Evidence map›Paper›PMID 33318556›Full record

Trial reportScientific reports2020

Radiologic imaging shows variable accuracy in diagnosing orbital inflammatory disease and assessing its activity.

Min Joung Lee, Bronwyn E Hamilton, David Pettersson, Kimberly Ogle, Jennifer Murdock, Roger A Dailey, John D Ng, Eric A Steele, Rohan Verma, Stephen R Planck and 3 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. [Idiopathic orbital inflammation].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2021
    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

13 authors at 2 institutions in 2 countries.

Min Joung LeeCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA. minjounglee77@gmail.com.
Bronwyn E HamiltonDepartment of Radiology, Oregon Health and Science University, Portland, OR, USA.
David PetterssonDepartment of Radiology, Oregon Health and Science University, Portland, OR, USA.
Kimberly OgleCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
Jennifer MurdockCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
Roger A DaileyCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
John D NgCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
Eric A SteeleCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
Rohan VermaCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
Stephen R PlanckCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
Tammy M MartinCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
Dongseok ChoiCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
James T RosenbaumCasey Eye Institute, Oregon Health and Science University, Portland, OR, USA.
Oregon Health & Science University · USPortland State University · US

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Kate E Keller · 1995 to 2026
$19.4M
Gene Expression in Nonspecific Orbital Inflammatory DiseaseR01EY020249 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI ROSENBAUM, JAMES T · 2011 to 2020
$5.0M
NEI NIH HHS EY020249, EY010572NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY020249
6 · The paper itself

Abstract

Radiologic orbital imaging provides important information in the diagnosis and management of orbital inflammation. However, the diagnostic value of orbital imaging is not well elucidated. This study aimed to investigate the diagnostic accuracy of orbital imaging to diagnose orbital inflammatory diseases and its ability to detect active inflammation. We collected 75 scans of 52 patients (49 computed tomography (CT) scans; 26 magnetic resonance (MR) imaging scans). Clinical diagnoses included thyroid eye disease (TED) (41 scans, 31 patients), non-specific orbital inflammation (NSOI) (22 scans, 14 patients), sarcoidosis (4 scans, 3 patients), IgG4-related ophthalmic disease (IgG4-ROD) (5 scans, 3 patients), and granulomatosis with polyangiitis (GPA) (3 scans, 1 patient). Two experienced neuroradiologists interpreted the scans, offered a most likely diagnosis, and assessed the activity of inflammation, blinded to clinical findings. The accuracy rate of radiological diagnosis compared to each clinical diagnosis was evaluated. Sensitivity and specificity in detecting active inflammation were analyzed for TED and NSOI. The accuracy rate of radiologic diagnosis was 80.0% for IgG4-ROD, 77.3% for NSOI, and 73.2% for TED. Orbital imaging could not diagnose sarcoidosis. Orbital CT had a sensitivity of 50.0% and a specificity of 75.0% to predict active TED using clinical assessment as the gold standard. The sensitivity/specificity of orbital MR was 83.3/16.7% for the detection of active NSOI. In conclusion, orbital imaging is accurate for the diagnosis of IgG4, NSOI, and TED. Further studies with a large number of cases are needed to confirm this finding, especially with regard to uncommon diseases. Orbital CT showed moderate sensitivity and good specificity for identifying active TED.

Indexed as

Magnetic Resonance ImagingTomography, X-Ray ComputedAdultAgedFemaleGraves OphthalmopathyHumansImmunoglobulin G4-Related DiseaseInflammationMaleMiddle AgedOrbitSarcoidosis

Identifiers

PMID33318556
PMCPMC7736889
OpenAlexW3110955632

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.