Evidence map›Paper›PMID 34616565›Full record

ArticleActa radiologica open2021

Diffusion-weighted MR imaging in chronic non-bacterial osteitis: Proof-of-concept of the apparent diffusion coefficient as an outcome measure.

Jakob M Møller, Caroline M Andreasen, Thomas W Buus, Susanne J Pedersen, Mikkel Østergaard, Henrik S Thomsen, Anne G Jurik

Open access · goldAbstract read
In one paragraph

Article in Acta radiologica open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 84% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 3 institutions in 1 country.

Jakob M MøllerDepartment of Radiology, Herlev-Gentofte Hospital, Herlev, Denmark.ORCID https://orcid.org/0000-0001-6576-6494
Caroline M AndreasenDepartment of Rheumatology, Aarhus University Hospital, Aarhus, Denmark.
Thomas W BuusDepartment of Radiology, Aarhus University Hospital, Aarhus, Denmark.
Susanne J PedersenCopenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Rigshospitalet, Glostrup, Denmark.
Mikkel ØstergaardDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Henrik S ThomsenDepartment of Radiology, Herlev-Gentofte Hospital, Herlev, Denmark.ORCID https://orcid.org/0000-0002-2409-9725
Anne G JurikDepartment of Radiology, Aarhus University Hospital, Aarhus, Denmark.
Aarhus University Hospital · DKUniversity of Copenhagen · DKGlostrup Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe apparent diffusion coefficient (ADC), as determined by whole-body diffusion-weighted MRI, may be useful as an outcome measure for monitoring response to treatment in chronic non-bacterial osteitis. PURPOSE: To test and demonstrate the feasibility of ADC-measurement methods for use as outcome measure in chronic non-bacterial osteitis. MATERIALS AND

methodsUsing data from a randomized pilot study, feasibility of change-score ADC between baseline and second MRI (ΔADC

results12 subjects were enrolled, and MRI was performed at baseline and weeks 12 and 36. Pearson correlation was high (

conclusionADC change-score as outcome measure was feasible, and the single-slice per lesion ROI setting performed almost equally to whole-lesion setting resulting in reduced assessment time.

Indexed as

apparent diffusion coefficientchronicdiffusion-weighted imagingMagnetic resonance imaging

Identifiers

PMID34616565
PMCPMC8489758
OpenAlexW3204311297

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.