Evidence map›Paper›PMID 36582023›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2023

A new method for segmentation and analysis of bone callus in rodent fracture models using micro-CT.

Mark Hopkinson, Gareth Jones, Lucinda Evans, Stephanie Gohin, Ran Magnusdottir, Phil Salmon, Chantal Chenu, Richard Meeson, Behzad Javaheri, Andrew A Pitsillides

Open access · hybridAbstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2023. 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
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Adaptive Image Segmentation Reveals Substantial Cortical Bone Remodeling During Early Fracture Repair.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2024
    Article
  3. A new method for segmentation and analysis of bone callus in rodent fracture models using micro-CT.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    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

10 authors at 2 institutions in 2 countries.

Mark HopkinsonComparative Biological Sciences, Royal Veterinary College, London, UK.ORCID 0000-0002-9508-8652
Gareth JonesClinical Science and Services, Royal Veterinary College, London, UK.
Lucinda EvansComparative Biological Sciences, Royal Veterinary College, London, UK.
Stephanie GohinComparative Biological Sciences, Royal Veterinary College, London, UK.
Ran MagnusdottirComparative Biological Sciences, Royal Veterinary College, London, UK.
Phil SalmonBruker-microCT, Kontich, Belgium.
Chantal ChenuComparative Biological Sciences, Royal Veterinary College, London, UK.ORCID 0000-0002-5727-6070
Richard MeesonClinical Science and Services, Royal Veterinary College, London, UK.
Behzad JavaheriComparative Biological Sciences, Royal Veterinary College, London, UK.
Andrew A PitsillidesComparative Biological Sciences, Royal Veterinary College, London, UK.
Royal Veterinary College · GBBruker (United States) · US

Funding

Medical Research Council MR/N002318/1
6 · The paper itself

Abstract

Fracture burden has created a need to better understand bone repair processes under different pathophysiological states. Evaluation of structural and material properties of the mineralized callus, which is integral to restoring biomechanical stability is, therefore, vital. Microcomputed tomography (micro-CT) can facilitate noninvasive imaging of fracture repair, however, current methods for callus segmentation are only semiautomated, restricted to defined regions, time/labor intensive, and prone to user variation. Herein, we share a new automatic method for segmenting callus in micro-CT tomograms that will allow for objective, quantitative analysis of the bone fracture microarchitecture. Fractured and nonfractured mouse femurs were scanned and processed by both manual and automated segmentation of fracture callus from cortical bone after which microarchitectural parameters were analyzed. All segmentation and analysis steps were performed using CTAn (Bruker) with automatic segmentation performed using the software's image-processing plugins. Results showed automatic segmentation reliably and consistently segmented callus from cortical bone, demonstrating good agreement with manual methods with low bias: tissue volume (TV): -0.320 mm

Indexed as

Femoral FracturesRodentiaAnimalsBony CallusFemurMiceRatsX-Ray Microtomographyautomated segmentationbonecallusfracturemicro-CT

Identifiers

PMID36582023
PMCPMC10947128
OpenAlexW4313311840

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.