Evidence map›Paper›PMID 33276153›Full record

ArticleBone2021

A new approach to analyzing regenerated bone quality in the mouse digit amputation model using semi-automatic processing of microCT data.

Kevin F Hoffseth, Jennifer Simkin, Emily Busse, Kennon Stewart, James Watt, Andrew Chapple, Aaron Hargrove, Mimi C Sammarco

Abstract read
In one paragraph

Article in Bone, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. 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

8 authors.

Kevin F HoffsethDepartment of Biological & Agricultural Engineering, Louisiana State University, 149 E.B. Doran Building, Baton Rouge, LA 70803, USA. Electronic address: khoffseth@agcenter.lsu.edu.
Jennifer SimkinDepartment of Orthopaedic Surgery, Louisiana State University Health Sciences Center, New Orleans, 533 Bolivar Street, New Orleans, LA 70112, USA. Electronic address: jsimki@lsuhsc.edu.
Emily BusseDepartment of Surgery, Tulane School of Medicine, 1400 Tulane Ave, DEPT 8622, New Orleans, LA. 70112, USA. Electronic address: ebusse@tulane.edu.
Kennon StewartDepartment of Surgery, Tulane School of Medicine, 1400 Tulane Ave, DEPT 8622, New Orleans, LA. 70112, USA. Electronic address: kstewart2@tulane.edu.
James WattDepartment of Surgery, Tulane School of Medicine, 1400 Tulane Ave, DEPT 8622, New Orleans, LA. 70112, USA. Electronic address: jwatt@bu.edu.
Andrew ChappleDepartment of Biostatistics, Louisiana State University Health Sciences Center, New Orleans, 533 Bolivar Street, New Orleans, LA 70112, USA. Electronic address: achapp@lsuhsc.edu.
Aaron HargroveDepartment of Biological & Agricultural Engineering, Louisiana State University, 149 E.B. Doran Building, Baton Rouge, LA 70803, USA. Electronic address: aharg11@lsu.edu.
Mimi C SammarcoDepartment of Surgery, Tulane School of Medicine, 1400 Tulane Ave, DEPT 8622, New Orleans, LA. 70112, USA. Electronic address: msammarc@tulane.edu.

Funding

The role of the CMV-associated reactive oxygen species in age-relatedP20GM103629 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI ROUT, NAMITA · 2012 to 2021
$22.4M
NIGMS NIH HHS P20 GM103629
6 · The paper itself

Abstract

Bone regeneration is a critical area of research impacting treatment of diseases such as osteoporosis, age-related decline, and orthopaedic implants. A crucial question in bone regeneration is that of bone architectural quality, or how "good" is the regenerated bone tissue structurally? Current methods address typical long bone architecture, however there exists a need for improved ability to quantify structurally relevant parameters of bone in non-standard bone shapes. Here we present a new analysis approach based on open-source semi-automatic methods combining image processing, solid modeling, and numerical calculations to analyze bone tissue at a more granular level using μCT image data from a mouse digit model of bone regeneration. Examining interior architecture, growth patterning, spatial mineral content, and mineral density distribution, these methods are then applied to two types of 6-month old mouse digits - 1) those prior to amputation injury (unamputated) and 2) those 42 days after amputation when bone has regenerated. Results show regenerated digits exhibit increased inner void fraction, decreased patterning, different patterns of spatial mineral distribution, and increased mineral density values when compared to unamputated bone. Our approach demonstrates the utility of this new analysis technique in assessment of non-standard bone models, such as the regenerated bone of the digit, and aims to bring a deeper level of analysis with an open-source, integrative platform to the greater bone community.

Indexed as

Bone and BonesBone RegenerationAmputation, SurgicalAnimalsDisease Models, AnimalMiceX-Ray MicrotomographyBone patternBone qualitymicroCTMorphologyRegenerationSemi-automatic

Identifiers

PMID33276153
PMCPMC7906109

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.