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Efficacy and Accuracy of Novel Automated Mitral Valve Quantification: Three‐Dimensional Transesophageal Echocardiographic Study
Author(s) -
Kagiyama Nobuyuki,
Toki Misako,
Hara Masahiko,
Fukuda Shuichiro,
Aritaka Shingo,
Miki Tomonori,
Ohara Minako,
Hayashida Akihiro,
Hirohata Atsushi,
Yamamoto Keizo,
Yoshida Kiyoshi
Publication year - 2016
Publication title -
echocardiography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 62
eISSN - 1540-8175
pISSN - 0742-2822
DOI - 10.1111/echo.13135
Subject(s) - medicine , mitral regurgitation , automated method , mitral valve , software package , tracing , radiology , mitral valve prolapse , cardiology , nuclear medicine , software , computer science , artificial intelligence , programming language , operating system
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.