Evidence map›Paper›PMID 28073368›Full record

ArticleArthritis research & therapy2017

Advanced Knee Structure Analysis (AKSA): a comparison of bone mineral density and trabecular texture measurements using computed tomography and high-resolution peripheral quantitative computed tomography of human knee cadavers.

Torsten Lowitz, Oleg Museyko, Valérie Bousson, Christine Chappard, Liess Laouisset, Jean-Denis Laredo, Klaus Engelke

Abstract readComparative Study
In one paragraph

Article in Arthritis research & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Torsten LowitzInstitute of Medical Physics, University of Erlangen-Nürnberg, Henkestr. 91, 91052, Erlangen, Germany.
Oleg MuseykoInstitute of Medical Physics, University of Erlangen-Nürnberg, Henkestr. 91, 91052, Erlangen, Germany.
Valérie BoussonAP-HP, Hôpital Lariboisière, Service de Radiologie Ostéo-Articulaire, 2, rue Ambroise-Paré, F-75475, Paris, Cedex 10, France.
Christine ChappardAP-HP, Hôpital Lariboisière, Service de Radiologie Ostéo-Articulaire, 2, rue Ambroise-Paré, F-75475, Paris, Cedex 10, France.
Liess LaouissetAP-HP, Hôpital Lariboisière, Service de Radiologie Ostéo-Articulaire, 2, rue Ambroise-Paré, F-75475, Paris, Cedex 10, France.
Jean-Denis LaredoAP-HP, Hôpital Lariboisière, Service de Radiologie Ostéo-Articulaire, 2, rue Ambroise-Paré, F-75475, Paris, Cedex 10, France.
Klaus EngelkeInstitute of Medical Physics, University of Erlangen-Nürnberg, Henkestr. 91, 91052, Erlangen, Germany. klaus.engelke@imp.uni-erlangen.de.ORCID 0000-0001-9875-4123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA change of loading conditions in the knee causes changes in the subchondral bone and may be a cause of osteoarthritis (OA). However, quantification of trabecular architecture in vivo is difficult due to the limiting spatial resolution of the imaging equipment; one approach is the use of texture parameters. In previous studies, we have used digital models to simulate changes of subchondral bone architecture under OA progression. One major result was that, using computed tomography (CT) images, subchondral bone mineral density (BMD) in combination with anisotropy and global homogeneity could characterize this progression. The primary goal of this study was a comparison of BMD, entropy, anisotropy, variogram slope, and local and global inhomogeneity measurements between high-resolution peripheral quantitative CT (HR-pQCT) and CT using human cadaveric knees. The secondary goal was the verification of the spatial resolution dependence of texture parameters observed in the earlier simulations, two important prerequisites for the interpretation of in vivo measurements in OA patients.

methodThe applicability of texture analysis to characterize bone architecture in clinical CT examinations was investigated and compared to results obtained from HR-pQCT. Fifty-seven human knee cadavers (OA status unknown) were examined with both imaging modalities. Three-dimensional (3D) segmentation and registration processes, together with automatic positioning of 3D analysis volumes of interest (VOIs), ensured the measurement of BMD and texture parameters at the same anatomical locations in CT and HR-pQCT datasets.

resultsAccording to the calculation of dice ratios (>0.978), the accuracy of VOI locations between methods was excellent. Entropy, anisotropy, and global inhomogeneity showed significant and high linear correlation between both methods (0.68 < R

conclusionThe high correlation of HR-pQCT- and CT-based measurements of entropy, global inhomogeneity, and anisotropy suggests interchangeability between devices regarding the quantification of texture. The agreement of the experimentally determined resolution dependence of global inhomogeneity and anisotropy with earlier simulations is an important milestone towards their use to quantify subchondral bone structure. However, an in vivo study is still required to establish their clinical relevance.

Indexed as

AgedAged, 80 and overBone DensityCadaverFemaleHumansImage Processing, Computer-AssistedKnee JointMaleOsteoarthritisTomography, X-Ray ComputedComputed tomographyHigh-resolution peripheral quantitative computed tomographyKnee OASubchondral boneTexture

Identifiers

PMID28073368
PMCPMC5223490

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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.