BACKGROUND: Accurate aortic root measurements and evaluation of spatial relationships with coronary ostia are crucial in preoperative transcatheter aortic valve implantation assessments. Standardization of measurements may increase intraobserver and interobserver reproducibility to promote procedural success rate and reduce the frequency of procedurally related complications. This study evaluated the accuracy and reproducibility of a novel automated multidetector row computed tomography (MDCT) imaging postprocessing software, 3mensio Valves (version 4.1.sp1, Medical Imaging BV, Bilthoven, The Netherlands), in the assessment of patients with severe aortic stenosis candidates for transcatheter aortic valve implantation. METHODS: Ninety patients with aortic valve disease were evaluated with 64-row and 320-row MDCT. Aortic valve annular size, aortic root dimensions, and height of the coronary ostia relative to the aortic valve annular plane were measured with the 3mensio Valves software. The measurements were compared with those obtained manually by the Vitrea2 software (Vital Images, Minneapolis, MN). RESULTS: Assessment of aortic valve annulus and aortic root dimensions were feasible in all the patients using the automated 3mensio Valves software. There were excellent agreements with minimal bias between automated and manual MDCT measurements as demonstrated by Bland-Altman analysis and intraclass correlation coefficients ranging from 0.97 to 0.99. The automated 3mensio Valves software had better interobserver reproducibility and required less image postprocessing time than manual assessment. CONCLUSIONS: Novel automated MDCT postprocessing imaging software (3mensio Valves) permits reliable, reproducible, and automated assessments of the aortic root dimensions and spatial relations with the surrounding structures. This has important clinical implications for preoperative assessments of patients undergoing transcatheter aortic valve implantation.
BACKGROUND: Accurate aortic root measurements and evaluation of spatial relationships with coronary ostia are crucial in preoperative transcatheter aortic valve implantation assessments. Standardization of measurements may increase intraobserver and interobserver reproducibility to promote procedural success rate and reduce the frequency of procedurally related complications. This study evaluated the accuracy and reproducibility of a novel automated multidetector row computed tomography (MDCT) imaging postprocessing software, 3mensio Valves (version 4.1.sp1, Medical Imaging BV, Bilthoven, The Netherlands), in the assessment of patients with severe aortic stenosis candidates for transcatheter aortic valve implantation. METHODS: Ninety patients with aortic valve disease were evaluated with 64-row and 320-row MDCT. Aortic valve annular size, aortic root dimensions, and height of the coronary ostia relative to the aortic valve annular plane were measured with the 3mensio Valves software. The measurements were compared with those obtained manually by the Vitrea2 software (Vital Images, Minneapolis, MN). RESULTS: Assessment of aortic valve annulus and aortic root dimensions were feasible in all the patients using the automated 3mensio Valves software. There were excellent agreements with minimal bias between automated and manual MDCT measurements as demonstrated by Bland-Altman analysis and intraclass correlation coefficients ranging from 0.97 to 0.99. The automated 3mensio Valves software had better interobserver reproducibility and required less image postprocessing time than manual assessment. CONCLUSIONS: Novel automated MDCT postprocessing imaging software (3mensio Valves) permits reliable, reproducible, and automated assessments of the aortic root dimensions and spatial relations with the surrounding structures. This has important clinical implications for preoperative assessments of patients undergoing transcatheter aortic valve implantation.
Authors: Dominik Zinsser; Alena B Baumann; Katharina Stella Winter; Fabian Bamberg; Philipp Lange; Konstantin Nikolaou; Maximilian Reiser; Christian Kupatt; Thomas Kröncke; Florian Schwarz Journal: Int J Cardiovasc Imaging Date: 2018-06-05 Impact factor: 2.357
Authors: M A Elattar; E M Wiegerinck; R N Planken; E Vanbavel; H C van Assen; J Baan; H A Marquering Journal: Med Biol Eng Comput Date: 2014-06-06 Impact factor: 2.602
Authors: Florian Schwarz; Philipp Lange; Dominik Zinsser; Martin Greif; Peter Boekstegers; Christoph Schmitz; Maximilian F Reiser; Christian Kupatt; Hans C Becker Journal: PLoS One Date: 2014-08-01 Impact factor: 3.240
Authors: Mustafa Elattar; Esther Wiegerinck; Floortje van Kesteren; Lucile Dubois; Nils Planken; Ed Vanbavel; Jan Baan; Henk Marquering Journal: Int J Cardiovasc Imaging Date: 2015-10-23 Impact factor: 2.357