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Features of infective native aortic aneurysms on computed tomography

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  • Warissara Jutidamrongphan
  • Boonprasit Kritpracha
  • Karl Sörelius
  • Keerati Hongsakul
  • Ruedeekorn Suwannanon
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Background: Infective native aortic aneurysm (INAA) is a rare clinical diagnosis. The purpose of this study was to describe the CT findings of INAAs in detail. Methods: This was a retrospective single-center study of INAA patients at a major referral hospital between 2005 and 2020. All images were reviewed according to a protocol consisting of aneurysm features, periaortic findings, and associated surrounding structures. Results: One hundred and fourteen patients (mean age, 66 years [standard deviation, 11 years]; 91 men) with 132 aneurysms were included. The most common locations were infrarenal (50.8%), aortoiliac (15.2%), and juxtarenal (12.9%). The mean transaxial diameter was 6.2 cm. Most INAAs were saccular (87.9%) and multilobulated (91.7%). Calcified aortic plaque was present in 93.2% and within the aneurysm in 51.5%. INAA instability was classified as contained rupture (27.3%), impending rupture (26.5%), and free rupture (3.8%). Rapid expansion was demonstrated in 13 of 14 (92.9%) aneurysms with sequential CT studies. Periaortic inflammation was demonstrated as periaortic enhancement (94.7%), fat stranding (93.9%), soft-tissue mass (92.4%), and lymphadenopathy (62.1%). Surrounding involvement included psoas muscle (17.8%), spondylitis (11.4%), and perinephric region (2.8%). Twelve patients demonstrated thoracic and abdominal INAA complications: fistulas to the esophagus (20%), bronchus (16%), bowel (1.9%), and inferior vena cava (IVC) (0.9%). Conclusion: The most common CT features of INAA were saccular aneurysm, multilobulation, and calcified plaques. The most frequent periaortic findings were enhancement, fat stranding, and soft-tissue mass. Surrounding involvement, including psoas muscle, IVC, gastrointestinal tract, and bronchi, was infrequent but may develop as critical INAA complications.

OriginalsprogEngelsk
Artikelnummer2
TidsskriftInsights into Imaging
Vol/bind13
Udgave nummer1
ISSN1869-4101
DOI
StatusUdgivet - dec. 2022

Bibliografisk note

Funding Information:
We gratefully thank Asst. Prof. Dr. Rassamee Sangthong from Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Thailand, for her part on the statistical analysis and manuscript editing, and Mr. Glenn Shingledecker for his assistance with the language proofreading in this manuscript.

Publisher Copyright:
© 2021, The Author(s).

ID: 79476890