Spectrum of aortic diseases in adults using 128 slice CT angiography

2018 ◽  
Vol 7 (1) ◽  
pp. 12-16
Author(s):  
Panchmahalkar A C ◽  
◽  
Warkad M B ◽  
Nanivadekar A ◽  
◽  
...  
2019 ◽  
Vol 30 (2) ◽  
pp. 1079-1087 ◽  
Author(s):  
S. Petteri Kauhanen ◽  
Petri Saari ◽  
Pekka Jaakkola ◽  
Miika Korhonen ◽  
Johannes Parkkonen ◽  
...  

Abstract Objectives To clarify the prevalence and risk factors of ascending aortic (AA) dilatation according to ESC 2014 guidelines. Methods This study included 1000 consecutive patients scheduled for diagnostic coronary artery computed tomographic angiography. AA diameter was retrospectively measured in 3 planes: sinus valsalva, sinotubular junction, and tubular part. The threshold for AA dilatation was set to > 40 mm which has been suggested as an upper normal limit for AA diameter in ESC 2014 guidelines on aortic diseases. Aortic size index (ASI) using the ratio between aortic diameter and body surface area (BSA) was applied as a comparative measurement. The threshold for AA dilatation was set to the upper limit of normal distribution exceeding two standard deviations (95%). Risk factors for AA dilatation were collected from medical records. Results The patients’ mean age was 52.9 ± 9.8 years (66.5% women). The prevalence of AA dilatation was 23.0% in the overall study population (52.5% males) and 15.1% in the subgroup of patients with no coronary artery disease or bicuspid (BAV)/mechanical aortic valve (n = 365). According to the normal-distributed ASI values, the threshold for sinus valsalva was defined as 23.2 mm/m2 and for tubular part 22.2 mm/m2 in the subgroup. Higher BSA was associated with larger AA dimensions (r = 0.407, p < 0.001). Male gender (p < 0.001), BAV (p < 0.001), hypertension (p = 0.009) in males, and smoking (p < 0.001) appeared as risk factors for AA dilatation. Conclusions The prevalence of AA dilatation is high with current ESC guidelines for normal AA dimension, especially in males. Body size is strongly associated with AA dimensions; it would be more reliable to use BSA-adjusted AA diameters for the definition of AA dilatation. Key Points • The prevalence of AA dilatation is high in patients who are candidates for coronary CT angiography. • Body size is strongly associated with AA dimensions.


2012 ◽  
Vol 5 (5) ◽  
pp. 337-351
Author(s):  
Pushpender Gupta ◽  
Joseph G. Mammarappallil ◽  
Caroline Chiles ◽  
Daniel W. Entrikin

Radiographics ◽  
2010 ◽  
Vol 30 (1) ◽  
pp. 79-98 ◽  
Author(s):  
Eric T. Kimura-Hayama ◽  
Gabriela Meléndez ◽  
Ana L. Mendizábal ◽  
Aloha Meave-González ◽  
Greby Fernando B. Zambrana ◽  
...  

2006 ◽  
Vol 175 (4S) ◽  
pp. 554-554
Author(s):  
Lori B. Schlunt ◽  
Jonathan D. Harper ◽  
Dale R. Broome ◽  
Greg Watkins ◽  
Pedro W. Baron ◽  
...  

2010 ◽  
Vol 43 (12) ◽  
pp. 16
Author(s):  
WILLIAM E. GOLDEN ◽  
ROBERT H. HOPKINS
Keyword(s):  

VASA ◽  
2005 ◽  
Vol 34 (4) ◽  
pp. 255-261 ◽  
Author(s):  
Diehm ◽  
Baumgartner ◽  
Silvestro ◽  
Herrmann ◽  
Triller ◽  
...  

Background: Open surgical or endovascular abdominal aortic aneurysm (AAA) relies on precise preprocedual imaging. Purpose of this study was to assess inter- and intraobserver variation of software-supported automated and manual multi row detector CT angiography (MDCTA) in aortoiliac diameter measurements before AAA repair. Patients and methods: Thirty original MDCTA data sets (4 times 2mm collimation) of patients scheduled for endovascular AAA repair were studied on a dedicated software capable of creating two-dimensional reformatted planes orthogonal to the aortoiliac center-line. Measurements were performed twice with a four-week interval between readings. Data were analysed by two blinded readers at random order. Two different measurement methods were performed: reader-assisted freehand wall-to-wall measurement and semi-automatic measurement. Results: Aortoiliac diameters were significantly underestimated by the semi-automatic method as compared to reader-assisted measurements (p < 0.0031). Intraobserver variability of AAA diameter calculation was not significant (p > 0.15) for reader-assisted measurements except for the diameter of the left common iliac artery in reader 2 (p = 0.0045) and it was not significant (p > 0.14) using the semi-automatic method. Interobserver variability was not significant for AAA diameter measurements using the reader-assisted method and for proximal neck analysis with the semi-automatic method (p > 0.27). Relevant interobserver variation was observed for semi-automatic measurement of maximum AAA (p = 0.0007) and iliac artery diameters (p = 0.024). Conclusions: Dedicated MDCTA software provides a useful tool to minimize aortoiliac diameter measurement variation and to improve imaging precision before AAA repair. For reliable AAA diameter analysis the reader-assisted freehand measurement method is recommended to be applied to a set of reformatted CT data as provided by the software used in this study.


VASA ◽  
2019 ◽  
Vol 48 (2) ◽  
pp. 115-125 ◽  
Author(s):  
Xin Li ◽  
Daniel Staub ◽  
Vasileios Rafailidis ◽  
Mohammed Al-Natour ◽  
Sanjeeva Kalva ◽  
...  

Abstract. Ultrasound has been established as an important diagnostic tool in assessing vascular abnormalities. Standard B-mode and Doppler techniques have inherent limitations with regards to detection of slow flow and small vasculature. Contrast-enhanced ultrasound (CEUS) is a complementary tool and is useful in assessing both the macro- and microvascular anatomy of the aorta. CEUS can also provide valuable physiological information in real-time scanning sessions due to the physical and safety profiles of the administered microbubbles. From a macrovascular perspective, CEUS has been used to characterize aortic aneurysm rupture, dissection and endoleaks post-EVAR repair. With regard to microvasculature CEUS enables imaging of adventitial vasa vasorum thereby assessing aortic inflammation processes, such as monitoring treatment response in chronic periaortitis. CEUS may have additional clinical utility since adventitial vasa vasorum has important implications in the pathogenesis of aortic diseases. In recent years, there have been an increasing number of studies comparing CEUS to cross-sectional imaging for aortic applications. For endoleak surveillance CEUS has been shown to be equal or in certain cases superior in comparison to CT angiography. The recent advancement of CEUS software along with the ongoing development of drug-eluting contrast microbubbles has allowed improved targeted detection and real-time ultrasound guided therapy for aortic vasa vasorum inflammation and neovascularization in animal models. Therefore, CEUS is uniquely suited to comprehensively assess and potentially treat aortic vascular diseases in the future.


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