
A new standardized data collection system for brain stereotactic external radiotherapy: the PRE.M.I.S.E project
Author(s) -
S. Chiesa,
Barbara Tolu,
Silvia Longo,
B. Nardiello,
Nikola Dino Capocchiano,
Federica Rea,
Luca Capone,
G. Stimato,
Roberto Gatta,
Alessandro Pacchiarotti,
Mariangela Massaccesi,
Giuseppe Minniti,
Francesco Cellini,
Andrea Damiani,
Mario Boccadoro,
Piercarlo Gentile,
Vincenzo Valentini,
Federico Bianciardi
Publication year - 2020
Publication title -
future science oa
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.825
H-Index - 23
ISSN - 2056-5623
DOI - 10.2144/fsoa-2020-0015
Subject(s) - computer science , ontology , stereotactic radiotherapy , standardization , data collection , medical physics , radiation therapy , information retrieval , medicine , radiosurgery , operating system , philosophy , statistics , mathematics , epistemology
Background: In recent years, novel radiation therapy techniques have moved clinical practice toward tailored medicine. An essential role is played by the decision support system, which requires a standardization of data collection. The Aim of the Prediction Models In Stereotactic External radiotherapy (PRE.M.I.S.E.) project is the implementation of systems that analyze heterogeneous datasets. This article presents the project design, focusing on brain stereotactic radiotherapy (SRT). Materials & methods: First, raw ontology was defined by exploiting semiformal languages (block and entity relationship diagrams) and the natural language; then, it was transposed in a Case Report Form, creating a storage system. Results: More than 130 brain SRT’s variables were selected. The dedicated software Beyond Ontology Awareness (BOA-Web) was set and data collection is ongoing. Conclusion: The PRE.M.I.S.E. project provides standardized data collection for a specific radiation therapy technique, such as SRT. Future aims are: including other centers and validating an extracranial SRT ontology.