Evidence map›Paper›PMID 36153577›Full record

ArticleBMC biomedical engineering2022

An open-access plug-in program for 3D modelling distinct material properties of cortical and trabecular bone.

Gregory R Roytman, Matan Cutler, Kenneth Milligan, Steven M Tommasini, Daniel H Wiznia

Abstract read
In one paragraph

Article in BMC biomedical engineering, 2022. 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

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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

5 authors.

Gregory R RoytmanYale Center for Medical Informatics, Yale School of Medicine, 300 George St, New Haven, CT, 06511, USA. gregory.roytman@yale.edu.ORCID http://orcid.org/0000-0002-5029-3433
Matan CutlerIsoPlexis Proteomic Solution, 35 NE Industrial Rd, Branford, CT, 06405, USA.
Kenneth MilliganOrthopedics and Rehabilitation, Yale School of Medicine, 47 College Place, New Haven, CT, 06510, USA.
Steven M TommasiniOrthopedics and Rehabilitation, Yale School of Medicine, 47 College Place, New Haven, CT, 06510, USA.
Daniel H WizniaOrthopedics and Rehabilitation, Yale School of Medicine, 47 College Place, New Haven, CT, 06510, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundFinite element modelling the material behavior of bone in-silico is a powerful tool to predict the best suited surgical treatment for individual patients.

resultsWe demonstrate the development and use of a pre-processing plug-in program with a 3D modelling image processing software suite (Synopsys Simpleware, ScanIP) to assist with identifying, isolating, and defining cortical and trabecular bone material properties from patient specific computed tomography scans. The workflow starts by calibrating grayscale values of each constituent element with a phantom - a standardized object with defined densities. Using an established power law equation, we convert the apparent density value per voxel to a Young's Modulus. The resulting "calibrated" scan can be used for modeling and in-silico experimentation with Finite Element Analysis.

conclusionsThis process allows for the creation of realistic and personalized simulations to inform a surgeon's decision-making. We have made this plug-in program open and accessible as a supplemental file.

Indexed as

Computed tomographyFinite element analysisIn-SilicoMaterialsModelingOrthopedicsSimulation

Identifiers

PMID36153577
PMCPMC9509591

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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.