Evidence map›Paper›PMID 35965266›Full record

ArticleEuropean journal of hybrid imaging2022

Combined modality PET/MR for the detection of severe large vessel vasculitis.

John W Cerne, Sophia Liu, Muhammad Umair, Ashitha Pathrose, Jackson E Moore, Bradley D Allen, Michael Markl, James C Carr, Hatice Savas, Lisa Wilsbacher and 1 more

Abstract read
In one paragraph

Article in European journal of hybrid imaging, 2022. 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
  2. Article
  3. Multimodality imaging to assess diagnosis and evaluate complications of large vesselarteritis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2024
    Review
  4. Review
  5. Article
  6. 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

11 authors.

John W CerneDepartment of Radiology, Northwestern University Feinberg School of Medicine, 420 East Superior St, Chicago, IL, 60611, USA.
Sophia LiuDepartment of Radiology, Northwestern University Feinberg School of Medicine, 420 East Superior St, Chicago, IL, 60611, USA. sophia.liu1@northwestern.edu.ORCID http://orcid.org/0000-0003-3230-8774
Muhammad UmairDepartment of Radiology, Northwestern University Feinberg School of Medicine, 420 East Superior St, Chicago, IL, 60611, USA.
Ashitha PathroseDepartment of Radiology, Northwestern University Feinberg School of Medicine, 420 East Superior St, Chicago, IL, 60611, USA.
Jackson E MooreDepartment of Radiology, Northwestern University Feinberg School of Medicine, 420 East Superior St, Chicago, IL, 60611, USA.
Bradley D AllenDepartment of Radiology, Northwestern University Feinberg School of Medicine, 420 East Superior St, Chicago, IL, 60611, USA.
Michael MarklDepartment of Radiology, Northwestern University Feinberg School of Medicine, 420 East Superior St, Chicago, IL, 60611, USA.
James C CarrDepartment of Radiology, Northwestern University Feinberg School of Medicine, 420 East Superior St, Chicago, IL, 60611, USA.
Hatice SavasDepartment of Radiology, Northwestern University Feinberg School of Medicine, 420 East Superior St, Chicago, IL, 60611, USA.
Lisa WilsbacherDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, USA.
Ryan AveryDepartment of Radiology, Northwestern University Feinberg School of Medicine, 420 East Superior St, Chicago, IL, 60611, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarge vessel vasculitis (LVV) can be characterized based on symptom severity, and this characterization helps clinicians decide upon treatment approach. Our aim was to compare the imaging findings of combined modality positron emission tomography/magnetic resonance (PET/MR) and inflammatory markers between severe and non-severe LVV. A retrospective query was performed to identify all patients with LVV who underwent PET/MR at our institution between January 2015 and January 2021.

resultsEleven patients (nine females; age 62.2 ± 16.4 years) underwent 15 PET/MR scans. Positivity was defined by findings indicative of active LVV on each modality: PET positive if vessel metabolic activity > liver metabolic activity; MR positive if wall thickening or contrast enhancement. When positive PET or positive MR findings were considered a positive scan, LVV patients with severe disease (n = 9 scans) showed a higher number of positive scans (n = 9) compared to the number of positive scans in non-severe patients (n = 3) (p < 0.05). The sensitivity and specificity for the detection of severe LVV were 1.00 and 0.50, respectively. When only the presence of both positive PET and positive MR findings were considered a positive scan, inflammatory marker levels were not significantly different between severe and non-severe LVV groups (severe: erythrocyte sedimentation rate (ESR) = 9.8 ± 10.6 mm/h; C-reactive protein (CRP) = 0.6 ± 0.4 mg/dL) (non-severe: ESR = 14.3 ± 22.4 mm/h; CRP = 0.5 ± 0.6 mg/dL). Blood- and liver-normalized maximum standardized uptake values were not significantly different between severe and non-severe patients (1.4 ± 0.3 vs 1.5 ± 0.4; 1.1 ± 0.4 vs 1.0 ± 0.3, respectively).

conclusionsBecause of the differences observed, PET/MR appears to be better suited to facilitate the characterization of LVV as severe or non-severe compared to inflammatory marker measurements and quantitative measurements of metabolic activity. Qualitative assessment of PET and MR positivity by

Indexed as

Giant cell arteritisInflammationMRIPETTakayasu arteritisVasculitis

Identifiers

PMID35965266
PMCPMC9376186

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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.