Evidence map›Paper›PMID 34683123›Full record

ArticleJournal of personalized medicine2021

Soft-Tissue Simulation for Computational Planning of Orthognathic Surgery.

Patricia Alcañiz, Jesús Pérez, Alessandro Gutiérrez, Héctor Barreiro, Ángel Villalobos, David Miraut, Carlos Illana, Jorge Guiñales, Miguel A Otaduy

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. 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
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. AI-assisted mesh generation for subject-specific modeling of facial soft tissues.International journal of computer assisted radiology and surgery · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
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

9 authors.

Patricia AlcañizDepartment of Computer Science, Universidad Rey Juan Carlos, 28933 Madrid, Spain.ORCID 0000-0002-3592-8269
Jesús PérezDepartment of Computer Science, Universidad Rey Juan Carlos, 28933 Madrid, Spain.
Alessandro GutiérrezFundación Para la Investigación Biomédica del Hospital Universitario La Paz, 28029 Madrid, Spain.ORCID 0000-0002-1324-9986
Héctor BarreiroDepartment of Computer Science, Universidad Rey Juan Carlos, 28933 Madrid, Spain.ORCID 0000-0002-9277-4630
Ángel VillalobosGMV Innovating Solutions, 28760 Madrid, Spain.
David MirautGMV Innovating Solutions, 28760 Madrid, Spain.ORCID 0000-0003-1648-5308
Carlos IllanaGMV Innovating Solutions, 28760 Madrid, Spain.
Jorge GuiñalesHospital Universitario La Paz, 28046 Madrid, Spain.
Miguel A OtaduyDepartment of Computer Science, Universidad Rey Juan Carlos, 28933 Madrid, Spain.ORCID 0000-0002-3880-7622

Funding

Agencia Estatal de Investigación RTC-2017-5878-1European Commission 764644
6 · The paper itself

Abstract

Simulation technologies offer interesting opportunities for computer planning of orthognathic surgery. However, the methods used to date require tedious set up of simulation meshes based on patient imaging data, and they rely on complex simulation models that require long computations. In this work, we propose a modeling and simulation methodology that addresses model set up and runtime simulation in a holistic manner. We pay special attention to modeling the coupling of rigid-bone and soft-tissue components of the facial model, such that the resulting model is computationally simple yet accurate. The proposed simulation methodology has been evaluated on a cohort of 10 patients of orthognathic surgery, comparing quantitatively simulation results to post-operative scans. The results suggest that the proposed simulation methods admit the use of coarse simulation meshes, with planning computation times of less than 10 seconds in most cases, and with clinically viable accuracy.

Indexed as

finite-element modelorthognathic surgerysoft-tissue simulationsurgical planning

Identifiers

PMID34683123
PMCPMC8540582

What OpenQuestion holds

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Registered trials

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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.