Literature DB >> 33155792

Imaging modalities used in diagnosis and follow-up of patients with Takayasu’s arteritis

Ayşe Bahar Keleşoğlu Dinçer1, Levent Kılıç2, Abdulsamet Erden2, Umut Kalyoncu2, Tuncay Hazirolan3, Sedat Kiraz2, Ömer KaradaĞ2.   

Abstract

Background/aim: Takayasu’s arteritis (TA) is a rare, large-vessel vasculitis of unknown etiology, affecting aortic arch, and its main branches. Noninvasive imaging methods are frequently used in diagnosis and follow-up in Takayasu’s arteritis. Studies investigating optimal timing of follow up imaging are rare. This study is aimed to investigate the radiologic changes in vascular involvements of Takayasu’s arteritis patients one year after diagnosis. Materials and methods: Database of our Vasculitis Center was analyzed retrospectively and 97 patients were included into the study. Demographic, clinical, radiological, and therapeutic findings of patients were recorded. Patients with follow-up imaging after approximately one year of diagnosis were recruited into further analysis. Radiological changes and the effect of different immunosuppressive agents on vascular involvements were investigated.
Results: Mean age and disease duration of patients were 43.0 and 9.0 years. The most commonly used imaging methods/modalities for the diagnosis of TA were computer tomography-angiography (CT-Ang) (58.8%), magnetic resonance-angiography (MR-Ang) (29.9%), and doppler ultrasonography (11.3%). Subclavian and common carotid arteries were the most frequently involved vessels. Fifty-three patients underwent follow-up imaging after one year of diagnosis and, in 64% of patients, same imaging method had been used. MR- Ang (62.3%) and CT-Ang (35.9%) were the most preferred follow-up imaging studies. Sixty-eight percent of patients had stable vascular involvement, 28% had progression, and 4% had regression. No difference was found in radiological changes regarding patients with usage of different immunosuppressive agents (P = 0.634). There was no association between the change in serum acute phase reactants and radiological disease activity.
Conclusion: The most commonly used imaging modality for the diagnosis of TA was CT-Ang, whereas MR-Ang was the most preferred for follow-up. Almost 30% of TA patients in our Vasculitis Center had progression at around one year concordant with previous literature. A follow-up imaging at around one year of treatment seems feasible in management of TA. This work is licensed under a Creative Commons Attribution 4.0 International License.

Entities:  

Keywords:  Takayasu’s arteritis; computer tomography angiography; magnetic resonance angiography; doppler ultrasonography; conventional angiography; positron-emission tomography

Year:  2021        PMID: 33155792      PMCID: PMC7991884          DOI: 10.3906/sag-2005-70

Source DB:  PubMed          Journal:  Turk J Med Sci        ISSN: 1300-0144            Impact factor:   0.973


  23 in total

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Journal:  Clin Exp Rheumatol       Date:  2009 Jan-Feb       Impact factor: 4.473

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Review 5.  Clinical diagnosis and management of large vessel vasculitis: Takayasu arteritis.

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Journal:  Curr Cardiol Rep       Date:  2014-07       Impact factor: 2.931

6.  Assessment of disease activity and progression in Takayasu's arteritis with Disease Extent Index-Takayasu.

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Authors:  Mitsuaki Isobe
Journal:  Int J Cardiol       Date:  2013-02-13       Impact factor: 4.164

8.  Clinical manifestations of Takayasu arteritis in India and Japan--new classification of angiographic findings.

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Journal:  Angiology       Date:  1997-05       Impact factor: 3.619

9.  Echocardiographic characteristics of pulmonary artery involvement in Takayasu arteritis.

Authors:  Wei Jiang; Yuanhua Yang; Xiuzhang Lv; Yidan Li; Zhanhong Ma; Jifeng Li
Journal:  Echocardiography       Date:  2017-01-31       Impact factor: 1.724

10.  Novel Angiographic Scores for evaluation of Large Vessel Vasculitis.

Authors:  Enrico Tombetti; Claudia Godi; Alessandro Ambrosi; Frances Doyle; Alana Jacobs; Allan P Kiprianos; Taryn Youngstein; Katie Bechman; Angelo A Manfredi; Ben Ariff; Justin C Mason
Journal:  Sci Rep       Date:  2018-10-29       Impact factor: 4.379

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