Research > Focus C > Work Packages C02
Summary
The aim of this project is to validate and improve novel high-throughput analyses of medical imaging data with machine- and deep learning algorithms for predictive modelling, identification of molecularly, metabolically and immunologically distinct imaging phenotypes and automated tumour response assessment in patients with glioma. The project strives to improve and refine treatment delivery and non-invasive treatment monitoring of patients with glioma by generating prognostic and predictive imaging biomarkers. The visual abstract below shows the aims and planned tasks of the work package.
Task 1
Artificial neural networks for automated tumor response assessment and improved imaging biomarker discovery
Steps / Workflow
- building a comprehensive annotated brain tumor MRI reference database for artificial neural network (ANN) training (EORTC-26101)
- prospective validation (N2M2, AMPLIFY-NEOVAC) & clinical integration
- quantitative imaging biomarker discovery
Task 2
Radiomic signature discovery & validation
Steps / Workflow
- radiomic signature discovery in clinical trial datasets (EORTC 26101)
- refinement & prospective validation (N2M2, AMPLIFY-NEOVAC)
- integrative predictive modeling with molecular and clinical data
Task 3
Non-invasive assessment of tumor vascularization, angiogenic escape and hypoxic transformation
Steps / Workflow
- mathematical modeling of DSC-MRI data
- non-invasive measurement of vascular normalization, efficacy of drug delivery and hypoxic transformation
- identification of subgroups with favorable vascular response to overcome evasive mechanisms of tumor cells
Task 4
3D chemical shift MRI for non-invasive treatment monitoring during IDH-directed therapies
Steps / Workflow
- implementation of 3D chemical shift imaging (3D-CSI)
- methodical validation by correlating 2HG concentrations of 3D-CSI with those from biopsy-guided tissue specimens
- non-invasive response monitoring of novel IDH inhibitors with 3D-CSI
PRINCIPLE INVESTIGATORS
BENDSZUS, MARTIN, PROF. DR. MED.
Chair and Head of Department
University Hospital Heidelberg, Department of Neuroradiology, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany
VOLLMUTH, PHILIPP, PD DR. MED., MBA
Consultant
University Hospital Heidelberg, Department of Neuroradiology, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany