Evidence map›Paper›PMID 35779076›Full record

ArticleSurgical and radiologic anatomy : SRA2022

3D printing for orbital volume anatomical measurement.

Nolwenn Piot, Florent Barry, Matthias Schlund, Joël Ferri, Xavier Demondion, Romain Nicot

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Article in Surgical and radiologic anatomy : SRA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
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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

6 authors.

Nolwenn PiotService de Chirurgie Maxillo-Faciale et Stomatologie, Hôpital Roger Salengro - CHU Lille, Rue Emile Laine, 59037, Lille Cedex, France. nolwenn.piot@hotmail.fr.ORCID http://orcid.org/0000-0002-5076-1233
Florent BarryINSERM, Service de Chirurgie Maxillo-Faciale et Stomatologie, U1008 - Controlled Drug Delivery Systems and Biomaterials, Univ. Lille, CHU Lille, F-59000, Lille, France.
Matthias SchlundINSERM, Service de Chirurgie Maxillo-Faciale et Stomatologie, U1026 - Bioengineering of Tissues, Univ. of Bordeaux, CHU Bordeaux, F-33000, Bordeaux, France.
Joël FerriINSERM, Service de Chirurgie Maxillo-Faciale et Stomatologie, U1008 - Controlled Drug Delivery Systems and Biomaterials, Univ. Lille, CHU Lille, F-59000, Lille, France.
Xavier DemondionULR 7367 - UTML&A - Unité de Taphonomie Médico-Légale, d'Anatomie, Univ. Lille, CHU Lille, F-59000, Lille, France.
Romain NicotINSERM, Service de Chirurgie Maxillo-Faciale et Stomatologie, U1008 - Controlled Drug Delivery Systems and Biomaterials, Univ. Lille, CHU Lille, F-59000, Lille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim was to develop a method for reproducible orbital volume (OV) measurement in vivo based on 3D printing.

methodsTwelve orbits were obtained from dry skulls of the Human Anatomy Department of Lille University. Computer tomography (CT) slice images of these orbits were transformed into stereo-lithography (STL) format and 3D-printed. Bone openings were closed using either putty and cellophane after printing (3D-Orb-1) or at the printing stage in silico using MeshMixer (3D-Orb-2). The results were compared with those of the conventional water-filling method as a control group (Anat-Orb).

resultsThe observers reported a mean orbital volume of 21.3 ± 2.1 cm

conclusionOur 3D-printing method provides a standardized and reproducible method for the measurement of orbital volume.

Indexed as

OrbitPrinting, Three-DimensionalHumansImaging, Three-DimensionalReproducibility of ResultsSkullTomography, X-Ray Computed3D printOrbitOrbital volumeSkull

Identifiers

What OpenQuestion holds

Textmetadata
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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.