Keywords: CEST & MT, Contrast Agent, glucose
In this study, we explored the feasibility of dynamic glucose enhanced (DGE) MRI technology in the clinical application of gliomas. 20 glioma patients underwent pre-operative DGE-MRIs before clinical intervention. We observed a significant increase in DGE area under the uptake curve (AUC) signal in tumors compared to the white matter. In some cases, we found enhancement in DGE MRI in histopathological confirmed tumor region that was not enhanced by Gd T1w MRI. These findings provide a new perspective for the further exploration and analysis of the D-glucose delivery, uptake and metabolism in brain tumors.
Authors are grateful to receive funding support from the Natural Science Foundation of Guandong Province (2022A1515011585); Southern Medical University clinical research project (LC2016ZD028); the National Institutes of Health grant RO1 EB019934 and R00 EB026312; the Swedish Research Council grant 2019-03637; the Swedish Cancer Society grant CAN 2018/550 and 21 1652 Pj; Swedish Brain Foundation grant number FO2021-0328.
1. Weise CM, Chen K, Chen Y, Kuang X, Savage CR, Reiman EM. Left lateralized cerebral glucose metabolism declines in amyloid-β positive persons with mild cognitive impairment. NeuroImage Clinical. 2018;20:286-296.
2. Croteau E, Castellano CA, Fortier M, et al. A cross-sectional comparison of brain glucose and ketone metabolism in cognitively healthy older adults, mild cognitive impairment and early Alzheimer's disease. Experimental gerontology. 2018;107:18-26.
3. Butterfield DA, Halliwell B. Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease. Nature reviews Neuroscience. 2019;20(3):148-160.
4. Regenold WT, Phatak P, Kling MA, Hauser P. Post-mortem evidence from human brain tissue of disturbed glucose metabolism in mood and psychotic disorders. Molecular psychiatry. 2004;9(8):731-733.
5. Xu X, Chan KW, Knutsson L, et al. Dynamic glucose enhanced (DGE) MRI for combined imaging of blood-brain barrier break down and increased blood volume in brain cancer. Magnetic resonance in medicine. 2015;74(6):1556-1563.
6. Xu X, Yadav NN, Knutsson L, et al. Dynamic Glucose-Enhanced (DGE) MRI: Translation to Human Scanning and First Results in Glioma Patients. Tomography. 2015;1(2):105-114.
7. Nasrallah FA, Pages G, Kuchel PW, Golay X, Chuang KH. Imaging brain deoxyglucose uptake and metabolism by glucoCEST MRI. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 2013;33(8):1270-1278.
8. Paech D, Schuenke P, Koehler C, et al. T1ρ-weighted Dynamic Glucose-enhanced MR Imaging in the Human Brain. Radiology. 2017;285(3):914-922.
9. Chen L, Wei Z, Chan KW, et al. D-Glucose uptake and clearance in the tauopathy Alzheimer's disease mouse brain detected by on-resonance variable delay multiple pulse MRI. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 2021;41(5):1013-1025.
10. Huang J, Lai JHC, Han X, et al. Sensitivity schemes for dynamic glucose-enhanced magnetic resonance imaging to detect glucose uptake and clearance in mouse brain at 3 T. NMR in biomedicine. 2022;35(3):e4640.
11. Knutsson L, Xu X, van Zijl PCM, Chan KWY. Imaging of sugar-based contrast agents using their hydroxyl proton exchange properties. NMR in biomedicine. 2022:e4784.
12. Jiang JS, Hua Y, Zhou XJ, et al. Quantitative Assessment of Tumor Cell Proliferation in Brain Gliomas with Dynamic Contrast-Enhanced MRI. Academic radiology. 2019;26(9):1215-1221.
13. Su C, Liu C, Zhao L, et al. Amide Proton Transfer Imaging Allows Detection of Glioma Grades and Tumor Proliferation: Comparison with Ki-67 Expression and Proton MR Spectroscopy Imaging. AJNR American journal of neuroradiology. 2017;38(9):1702-1709.
14. Senger DR, Van de Water L, Brown LF, et al. Vascular permeability factor (VPF, VEGF) in tumor biology. Cancer metastasis reviews. 1993;12(3-4):303-324.
Table 1: Characteristics of the 20 cases in the study
E, ependymoma; A, astrocytoma; O, oligodendroglioma; IM, imaging diagnosed; AA, anaplastic astrocytoma; AO , anaplastic oligodendroglioma; GB , glioblastoma; IDH, isocitrate dehydrogenase; mut, mutation; wt, wildtype; numbers in parentheses denote the number of cases in each grade.
Figure 1. Case 1: A 67-year-old female diagnosed with glioblastoma (WHO grade 4). The mass, located in left temporal, exhibited heterogeneous hyperintensity on FLAIR image (a), MPRAGE image after Gd injection (b), and the DGE AUC2-7min image (c). HE staining (d) showed a dense distribution of tumor cells.
Figure 2. Case 2: A 32 years old male with gemistocytic astrocytoma (WHO grade 2). The mass was located in the left frontal brain, exhibiting hyperintensity on T2w (a) and FLAIR (b) images plus hypointensity on MPRAGE (after Gd injection (c). In the DGE AUC2-7min image (d) the mass exhibits hyperintensity and the H&E staining (e) shows a diffuse distribution of tumor cells.
Figure 3. Pairwise comparison between tissue compartments. (a) all cases; (b) low grade glioma cases; and (c) high grade glioma cases.