NCT07703761
AI-driven Processing and Analysis of Glioma Imaging Data
Recruiting · Not specified · Università degli Studi di Trento · registry updated 2026-07-14
Inclusion and exclusion lines below are quoted from ClinicalTrials.gov. No match score is shown, because a score needs a person's age, biomarkers, and treatment dates. Confirm the record with the study team.
GLIOMAID is a scientific research project focused on improving how brain tumors, specifically gliomas, are diagnosed and managed. It uses Artificial Intelligence (AI) to analyze MRI brain scans and patient data. The project collects existing clinical information and imaging from glioma patients to build AI models that support doctors in making better and faster treatment decisions.Gliomas, especially high-grade ones, are among the most common and challenging brain tumors. Many patients have poor survival chances, and diagnosis often requires invasive procedures like biopsies. Despite medical advances, current treatments have limited effectiveness. Better non-invasive diagnostic tools are urgently needed to: * Detect tumors earlier. * Predict how aggressive they are. * Help doctors plan the most effective treatments. The GLIOMAID study aims to reduce the need for invasive diagnostics by creating AI tools that interpret brain scans with high accuracy. Primary Objectives * Create Italy's First Glioma Imaging Database This database will store anonymized MRI scans and clinical records from around 700 patients....
Inclusion
- Imaging (MRI) of confirmed glioma diagnosis in the period 2019-2024, for whom cancer types and stages, from diagnosis to post-treatment are available
- Having undergone a full brain tumor resection operation, followed or not by treatment with RT or CHT
- Adults aged 18 to 60 years
- Informed consent available, when possible and applicable
Exclusion
- Poor quality or artifact-laden MRI images
- Lack of a minimal set of clinical information
- Explicit refusal of consent (if possible to obtain)
- Age under 18 years or over 60 years