Evidence map›Paper›PMID 30035065›Full record

ArticleJournal of orthopaedic translation2016

Computational anatomy of the proximal humerus: An

Lukas Kamer, Hansrudi Noser, Albrecht Werner Popp, Mark Lenz, Michael Blauth

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic translation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Age- and sex-related changes in proximal humeral volumetric BMD assessed via chest CT with a deep learning-based segmentation model.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
  3. Article
  4. Semi-automatic proximal humeral trabecular bone density assessment tool: technique application and clinical validation.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
    Article
  5. Morphology and novel classification of proximal humeral fractures.Frontiers in bioengineering and biotechnology · 2024
    Article
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  7. Article
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  9. Article
  10. Finite Element Analysis of Fracture Fixation.Current osteoporosis reports · 2021
    Review
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Therapy for musculoskeletal disorders.Journal of orthopaedic translation · 2016
    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 4 institutions in 3 countries.

Lukas KamerAO Research Institute Davos, Davos, Switzerland.
Hansrudi NoserAO Research Institute Davos, Davos, Switzerland.
Albrecht Werner PoppDepartment of Osteoporosis, Inselspital Bern, University Hospital and University of Bern, Bern, Switzerland.
Mark LenzDepartment of Trauma, Hand and Reconstructive Surgery, University Hospital Jena, Jena, Germany.
Michael BlauthDepartment of Trauma Surgery and Sportsmedicine, Medical University of Innsbruck, Innsbruck, Austria.
AO Foundation · CHInnsbruck Medical University · ATJena University Hospital · DEUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectiveSpatial knowledge of the anatomy of the proximal humerus is critical for effective treatment, particularly in patients affected by fragility fractures. High-resolution peripheral quantitative computed tomography (HR-pQCT) imaging with medical image processing techniques enable three dimensional (3D) analysis of volumetric bone mineral density (vBMD) of bones of different sizes and shapes.

methodsTo elucidate the bony anatomy and to create 3D reference data, we conducted a computerized HR-pQCT-based study in intact postmortem samples of the proximal humerus to highlight the anatomy with particular emphasis on the size, shape, and bone stock distribution pattern.Fifty-eight defrozen intact humerus samples from 28 female and 30 male donors, who were aged 61-98 years old (mean age ± standard deviation, 80.6 ± 9 years), were scanned in the proximal third using the extended standard HR-pQCT protocol. A 3D statistical bone and averaged bone density models with low, middle, and high total vBMDs were computed. We examined the 3D patterns of size and shape variations using principal component analysis, and the vBMD distributions and variabilities using volume-rendering and virtual bore probing.

resultsThe computer models revealed a highly variable bony anatomy in which size was the predominant variation in the first principal component (PC). In the second PC, we observed notable variabilities in the shape of the head and shaft inclination. A distinct 3D pattern of bone stock distribution was detected in which the lowest vBMD values were identified in the medullary cavity, middle values were identified in the central zone, and the highest values were identified in the cortex and humeral head-particularly in the subarticular zones. In the presence of bone loss, the vBMD values were ubiquitously decreased, but the pattern of 3D bone stock distribution was maintained.

conclusionThe new anatomical 3D data that we acquired will improve the understanding of the normal bony anatomy of the proximal humerus. The extended HR-pQCT protocol and computer models may be used for other skeletal sites and used as 3D reference models that can be applied to systematically improve implant design and anchorage.

Indexed as

bone mineral densityfracturehigh-resolution peripheral quantitative computed tomographyosteoporosisproximal humerusthree-dimensional statistical bone model

Identifiers

PMID30035065
PMCPMC5987007
OpenAlexW2202643787

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.