Data collection for models validation: Application to prostate cancer — Clinical aspects

Author

Gabriele, D. ; Cattari, G. ; Fiorito, C. ; Carchedi, M.T. ; Garibaldi, E.

Author_Institution

Neurosci. Dept., Univ. of Torino, Turin, Italy

fYear

2014

fDate

1-4 June 2014

Firstpage

5

Lastpage

8

Abstract

In the general framework of the European ICT Project CHIC, focused on the building of a common repository for data and models in the field of human cancer, we are collecting clinical, serological and pathological data about prostate cancer for prognostic and growth modeling purposes. Two ongoing retrospective observational studies, named EUREKA-1 and EUREKA-2, focused on patients treated respectively by Radical Prostatectomy (RP) or Radical Radiotherapy (RRT) as primary treatment are presented.

Keywords

cancer; data acquisition; medical information systems; radiation therapy; surgery; EUREKA-1; EUREKA-2; European ICT Project CHIC; RP; RRT; clinical aspects; clinical data; data collection; data repository; growth modeling purposes; human cancer; model validation; pathological data; primary treatment; prognostic purposes; prostate cancer; radical prostatectomy; radical radiotherapy; retrospective observational studies; serological data; Data collection; Data models; Pathology; Prostate cancer; Tumors;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on

Conference_Location

Valencia

Type

conf

DOI

10.1109/BHI.2014.6864290

Filename

6864290