Evidence map›Paper›PMID 36602575›Full record

ArticleSkeletal radiology2023

Erdheim-Chester disease: diffusion-weighted imaging and dynamic contrast-enhanced MRI provide useful information.

Thomas Van Den Berghe, Esther Candries, Nicolas Everaert, Michael Saerens, Jo Van Dorpe, Koenraad Verstraete

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in Skeletal radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
  2. 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

6 authors at 1 institution in 1 country.

Thomas Van Den BergheDepartment of Radiology, Ghent University Hospital and Ghent University, Ghent, Belgium. thovdnbe.VanDenBerghe@ugent.be.ORCID http://orcid.org/0000-0002-0038-8055
Esther CandriesDepartment of Radiology, Ghent University Hospital and Ghent University, Ghent, Belgium.
Nicolas EveraertDepartment of Radiology, Ghent University Hospital and Ghent University, Ghent, Belgium.
Michael SaerensDepartment of Oncology, Ghent University Hospital and Ghent University, Ghent, Belgium.
Jo Van DorpeDepartment of Pathology, Ghent University Hospital and Ghent University, Ghent, Belgium.
Koenraad VerstraeteDepartment of Radiology, Ghent University Hospital and Ghent University, Ghent, Belgium.
Ghent University Hospital · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This is, to our knowledge, the first case report with in-depth analysis of bone marrow and bone lesions with diffusion-weighted imaging and dynamic contrast-enhanced MRI in Erdheim-Chester disease to date. We present a case of a 70-year-old woman who was referred for an X-ray of the pelvis, right femur and right knee after complaints of migratory arthralgia in hip and knee five months after an initial hip and knee trauma. Bone lesions on X-ray were identified. This case report highlights the strength and complementary use of modern multimodality multiparametric imaging techniques in the clinical radiological manifestations of Erdheim-Chester disease, in the differential diagnosis and in treatment response assessment, which is classically performed using

Indexed as

Erdheim-Chester DiseaseAgedFemaleFluorodeoxyglucose F18HumansMagnetic Resonance ImagingPositron Emission Tomography Computed TomographyTomography, X-Ray ComputedFluorodeoxyglucose F1818FDG PET-CTCTDiffusion-weighted imagingDynamic contrast-enhanced MRIErdheim-Chester diseaseImagingRadiologySPECTTreatment responseX-ray

Identifiers

PMID36602575
OpenAlexW4313545077

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.