TY - JOUR
T1 - ENT COBRA (Consortium for Brachytherapy Data Analysis): Interdisciplinary standardized data collection system for head and neck patients treated with interventional radiotherapy (brachytherapy)
AU - Tagliaferri, Luca
AU - Kovács, György
AU - Autorino, Rosa
AU - Budrukkar, Ashwini
AU - Guinot, Jose Luis
AU - Hildebrand, Guido
AU - Johansson, Bengt
AU - Monge, Rafael Martnez
AU - Meyer, Jens E.
AU - Niehoff, Peter
AU - Rovirosa, Angeles
AU - Takàcsi-Nagy, Zoltàn
AU - Dinapoli, Nicola
AU - Lanzotti, Vito
AU - Damiani, Andrea
AU - Soror, Tamer
AU - Valentini, Vincenzo
PY - 2016
Y1 - 2016
N2 - Purpose: Aim of the COBRA (Consortium for Brachytherapy Data Analysis) project is to create a multicenter group (consortium) and a web-based system for standardized data collection. Material and methods: GEC-ESTRO (Groupe Européen de Curiethérapie - European Society for Radiotherapy & Oncology) Head and Neck (H&N) Working Group participated in the project and in the implementation of the consortium agreement, the ontology (data-set) and the necessary COBRA software services as well as the peer reviewing of the general anatomic site-specific COBRA protocol. The ontology was defined by a multicenter task-group. Results: Eleven centers from 6 countries signed an agreement and the consortium approved the ontology. We identified 3 tiers for the data set: Registry (epidemiology analysis), Procedures (prediction models and DSS), and Research (radiomics). The COBRA-Storage System (C-SS) is not time-consuming as, thanks to the use of "brokers", data can be extracted directly from the single center's storage systems through a connection with "structured query language database" (SQL-DB), Microsoft Access®, FileMaker Pro®, or Microsoft Excel®. The system is also structured to perform automatic archiving directly from the treatment planning system or afterloading machine. The architecture is based on the concept of "on-purpose data projection". The C-SS architecture is privacy protecting because it will never make visible data that could identify an individual patient. This C-SS can also benefit from the so called "distributed learning" approaches, in which data never leave the collecting institution, while learning algorithms and proposed predictive models are commonly shared. Conclusions: Setting up a consortium is a feasible and practicable tool in the creation of an international and multi-system data sharing system. COBRA C-SS seems to be well accepted by all involved parties, primarily because it does not influence the center's own data storing technologies, procedures, and habits. Furthermore, the method preserves the privacy of all patients.
AB - Purpose: Aim of the COBRA (Consortium for Brachytherapy Data Analysis) project is to create a multicenter group (consortium) and a web-based system for standardized data collection. Material and methods: GEC-ESTRO (Groupe Européen de Curiethérapie - European Society for Radiotherapy & Oncology) Head and Neck (H&N) Working Group participated in the project and in the implementation of the consortium agreement, the ontology (data-set) and the necessary COBRA software services as well as the peer reviewing of the general anatomic site-specific COBRA protocol. The ontology was defined by a multicenter task-group. Results: Eleven centers from 6 countries signed an agreement and the consortium approved the ontology. We identified 3 tiers for the data set: Registry (epidemiology analysis), Procedures (prediction models and DSS), and Research (radiomics). The COBRA-Storage System (C-SS) is not time-consuming as, thanks to the use of "brokers", data can be extracted directly from the single center's storage systems through a connection with "structured query language database" (SQL-DB), Microsoft Access®, FileMaker Pro®, or Microsoft Excel®. The system is also structured to perform automatic archiving directly from the treatment planning system or afterloading machine. The architecture is based on the concept of "on-purpose data projection". The C-SS architecture is privacy protecting because it will never make visible data that could identify an individual patient. This C-SS can also benefit from the so called "distributed learning" approaches, in which data never leave the collecting institution, while learning algorithms and proposed predictive models are commonly shared. Conclusions: Setting up a consortium is a feasible and practicable tool in the creation of an international and multi-system data sharing system. COBRA C-SS seems to be well accepted by all involved parties, primarily because it does not influence the center's own data storing technologies, procedures, and habits. Furthermore, the method preserves the privacy of all patients.
KW - Consortium
KW - Data Collection
KW - ENT-COBRA
KW - Head and neck cancer.
KW - Oncology
KW - Radiology, Nuclear Medicine and Imaging
KW - Consortium
KW - Data Collection
KW - ENT-COBRA
KW - Head and neck cancer.
KW - Oncology
KW - Radiology, Nuclear Medicine and Imaging
UR - http://hdl.handle.net/10807/92477
UR - http://www.termedia.pl/journal/-54/pdf-28239-10?filename=ent%20cobra.pdf
U2 - 10.5114/jcb.2016.61958
DO - 10.5114/jcb.2016.61958
M3 - Article
SN - 1689-832X
VL - 8
SP - 336
EP - 343
JO - Journal of Contemporary Brachytherapy
JF - Journal of Contemporary Brachytherapy
ER -