Evidence map›Paper›PMID 24936286›Full record

ArticleJournal of biomedical semantics2014

My Corporis Fabrica: an ontology-based tool for reasoning and querying on complex anatomical models.

Olivier Palombi, Federico Ulliana, Valentin Favier, Jean-Claude Léon, Marie-Christine Rousset

Registry-linked trialAbstract read
In one paragraph

Article in Journal of biomedical semantics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03037853 (Anatomic Altas of the Whole Human Body), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT03037853 completednot on this mapstarted 2015, after this paper: background citation

Anatomic Altas of the Whole Human Body

TypeobservationalSponsorUniversity Hospital, GrenobleRan2015 to 2015Enrolled20ConditionsHealthy VolunteerArmsHealthy volunteers
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
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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.

Olivier PalombiDepartment of Anatomy, LADAF, Université Joseph Fourier, Grenoble, France ; LJK (CNRS-UJF-INPG-UPMF), INRIA, Université de Grenoble, Grenoble, France.
Federico UllianaLIG (CNRS-UJF-INPG-UPMF), Université de Grenoble, Grenoble, France.
Valentin FavierDepartment of Anatomy, LADAF, Université Joseph Fourier, Grenoble, France.
Jean-Claude LéonLJK (CNRS-UJF-INPG-UPMF), INRIA, Université de Grenoble, Grenoble, France.
Marie-Christine RoussetLIG (CNRS-UJF-INPG-UPMF), Université de Grenoble, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple models of anatomy have been developed independently and for different purposes. In particular, 3D graphical models are specially useful for visualizing the different organs composing the human body, while ontologies such as FMA (Foundational Model of Anatomy) are symbolic models that provide a unified formal description of anatomy. Despite its comprehensive content concerning the anatomical structures, the lack of formal descriptions of anatomical functions in FMA limits its usage in many applications. In addition, the absence of connection between 3D models and anatomical ontologies makes it difficult and time-consuming to set up and access to the anatomical content of complex 3D objects.

resultsFirst, we provide a new ontology of anatomy called My Corporis Fabrica (MyCF), which conforms to FMA but extends it by making explicit how anatomical structures are composed, how they contribute to functions, and also how they can be related to 3D complex objects. Second, we have equipped MyCF with automatic reasoning capabilities that enable model checking and complex queries answering. We illustrate the added-value of such a declarative approach for interactive simulation and visualization as well as for teaching applications.

conclusionsThe novel vision of ontologies that we have developed in this paper enables a declarative assembly of different models to obtain composed models guaranteed to be anatomically valid while capturing the complexity of human anatomy. The main interest of this approach is its declarativity that makes possible for domain experts to enrich the knowledge base at any moment through simple editors without having to change the algorithmic machinery. This provides MyCF software environment a flexibility to process and add semantics on purpose for various applications that incorporate not only symbolic information but also 3D geometric models representing anatomical entities as well as other symbolic information like the anatomical functions.

Identifiers

PMID24936286
PMCPMC4040514

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Registered trials

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.