Literature DB >> 26661528

Efficacy and Accuracy of Novel Automated Mitral Valve Quantification: Three-Dimensional Transesophageal Echocardiographic Study.

Nobuyuki Kagiyama1, Misako Toki2, Masahiko Hara3, Shuichiro Fukuda2, Shingo Aritaka2, Tomonori Miki1, Minako Ohara1, Akihiro Hayashida1, Atsushi Hirohata1, Keizo Yamamoto1, Kiyoshi Yoshida1.   

Abstract

BACKGROUND: Previous studies indicated that the three-dimensional features of the mitral valve (MV) have a significant impact on MV disease. However, quantification of MV with manual tracing software was too time-consuming for routine clinical practice. This study was performed to investigate the efficacy and accuracy of MV quantification with a novel highly automated commercially available software package developed for this purpose.
METHODS: Using the manual tracing and automated package, two expert sonographers and one cardiologist individually analyzed three-dimensional datasets acquired with transesophageal echocardiography from 74 patients (15 with functional mitral regurgitation, 32 with MV prolapse, and 27 normal subjects) retrospectively. Time for analysis and inter-observer agreement were compared between the two methods, and agreement of measurements was analyzed using Cronbach's α.
RESULTS: Time for analysis using the automated package was significantly shorter than manual tracing (whole cohort, 260 ± 65 vs. 381 ± 68 seconds, P < 0.001; functional mitral regurgitation, 234 ± 42 vs. 378 ± 64 seconds, P < 0.001; MV prolapse, 293 ± 69 vs. 407 ± 67 seconds, P < 0.001; normal controls, 235 ± 52 vs. 351 ± 60 seconds, P < 0.001). There was good agreement among all three observers using both methods, and measurements with the automated package agreed well with the manual tracing values.
CONCLUSIONS: The novel automated software package reduced time for quantification of MV with similar accuracy compared to the manual method. Automated quantification is useful and may be a key to widespread adoption of three-dimensional quantification in clinical practice.
© 2015, Wiley Periodicals, Inc.

Entities:  

Keywords:  mitral regurgitation; mitral valve; three-dimensional transesophageal echocardiography; transesophageal echocardiography; valvular regurgitation

Mesh:

Year:  2015        PMID: 26661528     DOI: 10.1111/echo.13135

Source DB:  PubMed          Journal:  Echocardiography        ISSN: 0742-2822            Impact factor:   1.724


  7 in total

1.  [Evaluation of mitral regurgitation : How much quantification do we need?]

Authors:  F Kreidel; T Ruf; A Tamm; M Geyer; T Emrich; R S von Bardeleben
Journal:  Herz       Date:  2019-11       Impact factor: 1.443

Review 2.  Echocardiographic assessment of mitral regurgitation.

Authors:  Nobuyuki Kagiyama; Sirish Shrestha
Journal:  J Med Ultrason (2001)       Date:  2019-08-24       Impact factor: 1.314

3.  Artificial intelligence and automation in valvular heart diseases.

Authors:  Qiang Long; Xiaofeng Ye; Qiang Zhao
Journal:  Cardiol J       Date:  2020-06-22       Impact factor: 2.737

Review 4.  Artificial Intelligence in Cardiovascular Medicine: Current Insights and Future Prospects.

Authors:  Ikram U Haq; Karanjot Chhatwal; Krishna Sanaka; Bo Xu
Journal:  Vasc Health Risk Manag       Date:  2022-07-12

Review 5.  Current Clinical Applications of Three-Dimensional Echocardiography: When the Technique Makes the Difference.

Authors:  Elena Surkova; Denisa Muraru; Patrizia Aruta; Gabriella Romeo; Jurate Bidviene; Diana Cherata; Luigi P Badano
Journal:  Curr Cardiol Rep       Date:  2016-11       Impact factor: 2.931

6.  Residual Mitral Regurgitation After Repair for Posterior Leaflet Prolapse-Importance of Preoperative Anterior Leaflet Tethering.

Authors:  Taichi Sakaguchi; Nobuyuki Kagiyama; Misako Toki; Arudo Hiraoka; Akihiro Hayashida; Toshinori Totsugawa; Kentaro Tamura; Genta Chikazawa; Hidenori Yoshitaka; Kiyoshi Yoshida
Journal:  J Am Heart Assoc       Date:  2018-06-01       Impact factor: 5.501

Review 7.  Application of mobile health, telemedicine and artificial intelligence to echocardiography.

Authors:  Karthik Seetharam; Nobuyuki Kagiyama; Partho P Sengupta
Journal:  Echo Res Pract       Date:  2019-06-01
  7 in total

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