Evidence map›Paper›PMID 42087827›Full record

ArticleACR open rheumatology2026

Quantification of Vascular Burden on Cranial Vessel Wall Magnetic Resonance Imaging and Ophthalmic Complications in Giant Cell Arteritis.

David L Yang, Quy Cao, Fang Liu, Tara McWilliams, Ryan Rebello, Madhura A Tamhankar, Shubhasree Banerjee, Rui Liang, Robert M Kurtz, Joshua F Baker and 6 more

Abstract read
In one paragraph

Article in ACR open rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

David L YangPerelman School of Medicine, University of Pennsylvania, Philadelphia.
Quy CaoDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia.
Fang LiuDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia.
Tara McWilliamsDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia.
Ryan RebelloDepartment of Diagnostic Imaging, St. Joseph's Hospital, McMaster University, Hamilton, Ontario, Canada.
Madhura A TamhankarDivision of Neuro-ophthalmology, Scheie Eye Institute, University of Pennsylvania.
Shubhasree BanerjeeDivision of Rheumatology, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0003-0903-1949
Rui LiangDivision of Rheumatology, University of Pennsylvania, Philadelphia.
Robert M KurtzDivision of Neuroradiology, University of Pennsylvania, Philadelphia.
Joshua F BakerDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia.
Naomi AmudalaDivision of Rheumatology, University of Pennsylvania, Philadelphia.
Zhaoyang FanDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles.
Jae W SongDivision of Neuroradiology, University of Pennsylvania, Philadelphia.
Peter A MerkelDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia.
Jeffrey MorrisDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia.
Rennie L RheeDivision of Rheumatology, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0002-4907-0304

Funding

Establishing orbital and cranial vessel wall MRI enhancement as an imaging biomarker in giant cell arteritisR01AR084199 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Rennie Rhee · 2025 to 2026
$543k
NIAMS NIH HHS R01 AR084199NIAMS NIH HHS R01-AR084199Rheumatology Research Foundation Career Development Bridge Funding Award
6 · The paper itself

Abstract

objectiveThere is a need for measures of disease severity for giant cell arteritis (GCA), which may enable identification of high-risk subgroups (eg, ophthalmic complications) and individualized approaches to therapy. We derived a continuous score using data from cranial vessel wall magnetic resonance imaging (VW-MRI) to quantify vascular burden in GCA and assessed the score's association with ophthalmic manifestations.

methodsPatients with suspected new or relapsing GCA underwent cranial VW-MRI plus dedicated orbital MRI. A radiologist assessed VW-MRI enhancement of seven cranial structures bilaterally. Using a generalized linear mixed-effects model, a continuous MRI-derived patient-level score (range 1-10) of disease extent was developed: the Cranial Artery MRI Score for GCA (CAMRIS-GCA). CAMRIS-GCA was compared between clinical diagnosis (ocular GCA, nonocular GCA, or non-GCA) and patients with versus without ocular inflammation on MRI (defined as ophthalmic artery or optic nerve sheath enhancement).

resultsSeventy-four patients (17 ocular GCA, 16 nonocular GCA, and 41 non-GCA) were included. CAMRIS-GCA increased linearly across clinically defined groups of non-GCA, nonocular GCA, and ocular GCA (CAMRIS-GCA median 0.6 [interquartile range (IQR) 0-1.7] vs median 2.5 [IQR 0.5-6.6] vs median 4.8 [IQR 2.1-8.5]; P < 0.01). Patients with orbital inflammation on MRI (with or without visual symptoms) had a higher median CAMRIS-GCA compared to patients with negative orbital MRI (median 6.7 [IQR 5.6-8.5] vs median 0.4 [IQR 0-1.6]; P < 0.01).

conclusionThis proof-of-concept study introduces a quantitative MRI-derived vascular burden score in GCA and demonstrates its association with ophthalmic involvement. These early findings suggest that cranial VW-MRI may offer a prognostic value in identifying patients at risk for vision-threatening disease.

Identifiers

PMID42087827
PMCPMC13147153

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