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AI-driven Processing and Analysis of Glioma Imaging Data

Recruitingn/aAges 18 Years - 60 YearsAllUniversità degli Studi di Trento
NCT07703761 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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

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📋 Eligibility rules (as published)
Inclusion Criteria: * 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 Criteria: * 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
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What it tests

  • AI-driven analysis of brain MRI data for early, non-invasive detection, segmentation, and histological characterization of gliomas using retrospective clinical and imaging records.
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Where

1 site
CISMed, Centre for Medical Sciences
Trento, Italy
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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