Evidence map›Paper›PMID 32704403›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2020

Detection of pulmonary artery atherosclerosis by FDG-PET/CT: a new observation.

Abdullah Al-Zaghal, Mustafa Aras, Austin J Borja, Mateen Moghbel, Yusuf Demir, Sina Houshmand, Esra Ciftci, Thomas J Werner, Poul F Høilund-Carlsen, Drew A Torigian and 2 more

Abstract read
In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2020. 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
–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

3 citing papers in PubMed.

  1. PET-Based Imaging withDiagnostics (Basel, Switzerland) · 2021
    Review
  2. Deep learning convolutional neural network (DLCNN): unleashing the potential ofAmerican journal of nuclear medicine and molecular imaging · 2021
    Article
  3. 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

12 authors.

Abdullah Al-ZaghalDepartment of Radiology, University of Pennsylvania Philadelphia, Pennsylvania, USA.
Mustafa ArasDepartment of Nuclear Medicine, Etimed Hospital Ankara, Turkey.
Austin J BorjaDepartment of Radiology, University of Pennsylvania Philadelphia, Pennsylvania, USA.
Mateen MoghbelDepartment of Radiology, Massachusetts General Hospital Boston, MA, USA.
Yusuf DemirDepartment of Nuclear Medicine, School of Medicine, Yüzüncü Yıl University Van, Turkey.
Sina HoushmandDepartment of Radiology, University of Pittsburgh Medical Center Pittsburgh, PA, USA.
Esra CiftciDepartment of Nuclear Medicine Cumhuriyet Universitesi Sivas, Turkey.
Thomas J WernerDepartment of Radiology, University of Pennsylvania Philadelphia, Pennsylvania, USA.
Poul F Høilund-CarlsenDepartment of Nuclear Medicine, Odense University Hospital Odense, Denmark.
Drew A TorigianDepartment of Radiology, University of Pennsylvania Philadelphia, Pennsylvania, USA.
Yuchi HanCardiovascular Division, Department of Medicine, University of Pennsylvania Philadelphia, Pennsylvania, USA.
Abass AlaviDepartment of Radiology, University of Pennsylvania Philadelphia, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the feasibility of FDG-PET/CT imaging to detect pulmonary artery atherosclerosis and to assess the correlation between pulmonary function testing (PFT) results and the overall pulmonary artery metabolic activity. Twenty-nine subjects between the ages of 57-75, with a history of clinical suspicion of lung cancer, underwent PET/CT imaging at 3 hours following the administration of FDG. Global FDG uptake in the central pulmonary artery branches was determined. Average SUVmax, SUVmean, and tissue-to-background (TBR) mean and maximum were calculated within each vessel. The degree of FDG uptake in non-COPD and COPD patients and its correlation with PFT were examined in this population. Furthermore, the results from patients were compared with those of 10 age-matched controls. Based on these data, the number of lesions with varying degrees of FDG uptake among patients was higher than that in the normal control group. However, there was no statistically significant difference in average SUVmax, average SUVmean, average TBRmax, or average TBRmean between non-COPD and COPD patients. This indicates that the atherosclerotic process is focal and is not diffuse in nature. Although the global quantitative data generated did not reveal evidence for diffuse artery inflammation in patients with COPD, qualitative examination showed clear-cut evidence for focally increased FDG uptake in the pulmonary arteries. This observation indicates the presence of atherosclerotic plaques which are prevalent in patients with COPD. Future prospective studies with larger numbers of subjects are needed to confirm this important observation.

Indexed as

atherosclerosisFDG-PETinflammationPulmonary artery

Identifiers

PMID32704403
PMCPMC7364383

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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.