日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細


公開

ポスター

Non-invasive high-resolution in vivo pH mapping in brain tumors by 31P‑informed deepCEST MRI

MPS-Authors
/persons/resource/persons214560

Zaiss,  M       
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
フルテキスト (公開)
公開されているフルテキストはありません
付随資料 (公開)
There is no public supplementary material available
引用

Schüre, J.-R., Rajpu, J., Steidl, E., Shrestha, M., Deichmann, R., Hattingen, E., Fabian, M., Maier, A., Nagel, A., & Zaiss, M. (2024). Non-invasive high-resolution in vivo pH mapping in brain tumors by 31P‑informed deepCEST MRI. Poster presented at ISMRM & ISMRT Annual Meeting & Exhibition 2024, Singapore.


引用: https://hdl.handle.net/21.11116/0000-000F-39B8-2
要旨
Motivation: The pH value is an important biomarker for many diseases. MRI-based 3D pH mapping for clinical routine would be an enormous benefit for diagnostics. Goal(s): Prediction of intracellular P-pH maps from H APTw-CEST MRI data using a voxel-wise neural network, aiming to improve brain tumor imaging. Approach: Fifteen glioblastoma patients underwent 3T MRI with both APTw-CEST and P-MRS. A neural network trained on 11 patients data to correlate APTw-CEST features with P-derived pH values, tested on 4 additional patients. Results: The neural network's pH predictions closely matched P-pH maps, showing potential for high-resolution, non-invasive pH mapping in brain tumors. Impact: High resolution pH imaging for better diagnosis of diseases (inflammation, stroke, tumor) and therapy monitoring in clinical routine.