Evidence map›Paper›PMID 31197558›Full record

ArticleJournal of digital imaging2019

Assessment of Orbital Computed Tomography (CT) Imaging Biomarkers in Patients with Thyroid Eye Disease.

Shikha Chaganti, Kevin Mundy, Michael P DeLisi, Katrina M Nelson, Robert L Harrigan, Robert L Galloway, Bennett A Landman, Louise A Mawn

Abstract read
In one paragraph

Article in Journal of digital imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
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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

8 authors.

Shikha ChagantiDepartment of Computer Science, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN, 37235, USA. shikha.chaganti@vanderbilt.edu.ORCID 0000-0002-7029-2665
Kevin MundyVanderbilt Eye Institute, Vanderbilt University School of Medicine, 2311 Pierce Avenue, Nashville, TN, 37232, USA.
Michael P DeLisiDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37235, USA.
Katrina M NelsonDepartment of Electrical Engineering, Vanderbilt University, Nashville, TN, 37235, USA.
Robert L HarriganDepartment of Electrical Engineering, Vanderbilt University, Nashville, TN, 37235, USA.
Robert L GallowayDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37235, USA.
Bennett A LandmanDepartment of Computer Science, Vanderbilt University, 2301 Vanderbilt Place, Nashville, TN, 37235, USA.
Louise A MawnVanderbilt Eye Institute, Vanderbilt University School of Medicine, 2311 Pierce Avenue, Nashville, TN, 37232, USA.

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Training Program for Innovative Engineering Research in Surgery and InterventionT32EB021937 · NIBIB · VANDERBILT UNIVERSITY · PI Dario J Englot, Michael Ian Miga · 2016 to 2026
$2.3M
National Center for Research Resources (US) UL1 RR024975-01NCATS NIH HHS UL1 TR000445-06NIBIB NIH HHS T32 EB021937NIH HHS 1R03EB012461NIH HHS 5R21EY024036NIH HHS T32-EB02193
6 · The paper itself

Abstract

To understand potential orbital biomarkers generated from computed tomography (CT) imaging in patients with thyroid eye disease. This is a retrospective cohort study. From a database of an ongoing thyroid eye disease research study at our institution, we identified 85 subjects who had both clinical examination and laboratory records supporting the diagnosis of thyroid eye disease and concurrent imaging prior to any medical or surgical intervention. Patients were excluded if imaging quality or type was not amenable to segmentation. The images of 170 orbits were analyzed with the developed automated segmentation tool. The main outcome measure was to cross 25 CT structural metrics for each eye with nine clinical markers using a Kendall rank correlation test to identify significant relationships. The Kendall rank correlation test between automatically calculated CT metrics and clinical data demonstrated numerous correlations. Extraocular rectus muscle metrics, such as the average diameter of the superior, medial, and lateral rectus muscles, showed a strong correlation (p < 0.05) with loss of visual acuity and presence of ocular motility defects. Hertel measurements demonstrated a strong correlation (p < 0.05) with volumetric measurements of the optic nerve and other orbital metrics such as the crowding index and proptosis. Optic neuropathy was strongly correlated (p < 0.05) with an increase in the maximum diameter of the superior muscle. This novel method of automated imaging metrics may provide objective, rapid clinical information. This data may be useful for appreciation of severity of thyroid eye disease and recognition of risk factors of visual impairment from dysthyroid optic neuropathy from CT imaging.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkersCohort StudiesEye DiseasesFemaleHumansMaleMiddle AgedOrbitRetrospective StudiesThyroid DiseasesTomography, X-Ray ComputedYoung AdultBiomarkersCTMulti-atlasOptic nerveThyroid eye disease

Identifiers

PMID31197558
PMCPMC6841832

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Registered trials

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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.