Lara D. Veeken · 2020 · 17 citations · 10 references
Veterinary MedicineOphthalmologyOcular DiseaseOcular ImagingUltrasonographyTemporal Artery DiseaseVascular UltrasonographyArterial Wall ThickeningDiagnostic Test YieldDiagnostic Testing AccuracyDiagnostic Yield AssessmentSystemic VasculitisTemporal ArteritisTemporal Artery AssessmentTemporal Artery Ultrasound
OBJECTIVES: To validate cut-off values of quantitative high-resolution temporal artery compression sonography (TCS) for the diagnosis of cranial GCA (cGCA) in patients with acute arterial ocular occlusions and in an independent control group. METHODS: Consecutive patients who underwent TCS as part of the diagnostic workup of acute arterial ocular occlusions and controls not suffering from ocular ischaemia/systemic vasculitis were included. The diagnostic accuracy of the established TCS cut-off value of maximum temporal artery wall thickness (≥0.7 mm) and a novel numeric TCS score incorporating the degree of wall thickening in the four temporal artery segments assessed (0-3 points per segment) was tested by receiver operating characteristics analysis. Subgroup analyses were performed for female and male patients and patients older and younger than age of 70 years. RESULTS: Of 114 patients with acute ocular arterial occlusions, 30 patients received a final clinical diagnosis of cGCA. The sensitivity and specificity of the ≥0.7 mm TCS cut-off for the diagnosis of cGCA were 100 and 84.5% in the overall cohort. The TCS score did not improve the diagnostic yield (cut-off ≥5; sensitivity 100%, specificity 85.7%). In male patients >70 years of age, the specificity of TCS was limited, secondary to age- and sex-related differences in temporal artery wall thickness, which we confirmed in the independent control group. CONCLUSION: TCS yields high diagnostic accuracy in the diagnosis of cGCA in patients with acute ocular arterial occlusions. Age- and sex-related differences in temporal artery wall thickness influence the diagnostic accuracy of TCS.
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Kornelis S. M. van der Geest, Frances Borg, Abdul Kayani et al. · Annals of the Rheumatic Diseases · 2020 · 126 citations · Full text