Evidence map›Paper›PMID 31883385›Full record

ArticlePhotochemistry and photobiology2020

Longitudinal 3D Blood Flow Distribution Provided by Diffuse Correlation Tomography during Bone Healing in a Murine Fracture Model.

Jingxuan Ren, Songfeng Han, Ashley R Proctor, Danielle E Desa, Gabriel A Ramirez, Vincent Ralph D Ching-Roa, Joseph B Majeski, Irfaan A Dar, Nathaniel E Barber, Amanda M Forti and 2 more

Open access · greenAbstract read
In one paragraph

Article in Photochemistry and photobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Jingxuan RenDepartment of Biomedical Engineering, University of Rochester, Rochester, NY.
Songfeng HanInstitute of Optics, University of Rochester, Rochester, NY.
Ashley R ProctorDepartment of Biomedical Engineering, University of Rochester, Rochester, NY.
Danielle E DesaDepartment of Biomedical Engineering, University of Rochester, Rochester, NY.
Gabriel A RamirezDepartment of Biomedical Engineering, University of Rochester, Rochester, NY.
Vincent Ralph D Ching-RoaDepartment of Biomedical Engineering, University of Rochester, Rochester, NY.
Joseph B MajeskiDepartment of Biomedical Engineering, University of Rochester, Rochester, NY.
Irfaan A DarDepartment of Biomedical Engineering, University of Rochester, Rochester, NY.
Nathaniel E BarberDepartment of Biomedical Engineering, University of Rochester, Rochester, NY.
Amanda M FortiDepartment of Biomedical Engineering, University of Rochester, Rochester, NY.
Danielle S W BenoitDepartment of Biomedical Engineering, University of Rochester, Rochester, NY.
Regine ChoeDepartment of Biomedical Engineering, University of Rochester, Rochester, NY.ORCID 0000-0001-5851-4504
University of Rochester · USUniversity of Rochester Medical Center · US

Funding

Rochester Resource-Based Center for Bone, Muscle and Orthopaedic Research (ROCSTARR) (Overall Application)P30AR069655 · NIAMS · UNIVERSITY OF ROCHESTER · PI Edward M. Schwarz · 2016 to 2026
$7.8M
Tissue Engineering Strategies to Revitalize Bone AllograftsR01AR064200 · NIAMS · UNIVERSITY OF ROCHESTER · PI Danielle S. Benoit · 2013 to 2026
$4.0M
Longitudinal monitoring of bone fracture healing using diffuse optical and correlation tomographyR01AR071363 · NIAMS · UNIVERSITY OF ROCHESTER · PI REGINE CHOE · 2017 to 2026
$2.2M
NIAMS NIH HHS P30 AR069655NIAMS NIH HHS R01 AR064200NIAMS NIH HHS R01 AR071363NIH HHS
6 · The paper itself

Abstract

Noninvasive monitoring of vascularization can potentially diagnose impaired bone healing earlier than current radiographic methods. In this study, a noncontact diffuse correlation tomography (DCT) technique was employed to measure longitudinal blood flow changes during bone healing in a murine femoral fracture model. The three-dimensional distribution of the relative blood flow was quantified from one day pre-fracture to 48 days post-fracture. For three mice, frequent DCT measurements were performed every other day for one week after fracture, and then weekly thereafter. A decrease in blood flow was observed in the bone fracture region at one day post-fracture, followed by a monotonic increase in blood flow beyond the pre-injury baseline until five to seven days post-fracture. For the remaining 12 mice, only weekly DCT measurements were performed. Data collected on a weekly basis show the blood flow for most mice was elevated above baseline during the first two post-fracture weeks, followed by a subsequent decrease. Torsional strength of the excised femurs was measured for all 15 mice after 7 weeks of healing. A metric based on the early blood flow changes shows a statistically significant difference between the high strength group and the low strength group.

Indexed as

Fracture HealingImaging, Three-DimensionalRegional Blood FlowAnimalsBiomechanical PhenomenaDisease Models, AnimalFemaleFemoral FracturesFemurMiceMice, Inbred BALB CTomography

Identifiers

PMID31883385
PMCPMC7138748
OpenAlexW2998665358

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.