Evidence map›Paper›PMID 32635238›Full record

ArticleInternational journal of environmental research and public health2020

Evaluation of Imaging Software Accuracy for 3-Dimensional Analysis of the Mandibular Condyle. A Comparative Study Using a Surface-to-Surface Matching Technique.

Antonino Lo Giudice, Vincenzo Quinzi, Vincenzo Ronsivalle, Marco Farronato, Carmelo Nicotra, Francesco Indelicato, Gaetano Isola

Abstract read
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Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

7 authors.

Antonino Lo GiudiceDepartment of General Surgery and Surgical-Medical Specialties, Section of Orthodontics, School of Dentistry, University of Catania, 95123 Catania, Italy.ORCID 0000-0001-6086-2348
Vincenzo QuinziPost Graduate School of Orthodontics, Department of Life, Health and Environmental Sciences, University of L'Aquila, V.le San Salvatore, 67100 L'Aquila, Italy.ORCID 0000-0002-3184-6899
Vincenzo RonsivalleDepartment of General Surgery and Surgical-Medical Specialties, Section of Orthodontics, School of Dentistry, University of Catania, 95123 Catania, Italy.ORCID 0000-0003-3059-4981
Marco FarronatoDepartment of Medicine, Surgery and Dentistry, Section of Orthodontics, University of Milan, 20122 Milan, Italy.ORCID 0000-0002-6209-9873
Carmelo NicotraDepartment of General Surgery and Surgical-Medical Specialties, Section of Orthodontics, School of Dentistry, University of Catania, 95123 Catania, Italy.
Francesco IndelicatoDepartment of General Surgery and Surgical-Medical Specialties, Section of Oral Surgery and Periodontology, School of Dentistry, University of Catania, 95123 Catania, Italy.
Gaetano IsolaDepartment of General Surgery and Surgical-Medical Specialties, Section of Oral Surgery and Periodontology, School of Dentistry, University of Catania, 95123 Catania, Italy.ORCID 0000-0003-4267-6992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to assess the accuracy of 3D rendering of the mandibular condylar region obtained from different semi-automatic segmentation methodology. A total of 10 Cone beam computed tomography (CBCT) were selected to perform semi-automatic segmentation of the condyles by using three free-source software (Invesalius, version 3.0.0, Centro de Tecnologia da Informação Renato Archer, Campinas, SP, Brazil; ITK-Snap, version2.2.0; Slicer 3D, version 4.10.2) and one commercially available software Dolphin 3D (Dolphin Imaging, version 11.0, Chatsworth, CA, USA). The same models were also manually segmented (Mimics, version 17.01, Materialise, Leuven, Belgium) and set as ground truth. The accuracy of semi-automatic segmentation was evaluated by (1) comparing the volume of each semi-automatic 3D rendered condylar model with that obtained with manual segmentation, (2) deviation analysis of each 3D rendered mandibular models with those obtained from manual segmentation. No significant differences were found in the volumetric dimensions of the condylar models among the tested software (

Indexed as

Imaging, Three-DimensionalBelgiumBrazilMandibular CondyleReproducibility of ResultsSoftware3D printing3D renderingcondylecone-beam computed tomographyfield of viewsegmentationthreshold

Identifiers

PMID32635238
PMCPMC7370104

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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.