Evidence map›Paper›PMID 29179748›Full record

Trial reportBMC musculoskeletal disorders2017

Quantifying bone marrow inflammatory edema in the spine and sacroiliac joints with thresholding.

Ioanna Chronaiou, Ruth S Thomsen, Else M Huuse, Leslie R Euceda, Susanne J Pedersen, Mari Hoff, Beathe Sitter

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMC musculoskeletal disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02995460 (Interval Training Study in Psoriatic Arthritis), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 34% 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.

NCT02995460 nacompletednot on this map

Interval Training Study in Psoriatic Arthritis

TypeinterventionalSponsorNorwegian University of Science and TechnologyRan2013 to 2015Enrolled67ConditionsPsoriatic ArthritisArmsinterval training
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

7 authors at 3 institutions in 2 countries.

Ioanna ChronaiouDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, Norway, Trondheim, Norway. ioanna.chronaiou@ntnu.no.
Ruth S ThomsenDepartment of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Else M HuuseDepartment of Radiology and Nuclear Medicine, St Olav's Hospital, University Hospital in Trondheim, Trondheim, Norway.
Leslie R EucedaDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, Norway, Trondheim, Norway.
Susanne J PedersenCopenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Rigshospitalet - Glostrup, Copenhagen, Denmark.
Mari HoffDepartment of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Beathe SitterDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU - Norwegian University of Science and Technology, 7491 Trondheim, Norway, Trondheim, Norway.
Norwegian University of Science and Technology · NOGlostrup Hospital · DKSt Olav's University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsoriatic Arthritis (PsA) is a chronic inflammatory arthritis that develops in patients with psoriasis. Inflammatory edema in the spine may reflect subclinical disease activity and be a predictor of radiographic progression. A semi-quantitative method established by the spondyloarthritis research consortium of Canada (SPARCC) is commonly used to assess the disease activity in MR images of the spine. This study aims to evaluate thresholding for quantification of subtle bone marrow inflammation in the spine and the sacroiliac (SI) joints of patients with PsA and compare it with the SPARCC scoring system.

methodsShort tau inversion recovery (STIR) MR images of the spine (N = 85) and the SI joints (N = 95) of patients with PsA (N = 41) were analyzed. A threshold was applied to visible bone marrow in order to mask areas with higher signal intensity, which are consistent with inflammation. These areas were considered as inflammatory lesions. The volume and relative signal intensity of the lesions were calculated. Results from thresholding were compared to SPARCC scores using linear mixed-effects models. The specificity and sensitivity of thresholding were also calculated.

resultsA significant positive correlation between the volumes and mean relative signal intensities, which were calculated by thresholding analysis, and the SPARCC scores was detected for both spine (p < 0.001) and SI joints (p < 0.001). For the spine, thresholding had sensitivity and specificity of 83% and 76% respectively, while for the SI joints the values were 51% and 88% respectively.

conclusionsThresholding allows quantification of subtle bone marrow inflammatory edema in patients with psoriatic arthritis, and could support SPARCC scoring of the spine. Improved image processing and inclusion of automatic segmentation are required for thresholding of STIR images to become a rapid and reliable method for quantitative measures of inflammation.

trial registrationNCT02995460 (December 14, 2016) - Retrospectively registered.

Indexed as

Severity of Illness IndexAdultAgedArthritis, PsoriaticBone MarrowEdemaFemaleHumansInflammationMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesSacroiliac JointSpineBone marrow inflammatory edemaImage processingMRIPsoriatic arthritisSPARCC

Identifiers

PMID29179748
PMCPMC5704357
OpenAlexW2768755701

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.