Evidence map›Paper›PMID 25512855›Full record

ArticleBoneKEy reports2014

Characterization of knee osteoarthritis-related changes in trabecular bone using texture parameters at various levels of spatial resolution-a simulation study.

Torsten Lowitz, Oleg Museyko, Valerie Bousson, Willi A Kalender, Jean Denis Laredo, Klaus Engelke

Abstract read
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Article in BoneKEy reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 1 institution in 1 country.

Torsten LowitzInstitute of Medical Physics, University of Erlangen-Nürnberg , Erlangen, Germany.
Oleg MuseykoInstitute of Medical Physics, University of Erlangen-Nürnberg , Erlangen, Germany.
Valerie BoussonService de Radiologie Ostéo-Articulaire - Assistance Publique-Hopitaux de Paris, Hôpital Lariboisière , Paris, France ; Univ Paris Diderot, Sorbonne Paris Cité, CNRS UMR 7052 , Paris, France.
Willi A KalenderInstitute of Medical Physics, University of Erlangen-Nürnberg , Erlangen, Germany.
Jean Denis LaredoService de Radiologie Ostéo-Articulaire - Assistance Publique-Hopitaux de Paris, Hôpital Lariboisière , Paris, France ; Univ Paris Diderot, Sorbonne Paris Cité, CNRS UMR 7052 , Paris, France.
Klaus EngelkeInstitute of Medical Physics, University of Erlangen-Nürnberg , Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Articular cartilage and subchondral bone are the key tissues in osteoarthritis (OA). The role of the cancellous bone increasingly attracts attention in OA research. Because of its fast adaptation to changes in the loading distribution across joints, its quantification is expected to improve the diagnosis and monitoring of OA. In this study, we simulated OA progression-related changes of trabecular structure in a series of digital bone models and then characterized the potential of texture parameters and bone mineral density (BMD) as surrogate measures to quantify trabecular bone structure. Five texture parameters were studied: entropy, global and local inhomogeneity, anisotropy and variogram slope. Their dependence on OA relevant structural changes was investigated for three spatial resolutions typically used in micro computed tomography (CT; 10 μm), high-resolution peripheral quantitative CT (HR-pQCT) (90 μm) and clinical whole-body CT equipment (250 μm). At all resolutions, OA-related changes in trabecular bone architecture can be quantified using a specific (resolution dependent) combination of three texture parameters. BMD alone is inadequate for this purpose but if available reduces the required texture parameter combination to anisotropy and global inhomogeneity. The results are summarized in a comprehensive analysis guide for the detection of structural changes in OA knees. In conclusion, texture parameters can be used to characterize trabecular bone architecture even at spatial resolutions below the dimensions of a single trabecula and are essential for a detailed classification of relevant OA changes that cannot be achieved with a measurement of BMD alone.

Identifiers

PMID25512855
PMCPMC4260445
OpenAlexW2039458269

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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.