Evidence map›Paper›PMID 35258570›Full record

ArticleRheumatology (Oxford, England)2022

The role of PET/CT in disease activity assessment in patients with large vessel vasculitis.

Elena Galli, Francesco Muratore, Pamela Mancuso, Luigi Boiardi, Chiara Marvisi, Giulia Besutti, Lucia Spaggiari, Massimiliano Casali, Annibale Versari, Paolo Giorgi Rossi and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Management of Takayasu Arteritis - A 2026 Update.Current rheumatology reports · 2026
    Review
  4. [Frontiers in immunology · 2026
    Article
  5. Review
  6. Review
  7. Review
  8. Association of PET vascular activity score with Takayasu's arteritis angiographic progression.European journal of nuclear medicine and molecular imaging · 2025
    Observational
  9. Article
  10. Review
  11. Emerging PET radiotracers for vascular imaging.Rheumatology (Oxford, England) · 2025
    Review
  12. Article
  13. Review
  14. Review
  15. Observational
  16. Review
  17. Role and potential ofFrontiers in medicine · 2024
    Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 3 countries.

Elena GalliRheumatology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia.
Francesco MuratoreRheumatology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia.
Pamela MancusoEpidemiology Unit.
Luigi BoiardiRheumatology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia.
Chiara MarvisiRheumatology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia.
Giulia BesuttiRadiology Unit.
Lucia SpaggiariRadiology Unit.
Massimiliano CasaliNuclear Medicine Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Annibale VersariNuclear Medicine Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy.ORCID 0000-0002-8675-2435
Paolo Giorgi RossiEpidemiology Unit.ORCID 0000-0001-9703-2460
Carlo SalvaraniRheumatology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia.
Azienda Sanitaria Unità Locale di Reggio Emilia · ITUniversity of Modena and Reggio Emilia · ITMRC Epidemiology Unit · GBUniversity Radiology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the accuracy of PET/CT and of PET vascular activity score (PETVAS) in assessing disease activity and the ability of PETVAS in predicting relapses in a large single-centre cohort of patients with large vessel vasculitis (LVV).

methodsWe conducted a retrospective cohort study of prospectively collected data of consecutive patients diagnosed with LVV who underwent at least one PET/CT scan between 2007 and 2020. The nuclear medicine physician's interpretation of each PET/CT scan (active/inactive vasculitis) was compared with disease activity clinical judgement (active disease/remission). For each PET/CT scan, the PETVAS score was calculated and its accuracy in assessing disease activity was evaluated. The ability of PETVAS in predicting subsequent relapses was evaluated.

resultsA total of 100 consecutive LVV patients (51 large vessel GCA, 49 Takayasu arteritis) underwent a total of 476 PET/CT scans over a mean follow-up period of 97.5 months. Physician-determined PET/CT grading was able to distinguish between clinically active and inactive LVV with a sensitivity of 60% (95% CI 50.9, 68.7) and specificity of 80.1% (95% CI 75.5, 84.1); the area under the curve (AUC )was 0.70 (95% CI 0.65, 0.75). PETVAS was associated with disease activity, with an age and sex-adjusted odds ratio for active disease of 1.15 (95% CI 1.11, 1.19). A PETVAS ≥10 provided 60.8% sensitivity and 80.6% specificity in differentiating between clinically active and inactive LVV; the AUC was 0.73 (95% CI 0.68, 0.79). PETVAS was not associated with subsequent relapses, with an age and sex-adjusted hazard ratio of 1.04 (95% CI 0.97, 1.11).

conclusionsThe visual PET/CT grading scale and PETVAS had moderate accuracy to distinguish active LVV from remission. PETVAS did not predict disease relapses.

Indexed as

Giant Cell ArteritisTakayasu ArteritisFluorodeoxyglucose F18HumansPositron Emission Tomography Computed TomographyRecurrenceRetrospective StudiesFluorodeoxyglucose F18GCAlarge vessel vasculitisPET/CTPETVASTakayasu arteritis

Identifiers

PMID35258570
PMCPMC9707005
OpenAlexW4214865670

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.