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NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients.
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.
Afiliação
  • Borgheresi R; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy.
  • Barucci A; "Nello Carrara" Institute of Applied Physics - IFAC of the National Research Council - CNR, Florence, Italy.
  • Colantonio S; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Aghakhanyan G; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy. gayane.aghakhanyan@med.unipi.it.
  • Assante M; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Bertelli E; Department of Radiology, Careggi University Hospital, Florence, Italy.
  • Carlini E; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Carpi R; Azienda USL Toscana Centro, Florence, Italy.
  • Caudai C; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Cavallero D; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy.
  • Cioni D; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy.
  • Cirillo R; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Colcelli V; "Nello Carrara" Institute of Applied Physics - IFAC of the National Research Council - CNR, Florence, Italy.
  • Dell'Amico A; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Di Gangi D; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Erba PA; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy.
  • Faggioni L; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy.
  • Falaschi Z; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy.
  • Gabelloni M; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy.
  • Gini R; Azienda Regionale di Sanità, Florence, Italy.
  • Lelii L; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Liò P; Department of Computer Science and Technology of the University of Cambridge, Cambridge, UK.
  • Lorito A; "Nello Carrara" Institute of Applied Physics - IFAC of the National Research Council - CNR, Florence, Italy.
  • Lucarini S; Department of Radiology, Careggi University Hospital, Florence, Italy.
  • Manghi P; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Mangiacrapa F; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Marzi C; "Nello Carrara" Institute of Applied Physics - IFAC of the National Research Council - CNR, Florence, Italy.
  • Mazzei MA; Unit of Diagnostic Imaging, Department of Medical, Surgical and Neurosciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, Siena, Italy.
  • Mercatelli L; Department of Radiology, Careggi University Hospital, Florence, Italy.
  • Mirabile A; "Nello Carrara" Institute of Applied Physics - IFAC of the National Research Council - CNR, Florence, Italy.
  • Mungai F; Department of Radiology, Careggi University Hospital, Florence, Italy.
  • Miele V; Department of Radiology, Careggi University Hospital, Florence, Italy.
  • Olmastroni M; Azienda USL Toscana Centro, Florence, Italy.
  • Pagano P; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Paiar F; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy.
  • Panichi G; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Pascali MA; Institute of Information Science and Technologies - ISTI of the National Research Council - CNR, Pisa, Italy.
  • Pasquinelli F; Azienda USL Toscana Centro, Florence, Italy.
  • Shortrede JE; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy.
  • Tumminello L; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy.
  • Volterrani L; Unit of Diagnostic Imaging, Department of Medical, Surgical and Neurosciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, Siena, Italy.
  • Neri E; Academic Radiology, Department of Translational Research and of New Surgical and Medical Technology, University of Pisa, 56126, Pisa, Italy.
Eur Radiol Exp ; 6(1): 53, 2022 11 08.
Article em En | MEDLINE | ID: mdl-36344838
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Medicina de Precisão Tipo de estudo: Prognostic_studies Idioma: En Revista: Eur Radiol Exp Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Medicina de Precisão Tipo de estudo: Prognostic_studies Idioma: En Revista: Eur Radiol Exp Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália