VASARI 2.0: a new updated MRI VASARI lexicon to predict grading and IDH status in brain glioma
Glioma grade and isocitrate dehydrogenase (<i>IDH</i>) status can be predicted using specific magnetic resonance imaging (MRI) features, which have significant prognostic consequences. The accuracy of texture-derived metrics from preoperative MRI gliomas and machine learning analysis for predicting grade, <i>IDH</i> status, and their correlation can be enhanced by the suggested new and updated VASARI manual annotation system. To help with therapy selection and enhance patient care, we intend to create prediction models that incorporate these MRI findings with additional clinical data.
Authors
- Mario Tortora (ORCID: https://orcid.org/0000-0002-4745-3061)
- Gianvito Pace (ORCID: https://orcid.org/0000-0002-2084-7976)
- Andrea Elefante (ORCID: https://orcid.org/0000-0002-9093-7096)
- Fabio Tortora (ORCID: https://orcid.org/0000-0001-7215-8147)
- Laura Gemini (ORCID: https://orcid.org/0000-0002-0045-4673)
- A. Dal Negro (ORCID: https://orcid.org/0000-0002-7904-1563)
- Maya Marchese (ORCID: https://orcid.org/0000-0003-1915-5793)
- Vincenzo D’Agostino (ORCID: https://orcid.org/0000-0003-4175-3570)
- Raffaele Iaccarino
Institutions
- University of Molise (IT)
- ASL Roma (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-12-23
- DOI
- https://doi.org/10.3389/fonc.2024.1449982
- Citations
- 7
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.07