A method for standardized computed tomography angiography-based measurement of aortic valvar structures
European Heart Journal 31(17): 2170-2178
Article 2010 English
Authors
RV
Raquel Del Valle
VJ
Vladimir Jelnin
GP
Georgia Panagopoulos
Abstract
1 min read
Reliable assessment of the aortic valvar apparatus (AVAp) is essential as it may facilitate consistent outcomes with percutaneous aortic valvar therapies. The commonly referenced aortic annulus is problematic since this measurement does not correspond to any actual anatomic structure. We aim to describe a reliable method of measuring relevant structures of the AVAp based on widely available computed tomography analyses. Retrospective analysis of computed tomograms of 75 patients with severe aortic stenosis (45 females, age 81.2 ± 7.8 years). Curved multiplaner reconstruction technique was used to measure average diameters of the 'Aortic Leaflets Basal Attachment Plane' (ALBAP), sinuses of Valsalva (SV), sinutubular junction (STJ), ascending aorta (AA), and distance from coronary arteries to the base of the cusps. Angulation between the AA and the left ventricle (LV) was measured in one plane that included the LV inflow long axis and the maximum visualization of the aortic root. Inter-rater reliability and absolute agreement among three raters were evaluated. Intra-class correlation coefficients for ALBAP, SV, STJ, and AA diameters were 0.90, 0.99, 0.95, and 0.94, respectively (P < 0.001) with 95% limits of agreement of the observed differences falling in the less than 1 mm range. Intra-class correlation coefficients were 0.82 for the angle and 0.61 and 0.78 for distances to the right and left coronary arteries (P < 0.001). This method showed a high degree of inter-rater reliability and absolute agreement for AVAp diameters. Agreement was lower for AA–LV angle and distance to coronary artery measurements, emphasizing the need for software improvements and standardized image acquisition protocols.
Shinichiro Masuda, Patrick W. Serruys, Shigetaka Kageyama, Nozomi Kotoku, Kai Ninomiya, Scot Garg, Alan Soo, Marie‐Angèle Morel, John D. Puskas, Jagat Narula, Ulrich Schneider, Torsten Doenst, Kaoru Tanaka, Johan De Mey, Mark La Meir, Antonio L. Bartorelli, Saima Mushtaq, Giulio Pompilio, Daniele Andreini, Yoshinobu Onuma
The International Journal of Cardiovascular Imaging
Shinichiro Masuda, Patrick W. Serruys, Shigetaka Kageyama, Nozomi Kotoku, Kai Ninomiya, Scot Garg, Alan Soo, Marie‐Angèle Morel, John D. Puskas, Jagat Narula, Ulrich Schneider, Torsten Doenst, Kaoru Tanaka, Johan De Mey, Mark La Meir, Antonio L. Bartorelli, Saima Mushtaq, Giulio Pompilio, Daniele Andreini, Yoshinobu Onuma
Carlos Collet, Yoshinobu Onuma, Daniele Andreini, Jeroen Sonck, Giulio Pompilio, Saima Mushtaq, Mark La Meir, Yosuke Miyazaki, Johan De Mey, Oliver Gaemperli, Ahmed Ouda, Juan Pablo Maureira, Damien Mandry, Edoardo Camenzind, Laurent Macron, Torsten Doenst, Ulf Teichgräber, Holger H. Sigusch, Taku Asano, Yuki Katagiri, Marie‐Angèle Morel, Wietze Lindeboom, Gianluca Pontone, Thomas F. Lüscher,
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