Application of CT Energy Spectrum Combined with MR Spectroscopy in the Classification of Meningiomas

2020 ◽  
Vol 10 (8) ◽  
pp. 1949-1954
Author(s):  
Ruiping Chai ◽  
Hong Zhang ◽  
Hongcan Ma ◽  
Ximi Xu ◽  
Hamris Andrew
Keyword(s):  
Energy Spectrum ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Mr Spectroscopy ◽  
Low Energy ◽  
Resonance Spectroscopy ◽  
Who Grade ◽  
Quantitative Parameters ◽  
Cr Concentration

Objective: To study the application value of CT spectroscopy combined with MR spectroscopy in the classification and classification of meningioma, in order to provide more information for the classification and classification of meningioma from the perspective of imaging, and to improve the intraoperative tumor resection. Provide reference for selection and evaluation of prognosis, judgment of efficacy, and prediction of recurrence. Methods: A total of 102 patients who underwent preoperative energy spectroscopy and 3.0T magnetic resonance spectroscopy were enrolled in our hospital from March 2017 to March 2018. There were 48 patients with spectral CT scan, 43 patients with MR spectroscopy, and 11 patients with energy spectrum CT and MR spectroscopy. Correlation between grading and typing of meningiomas was performed using quantitative parameters of energy spectrum CT and magnetic resonance spectroscopy. Study and evaluate the diagnostic efficacy of quantitative parameters. Results: The results of CT spectra combined with MR spectroscopy in the pathological grading of meningiomas showed significant differences in CT values at low energy (40–70 KeV) (P < 0.05), which showed that the CT values of WHOI-level single energy were less than WHO II grade; WHO grade I meningioma curve slope was significantly smaller than WHO II grade (P < 0.05), statistically significant; also found that WHO grade I meningioma Cho concentration, Cr concentration, Cho/Cr ratio and WHO II grade There was a significant difference (P < 0.05). Conclusion: CT spectroscopy combined with MR spectroscopy imaging in the diagnosis of meningioma, the single-energy CT value and slope of the low-energy (40–70 KeV) level of WHO grade I meningioma, the Cho concentration is significantly lower than the WHO II-level meninges. Tumor, and the Cr concentration is significantly higher than the WHO I level, the combination of the two can more accurately diagnose the meningioma.

scholarly journals NIMG-12. 18F-FLUORETHYLTYROSINE POSITRON EMISSION TOMOGRAPHY VERSUS MAGNETIC RESONANCE SPECTROSCOPY IN PREOPERATIVE DETECTION OF NEWLY DIAGNOSED GLIOMAS BY USING MACHINE LEARNING

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii149-ii149
Author(s):  
Lazaros Lazaridis ◽  
Sied Kebir ◽  
Manuel Weber ◽  
Teresa Schmidt ◽  
Kathy Keyvani ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Emission Tomography ◽  
Resonance Spectroscopy ◽  
Newly Diagnosed ◽  
Who Grade ◽  
Fet Pet ◽  
Positron Emission ◽  
Grade Ii

Abstract BACKGROUND Advanced imaging techniques entered the field of neurooncology. In this analysis we compare the diagnostic potential of 18F-fluorethyltyrosine (FET) positron emission tomography (PET) and magnetic resonance spectroscopy (MRS) in their potential to preoperatively predict certain glioma subtypes. AIMS Goal of this analysis ist the evaluation of FET PET and MRS regarding the preoperative prediction of glioma subtypes. METHODS We analyzed 33 patients with histopathologically confirmed newly diagnosed glioma. The patients received FET PET and MRS during one single preoperative diagnostic session. According to the molecular portfolio patients were subdivided in IDH wildtype glioblastoma patients (GBM), IDH wildtype WHO grade II/III glioma patients (Astro_IDHwt), IDH mutant WHO grade II/III glioma patients without 1p/19q codeletion (Astro_IDHmut) and with 1p/19q codeletion (ODG). Mean and maximum tumor-to-brain ratio (TBRmean and TBRmax), N-acetylaspartate, choline and creatine peaks were correlated with postoperative tumor diagnosis. To gain generalizable implications we subdivided the study cohort into a development and validation subcohort. A support vector machine model was fitted to the development subcohort and evaluated on the validation subcohort. Receiver operating characteristic curve served to assess model performance. RESULTS GBM patients had highest TBRmax and TBRmean values (mean: 3.5 and 3.8) and the ODG patients showed the second highest TBRmax and TBRmean values (mean: 2.6 and 3). The distribution of MRS markers exhibited to clear trend. The performance of glioma subtyping was comparatively low for the TBR values (AUC: 0.68) and even lower for the MRS markers (AUC: 0.60). These results are in line with preliminary investigations performed by our institute for the comparison of 11C-methionine PET with MRS in preoperative glioma subtyping. CONCLUSIONS FET PET and MRS bear limited potential in glioma subgrouping. However, FET PET appears to be slightly superior. Investigation in a larger cohort is required to draw definite conclusions.

