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Automatic sentinel lymph node localization in head and neck cancer using a coupled shape model algorithm

: Jung, Florian; Biebl-Rydlo, Medea; Daisne, Jean-François; Wesarg, Stefan


Cardoso, Jorge M. (Ed.):
Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures : 4th International Workshop, CARE 2017 and 6th International Workshop, CLIP 2017. Held in Conjunction with MICCAI 2017; Quebec City, QC, Canada, September 12, 2017; Proceedings
Cham: Springer International Publishing, 2017 (Lecture Notes in Computer Science 10550)
ISBN: 978-3-319-67542-8 (Print)
ISBN: 978-3-319-67543-5 (Online)
International Workshop on Computer Assisted and Robotic Endoscopy (CARE) <4, 2017, Québec>
International Workshop on Clinical Image-Based Procedures (CLIP) <6, 2017, Québec>
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) <20, 2017, Québec>
Fraunhofer IGD ()
medical application; medical diagnosis; oral cancer; Guiding Theme: Individual Health; Research Area: Human computer interaction (HCI)

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.