Rapid manufacture of custom‐fitting surgical guides

Bibb, Richard; Eggbeer, Dominic; Evans, Peter; Bocca, A.; Sugar, Adrian

doi:10.1108/13552540910993879

Cited by 91 publications

(64 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Physical models developed from three-dimensional data obtained from imaging modalities such as CT and MRI have been successfully applied to plan surgical procedures, for education, and for training purposes [5]. Custom-fitted medical devices such as craniomaxillofacial prosthetics, surgical guides, and other implants have also been developed from 3-D image data [6,7].…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting Dimensional Accuracy of 3-D Printed Anatomical Structures Derived from CT Data

et al. 2015

View full text Add to dashboard Cite

Additive manufacturing and bio-printing, with the potential for direct fabrication of complex patient-specific anatomies derived from medical scan data, are having an ever-increasing impact on the practice of medicine. Anatomic structures are typically derived from CT or MRI scans, and there are multiple steps in the model derivation process that influence the geometric accuracy of the printed constructs. In this work, we compare the dimensional accuracy of 3-D printed constructs of an L1 vertebra derived from CT data for an ex vivo cadaver T-L spine with the original vertebra. Processing of segmented structures using binary median filters and various surface extraction algorithms is evaluated for the effect on model dimensions. We investigate the effects of changing CT reconstruction kernels by scanning simple geometric objects and measuring the impact on the derived model dimensions. We also investigate if there are significant differences between physical and virtual model measurements. The 3-D models were printed using a commercial 3-D printer, the Replicator 2 (MakerBot, Brooklyn, NY) using polylactic acid (PLA) filament. We found that changing parameters during the scan reconstruction, segmentation, filtering, and surface extraction steps will have an effect on the dimensions of the final model. These effects need to be quantified for specific situations that rely on the accuracy of 3-D printed models used in medicine or tissue engineering applications.

show abstract

Section: Introductionmentioning

confidence: 99%

Factors Affecting Dimensional Accuracy of 3-D Printed Anatomical Structures Derived from CT Data

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Another duplicate abutment is milled, which is functionally identical to primary abutment, thus reducing chair time. [18] Advantages of CAD/CAM system …”

Section: Cad/cam Technology In Implant Prosthodonticsmentioning

confidence: 99%

Cad/cam in prosthodontics: an era of digital dentistry

SivakumarSivakumar¹,

Nittla²

2017

Int j curr adv res

View full text Add to dashboard Cite

“…A wide range of software tools have been demonstrated to be functionally suitable; from mainstream engineering CAD software (Stojkovic et al, 2010), to voxel modelling software with a haptic interface (Bibb et al, 2009), two-dimensional graphical software programs (Azrulhizam et al, 2012) and specialist medical planning packages (Adolphs et al, 2013) which channel users towards proprietary device design services downstream. There is no consensus as to which approach is most effective in terms of economics and training requirements.…”

Section: Virtual Surgical Planning and Guidesmentioning

confidence: 99%

“…Guides interface with both the patient's anatomy and the surgeon's tools to control drilling location (Bibb et al, 2010), drilling angles (Vrielinck et al, 2003), saw cutting vectors (Bibb et al (2009);Foley et al (2013)), and the repositioning of bones (Herlin et al, 2011).…”

Section: Virtual Surgical Planning and Guidesmentioning

confidence: 99%

Additively manufactured maxillofacial implants and guides – achieving routine use

Peel

Eggbeer

2016

Rapid Prototyping Journal

Self Cite

View full text Add to dashboard Cite

Structured Abstract:Purpose: The technical efficacy of, and clinical benefits from using Computer Aided Design (CAD) and Additive Manufacturing (AM) in the production of patient-specific devices (implants and guides) has been established. Despite this, they are still not in routine clinical use. With AM equipment and CAD tool costs largely outside of the clinician's or designer's control, the opportunity exists to explore design process improvement routes to facilitate routine health service implementation. This paper identifies the key design process factors acting as drivers or barriers to this aim.Methodology / approach: A literature review, new data from three separate clinical case studies, and experience from an institute working on collaborative research and commercial application of CAD/AM in the maxillofacial specialty were analysed to extract a list and formulate models of design process factors.Findings: A semi-digital design and fabrication process is currently the lowest cost and shortest duration for cranioplasty implant production. The key design process factor to address is the fidelity of the device design specification. Implications / limitations:Further research into the relative value of, and best methods to address the key factor is required; in order to work towards the development of new design tools. A wider range of benchmarked case studies is required to better generalise findings beyond one implant type.Originality / value: Design process factors are identified (building on previous work largely restricted to technical and clinical efficacy). Additionally, three implant design and fabrication workflows are directly compared for costs and time. Unusually, a design process failure is detailed. A new model is proposed -describing design process factor relationships and the desired impact of future design tools.

show abstract

Rapid manufacture of custom‐fitting surgical guides

Cited by 91 publications

References 12 publications

Factors Affecting Dimensional Accuracy of 3-D Printed Anatomical Structures Derived from CT Data

Factors Affecting Dimensional Accuracy of 3-D Printed Anatomical Structures Derived from CT Data

Cad/cam in prosthodontics: an era of digital dentistry

Additively manufactured maxillofacial implants and guides – achieving routine use

Contact Info

Product

Resources

About