Prediction of Post-Ablation Outcome in Atrial Fibrillation Using Shape Parameterization and Partial Least Squares Regression

  • Shuman JiaEmail author
  • Claudia Camaioni
  • Marc-Michel Rohé
  • Pierre Jaïs
  • Xavier Pennec
  • Hubert Cochet
  • Maxime Sermesant
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10263)


To analyze left atrial remodeling may reveal shape features related to post-ablation outcome in atrial fibrillation, which helps in identifying suitable candidates before ablation. In this article, we propose an application of diffeomorphometry and partial least squares regression to address this problem. We computed a template of left atrial shape in control group and then encoded the shapes in atrial fibrillation with a large set of parameters representing their diffeomorphic deformation. We applied a two-step partial least squares regression. The first step eliminates the influence of atrial volume in shape parameters. The second step links deformations directly to post-ablation recurrence and derives a few principle modes of deformation, which are unrelated to volume change but are involved in post-ablation recurrence. These modes contain information on ablation success due to shape differences, resulting from remodeling or influencing ablation procedure. Some details are consistent with the most complex area of ablation in clinical practice. Finally, we compared our method against the left atrial volume index by quantifying the risk of post-ablation recurrence within six months. Our results show that we get better prediction capabilities (area under receiver operating characteristic curves \(AUC = 0.73\)) than left atrial dilation (\(AUC = 0.47\)), which outperforms the current state of the art.


Atrial fibrillation Catheter ablation Post-ablation outcome Left atrial remodeling Statistical shape analysis Partial least squares regression 



Part of the research was funded by the Agence Nationale de la Recherche (ANR)/ERA CoSysMed SysAFib and ANR MIGAT projects. The authors would like to thank Alan Garny, Côme Le Breton and Marco Lorenzi for their great support.


  1. 1.
    Zoni-Berisso, M., Lercari, F., Carazza, T., Domenicucci, S., et al.: Epidemiology of atrial fibrillation: European perspective. Clin. Epidemiol. 6, 213–220 (2014)CrossRefGoogle Scholar
  2. 2.
    Berruezo, A., Tamborero, D., Mont, L., Benito, B., Tolosana, J.M., Sitges, M., Vidal, B., Arriagada, G., Méndez, F., Matiello, M., et al.: Pre-procedural predictors of atrial fibrillation recurrence after circumferential pulmonary vein ablation. Eur. Heart J. 28(7), 836–841 (2007)CrossRefGoogle Scholar
  3. 3.
    Dagres, N., Kottkamp, H., Piorkowski, C., Weis, S., Arya, A., Sommer, P., Bode, K., Gerds-Li, J.-H., Kremastinos, D.T., Hindricks, G.: Influence of the duration of holter monitoring on the detection of arrhythmia recurrences after catheter ablation of atrial fibrillation: implications for patient follow-up. Int. J. Cardiol. 139(3), 305–306 (2010)CrossRefGoogle Scholar
  4. 4.
    Shin, S.-H., Park, M.-Y., Oh, W.-J., Hong, S.-J., Pak, H.-N., Song, W.-H., Lim, D.-S., Kim, Y.-H., Shim, W.-J.: Left atrial volume is a predictor of atrial fibrillation recurrence after catheter ablation. J. Am. Soc. Echocardiogr. 21(6), 697–702 (2008)CrossRefGoogle Scholar
  5. 5.
    Bisbal, F., Guiu, E., Calvo, N., Marin, D., Berruezo, A., Arbelo, E., Ortiz-Pérez, J., Caralt, T.M., Tolosana, J.M., Borràs, R., et al.: Left atrial sphericity: a new method to assess atrial remodeling. Impact on the outcome of atrial fibrillation ablation. J. Cardiovasc. Electrophysiol. 24(7), 752–759 (2013)CrossRefGoogle Scholar
  6. 6.
    Marrouche, N.F., Wilber, D., Hindricks, G., et al.: Association of atrial tissue fibrosis identified by delayed enhancement mri and atrial fibrillation catheter ablation: the decaaf study. JAMA 311(5), 498–506 (2014)CrossRefGoogle Scholar
  7. 7.
    Varela, M., Bisbal, F., Zacur, E., Berruezo, A., Aslanidi, O., Mont, L., Lamata, P.: Novel computational analysis of left atrial anatomy improves prediction of atrial fibrillation recurrence after ablation. Frontiers Physiol. 8, 68 (2017)CrossRefGoogle Scholar
  8. 8.
    Labarthe, S., Coudière, Y., Henry, J., Cochet, H.: A semi-automatic method to construct atrial fibre structures : a tool for atrial simulations. In: CinC 2012 - Computing in Cardiology, vol. 39, pp. 881–884 (2012)Google Scholar
  9. 9.
    Jia, S., Cadour, L., Cochet, H., Sermesant, M.: STACOM-SLAWT challenge: left atrial wall segmentation and thickness measurement using region growing and marker-controlled geodesic active contour. In: Mansi, T., McLeod, K., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds.) STACOM 2016. LNCS, vol. 10124, pp. 211–219. Springer, Cham (2017). doi: 10.1007/978-3-319-52718-5_23 CrossRefGoogle Scholar
  10. 10.
    Cochet, H., Dubois, R., Sacher, F., Derval, N., Sermesant, M., Hocini, M., Montaudon, M., Haïssaguerre, M., Laurent, F., Jaïs, P.: Cardiac arrythmias: multimodal assessment integrating body surface ecg mapping into cardiac imaging. Radiology 271(1), 239–247 (2013)CrossRefGoogle Scholar
  11. 11.
    Jamin, C., Alliez, P., Yvinec, M., Boissonnat, J.-D.: CGALmesh: a generic framework for delaunay mesh generation. ACM Trans. Math. Softw. (TOMS) 41(4), 23 (2015)MathSciNetCrossRefzbMATHGoogle Scholar
  12. 12.
    Miller, M.I., Younes, L., Trouvé, A.: Diffeomorphometry and geodesic positioning systems for human anatomy. Technology 2(01), 36–43 (2014)CrossRefGoogle Scholar
  13. 13.
    Charon, N., Trouvé, A.: The varifold representation of nonoriented shapes for diffeomorphic registration. SIAM J. Imaging Sci. 6(4), 2547–2580 (2013)MathSciNetCrossRefzbMATHGoogle Scholar
  14. 14.
    Durrleman, S., Prastawa, M., Charon, N., Korenberg, J.R., Joshi, S., Gerig, G., Trouvé, A.: Morphometry of anatomical shape complexes with dense deformations and sparse parameters. NeuroImage 101, 35–49 (2014)CrossRefGoogle Scholar
  15. 15.
    Geladi, P., Kowalski, B.R.: Partial least-squares regression: a tutorial. Anal. Chim. Acta 185, 1–17 (1986)CrossRefGoogle Scholar
  16. 16.
    Kleijn, S.A., Aly, M.F.A., Terwee, C.B., van Rossum, A.C., Kamp, O.: Three-dimensional speckle tracking echocardiography for automatic assessment of global and regional left ventricular function based on area strain. J. Am. Soc. Echocardiogr. 24(3), 314–321 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Shuman Jia
    • 1
    Email author
  • Claudia Camaioni
    • 2
  • Marc-Michel Rohé
    • 1
  • Pierre Jaïs
    • 2
  • Xavier Pennec
    • 1
  • Hubert Cochet
    • 2
  • Maxime Sermesant
    • 1
  1. 1.Université Côte d’Azur, Asclepios Research Group, InriaSophia AntipolisFrance
  2. 2.IHU Liryc, University of BordeauxPessacFrance

Personalised recommendations