OBJECTIVES: This study assessed whether multislice computed tomography (MSCT) could predict optimal angiographic projections for visualizing the plane of the native valve and facilitate accurate positioning during transcatheter aortic valve implantation (TAVI). BACKGROUND: Accurate device positioning during TAVI depends on valve deployment in angiographic projections perpendicular to the native valve plane, but these may be difficult to determine. METHODS: Twenty patients underwent MSCT before TAVI. Using a novel technique, multiple angiographic projections accurately representing the native valve plane in multiple axes were determined. The accuracy of all predicted projections was determined post-procedure using angiography according to new criteria, based on valve perpendicularity and the degree of strut overlap (defined as excellent, satisfactory, or poor). The accuracy of valve deployment using MSCT was compared with the results of 20 consecutive patients undergoing TAVI without such MSCT angle prediction. RESULTS: Correct final deployment projections were more frequent in the MSCT-guided compared with non-MSCT-guided group: excellent or satisfactory projections (90% vs. 65%, p = 0.06). The MSCT angle prediction was accurate but dependent on optimal images (optimal images: 93% of predicted angles were excellent or satisfactory, suboptimal images: 73% of predicted angles were poor). A "line of perpendicularity" could be generated with optimal projections across the right-to-left anterior oblique plane by adding the correct cranial or caudal angulation. CONCLUSIONS: Pre-procedural MSCT can predict optimal angiographic deployment projections for implantation of transcatheter valves. An ideal deployment angle curve or "line of perpendicularity" can be generated. Understanding and applying these principles improves the accuracy of valve deployment and may improve outcomes.
OBJECTIVES: This study assessed whether multislice computed tomography (MSCT) could predict optimal angiographic projections for visualizing the plane of the native valve and facilitate accurate positioning during transcatheter aortic valve implantation (TAVI). BACKGROUND: Accurate device positioning during TAVI depends on valve deployment in angiographic projections perpendicular to the native valve plane, but these may be difficult to determine. METHODS: Twenty patients underwent MSCT before TAVI. Using a novel technique, multiple angiographic projections accurately representing the native valve plane in multiple axes were determined. The accuracy of all predicted projections was determined post-procedure using angiography according to new criteria, based on valve perpendicularity and the degree of strut overlap (defined as excellent, satisfactory, or poor). The accuracy of valve deployment using MSCT was compared with the results of 20 consecutive patients undergoing TAVI without such MSCT angle prediction. RESULTS: Correct final deployment projections were more frequent in the MSCT-guided compared with non-MSCT-guided group: excellent or satisfactory projections (90% vs. 65%, p = 0.06). The MSCT angle prediction was accurate but dependent on optimal images (optimal images: 93% of predicted angles were excellent or satisfactory, suboptimal images: 73% of predicted angles were poor). A "line of perpendicularity" could be generated with optimal projections across the right-to-left anterior oblique plane by adding the correct cranial or caudal angulation. CONCLUSIONS: Pre-procedural MSCT can predict optimal angiographic deployment projections for implantation of transcatheter valves. An ideal deployment angle curve or "line of perpendicularity" can be generated. Understanding and applying these principles improves the accuracy of valve deployment and may improve outcomes.
Authors: Uma D Numburi; Samir R Kapadia; Paul Schoenhagen; E Murat Tuzcu; Martin von Roden; Sandra S Halliburton Journal: Int J Cardiovasc Imaging Date: 2012-06-20 Impact factor: 2.357
Authors: Jonathan G Schwartz; Anne M Neubauer; Thomas E Fagan; Niels J Noordhoek; Michael Grass; John D Carroll Journal: Int J Cardiovasc Imaging Date: 2011-03-11 Impact factor: 2.357