CT aortic annulus parameters for pre-operative TAVI assessment: A comparative study between manual post processing and automated software tool

Abdeldayem, Emad H.; S. IBRAHIM, Ahmed; Osman, Ahmed M.;

Abstract


© 2018 Egyptian Society of Radiology and Nuclear Medicine Objective: A comparative study of manual and automated post processing software tools to measure CT parameters before Transcatheter Aortic Valve Implantation (TAVI). Patients and methods: 51 patients were included; all admitted to the Cardiology Department with clinically established severe aortic stenosis, in whom TAVI was the treatment of choice. All patients underwent CT angiography (CTA) pre-TAVI. The CT images were post processed and the needed CT parameters were calculated using both manual and automated methods. The results were compared for statistical analysis. Results: Only 43 patients completed the study, with mean age 65 years old. The automated software provided accurate almost similar results as the manual method, especially for aortic annulus area and aortic circumference measurements (p-value = 1 and 0.548) and was accepted for left and right coronary artery ostium height (p-value = 0.191 and 0.635). However, there was a statistically significant difference for the minor diameter axis and mean annular diameter (p-value = 0.001 and 0.021). Conclusion: The automated software introduced rapid, accurate and reliable measurements for the aortic annulus in cases prepared for TAVI and can be used as a standard method. Also, it can be performed by junior staff with avoidable human errors.


Other data

Title CT aortic annulus parameters for pre-operative TAVI assessment: A comparative study between manual post processing and automated software tool
Authors Abdeldayem, Emad H. ; S. IBRAHIM, Ahmed ; Osman, Ahmed M. 
Issue Date 2018
Publisher ELSEVIER SCIENCE BV
Journal The Egyptian Journal of Radiology and Nuclear Medicine 
DOI 2
352
https://api.elsevier.com/content/abstract/scopus_id/85046335597
49
10.1016/j.ejrnm.2018.02.007
Scopus ID 2-s2.0-85046335597
Web of science ID WOS:000434457900008

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