Abstract
Background and purpose
Imaging for giant cell arteritis (GCA) has traditionally relied on ultrasound, MRI, and, more recently, nuclear medicine. CTA has not been systematically evaluated, despite near-universal availability, rapid acquisition, and comprehensive neck vessel assessment. We evaluated the ability of CTA to discriminate between patients with biopsy-proved GCA and age- and sex-matched controls by assessing cervical arterial abnormalities across multiple cervical arterial segments.Materials and methods
This retrospective single-center study included 20 biopsy-proved GCA cases (with CTA performed within 4 weeks before or 2 weeks after biopsy) and 20 age- and sex-matched controls. Two neuroradiologists independently assessed 21 predefined arterial segments for abnormalities (absent/present). Segment-level positivity was defined by circumferential wall thickening, >50% stenosis/occlusion, or perivascular inflammatory fat stranding. Vessel-group-level involvement was through consensus positivity (both readers positive; either side). Per-patient total scores were evaluated with receiver operating characteristic analysis (DeLong area under the receiver operating characteristic curve [AUROC]), prespecified thresholds with secondary exploratory analysis through McNemar testing, and interreader agreement by percent agreement and Cohen κ.Results
Median age was 76 years (interquartile range, 70-84 years); 60% were women in both groups. Across 806 evaluable segments, consensus involvement in GCA cases was most frequent along the maxillary (80%; 16/20), facial (75%; 15/20), and superficial temporal (70%; 14/20) arteries. Total-score discrimination was excellent (AUROC 0.971 for both readers). At total score ≥3, sensitivity/specificity were 0.90/1.00 for both readers, with paired differences favoring cases (exact McNemar P Conclusions
Structured multisegment CTA scoring of craniocervical arterial segments showed excellent discrimination of biopsy-proved GCA from matched controls, supporting CTA as a useful diagnostic tool in patients with GCA.