Evidence map›Paper›PMID 30055841›Full record

ArticleJournal of biomechanics2018

Variogram-based evaluations of DXA correlate with vertebral strength, but do not enhance the prediction compared to aBMD alone.

Xuanliang Neil Dong, Yongtao Lu, Matthias Krause, Gerd Huber, Yan Chevalier, Huijie Leng, Ghislain Maquer

Abstract readComparative Study
In one paragraph

Article in Journal of biomechanics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Xuanliang Neil DongDepartment of Health and Kinesiology, University of Texas at Tyler, Tyler, TX, USA. Electronic address: ndong@uttyler.edu.
Yongtao LuDepartment of Engineering Mechanics, Dalian University of Technology, Dalian, China; Institute of Biomechanics, TUHH Hamburg University of Technology, Hamburg, Germany.
Matthias KrauseDepartment of Osteology and Biomechanics, and Department of Trauma, Hand, and Reconstructive Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Gerd HuberInstitute of Biomechanics, TUHH Hamburg University of Technology, Hamburg, Germany.
Yan ChevalierDepartment of Orthopaedic Surgery, Physical Medicine and Rehabilitation, University Hospital of Munich, Ludwig-Maximilian University, Campus Grosshadern, Munich, Germany.
Huijie LengDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Ghislain MaquerInstitute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.

Funding

Enhanced fracture risk assessment of spine using stochastically treated DXA imageR15AR061740 · NIAMS · UNIVERSITY OF TEXAS TYLER · PI DONG, XUANLIANG NEIL · 2012 to 2012
$385k
NIAMS NIH HHS R15 AR061740
6 · The paper itself

Abstract

Ancillary evaluation of spinal Dual-energy X-ray Absorptiometry (DXA) via variogram-based texture evaluation (e.g., Trabecular Bone Score) is used for improving the fracture risk assessment, despite no proven relationship with vertebral strength. The purpose of this study was thus to determine whether classical variogram-based parameters (sill variance and correlation length) evaluated from simulated DXA scans could help predicting the in vitro vertebral strength. Experimental data of thirteen human full vertebrae (i.e., with posterior elements) and twelve vertebral bodies were obtained from two existing studies. Areal bone mineral density (aBMD) was calculated from 2D projection images of the 3D HR-pQCT scan of the specimens mimicking clinical DXA scans. Stochastic predictors, sill variance and correlation length, were calculated from their experimental variogram. Vertebral strength was measured as the maximum failure load of human vertebrae and vertebral bodies from mechanical tests. Vertebral strength correlated significantly with sill variance (r = 0.727) and correlation length (r = 0.727) for the vertebral bodies, and with correlation length (r = 0.593) for full vertebrae. However, the stochastic predictors improved the strength prediction made by aBMD alone by only 11% for the vertebral bodies while no improvement was observed for the full vertebrae. Despite a correlation, classical variogram parameters such as sill variance and correlation length do not enhance the prediction of in vitro vertebral strength beyond aBMD. It remains unclear why some variogram-based evaluations of DXA improve fracture prediction without a proven relationship with vertebral strength.

Indexed as

Absorptiometry, PhotonBone DensityStatistics as TopicAgedAged, 80 and overFemaleHumansImaging, Three-DimensionalMaleRisk AssessmentSpineTomography, X-Ray ComputedBone mineral density (BMD)Dual-energy X-ray absorptiometry (DXA)Experimental variogramHuman vertebraeOsteoporosis

Identifiers

PMID30055841
PMCPMC6091628

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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.