Literature DB >> 32617689

A fully automated software platform for structural mitral valve analysis.

Simon S Martin1,2, Richard R Bayer1, Robert Steinbach1, U Joseph Schoepf3, L Parkwood Griffith1, Marly van Assen1, Matthias Renker4, Pooyan Sahbaee5, Chris Schwemmer6, Andreas M Fischer1, Akos Varga-Szemes1.   

Abstract

OBJECTIVE: To evaluate a novel fully automated mitral valve analysis software platform for cardiac computer tomography angiography (CCTA)-based structural heart therapy procedure planning.
METHODS: The study included 52 patients (25 women; mean age, 66.9 ± 12.4 years) who had undergone CCTA prior to transcatheter mitral valve replacement (TMVR) or surgical mitral valve intervention (replacement or repair). Therapeutically relevant mitral valve annulus parameters (projected area, circumference, trigone-to-trigone (T-T) distance, anterior-posterior (AP) diameter, and anterolateral-posteromedial (AL-PM) diameter) were measured. Results of the fully automated mitral valve analysis software platform with and without manual adjustments were compared with the reference standard of a user-driven measurement program (3mensio, Pie Medical Imaging). Measurements were compared between the fully automated software, both with and without manual adjustment, and the user-driven program using intraclass correlation coefficients (ICC). A secondary analysis included the time to obtain all measurements.
RESULTS: Fully automated measurements showed a good to excellent agreement (circumference, ICC = 0.70; projected area, ICC = 0.81; T-T distance, ICC = 0.64; AP, ICC = 0.62; and AL-PM diameter, ICC = 0.78) compared with the user-driven analysis. There was an excellent agreement between fully automated measurement with manual adjustments and user-driven analysis regarding circumference (ICC = 0.91), projected area (ICC = 0.93), T-T distance (ICC = 0.80), AP (ICC = 0.78), and AL-PM diameter (ICC = 0.79). The time required for mitral valve analysis was significantly lower using the fully automated software with manual adjustments compared with the standard assessment (134.4 ± 36.4 s vs. 304.3 ± 77.7 s) (p < 0.01).
CONCLUSION: The fully automated mitral valve analysis software, when combined with manual adjustments, demonstrated a strong correlation compared with the user-driven software while reducing the total time required for measurement. KEY POINTS: • The novel software platform allows for a fully automated analysis of mitral valve structures. • An excellent agreement was found between the fully automated measurement with manual adjustments and the user-driven analysis. • The software showed quicker measurement time compared with the standard analysis of the mitral valve.

Entities:  

Keywords:  Automated mitral valve analysis; Computed tomography; Mitral valve; Transcatheter mitral valve replacement

Mesh:

Year:  2020        PMID: 32617689     DOI: 10.1007/s00330-020-06983-7

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  10 in total

Review 1.  Anatomy of the mitral valve.

Authors:  S Y Ho
Journal:  Heart       Date:  2002-11       Impact factor: 5.994

Review 2.  Anatomy of the heart at multidetector CT: what the radiologist needs to know.

Authors:  James P O'Brien; Monvadi B Srichai; Elizabeth M Hecht; Daniel C Kim; Jill E Jacobs
Journal:  Radiographics       Date:  2007 Nov-Dec       Impact factor: 5.333

3.  Automated and Manual Measurements of the Aortic Annulus with ECG-Gated Cardiac CT Angiography Prior to Transcatheter Aortic Valve Replacement: Comparison with 3D-Transesophageal Echocardiography.

Authors:  David Guez; Gilda Boroumand; Nicholas J Ruggiero; Praveen Mehrotra; Ethan Joseph Halpern
Journal:  Acad Radiol       Date:  2017-01-24       Impact factor: 3.173

4.  Manual versus automatic detection of aortic annulus plane in a computed tomography scan for transcatheter aortic valve implantation screening.

Authors:  Arnaud Van Linden; Jörg Kempfert; Johannes Blumenstein; Helge Möllmann; Won-Keun Kim; Serap Alkaya; Christian Hamm; Thomas Walther
Journal:  Eur J Cardiothorac Surg       Date:  2014-01-14       Impact factor: 4.191

Review 5.  Mitral Valve Imaging with CT: Relationship with Transcatheter Mitral Valve Interventions.

Authors:  Jonathan R Weir-McCall; Philipp Blanke; Christopher Naoum; Victoria Delgado; Jeroen J Bax; Jonathon Leipsic
Journal:  Radiology       Date:  2018-07-31       Impact factor: 11.105

6.  The biology of aging.

Authors: 
Journal:  WHO Chron       Date:  1970-09

Review 7.  Anatomy of the mitral valve apparatus: role of 2D and 3D echocardiography.

Authors:  Jacob P Dal-Bianco; Robert A Levine
Journal:  Cardiol Clin       Date:  2013-04-15       Impact factor: 2.213

8.  Prognostic significance of mitral regurgitation and tricuspid regurgitation in patients with left ventricular systolic dysfunction.

Authors:  Todd M Koelling; Keith D Aaronson; Robert J Cody; David S Bach; William F Armstrong
Journal:  Am Heart J       Date:  2002-09       Impact factor: 4.749

9.  The direct health-care burden of valvular heart disease: evidence from US national survey data.

Authors:  Matt Moore; Jie Chen; Peter J Mallow; John A Rizzo
Journal:  Clinicoecon Outcomes Res       Date:  2016-10-18

Review 10.  A Review of the Use of Cardiac Computed Tomography for Evaluating the Mitral Valve before and after Mitral Valve Repair.

Authors:  Jong Hun Kim; Eun Young Kim; Gong Yong Jin; Jong Bum Choi
Journal:  Korean J Radiol       Date:  2017-07-17       Impact factor: 3.500

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.