Evidence map›Paper›PMID 37516606›Full record

ReviewBest practice & research. Clinical rheumatology2023

Advanced molecular imaging in large-vessel vasculitis: Adopting FDG-PET into a clinical workflow.

Mark A Ahlman, Peter C Grayson

Open access · greenAbstract readReview
In one paragraph

Review in Best practice & research. Clinical rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 12% 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, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Lactate and lactylation in cancer.Signal transduction and targeted therapy · 2025
    Review
  5. Review
  6. Innovations in Imaging:Current cardiology reports · 2024
    Review
  7. 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

2 authors at 2 institutions in 1 country.

Mark A AhlmanNuclear Medicine Department, Medical College of Georgia, Augusta, GA, USA.
Peter C GraysonNational Institutes of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, MD, USA. Electronic address: Peter.grayson@nih.gov.
Augusta University · USNational Institute of Arthritis and Musculoskeletal and Skin Diseases · US

Funding

Vasculitis and Translational MedicineZIAAR041204 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI GRAYSON, PETER · 2015 to 2025
$15.4M
Intramural NIH HHS ZIA AR041204
6 · The paper itself

Abstract

The use of fluorodeoxyglucose-positron emission tomography (FDG-PET) imaging to detect vascular inflammation is increasingly common in the clinical management of patients with large-vessel vasculitis (LVV). In this review, the role of FDG-PET imaging to diagnose and monitor vascular disease activity will be detailed. Suggestions on incorporation of FDG-PET imaging into a clinical workflow will be provided with emphasis on patient preparation, image acquisition, and image interpretation. If FDG-PET imaging is obtained, multimodal imaging assessment, whereby FDG-PET imaging and non-invasive angiography are obtained concurrently, and correlation of imaging findings with clinical assessment is generally advisable. Considering the clinical scenario and treatment status of the patient is important when interpreting vascular FDG-PET image findings.

Indexed as

Giant Cell ArteritisVasculitisFluorodeoxyglucose F18HumansMolecular ImagingPositron-Emission TomographyPositron Emission Tomography Computed TomographyWorkflowFluorodeoxyglucose F18FluorodeoxyglucoseGiant cell arteritisImagingLarge-vessel vasculitisPET-CTTakayasu's arteritis

Identifiers

PMID37516606
PMCPMC10818007
OpenAlexW4385326653

What OpenQuestion holds

Textmetadata
LicenceTDM
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.