Magnetic Resonance Spectroscopy in Migraine

Cephalalgia ◽  
1995 ◽  
Vol 15 (4) ◽  
pp. 323-327 ◽  
Author(s):  
P Montagna
Keyword(s):  
Energy Metabolism ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Energy Demand ◽  
Low Energy ◽  
Resonance Spectroscopy ◽  
Non Invasive ◽  
Relevant Role ◽  
Brain Ph ◽  
Brain Energy

31-phosphorus Magnetic Resonance Spectroscopy (MRS) is a technique developed for the non-invasive study of energy metabolism in living subjects. It determines the concentrations of high and low energy phosphates in resting and activated conditions, and of intracellular pH. 31P-MRS has been applied to the study of migraine, both during and in between attacks. Intracellular brain pH remains unchanged during the migraine attack, suggesting that ischemia does not play a relevant role in the origin of the neuro-logical signs. During and in-between attacks, migraineurs display abnormalities in energy metabolism of brain and muscle, consisting of reduced levels of phosphocreatine, reduced cellular-free energy and increased rate of ATP biosynthesis. We suggest that these abnormalities in energy metabolism predispose migraineurs to develop an attack under conditions of increased brain energy demand.

CLASSIFICATION OF HUMAN TUMOURS BY HIGH-RESOLUTION MAGNETIC RESONANCE SPECTROSCOPY

The Lancet ◽  
1986 ◽  
Vol 327 (8482) ◽  
pp. 651-653 ◽  
Author(s):  
CarolynE. Mountford ◽  
GeorgeL. May ◽  
PhilipG. Williams ◽  
MartinH.N. Tattersall ◽  
Peter Russell ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
High Resolution ◽  
Magnetic Resonance Spectroscopy ◽  
Resonance Spectroscopy ◽  
Human Tumours

Primary granulomatous angiitis of the central nervous system: findings of magnetic resonance spectroscopy and fractional anisotropy in diffusion tensor imaging prior to surgery

2007 ◽  
Vol 107 (4) ◽  
pp. 873-877 ◽  
Author(s):  
Takaaki Beppu ◽  
Takashi Inoue ◽  
Hideaki Nishimoto ◽  
Shinichi Nakamura ◽  
Yoichi Nakazato ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Fractional Anisotropy ◽  
Mr Spectroscopy ◽  
Diffusion Tensor ◽  
Resonance Spectroscopy ◽  
Granulomatous Angiitis ◽  
The Central Nervous System

✓Primary granulomatous angiitis of the central nervous system (CNS) is extremely rare. Its preoperative diagnosis is difficult as the condition displays nonspecific features on routine neuroimaging investigations. In this paper, the authors report findings of magnetic resonance (MR) spectroscopy and fractional anisotropy (FA) with diffusion tensor MR imaging in a case of granulomatous angiitis of the CNS. A 30-year-old man presented with morning headaches and grand mal seizures. An MR image revealed a mass resembling glioblastoma in the right temporal lobe. Magnetic resonance spectroscopy showed a high choline/creatine (Cho/Cr) ratio indicative of a malignant neoplasm, accompanied by a slight elevation of glutamate and glutamine. The FA value was very low, which is inconsistent with malignant glioma. The mass was totally removed surgically. Histologically, the peripheral lesion of the mass consisted of a rough accumulation of fat granule cells, infiltration of inflammatory cells, and distribution of capillary vessels. Some vessels within the lesion were replaced by granulomas. The histological diagnosis was granulomatous angiitis of the CNS. The MIB-1–positive rate of the granuloma was approximately 5%. Both MR spectroscopy and FA were unable to accurately diagnose granulomatous angiitis of the CNS prior to surgery; however, elevated Cho/Cr and glutamate and glutamine shown by MR spectroscopy may indicate the moderate proliferation potential of the granuloma and the inflammatory process, respectively, in this condition. Although the low FA value in the present case enabled the authors to rule out a diagnosis of glioblastoma, FA values in inflammatory lesions require careful interpretation.

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