Evidence map›Paper›PMID 38413561›Full record

ArticleNature communications2024

Automatic data-driven design and 3D printing of custom ocular prostheses.

Johann Reinhard, Philipp Urban, Stephen Bell, David Carpenter, Mandeep S Sagoo

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
14.3field-weighted citation impact, top 1% of its field
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

7 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. [Research progress of three-dimensional printed customized prosthesis and its application in acetabular reconstruction of hip revision surgery].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2024
    Review
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

5 authors at 4 institutions in 3 countries.

Johann ReinhardFraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany. johann.reinhard@igd.fraunhofer.de.ORCID 0000-0002-9151-3930
Philipp UrbanFraunhofer Institute for Computer Graphics Research IGD, Darmstadt, Germany.
Stephen BellOcupeye Ltd., Kenilworth, UK.
David CarpenterOcular Prosthetics Department, Moorfields Eye Hospital NHS Foundation Trust, London, UK.ORCID 0000-0001-7697-511X
Mandeep S SagooNIHR Biomedical Research Centre for Ophthalmology at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK.ORCID 0000-0003-1530-3824
Moorfields Eye Hospital NHS Foundation Trust · GBAGCO (United Kingdom) · GBFraunhofer Institute for Computer Graphics Research · DENorwegian University of Science and Technology · NO

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) E!113240 C2PAE
6 · The paper itself

Abstract

Millions of people require custom ocular prostheses due to eye loss or congenital defects. The current fully manual manufacturing processes used by highly skilled ocularists are time-consuming with varying quality. Additive manufacturing technology has the potential to simplify the manufacture of ocular prosthetics, but existing approaches just replace to various degrees craftsmanship by manual digital design and still require substantial expertise and time. Here we present an automatic digital end-to-end process for producing custom ocular prostheses that uses image data from an anterior segment optical coherence tomography device and considers both shape and appearance. Our approach uses a statistical shape model to predict, based on incomplete surface information of the eye socket, a best fitting prosthesis shape. We use a colour characterized image of the healthy fellow eye to determine and procedurally generate the prosthesis's appearance that matches the fellow eye. The prosthesis is manufactured using a multi-material full-colour 3D printer and postprocessed to satisfy regulatory compliance. We demonstrate the effectiveness of our approach by presenting results for 10 clinic patients who received a 3D printed prosthesis. Compared to a current manual process, our approach requires five times less labour of the ocularist and produces reproducible output.

Indexed as

Artificial LimbsEye, ArtificialHumansPrinting, Three-DimensionalProsthesis DesignProsthesis Implantation

Identifiers

PMID38413561
PMCPMC10899237
OpenAlexW4392200966

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.