohio State University College of Engineering (2023) Hybrid autonomous manufacturing, moving from evolution to revolution (HAMMER). In: https://hammer.osu.edu/. Accessed 2 Feb 2023
44. AMADA Co. Ltd. HG 1303 Rm: Robotic Bending System for Large Parts. https://www.amada.co.jp/en/products/amd/bending_machine/bending_machine_robot/. Accessed 4 Feb 2023
45. Liu S-P, Cai Z-G, Zhang J et al (2016) Stability and complications of miniplates for mandibular reconstruction with a fibular graft: outcomes for 544 patients. Br J Oral Maxillofac Surg 54:496–500. https://doi.org/10.1016/j.bjoms.2015.08.25910.1016/j.bjoms.2015.08.259 ↗
46. Ahmad M, Nanda R, Bajwa AS et al (2007) Biomechanical testing of the locking compression plate: when does the distance between bone and implant significantly reduce construct stability? Injury 38:358–364. https://doi.org/10.1016/j.injury.2006.08.05810.1016/j.injury.2006.08.058 ↗
47. ASTM F382–17 Standard specification and test method for metallic bone plates. https://www.astm.org/f0382-17.html. Accessed 2 Feb 2023
48. Moghaddam NS, Skoracki R, Miller M, et al (2016) Three dimensional printing of stiffness-tuned, nitinol skeletal fixation hardware with an example of mandibular segmental defect repair. In: Procedia CIRP. Elsevier B.V., pp 45–5010.1016/j.procir.2015.07.027 ↗
49. International Organization for Standardization (2016) ISO 13485:2016 medical devices — quality management systems — requirements for regulatory purposes. 1–36. https://www.iso.org/standard/59752.html. Accessed 2 Feb 2023
50. Digital Imaging and Communications in Medicine https://www.dicomstandard.org/activity/wgs/wg-17. Accessed 2 Feb 2023
51. Preda F, Morgan N, van Gerven A et al (2022) Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography: a validation study. J Dent 124:104238. https://doi.org/10.1016/j.jdent.2022.10423810.1016/j.jdent.2022.104238 ↗
52. van Eijden TMGJ, Korfage JAM, Brugman P (1997) Architecture of the human jaw-closing and jaw-opening muscles. Anat Rec 248:464–474. https://doi.org/10.1002/(SICI)1097-0185(199707)248:3%3c464::AID-AR20%3e3.3.CO;2-410.1002/(SICI)1097-0185(199707)248:3<464::AID-AR20>3.3.CO;2-4 ↗
53. Gray H (1995) Gray’s Anatomy. Barnes & Noble, New York
54. Lovald ST, Wagner JD, Baack B (2009) Biomechanical optimization of bone plates used in rigid fixation of mandibular fractures. J Oral Maxillofac Surg 67:973–985. https://doi.org/10.1016/j.joms.2008.12.03210.1016/j.joms.2008.12.032 ↗
55. Mimata H, Matsuura Y, Yano S et al (2022) Evaluation of bone healing process after intramedullary nailing for femoral shaft fracture by quantitative computed tomography-based finite element analysis. Clin Biomech 100:105790. https://doi.org/10.1016/j.clinbiomech.2022.10579010.1016/j.clinbiomech.2022.105790 ↗
56. Yang DY, Bambach M, Cao J et al (2018) Flexibility in metal forming flexibility in metal forming. CIRP Ann 67:743–765. https://doi.org/10.1016/j.cirp.2018.05.00410.1016/j.cirp.2018.05.004 ↗
57. Hermes M, Chatti S, Weinrich A, Tekkaya A (2008) Three-dimensional bending of profiles with stress superposition. Int J Mater Form 1:133–136. https://doi.org/10.1007/s12289-008-0-010.1007/s12289-008-0-0 ↗
58. Chatti S, Hermes M, Tekkaya AE, Kleiner M (2010) The new TSS bending process: 3D bending of profiles with arbitrary cross-sections. CIRP Ann Manuf Technol 59:315–318. https://doi.org/10.1016/j.cirp.2010.03.01710.1016/j.cirp.2010.03.017 ↗
59. Jin YX, Li KY, Chen HM, Xiang HF (2012) Effect of rolling process on microstructure and texture of cold rolled Ti-6Al-4V seamless tubes. Adv Mat Res 557–559:191–197. https://doi.org/10.4028/www.scientific.net/AMR.557-559.19110.4028/www.scientific.net/AMR.557-559.191 ↗
60. Ibarz J, Tan J, Finn C et al (2021) How to train your robot with deep reinforcement learning: lessons we have learned. Int J Robot Res 40:698–721. https://doi.org/10.1177/027836492098785910.1177/0278364920987859 ↗
61. Huang G, Hu J, He Y et al (2021) Machine learning for electronic design automation: a survey. ACM Transact Des Autom Electron Syst 26:1–46. https://doi.org/10.1145/345117910.1145/3451179 ↗
62. Kanneganti ST, Pei J-S, Hougen DF (2021) Developing interpretable machine learning for forward kinematics of robotic arms. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp 01–0910.1109/SSCI50451.2021.9660074 ↗