Evidence map›Paper›PMID 33452889›Full record

ArticleCalcified tissue international2021

High-Resolution Cone-Beam Computed Tomography is a Fast and Promising Technique to Quantify Bone Microstructure and Mechanics of the Distal Radius.

Karen Mys, Peter Varga, Filip Stockmans, Boyko Gueorguiev, Verena Neumann, Olivier Vanovermeire, Caroline E Wyers, Joop P W van den Bergh, G Harry van Lenthe

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Calcified tissue international, 2021. 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
2.3field-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

6 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

9 authors at 5 institutions in 3 countries.

Karen MysBiomechanics Section, Mechanical Engineering, KU Leuven, Leuven, Belgium. Karen.Mys@aofoundation.org.ORCID 0000-0001-7045-8998
Peter VargaAO Research Institute Davos, Davos, Switzerland.
Filip StockmansMuscles & Movement, Department of Development and Regeneration, KU Leuven Campus Kulak, Kortrijk, Belgium.
Boyko GueorguievAO Research Institute Davos, Davos, Switzerland.
Verena NeumannAO Research Institute Davos, Davos, Switzerland.
Olivier VanovermeireDepartment of Radiology, AZ Groeninge, Kortrijk, Belgium.
Caroline E WyersDepartment of Internal Medicine, VieCuri Medical Center, Venlo, The Netherlands.
Joop P W van den BerghDepartment of Internal Medicine, VieCuri Medical Center, Venlo, The Netherlands.
G Harry van LentheBiomechanics Section, Mechanical Engineering, KU Leuven, Leuven, Belgium.
AO Foundation · CHKU Leuven · BEAZ Groeninge · BEMaastricht University · NLMaastricht University Medical Centre · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obtaining high-resolution scans of bones and joints for clinical applications is challenging. HR-pQCT is considered the best technology to acquire high-resolution images of the peripheral skeleton in vivo, but a breakthrough for widespread clinical applications is still lacking. Recently, we showed on trapezia that CBCT is a promising alternative providing a larger FOV at a shorter scanning time. The goals of this study were to evaluate the accuracy of CBCT in quantifying trabecular bone microstructural and predicted mechanical parameters of the distal radius, the most often investigated skeletal site with HR-pQCT, and to compare it with HR-pQCT. Nineteen radii were scanned with four scanners: (1) HR-pQCT (XtremeCT, Scanco Medical AG, @ (voxel size) 82 μm), (2) HR-pQCT (XtremeCT-II, Scanco, @60.7 μm), (3) CBCT (NewTom 5G, Cefla, @75 μm) reconstructed and segmented using in-house developed software and (4) microCT (VivaCT40, Scanco, @19 μm-gold standard). The following parameters were evaluated: predicted stiffness, strength, bone volume fraction (BV/TV) and trabecular thickness (Tb.Th), separation (Tb.Sp) and number (Tb.N). The overall accuracy of CBCT with in-house optimized algorithms in quantifying bone microstructural parameters was comparable (R

Indexed as

Bone DensityCone-Beam Computed TomographyRadiusAlgorithmsBone and BonesHumansX-Ray MicrotomographyBone parametersCBCTHR-pQCT

Identifiers

PMID33452889
OpenAlexW3125598573

What OpenQuestion holds

Textmetadata
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.