SENTISIM: A hybrid training platform for SLNB in local melanoma staging

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Jan 2019 Spain English Publisher:ZenodoJournal:Proceedings of Joint Workshop on New Technologies for Computer/Robot Assisted Surgery (CRAS)Funded by:EC | SARAS

Authors: Hernansanz Prats, Alberto; Pieras Morell, Tomas; Ferrandiz Pulido, Lara; Moreno Ramirez, David; Casals Gelpí, Alicia;

doi: 10.5281/zenodo.3373320 , 10.5281/zenodo.3373319

handle: 2117/173033

SENTISIM: A hybrid training platform for SLNB in local melanoma staging

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Abstract

Sentinel Lymph Node Biopsy (SLNB) has been established as an accurate procedure for regional melanoma staging. SNLB has a diagnostic significance as biopsy-based staging identifies patients with nodal metastases who may benefit from immediate complete lymphadenectomy and prolongs disease-free survival for all patients. This work presents a new training platform for SLNB in local melanoma staging, that solves the previous problemsmaintaining a realistic scenario, at the same time that measures a series of important parameters to determine the quality of the surgery.

Peer Reviewed

Country

Spain

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Keywords

Cancer cells, :Ciències de la salut::Medicina [Àrees temàtiques de la UPC], Gamma rays, :Enginyeria biomèdica [Àrees temàtiques de la UPC], Robòtica en medicina, Àrees temàtiques de la UPC::Enginyeria biomèdica, Raigs gamma, Robotics in medicine, Surgical trainer, Àrees temàtiques de la UPC::Ciències de la salut::Medicina, Cèl·lules canceroses, Surgical trainer, surgery simulator, anatomical trainer , Sentinel Lymph Node Biopsy

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