Evidence map›Paper›PMID 35806875›Full record

ArticleJournal of clinical medicine2022

Microtia Ear Reconstruction with Patient-Specific 3D Models-A Segmentation Protocol.

Juan Pablo Rodríguez-Arias, Alessandro Gutiérrez Venturini, Marta María Pampín Martínez, Elena Gómez García, Jesús Manuel Muñoz Caro, Maria San Basilio, Mercedes Martín Pérez, José Luis Cebrián Carretero

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

8 authors.

Juan Pablo Rodríguez-AriasOral and Maxillofacial Surgery Department, University Hospital La Paz, 28046 Madrid, Spain.ORCID 0000-0001-5548-0302
Alessandro Gutiérrez VenturiniFundación Para la Investigación Biomédica del Hospital Universitario La Paz, Calle de Pedro Rico 6, 28029 Madrid, Spain.ORCID 0000-0002-1324-9986
Marta María Pampín MartínezOral and Maxillofacial Surgery Department, University Hospital La Paz, 28046 Madrid, Spain.ORCID 0000-0001-6269-4165
Elena Gómez GarcíaOral and Maxillofacial Surgery Department, University Hospital La Paz, 28046 Madrid, Spain.
Jesús Manuel Muñoz CaroOral and Maxillofacial Surgery Department, University Hospital La Paz, 28046 Madrid, Spain.
Maria San BasilioDeparment of Pediatric Surgery, Hospital Universitario La Paz, Calle de Pedro Rico 6, 28029 Madrid, Spain.ORCID 0000-0001-9467-0029
Mercedes Martín PérezOral and Maxillofacial Surgery Department, University Hospital La Paz, 28046 Madrid, Spain.
José Luis Cebrián CarreteroOral and Maxillofacial Surgery Department, University Hospital La Paz, 28046 Madrid, Spain.ORCID 0000-0001-6253-9800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: In recent years, three-dimensional (3D) templates have replaced traditional two-dimensional (2D) templates as visual guides during intra-operative carving of the autogenous cartilage framework in microtia reconstruction. This study aims to introduce a protocol of the fabrication of patient-specific, 3D printed and sterilizable auricular models for autogenous auricular reconstruction. (2) Methods: The patient's unaffected ear was captured with a high-resolution surface 3D scan (Artec Eva) and post-processed in order to obtain a clean surface model (STL format). In the next step, the ear was digitally mirrored, segmented and separated into its component auricle parts for reconstruction. It was disassembled into helix, antihelix, tragus and base and a physical model was 3D printed for each part. Following this segmentation, the cartilage was carved in the operating room, based on the models. (3) Results: This segmentation technique facilitates the modeling and carving of the scaffold, with adequate height, depth, width and thickness. This reduces both the surgical time and the amount of costal cartilage used. (4) Conclusions: This segmentation technique uses surface scanning and 3D printing to produce sterilizable and patient-specific 3D templates.

Indexed as

3D printingmicrotiareconstructionsurface scansurgical planning

Identifiers

PMID35806875
PMCPMC9267130

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.