Libro degli abstracts Congresso Rimini 2018
- Give me a summary of this document
- This document contains information about a congress called XXVII Congresso AIRO 2017, which took place in Rimini, Italy from November 11-13, 2017. The document includes details about the programme, selected oral communications, posters, and major therapeutic changes discussed at the congress. It also mentions the creation of a tool called VALEO, which aims to provide patients and caregivers with applications to help them manage the therapeutic process. Additionally, the document mentions the importance of insurance coverage for healthcare professionals and the ongoing research on Glioblastoma multiforme (GBM) and its heterogeneity.
Key points
- XXVII Congresso AIRO 2017 took place in Rimini, Italy from November 11-13, 2017.
- The congress included selected oral communications, posters, and discussions on major therapeutic changes.
- The VALEO project aims to provide patients and caregivers with applications to assist in managing the therapeutic process.
- Insurance coverage for healthcare professionals is important.
- Ongoing research is being conducted on Glioblastoma multiforme (GBM) and its heterogeneity.
- This document contains information about a congress called XXVII Congresso AIRO 2017, which took place in Rimini, Italy from November 11-13, 2017. The document includes details about the programme, selected oral communications, posters, and major therapeutic changes discussed at the congress. It also mentions the creation of a tool called VALEO, which aims to provide patients and caregivers with applications to help them manage the therapeutic process. Additionally, the document mentions the importance of insurance coverage for healthcare professionals and the ongoing research on Glioblastoma multiforme (GBM) and its heterogeneity.
- What was the aim of the GLI.F.A. Project?
- The aim of the GLI.F.A. (Glioblastoma: advanced Imaging Features Analysis) Project was to analyze the imaging features of glioblastoma to create a multidimensional map for predictive models (PM) and decision support systems (DSS) in glioblastoma. The project involved the development of a standardized data collection for brain cancer, the creation of an ontology to collect and organize features of glioblastoma, and the development of software for the extraction of imaging features from MRI studies. The project aimed to improve the understanding and management of glioblastoma through advanced imaging analysis. (P.55)
- What is the purpose of the DSS in GBM management?
- The purpose of Decision Support Systems (DSS) in GBM management is to provide practical and helpful tools, such as software, apps, and nomograms, that assist in making informed decisions for individualized patient care. DSS is the result of previous Predictive Models (PM) and requires standardized data collection. The primary goal of DSS is to extract quantitative features from medical imaging, specifically magnetic resonance imaging (MRI), and analyze these data to create a multidimensional map for predictive models and decision support systems in GBM. This practice, known as radiomics, aims to improve patient management and treatment outcomes by utilizing imaging features as a quantitative tool. (P.105)