Evidence map›Paper›PMID 42565957›Full record

ArticleMedical & biological engineering & computing2026

Large Intestine Model Editor (LIME): Design and pilot evaluation of an editor for parameterized large intestine 3D models.

Adrián Lugilde-López, Fernando-Ariel Mikic-Fonte, Manuel Caeiro-Rodríguez, Martín Llamas-Nistal, Antonio Rodríguez-D'Jesús

Abstract read
In one paragraph

Article in Medical & biological engineering & computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Adrián Lugilde-LópezAtlanTTic Research Center, GIST Research Group, University of Vigo, Vigo, Spain. adrian.lugilde@det.uvigo.es.ORCID http://orcid.org/0000-0002-2174-7918
Fernando-Ariel Mikic-FonteAtlanTTic Research Center, GIST Research Group, University of Vigo, Vigo, Spain.
Manuel Caeiro-RodríguezAtlanTTic Research Center, GIST Research Group, University of Vigo, Vigo, Spain.
Martín Llamas-NistalAtlanTTic Research Center, GIST Research Group, University of Vigo, Vigo, Spain.
Antonio Rodríguez-D'JesúsUniversity Hospital Complex of Pontevedra, Av. Montecelo, Pontevedra, Pontevedra, 36161, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As virtual training environments for colonoscopy become more prevalent, addressing their limitations such as the scarcity of simulation scenarios and the lack of open, shareable models becomes essential. This paper introduces an editing tool developed to mitigate these issues by enabling non-technical users, such as surgeons, to create varied 3D models of the large intestine. The software employs a parametrized approach using a Bezier spline with control nodes, presets, blendshapes, and specific meshes to enable the generation of a wide range of large intestine configurations, sizes, and pathology conditions. The paper also includes the results of a pilot evaluation focused on the editor utility, model fidelity, and usability, involving 10 colonoscopy practitioners who completed a modeling task and provided feedback via a questionnaire. Results indicate a positive reception, highlighting the realism of the models, user-friendliness, and overall utility. This solution not only addresses key limitations in colonoscopy training, but also lays the foundation for future advancements in colonoscopy simulation technology.

Indexed as

Imaging, Three-DimensionalIntestine, LargeModels, AnatomicSoftwareColonoscopyComputer SimulationHumansPilot ProjectsUser-Computer Interface3D modelingColonoscopyComputer graphicsPilot evaluationVirtual reality

Identifiers

PMID42565957
PMCPMC13635033

What OpenQuestion holds

Textmetadata
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.