Evidence map›Paper›PMID 38551890›Full record

ArticlePloS one2024

3D Slicer open-source software plug-in for vector-based angle calculation of canine hind limb alignment in computed tomographic images.

Juliette Burg-Personnaz, Martin Zöllner, Sven Reese, Andrea Meyer-Lindenberg, Andreas Brühschwein

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Juliette Burg-PersonnazCentre of Veterinary Clinical Medicine, Clinic of Small Animal Surgery and Reproduction, Veterinary Faculty, LMU, Munich, Germany.ORCID 0000-0002-1369-0755
Martin ZöllnerCentre of Veterinary Clinical Medicine, Clinic of Small Animal Surgery and Reproduction, Veterinary Faculty, LMU, Munich, Germany.
Sven ReeseDepartment of Veterinary Sciences, Veterinary Faculty, Institute of Veterinary Anatomy, Histology and Embryology, LMU, Munich, Germany.
Andrea Meyer-LindenbergCentre of Veterinary Clinical Medicine, Clinic of Small Animal Surgery and Reproduction, Veterinary Faculty, LMU, Munich, Germany.
Andreas BrühschweinCentre of Veterinary Clinical Medicine, Clinic of Small Animal Surgery and Reproduction, Veterinary Faculty, LMU, Munich, Germany.
Ludwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere and complex angular limb deformities in dogs require accurate morphological assessment using diagnostic imaging to achieve successful orthopedic surgery. Computed tomography (CT) is commonly used to overcome projection errors in two-dimensional angular measurements of dog hindlimb alignment. Three-dimensional volume rendering (VR) techniques permit virtual positioning and variable projection, but the final CT-image that defines the projection plane for angular measurements remains two-dimensional.

objectiveWe wanted to develop a true three-dimensional open-source technique to measure the alignments of the hind limbs of dogs in CT scanners.

methodsWe developed an open-source 3D Slicer plug-in, to perform angular measurements using vector calculations in three-dimensional space. In 113 CT-scans of canine pelvic limbs, femoral torsion, femoral varus, femorotibial rotation, tibial torsion, tibial varus and tibiotalar rotation angles were calculated and compared to an already validated technique using VoXim®.

resultsReference points were identified and measurements were possible in the 113 acquisitions. The greatest difference between the two techniques was 1.4° at only one tibial torsion angle. Mean values for all Bland-Altman plots did not show significant differences and were less than 0.07° for all comparisons. DISCUSSION: Based on these results we considered angular measurements of canine hind limb alignment in CT scans using the 3D Slicer extension program sufficiently accurate for clinical orthopedic and surgical purposes in veterinary medicine.

conclusionWith our open-source 3D Slicer extension software, we provide a free accessible tool for veterinary orthopedic surgeons and thus we hope to improve angular measurements in CT-scans of canine hind limb deformities through true three-dimensionality.

Indexed as

Lower ExtremityTibiaAnimalsDogsFemurHindlimbImaging, Three-DimensionalSoftwareTomography, X-Ray Computed

Identifiers

PMID38551890
PMCPMC10980227
OpenAlexW4393305816

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.