A novel fully automated method for mitral regurgitant orifice area quantification

INTERNATIONAL JOURNAL OF CARDIOLOGY

卷:166

Article

Moraldo, Michela¹  Bergamini, Corinna²  Malaweera, Anura S. N.¹  Dhutia, Niti M.¹  Pabari, Punam A.¹  Willson, Keith¹  Baruah, Resham¹  Manisty, Charlotte¹  Davies, Justin E.¹  Xu, Xiao Y.³  Hughes, Alun D.¹  Francis, Darrel P.¹ 

[1] Univ London Imperial Coll Sci Technol & Med, Natl Heart & Lung Inst, Int Ctr Circulatory Hlth, London W21LA, England

[2] Univ Verona, Div Cardiol, Dept Med, Osped Civile Maggiore, I-37126 Verona, Italy

[3] Univ London Imperial Coll Sci Technol & Med, Dept Chem Engn, London SW7 2AZ, England

关键词: Mitral valve regurgitation;    Echocardiography;    Blood flow velocity;    Automated analysis;   

DOI  :  10.1016/j.ijcard.2011.11.104

来源: Elsevier

【 摘 要 】

Background: Effective regurgitant orifice area (EROA) in mitral regurgitation (MR) is difficult to quantify. Clinically it is measured using the proximal isovelocity surface area (PISA) method, which is intrinsically not automatable, because it requires the operator to manually identify the mitral valve orifice. We introduce a new fully automated algorithm, (AQURO), which calculates EROA directly from echocardiographic colour M-mode data, without requiring operator input. Methods: Multiple PISA measurements were compared to multiple AQURO measurements in twenty patients with MR. For PISA analysis, three mutually blinded observers measured EROA from the four stored video loops. For AQURO analysis, the software automatically processed the colour M-mode datasets and analysed the velocity field in the flow-convergence zone to extract EROA directly without any requirement for manual radius measurement. Results: Reproducibility, measured by intraclass correlation (ICC), for PISA was 0.80, 0.83 and 0.83 (for 3 observers respectively). Reproducibility for AQURO was 0.97. Agreement between replicate measurements calculated using Bland-Altman standard deviation of difference (SDD) was 21,17 and 17mm(2)for the three respective observers viewing independent video loops using PISA. Agreement between replicate measurements for AQURO was 6, 5 and 7mm(2)for automated analysis of the three pairs of datasets. Conclusions: By eliminating the need to identify the orifice location, AQURO avoids an important source of measurement variability. Compared with PISA, it also reduces the analysis time allowing analysis and averaging of data from significantly more beats, improving the consistency of EROA quantification. AQURO, being fully automated, is a simple, effective enhancement for EROA quantification using standard echocardiographic equipment. (C) 2011 Elsevier Ireland Ltd. All rights reserved.

【 授权许可】

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