OBJECTIVE: Positron emission tomography/computed tomography (PET/CT) has not been well studied as a first-line test for giant cell arteritis (GCA), due, in part, to historical limitations in visualizing the cranial arteries. The Giant Cell Arteritis and PET Scan (GAPS) study was therefore carried out to assess the accuracy of a newer generation PET/CT of the head, neck, and chest for determining a diagnosis of GCA. METHODS: In the GAPS study cohort, 64 patients with newly suspected GCA underwent time-of-flight PET/CT (1-mm slice thickness from the vertex to diaphragm) within 72 hours of starting glucocorticoids and before undergoing temporal artery biopsy (TAB). Two physicians with experience in PET reviewed the patients' scans in a blinded manner and reported the scans as globally positive or negative for GCA. Tracer uptake was graded across 18 artery segments. The clinical diagnosis was confirmed at 6 months' follow-up. RESULTS: In total, 58 of 64 patients underwent TAB, and 12 (21%) of the biopsies were considered positive for GCA. Twenty-one patients had a clinical diagnosis of GCA. Compared to TAB, the sensitivity of PET/CT for a diagnosis of GCA was 92% (95% confidence interval [95% CI] 62-100%) and specificity was 85% (95% CI 71-94%). The negative predictive value (NPV) was 98% (95% CI 87-100%). Compared to clinical diagnosis, PET/CT had a sensitivity of 71% (95% CI 48-89%) and specificity of 91% (95% CI 78-97%). Interobserver reliability was moderate (κ = 0.65). Among the enrolled patients, 20% had a clinically relevant incidental finding, including 7 with an infection and 5 with a malignancy. Furthermore, 5 (42%) of 12 TAB-positive GCA patients had moderate or marked aortitis. CONCLUSION: The high diagnostic accuracy of this PET/CT protocol would support its use as a first-line test for GCA. The NPV of 98% indicates the particular utility of this test in ruling out the condition in patients considered to be at lower risk of GCA. PET/CT had benefit over TAB in detecting vasculitis mimics and aortitis.
OBJECTIVE: Positron emission tomography/computed tomography (PET/CT) has not been well studied as a first-line test for giant cell arteritis (GCA), due, in part, to historical limitations in visualizing the cranial arteries. The Giant Cell Arteritis and PET Scan (GAPS) study was therefore carried out to assess the accuracy of a newer generation PET/CT of the head, neck, and chest for determining a diagnosis of GCA. METHODS: In the GAPS study cohort, 64 patients with newly suspected GCA underwent time-of-flight PET/CT (1-mm slice thickness from the vertex to diaphragm) within 72 hours of starting glucocorticoids and before undergoing temporal artery biopsy (TAB). Two physicians with experience in PET reviewed the patients' scans in a blinded manner and reported the scans as globally positive or negative for GCA. Tracer uptake was graded across 18 artery segments. The clinical diagnosis was confirmed at 6 months' follow-up. RESULTS: In total, 58 of 64 patients underwent TAB, and 12 (21%) of the biopsies were considered positive for GCA. Twenty-one patients had a clinical diagnosis of GCA. Compared to TAB, the sensitivity of PET/CT for a diagnosis of GCA was 92% (95% confidence interval [95% CI] 62-100%) and specificity was 85% (95% CI 71-94%). The negative predictive value (NPV) was 98% (95% CI 87-100%). Compared to clinical diagnosis, PET/CT had a sensitivity of 71% (95% CI 48-89%) and specificity of 91% (95% CI 78-97%). Interobserver reliability was moderate (κ = 0.65). Among the enrolled patients, 20% had a clinically relevant incidental finding, including 7 with an infection and 5 with a malignancy. Furthermore, 5 (42%) of 12 TAB-positive GCA patients had moderate or marked aortitis. CONCLUSION: The high diagnostic accuracy of this PET/CT protocol would support its use as a first-line test for GCA. The NPV of 98% indicates the particular utility of this test in ruling out the condition in patients considered to be at lower risk of GCA. PET/CT had benefit over TAB in detecting vasculitis mimics and aortitis.
Authors: Dan Pugh; Maira Karabayas; Neil Basu; Maria C Cid; Ruchika Goel; Carl S Goodyear; Peter C Grayson; Stephen P McAdoo; Justin C Mason; Catherine Owen; Cornelia M Weyand; Taryn Youngstein; Neeraj Dhaun Journal: Nat Rev Dis Primers Date: 2022-01-06 Impact factor: 65.038
Authors: M A DiIorio; P S Sobiesczcyk; C Xu; W Huang; J A Ford; S S Zhao; D H Solomon; W P Docken; S K Tedeschi Journal: Scand J Rheumatol Date: 2021-03-03 Impact factor: 3.057
Authors: Amir Emamifar; Torkell Ellingsen; Søren Hess; Oke Gerke; Rasmus Hviid Larsen; Ziba Ahangarani Farahani; Per Syrak Hansen; Inger Marie Jensen Hansen; Henrik Petersen; Niels Marcussen; Michael Dahlstrøm; Pia Toftegaard; Peter Thye-Rønn Journal: ACR Open Rheumatol Date: 2020-07-22
Authors: Andrej Ćorović; Christopher Wall; Justin C Mason; James H F Rudd; Jason M Tarkin Journal: Curr Cardiol Rep Date: 2020-08-09 Impact factor: 3.955