一种用于脑部立体定向外照射放疗的新型标准化数据收集系统：PRE.M.I.S.E项目。
A new standardized data collection system for brain stereotactic external radiotherapy: the PRE.M.I.S.E project.
作者信息
Chiesa Silvia, Tolu Barbara, Longo Silvia, Nardiello Barbara, Capocchiano Nikola Dino, Rea Federica, Capone Luca, Stimato Gerardina, Gatta Roberto, Pacchiarotti Alessandro, Massaccesi Mariangela, Minniti Giuseppe, Cellini Francesco, Damiani Andrea, Balducci Mario, Gentile Piercarlo, Valentini Vincenzo, Bianciardi Federico
机构信息
UOC di Radioterapia Oncologica, Dipartimento Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A Gemelli IRCCS, Roma, Italia.
Radiation Oncology Unit, University of Pittsburgh Medical Center, Hillman Cancer Center, San Pietro Hospital FBF, Rome, Italy.
出版信息
Future Sci OA. 2020 May 27;6(7):FSO596. doi: 10.2144/fsoa-2020-0015.
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.
背景
近年来，新型放射治疗技术已使临床实践朝着精准医疗发展。决策支持系统发挥着重要作用，这需要数据收集的标准化。立体定向体外放射治疗预测模型（PRE.M.I.S.E.）项目的目标是实施分析异构数据集的系统。本文介绍了该项目设计，重点是脑部立体定向放射治疗（SRT）。
材料与方法
首先，通过利用半形式语言（块和实体关系图）和自然语言定义原始本体；然后，将其转换为病例报告表，创建一个存储系统。
结果
选择了130多个脑部SRT变量。设置了专用软件“超越本体意识”（BOA-Web），数据收集正在进行中。
结论
PRE.M.I.S.E.项目为特定放射治疗技术（如SRT）提供了标准化的数据收集。未来的目标是：纳入其他中心并验证颅外SRT本体。
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