Evidence map›Paper›PMID 36350266›Full record

ArticleJournal of biomechanical engineering2023

Stiffness and Strain Properties Derived From Digital Tomosynthesis-Based Digital Volume Correlation Predict Vertebral Strength Independently From Bone Mineral Density.

Yener N Yeni, Daniel Oravec, Joshua Drost, Roger Zauel, Michael J Flynn

Abstract read
In one paragraph

Article in Journal of biomechanical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yener N YeniBone & Joint Center, Henry Ford Hospital Integrative Biosciences Center (iBio), 6135 Woodward, Detroit, MI 48202.
Daniel OravecBone & Joint Center, Henry Ford Hospital Integrative Biosciences Center (iBio), 6135 Woodward, Detroit, MI 48202.
Joshua DrostBone & Joint Center, Henry Ford Hospital Integrative Biosciences Center (iBio), 6135 Woodward, Detroit, MI 48202.
Roger ZauelBone & Joint Center, Henry Ford Hospital Integrative Biosciences Center (iBio), 6135 Woodward, Detroit, MI 48202.
Michael J FlynnDepartment of Radiology, Henry Ford Hospital, One Ford Place, Suite 2F, Detroit, MI 48202.

Funding

A Clinically Viable Noninvasive Method for Direct Measurement of Mechanical Strains in Vertebral BoneR21AR070363 · NIAMS · HENRY FORD HEALTH SYSTEM · PI YENI, YENER N · 2017 to 2018
$363k
NIAMS NIH HHS R21 AR070363
6 · The paper itself

Abstract

Vertebral fractures are the most common osteoporotic fractures, but their prediction using standard bone mineral density (BMD) measurements from dual energy X-ray absorptiometry (DXA) is limited in accuracy. Stiffness, displacement, and strain distribution properties derived from digital tomosynthesis-based digital volume correlation (DTS-DVC) have been suggested as clinically measurable metrics of vertebral bone quality. However, the extent to which these properties correlate to vertebral strength is unknown. To establish this relationship, two independent experiments, one examining isolated T11 and the other examining L3 vertebrae within the L2-L4 segments from cadaveric donors were utilized. Following DXA and DTS imaging, the specimens were uniaxially compressed to fracture. BMD, bone mineral content (BMC), and bone area were recorded for the anteroposterior and lateromedial views from DXA, stiffness, endplate to endplate displacement and distribution statistics of intravertebral strains were calculated from DTS-DVC and vertebral strength was measured from mechanical tests. Regression models were used to examine the relationships of strength with the other variables. Correlations of BMD with vertebral strength varied between experimental groups (R2adj = 0.19-0.78). DTS-DVC derived properties contributed to vertebral strength independently from BMD measures (increasing R2adj to 0.64-0.95). DTS-DVC derived stiffness was the best single predictor (R2adj = 0.66, p < 0.0001) and added the most to BMD in models of vertebral strength for pooled T11 and L3 specimens (R2adj = 0.95, p < 0.0001). These findings provide biomechanical relevance to DTS-DVC calculated properties of vertebral bone and encourage further efforts in the development of the DTS-DVC approach as a clinical tool.

Indexed as

Bone DensitySpinal FracturesAbsorptiometry, PhotonHumansLumbar Vertebrae

Identifiers

PMID36350266
PMCPMC9791669

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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.