Evidence map›Paper›PMID 29889824›Full record

ArticleJournal of orthopaedic trauma2018

Image Analysis Software as a Strategy to Improve the Radiographic Determination of Fracture Healing.

Jeffrey Duryea, Christopher Evans, Vaida Glatt

Abstract read
In one paragraph

Article in Journal of orthopaedic trauma, 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

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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Jeffrey DuryeaDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Christopher EvansRehabilitation Medicine Research Center, Mayo Clinic, Rochester, MN.
Vaida GlattDepartment of Orthopaedic Surgery, University of Texas Health Science Center San Antonio, TX.

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
Healing of Segmental Defects of Bone by Gene TransferR01AR050243 · NIAMS · MAYO CLINIC ROCHESTER · PI EVANS, CHRISTOPHER HOWARD · 2003 to 2014
$6.0M
NCATS NIH HHS UL1 TR001102NIAMS NIH HHS R01 AR050243
6 · The paper itself

Abstract

objectivesTo develop and validate an unbiased, accurate, convenient, and inexpensive means of determining when an osseous defect has healed and recovered sufficient strength to allow weight bearing.

methodsA novel image processing software algorithm was created to analyze the radiographic images and produce a metric designed to reflect the bone strength. We used a rat femoral segmental defect model that provides a range of healing responses from complete union to nonunion. Femora were examined by x-ray, micro-computed tomography and mechanical testing. Accurate simulated radiographic images at different incident x-ray beam angles were produced from the micro-computed tomography data files.

resultsThe software-generated metric (SC) showed high levels of correlation with both the mechanical strength (τMech) and the polar moment of inertia (pMOI), with the mechanical testing data having the highest association. The optimization analysis yielded optimal oblique angles θB of 125 degrees for τMech and 50 degrees for pMOI. The Pearson R values for the optimized model were 0.71 and 0.64 for τMech and pMOI, respectively. Further validation using true radiographs also demonstrated that the metric was accurate and that the simulations were realistic.

conclusionsThe preliminary findings suggest a very promising methodology to assess bone fracture healing using conventional radiography. With radiographs acquired at appropriate incident angles, it proved possible to accurately calculate the degree of healing and the mechanical strength of the bone. Further research is necessary to refine this approach and determine whether it translates to the human clinical setting.

Indexed as

SoftwareAnimalsDisease Models, AnimalFemoral FracturesFracture HealingHumansImage Interpretation, Computer-AssistedMaleQuality ImprovementRandom AllocationRatsRats, Sprague-DawleyTensile StrengthTime FactorsWeight-BearingX-Ray Microtomography

Identifiers

PMID29889824
PMCPMC6103842

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.