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Abstract Number: 1338

Increased Aortic Wall Thickness for the Diagnosis of Aortitis:  a Computed Tomography-Based Study

Gleb Slobodin1,2,3, Afif Nakhleh4, Doron Rimar1, Vladimir Wolfson5, Itzhak Rosner1 and Majed Odeh2,3, 1Rheumatology, Bnai Zion Medical Center, Haifa, Israel, 2Internal Medicine A, Bnai Zion Medical Center, Haifa, Israel, 3Bnai Zion Medical Center, Haifa, Israel, 447 Golomb St, Bnai Zion Medical Center, Haifa, Israel, 5Radiology, Bnai Zion Medical Center, Haifa, Israel

Meeting: 2015 ACR/ARHP Annual Meeting

Date of first publication: September 29, 2015

Keywords: Computed tomography (CT) and vasculitis

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Session Information

Date: Monday, November 9, 2015

Title: Imaging of Rheumatic Diseases Poster II: X-ray, MRI, PET and CT

Session Type: ACR Poster Session B

Session Time: 9:00AM-11:00AM

Background/Purpose:  To
evaluate the usefulness of computed tomography (CT)-measured aortic wall
thickness (AWT) as a sole imaging finding for the confirmation of clinically
suspected aortitis.

Methods:   CT scans of 20
patients with the diagnosis of aortitis, endorsed by
the abnormally thickened aortic wall, as a single imaging finding, and 250
patients without known aortitis were reviewed and AWT
manually measured at the levels of thoracic descending aorta, upper abdominal
aorta and infrarenal aorta, as well as the level of
maximal AWT in patients with diagnosed aortitis.
Patients’ charts were analyzed and demographic data and data on co-morbidities
extracted. Correlations of measured AWT with patients’ demographic data and
co-morbidities were calculated for the control patients. Age-dependent upper
97.5 percentile points for AWT were calculated for different age groups as a
reference. AWT of patients, diagnosed with aortitis,
was compared with these reference values.

Results: AWT had significant positive correlation with patient age
(p<0.001), gender (p<0.03) and presence of aortic wall calcifications (p<0.001).
In 9 of 20 patients, with diagnosed aortitis confirmed by the increased CT-measured AWT, the
revised values of AWT were lower than calculated
upper 97.5 percentile
point for the relevant age group. In 4 of these patients, the values of the
measured AWT were in the range of mean+SD for AWT for
the same age.

Conclusion:  The
confirmation of suspected aortitis by the increased
CT-measured AWT only may be equivocal and necessitate more specific imaging,
particularly in elderly patients.

Fig 1. Correlation plots of AWT with patients’ age

Table 1. AWT in
different age groups

Age groups

(years)

      Thoracic Aorta

Mean        SD¤           97.5¦

Upper Abdominal Aorta

Mean        SD¤          97.5¦

Lower Abdominal Aorta

Mean       SD¤          97.5¦

<50

0.998        0.49          1.96

1.188       0.46         2.08

1.063       0.42         1.89

50-70

1.544        0.57          2.66

1.535       0.53         2.57

1.504       0.47         2.43

>70

2.133        0.54          3.19

2.012       0.55         3.09

1.927       0.55         3.01

  Mean value of aortic wall thickness (mm)

¤ Standard deviation

¦ Upper 97.5 percentile point

Table 2. Correlations of AWT with patients’ demographic data and
co-morbidities.
Summary of the multivariate regression analysis (p values)

Thoracic Aorta

Upper Abdominal Aorta

Lower Abdominal Aorta

Age

<0.001

<0.001

<0.001

Gender

0.03

0.029

<0.001

AW Calcifications

<0.001

<0.001

<0.001

Arterial Hypertension

0.179

0.830

0.329

Hyperlipidemia

0.656

0.758

0.375

Diabetes Mellitus

0.714

0.997

0.979

Coronary Artery Disease

0.866

0.144

0.459


Disclosure: G. Slobodin, None; A. Nakhleh, None; D. Rimar, None; V. Wolfson, None; I. Rosner, None; M. Odeh, None.

To cite this abstract in AMA style:

Slobodin G, Nakhleh A, Rimar D, Wolfson V, Rosner I, Odeh M. Increased Aortic Wall Thickness for the Diagnosis of Aortitis:  a Computed Tomography-Based Study [abstract]. Arthritis Rheumatol. 2015; 67 (suppl 10). https://acrabstracts.org/abstract/increased-aortic-wall-thickness-for-the-diagnosis-of-aortitis-a-computed-tomography-based-study/. Accessed .
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