Evidence map›Paper›PMID 35092890›Full record

ArticleBone2022

Measuring the thickness of vertebral endplate and shell using digital tomosynthesis.

Yener N Yeni, Michael R Dix, Angela Xiao, Daniel J Oravec, Michael J Flynn

Open access · greenAbstract read
In one paragraph

Article in Bone, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Yener N YeniBone and Joint Center, Henry Ford Hospital, Detroit, MI, United States of America. Electronic address: yeni@bjc.hfh.edu.
Michael R DixBone and Joint Center, Henry Ford Hospital, Detroit, MI, United States of America; School of Medicine, Wayne State University, Detroit, MI, United States of America.
Angela XiaoBone and Joint Center, Henry Ford Hospital, Detroit, MI, United States of America.
Daniel J OravecBone and Joint Center, Henry Ford Hospital, Detroit, MI, United States of America.
Michael J FlynnBone and Joint Center, Henry Ford Hospital, Detroit, MI, United States of America.
Henry Ford Hospital · US

Funding

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 AR059329
6 · The paper itself

Abstract

The vertebral endplate and cortical shell play an important structural role and contribute to the overall strength of the vertebral body, are at highest risk of initial failure, and are involved in degenerative disease of the spine. The ability to accurately measure the thickness of these structures is therefore important, even if difficult due to relatively low resolution clinical imaging. We posit that digital tomosynthesis (DTS) may be a suitable imaging modality for measurement of endplate and cortical shell thickness owing to the ability to reconstruct multiplanar images with good spatial resolution at low radiation dose. In this study, for 25 cadaveric L1 vertebrae, average and standard deviation of endplate and cortical shell thickness were measured using images from DTS and microcomputed tomography (μCT). For endplate thickness measurements, significant correlations between DTS and μCT were found for all variables when comparing thicknesses measured in both the overall endplate volume (R

Indexed as

Lumbar VertebraeHumansRadiographyReference ValuesX-Ray MicrotomographyBone imagingCortical thicknessDigital tomosynthesisMicrocomputed tomographyVertebral endplateVertebral shell

Identifiers

PMID35092890
PMCPMC8858866
OpenAlexW4210253871

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.