Evidence map›Paper›PMID 38317327›Full record

ArticleArthritis care & research2024

Frequently Encountered Artifacts in the Application of Dual-Energy Computed Tomography to Cardiovascular Imaging for Urate Crystals in Gout: A Matched-Control Study.

Chio Yokose, Sterling Ellis Eide, Florian A Huber, F Joseph Simeone, Brian B Ghoshhajra, Kamran Shojania, Savvas Nicolaou, Fabio Becce, Hyon K Choi

Open access · bronzeAbstract read
In one paragraph

Article in Arthritis care & research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

9 authors at 5 institutions in 4 countries.

Chio YokoseMassachusetts General Hospital, Boston.ORCID 0000-0001-7557-3303
Sterling Ellis EideNational University Hospital of Singapore, Singapore.
Florian A HuberMassachusetts General Hospital and Harvard Medical School, Boston, and University Hospital Zurich and University of Zurich, Zurich, Switzerland.
F Joseph SimeoneMassachusetts General Hospital and Harvard Medical School, Boston.
Brian B GhoshhajraMassachusetts General Hospital, Boston.
Kamran ShojaniaVancouver General Hospital and Arthritis Research Canada, Vancouver, British Columbia, Canada.
Savvas NicolaouVancouver General Hospital, Vancouver, British Columbia, Canada.
Fabio BecceLausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0001-8444-8504
Hyon K ChoiMassachusetts General Hospital, Boston.ORCID 0000-0002-2862-0442
Massachusetts General Hospital · USHarvard University · USVancouver General Hospital · CANational University Hospital · SGUniversity of Lausanne · CH

Funding

The Effects of Urate Lowering Therapy on Inflammation, Endothelial function, andP50AR060772 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2012 to 2021
$12.8M
Research Training in Rheumatology at Massachusetts General HospitalT32AR007258 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI ANDREW D LUSTER · 1986 to 2026
$6.9M
NOVEL METABOLITE AND MICROBIOTA PATHWAYS FOR HYPERURICEMIA AND GOUTR01AR065944 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI CHOI, HYON K · 2013 to 2025
$4.2M
Personalized Comorbidity-Integrated Gout CareK23AR081425 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI Chio Yokose · 2023 to 2026
$704k
NIAMS NIH HHS K23 AR081425NIAMS NIH HHS P50 AR060772NIAMS NIH HHS R01 AR065944NIAMS NIH HHS T32 AR007258NIH HHS K23-AR-081425NIH HHS P50-AR-060772NIH HHS R01-AR-065944NIH HHS T32-AR-007258Rheumatology Research Foundation Scientist Development
6 · The paper itself

Abstract

objectiveThere is surging interest in using dual-energy computed tomography (DECT) to identify cardiovascular monosodium urate (MSU) deposits in patients with gout. We sought to examine the prevalence and characterization of cardiovascular DECT artifacts using non-electrocardiogram (EKG)-gated DECT pulmonary angiograms.

methodsWe retrospectively reviewed non-EKG-gated DECT pulmonary angiograms performed on patients with and without gout at a single academic center. We noted the presence and locations of vascular green colorization using the default postprocessing two-material decomposition algorithm for MSU. The high- and low-energy grayscale images and advanced DECT measurements were used to determine whether they were true findings or artifacts. We classified artifacts into five categories: streak, contrast medium mixing, misregistration due to motion, foreign body, and noise.

resultsOur study included CT scans from 48 patients with gout and 48 age- and sex-matched controls. The majority of patients were male with a mean age of 67 years. Two independent observers attributed all areas of vascular green colorization to artifacts. The most common types of artifacts were streak (56% vs 57% between patients and controls, respectively) and contrast medium mixing (51% vs 65%, respectively). Whereas some of the default DECT measurements of cardiovascular green colorization were consistent with values reported for subcutaneous tophi, advanced DECT measurements were not consistent with that of tophi.

conclusionArtifacts that could be misconstrued as cardiovascular MSU deposits were commonly identified in patients with and without gout on non-EKG-gated DECT pulmonary angiograms. These artifacts can inform future vascular DECT studies on patients with gout to minimize false-positive findings.

Indexed as

ArtifactsGoutUric AcidAgedAged, 80 and overCase-Control StudiesComputed Tomography AngiographyFemaleHumansMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedUric Acid

Identifiers

PMID38317327
PMCPMC11209827
OpenAlexW4391613492

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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.