Evidence map›Paper›PMID 36607267›Full record

ReviewThe British journal of radiology2023

Quantitative magnetic resonance imaging (qMRI) in axial spondyloarthritis.

Natasha Thorley, Alexis Jones, Coziana Ciurtin, Madhura Castelino, Alan Bainbridge, Maaz Abbasi, Stuart Taylor, Hui Zhang, Margaret A Hall-Craggs, Timothy J P Bray

Open access · hybridAbstract readReview
In one paragraph

Review in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Axial Imaging in Spondyloarthritis.Rheumatic diseases clinics of North America · 2024
    Review
  3. Article
  4. Review
  5. Review
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

10 authors at 3 institutions in 1 country.

Natasha ThorleyImaging Department, University College London Hospitals NHS Foundation Trust, London, United Kingdom.ORCID 0000-0001-8928-895X
Alexis JonesDepartment of Rheumatology, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
Coziana CiurtinDepartment of Rheumatology, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
Madhura CastelinoDepartment of Rheumatology, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
Alan BainbridgeDepartment of Medical Physics, University College London Hospitals, London, United Kingdom.
Maaz AbbasiImaging Department, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
Stuart TaylorCentre for Medical Imaging (CMI), University College London, London, United Kingdom.
Hui ZhangDepartment of Computer Science and Centre for Medical Image Computing, University College London, London, United Kingdom.
Margaret A Hall-CraggsCentre for Medical Imaging (CMI), University College London, London, United Kingdom.
Timothy J P BrayCentre for Medical Imaging (CMI), University College London, London, United Kingdom.
University College London Hospitals NHS Foundation Trust · GBUniversity College London · GBRoyal London Hospital · GB

Funding

EPA EP-D-18-001
6 · The paper itself

Abstract

Imaging, and particularly MRI, plays a crucial role in the assessment of inflammation in rheumatic disease, and forms a core component of the diagnostic pathway in axial spondyloarthritis. However, conventional imaging techniques are limited by image contrast being non-specific to inflammation and a reliance on subjective, qualitative reader interpretation. Quantitative MRI methods offer scope to address these limitations and improve our ability to accurately and precisely detect and characterise inflammation, potentially facilitating a more personalised approach to management. Here, we review quantitative MRI methods and emerging quantitative imaging biomarkers for imaging inflammation in axial spondyloarthritis. We discuss the potential benefits as well as the practical considerations that must be addressed in the movement toward clinical translation of quantitative imaging biomarkers.

Indexed as

Axial SpondyloarthritisMagnetic Resonance ImagingBiomarkersDiffusion Magnetic Resonance ImagingHumansInflammationReference StandardsBiomarkers

Identifiers

PMID36607267
PMCPMC10078871
OpenAlexW4313641325

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.