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FUTURE INFORMATION SHARINGIN HADRON THERAPY
Daniel Abler, Vassiliki Kanellopoulos, Faustin Laurentiu RomanCERN, Univ. of Oxford, Univ. of Surrey, IFIC
[name].[surname]@cern.ch
The data integration capabilities of HISP will enable researchers from different domains to search
across a large quantity of disease and treatment related data. Semantic annotation ensures that the
original meaning of the data is preserved and the view on the data can be adjusted to the user's domain.
The data sharing capabilities of HISP will allow clinicians to exchange patient data in a standardised
and secure way. This will facilitate cross-border patient referral in a multi-lingual environment with
different legal frameworks.
RTDB extends HISP by providing a prediction model for treatment outcomes in function of the
patients' characteristics (clinical, morphological, genetic, molecular data) and the treatment modalities.
The results of RTDB will yield indication for hadron therapy of rare tumours. This may serve as a
treatment decision support system in the future.
GridMiddleware
HIS
PACS
Tissue
Physics
PARTNER Grid testbed:
• Hadron Therapy Information Objective Establish a prototype, collaborative
grid environment around the emerging
hadron therapy centres in Europe as a first step to
connect HIT, CNAO, MedAustron and ETOILE.
Data
stored across Europe
In various independent repositories
from multiple disciplines with specific terminologes
Semantic annotation
GRID data access
services
with different ethical and legal requirements
Security framework
Inte
rop
erab
ility
Stan
dar
ds
&
Map
pin
gs
DNA
Sharing Platform (HISP)
• Rare Tumour Database (RTDB)
This research project has been supported by a Marie Curie Early Initial Training Network Fellowship of the European Community's Seventh Framework Programme under contract number (PITN-GA-2008-215840-PARTNER). Webpage: http://partner.web.cern.ch
Users
from multiple disciplines with specific views on data
with different level of technical knowledge
across Europe
GRID Portals
and APIs
Domain Ontologies
with different privilegesSecurity
framework
HISP supports
translational research
and clinical practice
Rare Tumour Database (RTDB):
Patient Referral:
Research:
Future information sharing in Hadron Therapy
Daniel Abler1,2 , Vassiliki Kanellopoulos1,3, Faustin Laurentiu Roman1,4 1CERN,
2University of Oxford,
3University of Surrey,
4IFIC
e-mail: [email protected] Sharing information is a key aspect for the delivery of efficient health care and the gateway to new knowledge about disease and its treatment. At present there is no platform connecting people, information and research across the hadron therapy community in Europe. Within the PARTNER FP7 project we will build a Hadron Therapy Information Sharing Platform (HISP) and a rare tumour database (RTDB) using collaborative grid technology. The HISP conceptual architecture consists of a common access point to heterogeneous data sources using secure grid services. RTDB will access HISP to provide a view on rare tumours. HISP will give researchers and clinicians a tool for medical data sharing, clinical analyses and epidemiological studies while RTDB will support modeling of cancer treatment outcome and indications for hadron therapy. Our next steps are basic grid components’ installation within the PartnerVO.eu virtual organization (VO) and defining the security policies, as well as tools for semantic data integration.
About PARTNER:
The Particle Training Network for European Radiotherapy (PARTNER, http://partner.web.cern.ch) is an interdisciplinary, multinational initiative which had been established in response to the critical need for reinforcing research in hadron therapy and the training of professionals in this emerging field. Work Packages 22 and 23 of PARTNER address the need for an ITC infrastructure facilitating information sharing and processing among the emerging hadron therapy centres in Europe. Vassiliki Kanellopoulos, Faustin Roman and Daniel Abler work as Early Stage Researchers at CERN in close collaboration with the Universities of Surrey, Valencia and Oxford, respectively.