Evidence map›Paper›PMID 27472684›Full record

ArticleMedicine2016

Positron emission tomography and computed tomography angiography for the diagnosis of giant cell arteritis: A real-life prospective study.

Delphine Lariviere, Khadija Benali, Baptiste Coustet, Nicoletta Pasi, Fabien Hyafil, Isabelle Klein, Maria Chauchard, Jean-François Alexandra, Tiphaine Goulenok, Antoine Dossier and 3 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 6 pooled it
10.2field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 6 syntheses or guidelines pooled it, 120 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Guideline
  4. Guideline
  5. ACR Appropriateness Criteria® Noncerebral Vasculitis.Journal of the American College of Radiology : JACR · 2021
    Guideline
  6. Pooled it
  7. Trial
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Imaging in Large Vessel Vasculitis-A Narrative Review.Journal of clinical medicine · 2024
    Review
  15. Article
  16. 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
  17. Multi-Modality Imaging in Vasculitis.Diagnostics (Basel, Switzerland) · 2024
    Review
  18. Review
  19. Article
  20. 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

13 authors at 5 institutions in 2 countries.

Delphine LariviereDépartement de Médecine Interne Département de Médecine Nucléaire Département de Rhumatologie Département de Radiologie, Hôpital Bichat, Université Paris Diderot, PRES Sorbonne Paris Cité Département de Médecine Interne, Hôpital Saint Antoine, Université Pierre et Marie Curie, Assistance Publique Hôpitaux de Paris INSERM U1149 Département Hospitalo-Universitaire FIRE (Fibrosis, Inflammation and Remodelling in Renal and Respiratory Diseases), Université Paris Diderot, PRES Sorbonne Paris Cité, Paris, France.
Khadija Benali
Baptiste Coustet
Nicoletta Pasi
Fabien Hyafil
Isabelle Klein
Maria Chauchard
Jean-François Alexandra
Tiphaine Goulenok
Antoine Dossier
Philippe Dieude
Thomas Papo
Karim Sacre
Centre universitaire de médecine générale et santé publique, Lausanne · CHDélégation Paris 7 · FRUniversité Paris Cité · FRHôpital Saint-Antoine · FRSociété Française de Rhumatologie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of 18F-fluoro-deoxyglucose positron emission tomography scan (FDG-PET) and computed tomography angiography (CTA) to improve accuracy of diagnosis of giant cell arteritis (GCA) is a very important clinical need. We aimed to compare the diagnostic performance of FDG-PET and CTA in patients with GCA.FDG-PET and CTA were acquired in all consecutive patients suspected for GCA. Results of FDG-PET and CTA were compared with the final diagnosis based on clinical judgment, temporal artery biopsy (TAB) findings, and ACR criteria. Sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were calculated for each method.Twenty-four patients suspected for GCA were included. Fifteen (62.5%) were ultimately diagnosed as having GCA. Among them, all fulfilled ACR criteria and 6 had biopsy-proven GCA. Strong FDG uptake in large vessels was found in 10 patients who all had GCA. Mean maximal standard uptake values (SUVmax) per patient measured at all the arterial territories were of 3.7 (range: 2.8-4.7). FDG uptake was negative in 14 patients including 9 and 5 patients without and with GCA, respectively. Mural thickening suggestive of aortitis or branch vessel arteritis was observed on CTA in 11 patients with and 2 patients without GCA. No mural thickening was observed in 11 patients including 7 patients without and 4 patients with GCA. Overall, sensitivity was 66.7% and 73.3%, specificity was 100% and 84.6%, NPV was 64.3% and 64.6%, and PPV was 100% and 84.6% of FDG-PET and CTA, respectively.Both FDG-PET and CTA have a strong diagnostic yield for the diagnosis of GCA. FDG-PET appeared to have a higher PPV as compared to CTA and may be the preferred noninvasive technique to explore patients with suspected GCA.

Indexed as

Computed Tomography AngiographyPositron-Emission TomographyAgedAged, 80 and overC-Reactive ProteinFemaleFluorodeoxyglucose F18Giant Cell ArteritisHumansMaleMiddle AgedMultimodal ImagingPredictive Value of TestsProspective StudiesRadiopharmaceuticalsSensitivity and SpecificityC-Reactive ProteinFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID27472684
PMCPMC5265821
OpenAlexW2516512188

What OpenQuestion holds

Textmetadata
LicenceCC BY-SA
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.