Evidence map›Paper›PMID 39108555›Full record

ArticleSkin appendage disorders2024

Advantages of Nail Surgical Procedures Using a 3D Biomodel.

Robertha Carvalho Nakamura, Andreia Leverone, Carolina Avila de Almeida, Heron Werner, Clarissa Canella

Abstract read
In one paragraph

Article in Skin appendage disorders, 2024. 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.

Robertha Carvalho NakamuraNail Study Center, Institute of Dermatology Professor Rubem David Azulay ‒ Santa Casa da Misericódia do Rio de Janeiro, Rio de Janeiro, Brazil.
Andreia LeveroneNail Study Center, Institute of Dermatology Professor Rubem David Azulay ‒ Santa Casa da Misericódia do Rio de Janeiro, Rio de Janeiro, Brazil.
Carolina Avila de AlmeidaInstituto Nacional do Cancer do Rio de Janeiro, Rio de Janeiro, Brazil.
Heron WernerBio Design, Bio Design Laboratory, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, Brazil.
Clarissa CanellaUniversidade Federal Fluminense de Niterói, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: 3D biomodels represent a cutting-edge advancement in medical imaging technology. The incorporation of 3D technologies in dermatology through the acquisition of onychological images, 3D reconstruction, and development of customized equipment to assist in surgeries demonstrated reduction in operating times and improved surgical outcomes. Additionally, the use of 3D printing in surgical simulation provided a safe environment for training and education. This article explores the application of 3D biomodels in dermatology, focusing on three clinical cases involving nail tumors. Case Presentation: In case 1, a glomus tumor was visualized in 3D, guiding the creation of a personalized surgical device. The minimally invasive surgery, facilitated by the biomodel, resulted in successful tumor removal. Case 2, featuring a subungual keratoacanthoma, utilized 3D biomodels for conservative surgery planning, anatomical comprehension, and patient communication. Case 3 involved a longitudinal groove, where biomodels aided in precise lesion localization and surgical planning. Conclusion: The integration of virtual and physical anatomical biomodels proves valuable in surgical dermatology, contributing to enhanced treatment quality, patient safety, and medical education.

Indexed as

3D biomodelsDermatologyMedical imagingNail tumorsSurgical planning

Identifiers

PMID39108555
PMCPMC11299961

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.