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. 2017 Feb 14;8:68. doi: 10.3389/fphys.2017.00068

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Copyright © 2017 Varela, Bisbal, Zacur, Berruezo, Aslanidi, Mont and Lamata.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Discrimination of recurrent and non-recurrent cases using sphericity, vertical asymmetry, and the LDA combination of the two at 12 and 24 months post-ablation. (A,B) Scatter plots of patient data in the sphericity-vertical asymmetry space, showing the optimal separation line between recurrent and non-recurrent cases as computed using LDA. The position of censored (lost follow-up) data is also shown. (C,D) Histograms and corresponding Gaussian distribution fits for recurrent and non-recurrent populations according to sphericity (top panel), vertical asymmetry (middle panel), and the LDA combination of the two (bottom panel). The left/right panels depict results at 12/24-months post-RFCA.