Correlation between lipid level in mr spectroscopy and signal loss ratio in chemical shift(ip/op) images in brain glioma

Magnetic resonance imaging techniques are used to diagnose brain gliomas tumors. In research studies using the magnetic resonance spectroscopy technique single voxel, and by assessing the amount of free tumor lipid metabolites, as a non-invasive method compared with invasive biopsy , is used to detect these tumors, but considering that this method is time-consuming and access to technique is notavailable on all devices and MRI centers, and the need of an experienced neuroradiologist analysis the results of MRI spectroscopy there seems necessary to introduce a new method for measuring lipidlevels and covering spectrum problems in brain gliomas. Here we compare chemical shift imaging with MR spectroscopy in evaluating lipid levels in brain gliomas. In this study, 33 patients with a cerebralglioma tumor(18 males and 15 females) with a mean age of 43 years were subjected to a MRI imaging test using 1.5 Tesla magnet. Magnetic Resonance Spectroscopy imaging sequences were performed in all patients. By primary and secondary analyzes of spectroscopy, was evaluated the spectrum obtained from the lipid metabolites، and Signal loss ratio derived from ROI, in in phase-and opposed phaseimages was calculated by the Oserix Dicom soft-ware and compared with lipid levels derived from MRS. Spearman’s correlation showed the significant correlation between signal drop (mod-SLR) andlipid level and lipid-lactate level (p value < 0.01). The ROC curve for signal drop showed an area under the curve of 0.754 for specificity and sensitivity for 2.88 as the cut-off-point of mod-SLR to differentiate high-grade and low-grade tumors. With considering the limitations of magnetic resonance spectroscopy, and importance of evaluating the amount of free lipids in brain gliomas, we suggest that SLR in IP/OP imaging is a major step towards improving the evaluation of lipid levels in these tumors and is helpful to determine patients progression and grading and prognosis

کلیدواژه ها:

Cancer Diagnosis ، Gene and Cancer ، Solid Tumors ، Cancer Treatment and Management ، Chemotherapy