Automatic Sentinel Lymph Node Localization in Head and Neck Cancer Using a Coupled Shape Model Algorithm

  • Florian Jung
  • Biebl-Rydlo Medea
  • Jean-François Daisne
  • Stefan Wesarg
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10550)

Abstract

The localization and analysis of the sentinel lymph node for patients diagnosed with cancer, has significant influence on the prognosis, outcome and treatment of the disease. We present a fully automatic approach to localize the sentinel lymph node and additional active nodes and determine their lymph node level on SPECT-CT data. This is a crucial prerequisite for the planning of radiation therapy or a surgical neck dissection. Our approach was evaluated on 17 lymph nodes. The detection rate of the lymph nodes was 94%; and 88% of the lymph nodes were correctly assigned to their corresponding lymph node level. The proposed algorithm targets a very important topic in clinical practice. The first results are already very promising. The next step has to be the evaluation on a larger data set.

Keywords

SPECT imaging Sentinel lymph node detection Lymph node level classification 

References

  1. 1.
    Agrawal, A., Civantos, F.J., Brumund, K.T., Chepeha, D.B., Hall, N.C., Carroll, W.R., Smith, R.B., Zitsch, R.P., Lee, W.T., Shnayder, Y., Cognetti, D.M., Pitman, K.T., King, D.W., Christman, L.A., Lai, S.Y.: [99mtc]tilmanocept accurately detects sentinel lymph nodes and predicts node pathology status in patients with oral squamous cell carcinoma of the head and neck: Results of a phase iii multi-institutional trial. Ann. Surg. Oncol. 22(11), 3708–3715 (2015). doi:10.1245/s10434-015-4382-x CrossRefGoogle Scholar
  2. 2.
    Atula, T., Shoaib, T., Ross, G.L., Gray, H.W., Soutar, D.S.: How many sentinel nodes should be harvested in oral squamous cell carcinoma? Eur. Arch. Oto-Rhino-Laryngol. 265(1), 19–23 (2008). http://dx.doi.org/10.1007/s00405-007-0548-x CrossRefGoogle Scholar
  3. 3.
    Daisne, J.F., Installé, J., Bihin, B., Laloux, M., Vander Borght, T., Mathieu, I., Lawson, G.: Spect/ct lymphoscintigraphy of sentinel node(s) for superselective prophylactic irradiation of the neck in cn0 head and neck cancer patients: a prospective phase i feasibility study. Radiat. Oncol. 9(1), 121 (2014). http://dx.doi.org/10.1186/1748-717X-9-121 CrossRefGoogle Scholar
  4. 4.
    Dargent, D., Martin, X., Mathevet, P.: Laparoscopic assessment of the sentinel lymph node in early stage cervical cancer. Gynecol. Oncol. 79(3), 411–415 (2000). http://www.sciencedirect.com/science/article/pii/S0090825800959997 CrossRefGoogle Scholar
  5. 5.
    D’Cruz, A.K., Vaish, R., Kapre, N., Dandekar, M., Gupta, S., Hawaldar, R., Agarwal, J.P., Pantvaidya, G., Chaukar, D., Deshmukh, A., Kane, S., Arya, S., Ghosh- Laskar, S., Chaturvedi, P., Pai, P., Nair, S., Nair, D., Badwe, R.: Elective versus therapeutic neck dissection in node-negative oral cancer. New Engl. J. Med. 373(6), 521–529 (2015). doi:10.1056/NEJMoa1506007, pMID: 26027881 CrossRefGoogle Scholar
  6. 6.
    Jung, F., Steger, S., Knapp, O., Noll, M., Wesarg, S.: COSMO - coupled shape model for radiation therapy planning of head and neck cancer. In: Linguraru, M.G., Oyarzun Laura, C., Shekhar, R., Wesarg, S., González Ballester, M.Á., Drechsler, K., Sato, Y., Erdt, M. (eds.) CLIP 2014. LNCS, vol. 8680, pp. 25–32. Springer, Cham (2014). doi:10.1007/978-3-319-13909-8_4 Google Scholar
  7. 7.
    Lehmann, G.: Label object representation and manipulation with itk, August 2007. http://hdl.handle.net/1926/584
  8. 8.
    Patel, S.G., Shah, J.P.: TNM staging of cancers of the head and neck: striving for uniformity among diversity. CA: A Cancer J. Clin. 55(4), 242–258 (2005). http://dx.doi.org/10.3322/canjclin.55.4.242 Google Scholar
  9. 9.
    Steger, S., Jung, F., Wesarg, S.: Personalized articulated atlas with a dynamic adaptation strategy for bone segmentation in CT or CT/MR head and neck images (2014)Google Scholar
  10. 10.
    Steger, S., Kirschner, M., Wesarg, S.: Automated skeleton based multi-modal deformable registration of head & neck datasets. Med. Image Comput. Comput. Assist. Interv. MICCAI 2012, 66–73 (2012)Google Scholar
  11. 11.
    Torre, L.A., Bray, F., Siegel, R.L., Ferlay, J., Lortet-Tieulent, J., Jemal, A.: Global cancer statistics, 2012. CA Cancer J. Clin. 65(2), 87–108 (2015). http://dx.doi.org/10.3322/caac.21262 CrossRefGoogle Scholar
  12. 12.
    Yuen, A.P.W., Wei, W.I., Wong, Y.M., Tang, K.C.: Elective neck dissection versus observation in the treatment of early oral tongue carcinoma. Head Neck 19(7), 583–588 (1997). http://dx.doi.org/10.1002/(SICI)1097-0347(199710)19:7<583::AID-HED4>3.0.CO;2-3

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Florian Jung
    • 1
    • 2
  • Biebl-Rydlo Medea
    • 1
  • Jean-François Daisne
    • 3
  • Stefan Wesarg
    • 1
  1. 1.Fraunhofer Institut Für Graphische DatenverarbeitungDarmstadtGermany
  2. 2.GRIS, Technische Universität DarmstadtDarmstadtGermany
  3. 3.Radiation Oncology DepartmentUniversité Catholique de Louvain, CHU-UCL-NamurNamurBelgium

Personalised recommendations