Evidence map›Paper›PMID 31709670›Full record

ReviewJournal of magnetic resonance imaging : JMRI2020

Diffusion MRI for Assessment of Bone Quality; A Review of Findings in Healthy Aging and Osteoporosis.

Anahita Fathi Kazerooni, Jose M Pozo, Eugene Vincent McCloskey, Hamidreza Saligheh Rad, Alejandro F Frangi

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

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  10. Correcting BScientific reports · 2022
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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

5 authors at 4 institutions in 3 countries.

Anahita Fathi KazerooniDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-7131-2261
Jose M PozoCISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, School of Computing and School of Medicine, University of Leeds, Leeds, UK.
Eugene Vincent McCloskeyDepartment of Oncology & Metabolism, Mellanby Centre for Bone Research, Centre for Integrated research in Musculoskeletal Ageing, University of Sheffield, Sheffield, UK.
Hamidreza Saligheh RadQuantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-9065-2149
Alejandro F FrangiCISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, School of Computing and School of Medicine, University of Leeds, Leeds, UK.
University of Leeds · GBTehran University of Medical Sciences · IRUniversity of Pennsylvania · USUniversity of Sheffield · GB

Funding

Medical Research Council MR/P020941/1
6 · The paper itself

Abstract

Diffusion MRI (dMRI) is a growing imaging technique with the potential to provide biomarkers of tissue variation, such as cellular density, tissue anisotropy, and microvascular perfusion. However, the role of dMRI in characterizing different aspects of bone quality, especially in aging and osteoporosis, has not yet been fully established, particularly in clinical applications. The reason lies in the complications accompanied with implementation of dMRI in assessment of human bone structure, in terms of acquisition and quantification. Bone is a composite tissue comprising different elements, each contributing to the overall quality and functional competence of bone. As diffusion is a critical biophysical process in biological tissues, early changes of tissue microstructure and function can affect diffusive properties of the tissue. While there are multiple MRI methods to detect variations of individual properties of bone quality due to aging and osteoporosis, dMRI has potential to serve as a superior method for characterizing different aspects of bone quality within the same framework but with higher sensitivity to early alterations. This is mainly because several properties of the tissue including directionality and anisotropy of trabecular bone and cell density can be collected using only dMRI. In this review article, we first describe components of human bone that can be potentially detected by their diffusivity properties and contribute to variations in bone quality during aging and osteoporosis. Then we discuss considerations and challenges of dMRI in bone imaging, current status, and suggestions for development of dMRI in research studies and clinics to segregate different contributing components of bone quality in an integrated acquisition. Level of Evidence: 5 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:975-992.

Indexed as

Healthy AgingOsteoporosisAnisotropyDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance Imagingagingbone marrowbone qualitydiffusion MRIosteoporosistrabecular bone

Identifiers

PMID31709670
PMCPMC7078977
OpenAlexW2989352999

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.