Ultrasound Plaque Enhanced Activity Index for Predicting Neurological Symptoms

  • José Seabra
  • Luís Mendes Pedro
  • José Fernandes e Fernandes
  • João Sanches
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6669)


This paper aims at developing an ultrasound-based diagnostic measure which quantifies plaque activity, that is, the likelihood of the asymptomatic lesion to produce neurological symptoms. The method is rooted on the identification of an “active” plaque profile containing the most relevant ultrasound parameters associated with symptoms. This information is used to build an Enhanced Activity Index (EAI) which considers the conditional probabilities of each relevant feature belonging to either symptomatic or asymptomatic groups. This measure was evaluated on a longitudinal study of 112 asymptomatic plaques and shows high diagnostic power. In particular, EAI provides correct identification of all plaques that developed symptoms while giving a small number of false positives. Results suggest that EAI could have a significant impact on stroke prediction and treatment planning.


Ultrasound Carotid plaque Enhanced Activity Index Neurological symptoms 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Christodoulou, C., Pattichis, C., Pantziaris, M., Nicolaides, A.: Texture-based classification of atherosclerotic carotid plaques. IEEE Transactions on Medical Imaging 22(7) (2003)Google Scholar
  2. 2.
    ECST Collaborative Group: Randomised trial of endarterectomy for recently symptomatic carotid stenosis: Final results of the MRC ECST. Lancet 351, 1379–1387 (1998)CrossRefGoogle Scholar
  3. 3.
    Elatrozy, T., Nicolaides, A., Tegos, T., Griffin, M.: The objective characterization of ultrasonic carotid plaque features. Eur. J. Vasc. Endovasc. Surg. 16, 223–230 (1998)CrossRefGoogle Scholar
  4. 4.
    NASCET Collaborators: Benefit of carotid endarterectomy in patients with symptomatic moderate or severe stenosis. New England Journal of Medicine 339(20), 1445–1453 (1998)Google Scholar
  5. 5.
    Nicolaides, A., Kakkos, S., Griffin, M., Sabetai, M., Dhanjil, S., et al.: Severity of Asymptomatic Carotid Stenosis and Risk of Ipsilateral Hemispheric Ischaemic Events: Results from the ACSRS Study. European Journal of Vascular & Endovascular Surgery 30(3), 275–284 (2005)CrossRefGoogle Scholar
  6. 6.
    Pedro, L., Fernandes, J., Pedro, M., Gonçalves, I., Dias, N.: Ultrasonographic risk score of carotid plaques. European Journal of Vascular and Endovascular Surgery 24, 492–498 (2002)CrossRefGoogle Scholar
  7. 7.
    Seabra, J., Pedro, L., Fernandes, J., Sanches, J.: Ultrasonographic Characterization and Identification of Symptomatic Carotid Plaques. In: Proceedings of IEEE International Conference on Engineering in Medicine and Biology. IEEE EMBS, Buenos Aires (2010)Google Scholar
  8. 8.
    Seabra, J., Sanches, J., Ciompi, F., Radeva, P.: Ultrasonographic plaque characterization using a rayleigh mixture model. In: Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 1–4. IEEE Engineering in Medicine and Biology Society, Rotterdam (2010)Google Scholar
  9. 9.
    Thijssen, J.: Ultrasonic speckle formation, analysis and processing applied to tissue characterization. Pattern Recognition Letters 24(4-5) (February 2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • José Seabra
    • 1
  • Luís Mendes Pedro
    • 2
  • José Fernandes e Fernandes
    • 2
  • João Sanches
    • 1
  1. 1.Instituto de Sistemas e RobóticaInstituto Superior TécnicoLisboaPortugal
  2. 2.Instituto Cardiovascular de LisboaFaculdade de Medicina de LisboaLisboaPortugal

Personalised recommendations