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Published on: June 7, 2020
Metabolic Imaging as Future Technology and Innovation in Brain-Tumour Surgery: A Systematic Review
Thomas Kapapa1, Ralph König2, Jan Coburger1
1Department for Neurosurgery, Ulm University Hospital, Albert-Einstein-Allee 23, 89081 Ulm, Germany.
Hyperpolarized 13C-MRI shows metabolic differences in brain tumors, particularly in bicarbonate metabolism, aiding tumor characterization. Further clinical validation is needed for intraoperative use.
Area of Science:
- Neurosurgery
- Oncology
- Radiology
- Metabolic Imaging
Background:
- Standard neurosurgical imaging struggles to detect infiltrative tumor regions beyond contrast enhancement.
- Metabolic imaging with hyperpolarized 13C-MRI offers potential for enhanced intraoperative insights into brain tumor biology.
Purpose of the Study:
- To systematically evaluate clinical and technical evidence of hyperpolarized MRI for metabolic characterization of malignant brain tumors.
- To assess the utility of hyperpolarized 13C-MRI in perioperative and diagnostic settings for brain tumor patients.
Main Methods:
- Systematic review of original human studies on hyperpolarized 13C-MRI in brain tumor patients.
- Inclusion criteria focused on perioperative and diagnostic applications, excluding reviews, animal studies, and technical reports.
- Methodological quality assessed using QUADAS-2; data synthesized qualitatively and via meta-analysis where feasible.
Main Results:
- Three studies (15 patients) met inclusion criteria.
- Significant difference in bicarbonate-to-pyruvate ratio between tumor and non-tumor brain (SMD = 1.34, p = 0.002).
- Pyruvate-to-lactate ratio (kPL) showed minimal difference (SMD = 0.06, p = 0.730) and a small effect between tumor and white matter (SMD = -0.33); high heterogeneity (I² = 69.4%).
Conclusions:
- Hyperpolarized 13C-MRI demonstrates metabolic differentiation between tumor and healthy brain tissue, especially via bicarbonate metabolism.
- The technology shows promise for metabolic tumor characterization.
- Further clinical validation is essential before routine intraoperative application in neurosurgery.
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