2013
DOI: 10.1002/ccd.24947
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Automated 3D analysis of multislice computed tomography to define the line of perpendicularity of the aortic annulus and of the implanted valve: Benefit on planning transcatheter aortic valve replacement

Abstract: Automated 3D analysis of preimplantation MDCT accurately predicts the LP of the aortic annulus and the corresponding C-arm position required for TAVR.

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Cited by 6 publications
(2 citation statements)
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“…Here, note that the method is not specific to the aortic valve and may be generalizable to other anatomical features [21]. Samin et al developed an automated method in which a 3-D model derived from cardiac CTs can be used to predict the best line of perpendicularity of the proposed TAVR valve, and thus provide the best C-arm angle for alignment of the new valve with the aortic valve annulus [22].…”
Section: Pre-procedural Planningmentioning
confidence: 99%
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“…Here, note that the method is not specific to the aortic valve and may be generalizable to other anatomical features [21]. Samin et al developed an automated method in which a 3-D model derived from cardiac CTs can be used to predict the best line of perpendicularity of the proposed TAVR valve, and thus provide the best C-arm angle for alignment of the new valve with the aortic valve annulus [22].…”
Section: Pre-procedural Planningmentioning
confidence: 99%
“…Here, note that the method is not specific to the aortic valve and may be generalizable to other anatomical features [21]. Samin et al developed an automated method in which a 3-D model derived from cardiac CTs can be used to predict the best line of perpendicularity of the proposed TAVR valve, and thus provide the best C-arm angle for alignment of the new valve with the aortic valve annulus [22]. Cardiac magnetic resonance can also be used as an alternative to CT in pre-TAVR planning, and specifically for patients whose renal function prohibits iodinated contrast or who have experienced a severe allergic reaction to iodine.…”
Section: Pre-procedural Planningmentioning
confidence: 99%