Evidence map›Paper›PMID 34573945›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Validation and Optimization of Proximal Femurs Microstructure Analysis Using High Field and Ultra-High Field MRI.

Enrico Soldati, Jerome Vicente, Daphne Guenoun, David Bendahan, Martine Pithioux

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Enrico SoldatiAix Marseille Univ, CNRS, IUSTI, 13453 Marseille, France.ORCID 0000-0003-2818-7500
Jerome VicenteAix Marseille Univ, CNRS, IUSTI, 13453 Marseille, France.
Daphne GuenounAix Marseille Univ, CNRS, ISM, 13288 Marseille, France.
David BendahanAix Marseille Univ, CNRS, CRMBM, 13385 Marseille, France.
Martine PithiouxAix Marseille Univ, CNRS, ISM, 13288 Marseille, France.ORCID 0000-0001-5283-3504

Funding

Horizon 2020 713750
6 · The paper itself

Abstract

Trabecular bone could be assessed non-invasively using MRI. However, MRI does not yet provide resolutions lower than trabecular thickness and a comparative analysis between different MRI sequences at different field strengths and X-ray microtomography (μCT) is still missing. In this study, we compared bone microstructure parameters and bone mineral density (BMD) computed using various MRI approaches, i.e., turbo spin echo (TSE) and gradient recalled echo (GRE) images used at different magnetic fields, i.e., 7T and 3T. The corresponding parameters computed from μCT images and BMD derived from dual-energy X-ray absorptiometry (DXA) were used as the ground truth. The correlation between morphological parameters, BMD and fracture load assessed by mechanical compression tests was evaluated. Histomorphometric parameters showed a good agreement between 7T TSE and μCT, with 8% error for trabecular thickness with no significative statistical difference and a good intraclass correlation coefficient (ICC > 0.5) for all the extrapolated parameters. No correlation was found between DXA-BMD and all morphological parameters, except for trabecular interconnectivity (R

Indexed as

air bubbles artefactsbiomechanical fracture testbone microarchitecturebone morphologycadaveric human femurgradient echoosteoporosisturbo spin echoultra-high field MRIμCT

Identifiers

PMID34573945
PMCPMC8466948

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.