Evidence map›Paper›PMID 37495645›Full record

ArticleScientific reports2023

Optimizing efficiency in the creation of patient-specific plates through field-driven generative design in maxillofacial surgery.

Alessandro Tel, Erik Kornfellner, Francesco Moscato, Shankeeth Vinayahalingam, Tong Xi, Lorenzo Arboit, Massimo Robiony

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alessandro TelMaxillofacial Surgery Unit, Department of Head-Neck Surgery and Neuroscience, University Hospital of Udine, Udine, Italy.
Erik KornfellnerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Francesco MoscatoCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Shankeeth VinayahalingamDepartment of Oral and Maxillofacial Surgery, Radboud University Medical Center, Nijmegen, The Netherlands.
Tong XiDepartment of Oral and Maxillofacial Surgery, Radboud University Medical Center, Nijmegen, The Netherlands.
Lorenzo ArboitSant'Anna School for Advanced Studies, University of Pisa, Pisa, Italy.
Massimo RobionyMaxillofacial Surgery Unit, Department of Head-Neck Surgery and Neuroscience, University Hospital of Udine, Udine, Italy. massimo.robiony@uniud.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Field driven design is a novel approach that allows to define through equations geometrical entities known as implicit bodies. This technology does not rely upon conventional geometry subunits, such as polygons or edges, rather it represents spatial shapes through mathematical functions within a geometrical field. The advantages in terms of computational speed and automation are conspicuous, and well acknowledged in engineering, especially for lattice structures. Moreover, field-driven design amplifies the possibilities for generative design, facilitating the creation of shapes generated by the software on the basis of user-defined constraints. Given such potential, this paper suggests the possibility to use the software nTopology, which is currently the only software for field-driven generative design, in the context of patient-specific implant creation for maxillofacial surgery. Clinical scenarios of applicability, including trauma and orthognathic surgery, are discussed, as well as the integration of this new technology with current workflows of virtual surgical planning. This paper represents the first application of field-driven design in maxillofacial surgery and, although its results are very preliminary as it is limited in considering only the distance field elaborated from specific points of reconstructed anatomy, it introduces the importance of this new technology for the future of personalized implant design in surgery.

Indexed as

Orthognathic SurgeryOrthognathic Surgical ProceduresSurgery, Computer-AssistedSurgery, OralHumansImaging, Three-DimensionalSoftware

Identifiers

PMID37495645
PMCPMC10371983

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.