The risk of rupture of an abdominal aortic aneurysm increases with size. It has thus been recommended that small aneurysms be continuously followed with some type of imaging technique to detect when aneurysm size constitutes an indication for surgery. The present study focuses on the growth rate of
Computed tomography (CT) of abdominal aortic aneurysms: determination of longitudinal extent
β Scribed by A. K. Dixon; R. G. Springall; I. Kelsey Fry; G. W. Taylor
- Publisher
- John Wiley and Sons
- Year
- 1981
- Tongue
- English
- Weight
- 431 KB
- Volume
- 68
- Category
- Article
- ISSN
- 0007-1323
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β¦ Synopsis
Summary
The aim of this study was to evaluate computed tomography (CT) in the assessment of abdominal aortic aneurysms with particular reference to their longitudinal extent. Twenty-nine patients were examined by CT, 21 of whom came to surgery. Sixteen of these 21 patients were also examined by ultrasound. At CT the relation of the aneurysm to the renal arteries proximally and the bifurcation distally was noted, along with the definition of the aortic outline. At subsequent surgery the longitudinal relations of the aneurysm and evidence of localized stretching of or leakage from the sac were assessed by an observer without knowledge of the CT scan report. Correct extent of the aneurysm in relation to the renal arteries was predicted by CT in 20 out of the 21 patients who underwent surgery. CT assessment with respect to the bifurcation was correct in 16. The CT findings proved correct in one patient with localized stretching of one part of the aneurysm and in one patient where leakage was occurring. CT scanning was found to be superior to ultrasound in our preoperative assessment of the superior extent of abdominal aortic aneurysms. CT is considered to be the investigation of first choice when evaluating an abdominal aortic aneurysm.
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## Abstract Shared random effects joint models are becoming increasingly popular for investigating the relationship between longitudinal and timeβtoβevent data. Although appealing, such complex models are computationally intensive, and quick, approximate methods may provide a reasonable alternative