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APT-weighted and Diffusion MRI for Characterizing Tumor Infiltration in High-Grade Gliomas

IRCCS Ospedale San Raffaele · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
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diffusion-tensor-imagingglioblastomahigh-grade-glioma
High-grade gliomas are the most common primary malignant brain tumors and are characterized by infiltration of the surrounding brain tissue beyond the visible tumor margins. This infiltrative growth represents a major challenge for treatment planning and contributes to tumor recurrence. Conventional magnetic resonance imaging (MRI) is limited in its ability to distinguish tumor infiltration from non-tumoral changes such as vasogenic edema in the peri-tumoral region. This prospective single-center observational study aims to improve the characterization of the peri-tumoral microenvironment in patients with suspected high-grade gliomas using advanced MRI techniques, including amide proton transfer-weighted (APTw) imaging and diffusion tensor imaging (DTI). These techniques provide complementary information about tissue composition and microstructure and may help identify areas of tumor infiltration that are not visible on conventional imaging. APTw- and DTI-derived maps will be combined to generate imaging-derived maps describing the likelihood of tumor infiltration within the peri-tumoral region. These maps will be compared with histopathological findings obtained from tissue samples collected during biopsy or tumor resection performed as part of standard clinical care. Histological analyses will include assessment of tumor cellularity using hematoxylin and eosin staining and additional immunohistochemical markers routinely used in neuropathological evaluation. Patients will undergo routine clinical follow-up and the prognostic significance of the imaging-derived map will be assessed. The overall goal of the study is to develop and validate imaging-based biomarkers capable of identifying infiltrated tissue within the peri-tumoral region. These findings may contribute to improved diagnostic accuracy and support future treatment planning strategies in patients with high-grade gliomas.
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