Evidence map›Paper›PMID 31395974›Full record

ReviewNature reviews. Rheumatology2019

Next-generation imaging of the skeletal system and its blood supply.

Anika Grüneboom, Lasse Kling, Silke Christiansen, Leonid Mill, Andreas Maier, Klaus Engelke, Harald H Quick, Georg Schett, Matthias Gunzer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  20. Micron-resolution Imaging of Cortical Bone under 14 T Ultrahigh Magnetic Field.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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

9 authors.

Anika GrüneboomDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nuremberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany.
Lasse KlingMax Planck Institute for the Science of Light, Christiansen Research Group, Erlangen, Germany.
Silke ChristiansenMax Planck Institute for the Science of Light, Christiansen Research Group, Erlangen, Germany.
Leonid MillMax Planck Institute for the Science of Light, Christiansen Research Group, Erlangen, Germany.ORCID http://orcid.org/0000-0001-6449-7309
Andreas MaierPattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-9550-5284
Klaus EngelkeDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nuremberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany.
Harald H QuickErwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany.
Georg SchettDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nuremberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany.
Matthias GunzerInstitute for Experimental Immunology and Imaging, University Hospital, University Duisburg-Essen, Essen, Germany. matthias.gunzer@uni-due.de.ORCID http://orcid.org/0000-0002-5534-6055

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone is organized in a hierarchical 3D architecture. Traditionally, analysis of the skeletal system was based on bone mass assessment by radiographic methods or on the examination of bone structure by 2D histological sections. Advanced imaging technologies and big data analysis now enable the unprecedented examination of bone and provide new insights into its 3D macrostructure and microstructure. These technologies comprise ex vivo and in vivo methods including high-resolution computed tomography (CT), synchrotron-based imaging, X-ray microscopy, ultra-high-field magnetic resonance imaging (MRI), light-sheet fluorescence microscopy, confocal and intravital two-photon imaging. In concert, these techniques have been used to detect and quantify a novel vascular system of trans-cortical vessels in bone. Furthermore, structures such as the lacunar network, which harbours and connects osteocytes, become accessible for 3D imaging and quantification using these methods. Next-generation imaging of the skeletal system and its blood supply are anticipated to contribute to an entirely new understanding of bone tissue composition and function, from macroscale to nanoscale, in health and disease. These insights could provide the basis for early detection and precision-type intervention of bone disorders in the future.

Indexed as

AnimalsDiagnostic ImagingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMicroscopy, ElectronMusculoskeletal SystemOptical ImagingReproducibility of ResultsTomography, X-Ray Computed

Identifiers

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.