Arterial Spin-labeling and MR Spectroscopy in the Differentiation of Gliomas
Overview
Affiliations
Background And Purpose: Noninvasive grading of gliomas remains a challenge despite its important role in the prognosis and management of patients with intracranial neoplasms. In this study, we evaluated the ability of cerebral blood flow (CBF)-guided voxel-by-voxel analysis of multivoxel proton MR spectroscopic imaging ((1)H-MRSI) to differentiate low-grade from high-grade gliomas.
Materials And Methods: A total of 35 patients with primary gliomas (22 high grade and 13 low grade) underwent continuous arterial spin-labeling perfusion-weighted imaging (PWI) and (1)H-MRSI. Different regions of the gliomas were categorized as "hypoperfused," "isoperfused," and "hyperperfused" on the basis of the average CBF obtained from contralateral healthy white matter. (1)H-MRSI indices were computed from these regions and compared between low- and high-grade gliomas. Using a similar approach, we applied a subgroup analysis to differentiate low- from high-grade oligodendrogliomas because they show different physiologic and genetic characteristics.
Results: Cho(glioma (G)/white matter (WM)), Glx(G/WM), and Lip+Lac(G)/Cr(WM) were significantly higher in the "hyperperfused" regions of high-grade gliomas compared with low-grade gliomas. Cho(G/WM) and Lip+Lac(G)/Cr(WM) were also significantly higher in the "hyperperfused" regions of high-grade oligodendrogliomas. However, metabolite ratios from the "hypoperfused" or "isoperfused" regions did not exhibit any significant differences between high-grade and low-grade gliomas.
Conclusion: The results suggest that (1)H-MRSI indices from the "hyperperfused" regions of gliomas, on the basis of PWI, may be helpful in distinguishing high-grade from low-grade gliomas including oligodendrogliomas.
Alcicek S, Pilatus U, Manzhurtsev A, Weber K, Ronellenfitsch M, Steinbach J J Neurooncol. 2024; 170(2):451-461.
PMID: 39192067 PMC: 11538230. DOI: 10.1007/s11060-024-04803-2.
Challenges and opportunities for advanced neuroimaging of glioblastoma.
Henssen D, Meijer F, Verburg F, Smits M Br J Radiol. 2022; 96(1141):20211232.
PMID: 36062962 PMC: 10997013. DOI: 10.1259/bjr.20211232.
Emerging MR Imaging and Spectroscopic Methods to Study Brain Tumor Metabolism.
Kumar M, Nanga R, Verma G, Wilson N, Brisset J, Nath K Front Neurol. 2022; 13:789355.
PMID: 35370872 PMC: 8967433. DOI: 10.3389/fneur.2022.789355.
Chawla S, Bukhari S, Afridi O, Wang S, Yadav S, Akbari H NMR Biomed. 2022; 35(7):e4719.
PMID: 35233862 PMC: 9203929. DOI: 10.1002/nbm.4719.
3D pCASL-perfusion in preoperative assessment of brain gliomas in large cohort of patients.
Batalov A, Zakharova N, Pronin I, Belyaev A, Pogosbekyan E, Goryaynov S Sci Rep. 2022; 12(1):2121.
PMID: 35136119 PMC: 8826414. DOI: 10.1038/s41598-022-05992-4.