NAVIGATOR is an Italian regional project boosting precision medicine in oncology with the aim of making it more predictive, preventive, and personalised by advancing translational research based on quantitative imaging and integrative omics analyses. The project's goal is to develop an open imaging biobank for the collection and preservation of a large amount of standardised imaging multimodal datasets, including computed tomography, magnetic resonance imaging, and positron emission tomography data, together with the corresponding patient-related and omics-related relevant information extracted from regional healthcare services using an adapted privacy-preserving model. The project is based on an open-source imaging biobank and an open-science oriented virtual research environment (VRE). Available integrative omics and multi-imaging data of three use cases (prostate cancer, rectal cancer, and gastric cancer) will be collected. All data confined in NAVIGATOR (i.e., standard and novel imaging biomarkers, non-imaging data, health agency data) will be used to create a digital patient model, to support the reliable prediction of the disease phenotype and risk stratification. The VRE that relies on a well-established infrastructure, called D4Science.org, will further provide a multiset infrastructure for processing the integrative omics data, extracting specific radiomic signatures, and for identification and testing of novel imaging biomarkers through big data analytics and artificial intelligence.

NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients

Borgheresi, Rita;Aghakhanyan, Gayane;Bertelli, Elena;Carlini, Emanuele;Caudai, Claudia;Cavallero, Diletta;Cioni, Dania;Dell'Amico, Andrea;Erba, Paola Anna;Faggioni, Lorenzo;Falaschi, Zeno;Gabelloni, Michela;Manghi, Paolo;Marzi, Chiara;Paiar, Fabiola;Panichi, Giancarlo;Pascali, Maria Antonietta;Shortrede, Jorge Eduardo;Tumminello, Lorenzo;Neri, Emanuele
2022-01-01

Abstract

NAVIGATOR is an Italian regional project boosting precision medicine in oncology with the aim of making it more predictive, preventive, and personalised by advancing translational research based on quantitative imaging and integrative omics analyses. The project's goal is to develop an open imaging biobank for the collection and preservation of a large amount of standardised imaging multimodal datasets, including computed tomography, magnetic resonance imaging, and positron emission tomography data, together with the corresponding patient-related and omics-related relevant information extracted from regional healthcare services using an adapted privacy-preserving model. The project is based on an open-source imaging biobank and an open-science oriented virtual research environment (VRE). Available integrative omics and multi-imaging data of three use cases (prostate cancer, rectal cancer, and gastric cancer) will be collected. All data confined in NAVIGATOR (i.e., standard and novel imaging biomarkers, non-imaging data, health agency data) will be used to create a digital patient model, to support the reliable prediction of the disease phenotype and risk stratification. The VRE that relies on a well-established infrastructure, called D4Science.org, will further provide a multiset infrastructure for processing the integrative omics data, extracting specific radiomic signatures, and for identification and testing of novel imaging biomarkers through big data analytics and artificial intelligence.
2022
Borgheresi, Rita; Barucci, Andrea; Colantonio, Sara; Aghakhanyan, Gayane; Assante, Massimiliano; Bertelli, Elena; Carlini, Emanuele; Carpi, Roberto; Caudai, Claudia; Cavallero, Diletta; Cioni, Dania; Cirillo, Roberto; Colcelli, Valentina; Dell'Amico, Andrea; Di Gangi, Domnico; Erba, Paola Anna; Faggioni, Lorenzo; Falaschi, Zeno; Gabelloni, Michela; Gini, Rosa; Lelii, Lucio; Liò, Pietro; Lorito, Antonio; Lucarini, Silvia; Manghi, Paolo; Mangiacrapa, Francesco; Marzi, Chiara; Mazzei, Maria Antonietta; Mercatelli, Laura; Mirabile, Antonella; Mungai, Francesco; Miele, Vittorio; Olmastroni, Maristella; Pagano, Pasquale; Paiar, Fabiola; Panichi, Giancarlo; Pascali, Maria Antonietta; Pasquinelli, Filippo; Shortrede, Jorge Eduardo; Tumminello, Lorenzo; Volterrani, Luca; Neri, Emanuele
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1156508
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 1
social impact