URV's Author/s: | Arenas Prat, Meritxell |
Author, as appears in the article.: | Lancellotta, Valentina; Luis Guinot, Jose; Fionda, Bruno; Rembielak, Agata; Di Stefani, Alessandro; Gentileschi, Stefano; Federico, Francesco; Rossi, Ernesto; Guix, Benjamin; Chyrek, Artur Jan; Arenas, Meritxell; Rodriguez Villalba, Silvia; Colloca, Giuseppe Ferdinando; Dinapoli, Nicola; Masciocchi, Carlotta; Lenkowicz, J.; Capocchiano, Nicola Dino; Damiani, Andrea; Valentini, Vincenzo; Kovacs, Gyorgy; Tagliaferri, Luca; |
Author's mail: | meritxell.arenas@urv.cat |
Author identifier: | 0000-0003-0815-2570 |
Journal publication year: | 2020 |
Publication Type: | Journal Publications |
APA: | Lancellotta, Valentina; Luis Guinot, Jose; Fionda, Bruno; Rembielak, Agata; Di Stefani, Alessandro; Gentileschi, Stefano; Federico, Francesco; Rossi, (2020). SKIN-COBRA (Consortium for Brachytherapy data Analysis) ontology: The first step towards interdisciplinary standardized data collection for personalized oncology in skin cancer. Journal Of Contemporary Brachytherapy, 12(2), 105-110. DOI: 10.5114/jcb.2020.94579 |
Papper original source: | Journal Of Contemporary Brachytherapy. 12 (2): 105-110 |
Abstract: | Purpose: The primary objective of the SKIN-COBRA (Consortium for Brachytherapy data Analysis) ontology is to define a specific terminological system to standardize data collection for non-melanoma skin cancer patients treated with brachytherapy (BT, interventional radiotherapy). Through ontological characterization of information, it is possible to find, isolate, organize, and integrate its meaning.
Material and methods: SKIN-COBRA is a standardized data collection consortium for non-melanoma skin patients treated with BT, including 8 cancer centers. Its ontology was firstly defined by a multicentric and multidisciplinary working group and evaluated by the consortium, followed by a multi-professional technical commission involving a mathematician, an engineer, a physician with experience in data storage, a programmer, and a software expert.
Results: Two hundred and ninety variables were defined in 10 input forms. There are 3 levels, with each offering a specific type of analysis: 1. Registry level (epidemiology analysis); 2. Procedures level (standard oncology analysis); 3. Research level (radiomics analysis). The ontology was approved by the technical commission and consortium, and an ad-hoc software system was defined to be implemented in the SKIN-COBRA consortium.
Conclusions: Large databases are natural extension of traditional statistical approaches, a valuable and increasingly necessary tool for modern healthcare system. Future analysis of the collected multinational and multicenter data will show whether the use of the system can produce high-quality evidence to support multidisciplinary management of non-melanoma skin cancer and utilizing this information for personalized treatment decisions. |
Article's DOI: | 10.5114/jcb.2020.94579 |
Link to the original source: | https://www.termedia.pl/SKIN-COBRA-Consortium-for-Brachytherapy-data-Analysis-ontology-The-first-step-towards-interdisciplinary-standardized-data-collection-for-personalized-oncology-in-skin-cancer,54,40408,1,1.html |
Papper version: | info:eu-repo/semantics/publishedVersion |
licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
Department: | Ciències Mèdiques Bàsiques |
Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
Thematic Areas: | Radiology, nuclear medicine and imaging Radiology, nuclear medicine & medical imaging Oncology Medicina ii Medicina i |
Keywords: | System Skin cancer Recommendations Radiomics Physics Ontology Melanoma Estro Brachytherapy |
Entity: | Universitat Rovira i Virgili |
Record's date: | 2023-02-19 |
Description: | Purpose: The primary objective of the SKIN-COBRA (Consortium for Brachytherapy data Analysis) ontology is to define a specific terminological system to standardize data collection for non-melanoma skin cancer patients treated with brachytherapy (BT, interventional radiotherapy). Through ontological characterization of information, it is possible to find, isolate, organize, and integrate its meaning.
Material and methods: SKIN-COBRA is a standardized data collection consortium for non-melanoma skin patients treated with BT, including 8 cancer centers. Its ontology was firstly defined by a multicentric and multidisciplinary working group and evaluated by the consortium, followed by a multi-professional technical commission involving a mathematician, an engineer, a physician with experience in data storage, a programmer, and a software expert.
Results: Two hundred and ninety variables were defined in 10 input forms. There are 3 levels, with each offering a specific type of analysis: 1. Registry level (epidemiology analysis); 2. Procedures level (standard oncology analysis); 3. Research level (radiomics analysis). The ontology was approved by the technical commission and consortium, and an ad-hoc software system was defined to be implemented in the SKIN-COBRA consortium.
Conclusions: Large databases are natural extension of traditional statistical approaches, a valuable and increasingly necessary tool for modern healthcare system. Future analysis of the collected multinational and multicenter data will show whether the use of the system can produce high-quality evidence to support multidisciplinary management of non-melanoma skin cancer and utilizing this information for personalized treatment decisions. |
Type: | Journal Publications |
Contributor: | Universitat Rovira i Virgili |
Títol: | SKIN-COBRA (Consortium for Brachytherapy data Analysis) ontology: The first step towards interdisciplinary standardized data collection for personalized oncology in skin cancer |
Subject: | Oncology,Radiology, Nuclear Medicine & Medical Imaging,Radiology, Nuclear Medicine and Imaging System Skin cancer Recommendations Radiomics Physics Ontology Melanoma Estro Brachytherapy Radiology, nuclear medicine and imaging Radiology, nuclear medicine & medical imaging Oncology Medicina ii Medicina i |
Date: | 2020 |
Creator: | Lancellotta, Valentina Luis Guinot, Jose Fionda, Bruno Rembielak, Agata Di Stefani, Alessandro Gentileschi, Stefano Federico, Francesco Rossi, Ernesto Guix, Benjamin Chyrek, Artur Jan Arenas, Meritxell Rodriguez Villalba, Silvia Colloca, Giuseppe Ferdinando Dinapoli, Nicola Masciocchi, Carlotta Lenkowicz, J. Capocchiano, Nicola Dino Damiani, Andrea Valentini, Vincenzo Kovacs, Gyorgy Tagliaferri, Luca |
Rights: | info:eu-repo/semantics/openAccess |
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