Evidence map›Paper›PMID 21712151›Full record

ArticleIEEE transactions on bio-medical engineering2011

Establishing multiscale models for simulating whole limb estimates of electric fields for osseointegrated implants.

Brad M Isaacson, Jeroen G Stinstra, Roy D Bloebaum, Paul F Pasquina, Rob S MacLeod

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Brad M IsaacsonHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Walter Reed Army Medical Center, Washington, DC 20307, USA. bmisaacson@gmail.com
Jeroen G Stinstra
Roy D Bloebaum
Paul F Pasquina
Rob S MacLeod

Funding

VOLUME RENDERINGP41RR012553 · NCRR · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R. · 1999 to 2011
$15.5M
TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R., MACLEOD, ROB S. · 2012 to 2019
$9.7M
NCRR NIH HHS P41 RR012553NCRR NIH HHS P41-RR12553-07NIGMS NIH HHS P41 GM103545
6 · The paper itself

Abstract

Although the survival rates of warfighters in recent conflicts are among the highest in military history, those who have sustained proximal limb amputations may present additional rehabilitation challenges. In some of these cases, traditional prosthetic limbs may not provide adequate function for service members returning to an active lifestyle. Osseointegration has emerged as an acknowledged treatment for those with limited residual limb length and those with skin issues associated with a socket together. Using this technology, direct skeletal attachment occurs between a transcutaneous osseointegrated implant (TOI) and the host bone, thereby eliminating the need for a socket. While reports from the first 100 patients with a TOI have been promising, some rehabilitation regimens require 12-18 months of restricted weight bearing to prevent overloading at the bone-implant interface. Electrically induced osseointegration has been proposed as an option for expediting periprosthetic fixation and preliminary studies have demonstrated the feasibility of adapting the TOI into a functional cathode. To assure safe and effective electric fields that are conducive for osseoinduction and osseointegration, we have developed multiscale modeling approaches to simulate the expected electric metrics at the bone-implant interface. We have used computed tomography scans and volume segmentation tools to create anatomically accurate models that clearly distinguish tissue parameters and serve as the basis for finite element analysis. This translational computational biological process has supported biomedical electrode design, implant placement, and experiments to date have demonstrated the clinical feasibility of electrically induced osseointegration.

Indexed as

Artificial LimbsElectromagnetic FieldsModels, BiologicalAmputation StumpsAmputeesElectric StimulationElectrodesHumansImage Processing, Computer-AssistedOsseointegrationProsthesis DesignTomography, X-Ray ComputedVeterans

Identifiers

PMID21712151
PMCPMC3179554

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Registered trials

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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.