Evidence map›Paper›PMID 41575620›Full record

ArticleClinical rheumatology2026

The real-world experience of combined cranial and large vessel

Keren Port, Ivan Ho Shon, Sally Ayesa, Rachel Langford, Olivia Bennett, Andrew Csillag, Stacey Fredericks, Luz Palacios-Derflingher, Eva A Wegner, Anthony Sammel

Abstract read
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Article in Clinical rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Keren PortDepartment of Rheumatology, Prince of Wales Hospital, Sydney, Australia. keren.port@health.nsw.gov.au.ORCID http://orcid.org/0009-0000-1484-5256
Ivan Ho ShonDepartment of Nuclear Medicine and PET, Prince of Wales Hospital, Sydney, Australia.ORCID http://orcid.org/0000-0002-2036-8190
Sally AyesaDepartment of Nuclear Medicine and PET, Prince of Wales Hospital, Sydney, Australia.ORCID http://orcid.org/0000-0002-5347-1864
Rachel LangfordDepartment of Rheumatology, Prince of Wales Hospital, Sydney, Australia.
Olivia BennettDepartment of Nuclear Medicine and PET, Prince of Wales Hospital, Sydney, Australia.
Andrew CsillagDepartment of Nuclear Medicine and PET, Prince of Wales Hospital, Sydney, Australia.
Stacey FredericksDepartment of Rheumatology, Prince of Wales Hospital, Sydney, Australia.
Luz Palacios-DerflingherStats Central, Mark Wainwright Analytical Centre, The University of New South Wales, Sydney, Australia.
Eva A WegnerDepartment of Nuclear Medicine and PET, Prince of Wales Hospital, Sydney, Australia.ORCID http://orcid.org/0000-0002-4434-7183
Anthony SammelDepartment of Rheumatology, Prince of Wales Hospital, Sydney, Australia.ORCID http://orcid.org/0000-0003-3641-796X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFDG-PET/CT offers high diagnostic accuracy in research settings for GCA, a systemic medium-large vessel vasculitis (M-LVV). We aimed to analyse its diagnostic performance in a real-world clinical setting.

methodsWe audited all patients investigated with FDG-PET/CT for suspected new onset GCA between July 2019 and March 2022, at a single tertiary institution in Australia. Data was collected from patient and physician questionnaires, and scan reports describing FDG activity in cranial, supra-aortic, aortic and infra-aortic vascular territories, and the overall interpretation of the scan. The gold standard comparator in analysis was the unblinded treating physician's clinical diagnosis at a minimum of 6 months after the scan.

resultsOne hundred thirty-five patients had an FDG-PET/CT as part of routine care in the investigation of suspected GCA. Forty-four (32.6%) patients had a clinical diagnosis of M-LVV. Thirty-five (26%) scans were reported as positive, 27 (20%) equivocal and 73 (54%) negative for active M-LVV. Diagnostic performance of FDG-PET/CT was dependent on the treatment of equivocal scans in binary analysis, with sensitivity ranging from 77.3 to 90.9% and specificity ranging from 75.8 to 98.9%. In cases with a clinical diagnosis of M-LVV, the supra-aortic territory was metabolically active in 31 (70.5%) and three had metabolic activity isolated to either the cranial or aortic regions.

conclusionsCombined cranial and large vessel FDG-PET/CT shows good diagnostic performance for GCA in a real-world setting. The supra-aortic territory was most commonly active in patients with M-LVV, yet assessment of all territories was required to maximise scan performance. Key Points • FDG-PET/CT has good diagnostic performance for GCA in the real-world setting. • Assessment of both cranial and large vessels is necessary to maximise FDG-PET/CT performance. • Equivocal FDG-PET/CT scans (20% of cases) can be further evaluated with ultrasound and/or biopsy.

Indexed as

Fluorodeoxyglucose F18Giant Cell ArteritisPositron Emission Tomography Computed TomographyAgedAged, 80 and overFemaleHumansMaleMiddle AgedRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticals18F-Fluorodeoxyglucose (FDG)Giant cell arteritisLarge vessel vasculitisMedium vessel vasculitisPositron emission tomography computed tomography

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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.