Evidence map›Paper›PMID 32788593›Full record

ArticleScientific reports2020

Identification of ultrasound imaging markers to quantify long bone regeneration in a segmental tibial defect sheep model in vivo.

Songyuan Tang, Peer Shajudeen, Ennio Tasciotti, Raffaella Righetti

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Songyuan TangDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, 77843, USA.
Peer ShajudeenDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, 77843, USA.
Ennio TasciottiHouston Methodist Hospital, Department of Orthopedics and Sports Medicine, Center for Musculoskeletal Regeneration, Houston, 77030, USA.
Raffaella RighettiDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, 77843, USA. righetti@ece.tamu.edu.ORCID https://orcid.org/0000-0001-9416-0301

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The healing of large bone defects has been investigated for decades due to its complexity and clinical relevance. Ultrasound (US) methods have shown promise in monitoring bone healing, but no quantitative method to assess regenerated bone morphology in US images has been presented yet. In this study, we investigate new US morphometric parameters to quantify bone regeneration in vivo. A segmental tibial defect was surgically created and stabilized in a sheep animal model. US and computed tomography (CT) imaging data were collected two months post-surgery. New bone was assessed, reconstructed and quantified from the US and CT data using 3 morphometric parameters: the new-bone bulk (NBB), new-bone surface (NBS) and new-bone contact (NBC). The distance (mm) between surface reconstructions from repeated US was [Formula: see text] and from US and CT was [Formula: see text]. In the mid-shaft of the defected tibia, US measurements of NBB, NBS and NBC were significantly higher than the corresponding CT measurements ([Formula: see text]). Based on our results, we conclude that US may complement CT to reconstruct and quantify bone regrowth, especially in its early stages.

Indexed as

Bone RegenerationDisease Models, AnimalWound HealingAnimalsBone and BonesFemaleSheepTibiaTibial FracturesTomography, X-Ray ComputedUltrasonography

Identifiers

PMID32788593
PMCPMC7423946

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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.