Evidence map›Paper›PMID 30173933›Full record

ArticleJournal of biomechanics2018

Assessment of vertebral wedge strength using cancellous textural properties derived from digital tomosynthesis and density properties from dual energy X-ray absorptiometry and high resolution computed tomography.

Yener N Yeni, Woong Kim, Daniel Oravec, Mary Nixon, George W Divine, Michael J Flynn

Abstract read
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 6 papers.

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

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

6 citing papers in PubMed.

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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.

Yener N YeniBone and Joint Center, Henry Ford Hospital, Detroit, MI, United States. Electronic address: yeni@bjc.hfh.edu.
Woong KimBone and Joint Center, Henry Ford Hospital, Detroit, MI, United States.
Daniel OravecBone and Joint Center, Henry Ford Hospital, Detroit, MI, United States.
Mary NixonBone and Joint Center, Henry Ford Hospital, Detroit, MI, United States.
George W DivineBone and Joint Center, Henry Ford Hospital, Detroit, MI, United States.
Michael J FlynnBone and Joint Center, Henry Ford Hospital, Detroit, MI, United States.

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
Digital Tomosynthesis-Based Microstructural Measures to Predict Vertebral FragiliR21AR059329 · NIAMS · HENRY FORD HEALTH SYSTEM · PI YENI, YENER N · 2011 to 2012
$363k
NIAMS NIH HHS R21 AR059329NIAMS NIH HHS R21 AR070363
6 · The paper itself

Abstract

The purpose of this study was to examine the potential of digital tomosynthesis (DTS) derived cancellous bone textural measures to predict vertebral strength under conditions simulating a wedge fracture. 40 vertebral bodies (T6, T8, T11, and L3 levels) from 5 male and 5 female cadaveric donors were utilized. The specimens were scanned using dual energy X-ray absorptiometry (DXA) and high resolution computed tomography (HRCT) to obtain measures of bone mineral density (BMD) and content (BMC), and DTS to obtain measures of bone texture. Using a custom loading apparatus designed to deliver a nonuniform displacement resulting in a wedge deformity similar to those observed clinically, the specimens were loaded to fracture and their fracture strength was recorded. Mixed model regressions were used to determine the associations between wedge strength and DTS derived textural variables, alone and in the presence of BMD or BMC information. DTS derived fractal, lacunarity and mean intercept length variables correlated with wedge strength, and individually explained up to 53% variability. DTS derived textural variables, notably fractal dimension and lacunarity, contributed to multiple regression models of wedge strength independently from BMC and BMD. The model from a scan orientation transverse to the spine axis and in the anterior-posterior view resulted in highest explanatory capability (R

Indexed as

Bone DensityMechanical PhenomenaTomography, X-Ray ComputedAbsorptiometry, PhotonAgedAged, 80 and overCancellous BoneFemaleHumansMaleSpineBone densityCancellous bone textureImagingVertebral strengthWedge fracture

Identifiers

PMID30173933
PMCPMC6151144

What OpenQuestion holds

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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.