Evidence map›Paper›PMID 31840849›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2020

MicroCT vascular network analysis program: Development, validation, and comparison to manufacturer software.

John Peters, Luke Vest, Matthew Schuelke, Silviya P Zustiak, Andrew F Hall, Sarah McBride-Gagyi

Abstract readComparative StudyValidation Study
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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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

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5 · Who and what money

Authors and funding

6 authors.

John PetersDepartment of Orthopaedic Surgery, Saint Louis University, St Louis, Missouri.
Luke VestDepartment of Orthopaedic Surgery, Saint Louis University, St Louis, Missouri.
Matthew SchuelkeResearch Strategy Group, Office of the Vice President of Research, Saint Louis University, St Louis, Missouri.
Silviya P ZustiakDepartment of Biomedical Engineering, Saint Louis University, St Louis, Missouri.
Andrew F HallDepartment of Biomedical Engineering, Saint Louis University, St Louis, Missouri.
Sarah McBride-GagyiDepartment of Orthopaedic Surgery, Saint Louis University, St Louis, Missouri.ORCID 0000-0003-2652-7997

Funding

Resource Based Center for Musculoskeletal Biology and Medicine (Overall Application)P30AR074992 · NIAMS · WASHINGTON UNIVERSITY · PI MATTHEW J SILVA · 2019 to 2026
$6.8M
NIAMS NIH HHS P30 AR074992
6 · The paper itself

Abstract

The dependence on angiogenesis for bone repair makes accurate measuring of vascular networks of great importance to orthopedic researchers. A three-dimensional imaging modality like microcomputed tomography (µCT) would better capture these networks than histology. There are commercially available programs to analyze vessel networks in three dimensions, but these may be too costly for laboratories. Alternatively, µCT trabecular software could be used but may not be appropriate. The goal of this project was to develop a vascular network analysis protocol based on freely or commonly available software and compare its performance to that of a µCT trabecular analysis software. The protocol developed, called vascular network analysis or VNA, relies on two modules in Fiji ImageJ and a custom MATLAB program. We validated the software and compared it to a µCT trabecular analysis program (MicroCT) using in silico models of increasing complexity and differing homogeneity. In general, VNA outcomes were significantly different from true values, but most were within an acceptable percent error (<10%). VNA and MicroCT performed almost identically for volume but significantly differently for average vessel diameter. For the homogenous models, the average diameters differed only slightly but were starkly different for the heterogeneous models. In the most heterogeneous system, the MicroCT software overestimated average diameter by about 650% from true. VNA was within 1% of true for the same model. In conclusion, we have developed a program to analyze vascular networks from MicroCT scans which is easily accessible, insensitive to network homogeneity, and of higher accuracy compared to a µCT trabecular analysis software.

Indexed as

SoftwareBlood VesselsCancellous BoneHumansX-Ray Microtomographyangiogenesisbone repairMicroCTsoftwarevascular networks

Identifiers

PMID31840849
PMCPMC7790441

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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.