Orbital vascular malformations: determining outflow with Valsalva CT angiography

Ophthalmology ◽  
2022 ◽  
Author(s):  
Kelsey A. Roelofs ◽  
Gary Duckwiler ◽  
Bradley Gundlach ◽  
Bryan Yoo ◽  
Stefania B. Diniz ◽  
...  
2015 ◽  
Vol 28 (3) ◽  
pp. 310-315 ◽  
Author(s):  
Jai Jai Shiva Shankar ◽  
Cheemun Lum ◽  
Santanu Chakraborty ◽  
Marlise P dos Santos

2011 ◽  
Vol 24 (5) ◽  
pp. 783-786
Author(s):  
S. MilošEvić Medenica ◽  
B. Prstojević ◽  
V. VučKović

2016 ◽  
Vol 26 (10) ◽  
pp. 3336-3344 ◽  
Author(s):  
Frédéric Clarençon ◽  
Federico Di Maria ◽  
Nader-Antoine Sourour ◽  
Joseph Gabrieli ◽  
Aurélien Nouet ◽  
...  

2022 ◽  
Author(s):  
Ahmet Mesrur Halefoglu

Vein of Galen aneurysm (VGAM) is a rare vascular malformation accounting for less than 1% of all intracranial abnormalities. In this case report, we performed computed tomography (CT) and magnetic resonance imaging (MRI) examinations for a 26-year-old female patient who presented with a severe headache. On these images, a right thalamo-choroidal arterio-venous malformation (AVM) with secondary aneurysmal dilatation of the vein of Galen was suspected, and a CT angiography was performed for further evaluation, which confirmed the diagnosis. The patient refused digital subtraction angiography (DSA) and probable endovascular treatment. Although it is rarely seen in the adult population, CT and MRI have a tremendous impact on the diagnosis of these patients. We should also emphasize the role of CT angiography in the diagnosis and further evaluation of these vascular malformations. Endovascular therapy is regarded as an effective and safe technique in the treatment of these patients.


2005 ◽  
Vol 35 (11) ◽  
pp. 1100-1106 ◽  
Author(s):  
Mark A. Bittles ◽  
Manrita K. Sidhu ◽  
Raymond W. Sze ◽  
Laura S. Finn ◽  
Victor Ghioni ◽  
...  

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.


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