Evidence map›Paper›PMID 28163787›Full record

ArticleJournal of foot and ankle research2017

Statistical shape models of cuboid, navicular and talus bones.

Aleksandra U Melinska, Patryk Romaszkiewicz, Justyna Wagel, Bartlomiej Antosik, Marek Sasiadek, D Robert Iskander

Open access · goldAbstract read
In one paragraph

Article in Journal of foot and ankle research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  3. Morphological analysis of ankle joint space width.Surgical and radiologic anatomy : SRA · 2025
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  5. Ankle osteoarthritis: Toward new understanding and opportunities for prevention and intervention.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024
    Review
  6. Article
  7. HumanJournal of the Royal Society, Interface · 2024
    Article
  8. Article
  9. Review
  10. Statistical shape model of the talus bone morphology: A comparison between impinged and nonimpinged ankles.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Morphologic analysis of the subtalar joint using statistical shape modeling.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Morphological analysis of sigmoid sinus anatomy: clinical applications to neurotological surgery.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale · 2019
    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

6 authors at 4 institutions in 1 country.

Aleksandra U MelinskaDepartment of Biomedical Engineering, Wroclaw University of Science and Technology, 50370, Wybrzeze Wyspianskiego, Wroclaw, Poland.
Patryk RomaszkiewiczRegional Specialist Hospital, Research and Development Centre, Chair of Orthopaedics, Kamienskiego, Wroclaw, 24105 Poland.
Justyna WagelDepartment of General Radiology, Interventional Radiology and Neuroradiology, Chair of Radiology, Wroclaw Medical University, Borowska, Wroclaw, 24105 Poland.
Bartlomiej AntosikDepartment of Biomedical Engineering, Wroclaw University of Science and Technology, 50370, Wybrzeze Wyspianskiego, Wroclaw, Poland.
Marek SasiadekDepartment of General Radiology, Interventional Radiology and Neuroradiology, Chair of Radiology, Wroclaw Medical University, Borowska, Wroclaw, 24105 Poland.
D Robert IskanderDepartment of Biomedical Engineering, Wroclaw University of Science and Technology, 50370, Wybrzeze Wyspianskiego, Wroclaw, Poland.
Wroclaw Medical University · PLWrocław University of Science and Technology · PLAGH University of Krakow · PLWroclaw Research Centre EIT+ (Poland) · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim was to develop statistical shape models of the main human tarsal bones that would result in novel representations of cuboid, navicular and talus.

methodsFifteen right and 15 left retrospectively collected computed tomography data sets from male individuals, aged from 17 to 63 years, with no known foot pathology were collected. Data were gathered from 30 different subjects. A process of model building includes image segmentation, unifying feature position, mathematical shape description and obtaining statistical shape geometry.

resultsOrthogonal decomposition of bone shapes utilising spherical harmonics was employed providing means for unique parametric representation of each bone. Cross-validated classification results based on parametric spherical harmonics representation showed high sensitivity and high specificity greater than 0.98 for all considered bones.

conclusionsThe statistical shape models of cuboid, navicular and talus created in this work correspond to anatomically accurate atlases that have not been previously considered. The study indicates high clinical potential of statistical shape modelling in the characterisation of tarsal bones. Those novel models can be applied in medical image analysis, orthopaedics and biomechanics in order to provide support for preoperative planning, better diagnosis or implant design.

Indexed as

Models, AnatomicAdolescentAdultHumansMaleMiddle AgedModels, StatisticalRetrospective StudiesTalusTarsal BonesYoung AdultBone modelCalcaneusCuboidMorphometryNavicularShape modellingSpherical harmonicsTalus

Identifiers

PMID28163787
PMCPMC5282805
OpenAlexW2581122127

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.