# Is the Vascular Network Discriminant Enough to Classify Renal Cell Carcinoma?

2 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, SIS - Signal, Images et Systèmes
Abstract : The renal cell carcinoma (RCC) is the most frequent type of kidney cancer (between 90% and 95%). Twelve subtypes of RCC can be distinguished, among which the clear cell carcinoma (ccRCC) and the papillary carcinoma (pRCC) are the two most common ones (75% and 10% of the cases, respectively). After resection (i.e., surgical removal), the tumor is prepared for histological examination (fixation, slicing, staining, observation with a microscope). Along with protein expression and genetic tests, the histological study allows to classify the tumor and define its grade in order to make a prognosis and to take decisions for a potential additional chemotherapy treatment. Digital histology is a recent domain, since routinely, histological slices are studied directly under the microscope. The pioneer works deal with the automatic analysis of cells. However, a crucial factor for RCC classification is the tumoral architecture relying on the structure of the vascular network. For example, coarsely speaking, ccRCC is characterized by a fishnet'' structure while the pRCC has a tree-like structure. To our knowledge, no computerized analysis of the vascular network has been proposed yet. In this context, we developed a complete pipeline to extract the vascular network of a given histological slice and compute features of the underlying graph structure. Then, we studied the potential of such a feature-based approach in classifying a tumor into ccRCC or pRCC. Preliminary results on patient data are encouraging.
Type de document :
Communication dans un congrès
International Workshop on Content-based Multimedia Indexing (CBMI), Jun 2016, Bucarest, Romania. International Workshop on Content-based Multimedia Indexing (CBMI), <10.1109/CBMI.2016.7500255>
Domaine :

https://hal.archives-ouvertes.fr/hal-01344247
Contributeur : Eric Debreuve <>
Soumis le : mardi 19 juillet 2016 - 17:09:30
Dernière modification le : mardi 26 juillet 2016 - 10:50:29

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### Citation

Alexis Zubiolo, Eric Debreuve, Damien Ambrosetti, Philippe Pognonec, Xavier Descombes. Is the Vascular Network Discriminant Enough to Classify Renal Cell Carcinoma?. International Workshop on Content-based Multimedia Indexing (CBMI), Jun 2016, Bucarest, Romania. International Workshop on Content-based Multimedia Indexing (CBMI), <10.1109/CBMI.2016.7500255>. <hal-01344247>

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