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Brain Tumor Research

Precision medicine and innovative therapeutic strategies for tumors of the central nervous system

Description

The Brain Tumor Research Program at INI Hannover integrates clinical neurosurgery, neuropathology, molecular research, advanced imaging and data-driven analysis. Its goal is to characterize brain tumors more precisely from both a biological and imaging perspective, to quantify disease trajectories and to translate these findings into individualized diagnostic and therapeutic strategies.

A particular focus is the integration of high-resolution imaging with histopathological, molecular and genetic information. Advanced surgical techniques, intraoperative imaging, functional mapping and neurophysiological monitoring are combined with quantitative image analysis and increasingly with AI-based methods.

The program therefore covers the entire translational pathway, from biological tumor characterization and preoperative planning to surgical treatment and objective long-term follow-up.

Key Research Areas

Investigation of the biological, molecular and genetic mechanisms underlying brain tumors. The objective is to translate new insights into tumor development, progression and potential therapeutic targets into individualized clinical diagnostics and treatment.
Advancement of microsurgical resection strategies aimed at achieving the most complete possible tumor removal while maximizing preservation of neurological and cognitive function.
Integration of modern structural, functional and metabolic imaging techniques for more precise tumor characterization, risk assessment and surgical planning.
Integration of intraoperative MRI, neuronavigation, functional mapping and intraoperative neurophysiology to continuously optimize the surgical strategy during surgery.
Analysis of molecular tumor characteristics to improve classification and develop individualized diagnostic and therapeutic concepts.
Systematic collection and scientific characterization of tumor tissue together with corresponding clinical and imaging data as a basis for future translational research projects.
Automated assessment of tumor volumes, edema, resection cavities and adjacent anatomical structures. The objective is objective and reproducible quantification of disease progression and treatment response.