research product . Other ORP type . 2021

HEad and neCK TumOR segmentation and outcome prediction in PET/CT images

Andrearczyk, Vincent; Oreiller, Valentin; Vallières, Martin; Hatt, Mathieu; Rest, Catherine Cheze-Le; Visvikis, Dimitris; Jreige, Mario; Elhalawani, Hesham; Boughdad, Sarah; Prior, John O.; ...
Open Access
  • Published: 02 Mar 2021
  • Publisher: Zenodo
Head and Neck (H&N) cancers are among the most common cancers worldwide (5th leading cancer by incidence) (Parkin et al. 2005). Radiotherapy combined with cetuximab has been established as standard treatment (Bonner et al. 2010). However, locoregional failures remain a major challenge and occur in up to 40% of patients in the first two years after the treatment (Chajon et al. 2013). Recently, several radiomics studies based on Positron Emission Tomography (PET) and Computed Tomography (CT) imaging were proposed to better identify patients with a worse prognosis in a non-invasive fashion and by exploiting already available images such as these acquired for di...
free text keywords: Head and Neck cancer, automatic segmentation, radiomics, PET/CT, multimodal
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