Literature DB >> 28375835

B-mode sonography wall thickness assessment of the temporal and axillary arteries for the diagnosis of giant cell arteritis: a cohort study.

Michael Czihal1, Angelika Schröttle2, Kerstin Baustel2, Christian Lottspeich2, Claudia Dechant3, Karla-Maria Treitl4, Marcus Treitl4, Hendrik Schulze-Koops3, Ulrich Hoffmann2.   

Abstract

OBJECTIVES: We aimed to determine the diagnostic accuracy of B-mode compression sonography of the temporal arteries (tempCS) and B-mode sonographic measurement of the axillary artery intima media thickness (axIMT) for the diagnosis of giant cell arteritis (GCA).
METHODS: After having established measurement of tempCS and axIMT in our routine diagnostic workup, 92 consecutive patients with a suspected diagnosis of GCA were investigated. Clinical characteristics were recorded and wall thickening of the temporal arteries (tempCS) and axillary arteries (axIMT) was measured (mm). Using the final clinical diagnosis as the reference standard, receiver operator characteristics (ROC) analysis was performed. In a subgroup of 26 patients interobserver agreement was assessed using Spearman's rank correlation.
RESULTS: Cranial GCA, extracranial GCA, and combined cranial/extracranial GCA were diagnosed in 18, 7, and 9 individuals, respectively. For the diagnosis of cranial GCA, tempCS had an excellent area under the curve (AUC) of 0.95, with a cut-off of ≥0.7 mm offering a sensitivity and specificity of 85% and 95%. The AUC of axIMT for the diagnosis of extracranial GCA was 0.91 (cut-off ≥1.2 mm: sensitivity and specificity 81.3 and 96.1%). Applying a combined tempCS/axIMT cut-off of ≥0.7mm/1.2 mm, we calculated an overall sensitivity and specificity for the final clinical diagnosis of cranial and/or extracranial GCA of 85.3% and 91.4%. Interobserver agreement was strong for both parameters assessed (Spearman's rho 0.72 and 0.77, respectively).
CONCLUSIONS: The combination of tempCS/axIMT allows objective sonographic assessment in suspected GCA with promising diagnostic accuracy.

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Year:  2017        PMID: 28375835

Source DB:  PubMed          Journal:  Clin Exp Rheumatol        ISSN: 0392-856X            Impact factor:   4.473


  8 in total

1.  Ultrasound for diagnosis and follow-up of chronic axillary vasculitis in patients with long-standing giant cell arteritis.

Authors:  Philipp Bosch; Christian Dejaco; Wolfgang A Schmidt; Kenny D- Schlüter; Gudrun Pregartner; Valentin S Schäfer
Journal:  Ther Adv Musculoskelet Dis       Date:  2021-03-19       Impact factor: 5.346

Review 2.  Ultrasound Assessment of Extracranial Carotids and Vertebral Arteries in Acute Cerebral Ischemia.

Authors:  Klearchos Psychogios; Georgios Magoufis; Odysseas Kargiotis; Apostolos Safouris; Eleni Bakola; Maria Chondrogianni; Panagiotis Zis; Elefterios Stamboulis; Georgios Tsivgoulis
Journal:  Medicina (Kaunas)       Date:  2020-12-18       Impact factor: 2.430

3.  Impact of cardiovascular risk on the diagnostic accuracy of the ultrasound Halo Score for giant cell arteritis.

Authors:  Juan Molina-Collada; Katerine López Gloria; Isabel Castrejón; Juan Carlos Nieto-González; Julia Martínez-Barrio; Ana M Anzola Alfaro; Javier Rivera; José María Álvaro-Gracia
Journal:  Arthritis Res Ther       Date:  2022-10-13       Impact factor: 5.606

4.  Diagnostic performance and utility of very high-resolution ultrasonography in diagnosing giant cell arteritis of the temporal artery.

Authors:  Johnny K M Sundholm; Tom Pettersson; Anders Paetau; Anders Albäck; Taisto Sarkola
Journal:  Rheumatol Adv Pract       Date:  2019-07-05

Review 5.  Imaging for Diagnosis, Monitoring, and Outcome Prediction of Large Vessel Vasculitides.

Authors:  Valentin Sebastian Schäfer; Lei Jin; Wolfgang Andreas Schmidt
Journal:  Curr Rheumatol Rep       Date:  2020-09-21       Impact factor: 4.592

6.  Diagnostic Accuracy of Symptoms, Physical Signs, and Laboratory Tests for Giant Cell Arteritis: A Systematic Review and Meta-analysis.

Authors:  Kornelis S M van der Geest; Maria Sandovici; Elisabeth Brouwer; Sarah L Mackie
Journal:  JAMA Intern Med       Date:  2020-10-01       Impact factor: 21.873

7.  A Diagnostic Algorithm Based on a Simple Clinical Prediction Rule for the Diagnosis of Cranial Giant Cell Arteritis.

Authors:  Michael Czihal; Christian Lottspeich; Christoph Bernau; Teresa Henke; Ilaria Prearo; Marc Mackert; Siegfried Priglinger; Claudia Dechant; Hendrik Schulze-Koops; Ulrich Hoffmann
Journal:  J Clin Med       Date:  2021-03-10       Impact factor: 4.241

8.  Quantitative ultrasound to monitor the vascular response to tocilizumab in giant cell arteritis.

Authors:  Luca Seitz; Lisa Christ; Fabian Lötscher; Godehard Scholz; Adela-Cristina Sarbu; Lukas Bütikofer; Florian Kollert; Wolfgang A Schmidt; Stephan Reichenbach; Peter M Villiger
Journal:  Rheumatology (Oxford)       Date:  2021-11-03       Impact factor: 7.580

  8 in total

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