Advanced MR Imaging Techniques in the Diagnosis of Intraaxial Brain Tumors (original) (raw)
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New MR sequences (diffusion, perfusion, spectroscopy) in brain tumours
2010
While MRI has been instrumental in significantly improving care in children harbouring brain tumours, conventional sequences lack information regarding functional parameters including cellularity, haemodynamics and metabolism. Advanced MR imaging modalities, such as diffusion (including diffusion tensor imaging and fibre tractography), perfusion and spectroscopy have significantly improved our understanding of the physiopathology of brain tumours and have provided invaluable additional information for treatment planning and monitoring of treatment results. The contribution of these methods to the characterization of brain neoplasms in children is the focus of the present manuscript.
Cureus, 2019
Purpose: Our aim was to determine the diagnostic performance of the combined usage of diffusion-weighted imaging (DWI), magnetic resonance spectroscopy (MRS) and perfusion MR (MRP) imaging for the differential diagnosis of benign and malignant intracranial lesions. Materials and methods: A total of 30 patients with intracranial lesions who were prospectively evaluated with contrast-enhanced magnetic resonance imaging (MRI), DWI, MRS, and MRP were included in this study. The lesions were classified as benign and malignant according to the radiologic findings. All imaging data were compared with the histopathologic results and follow-up of the patients. We used the Pearson chi-square test and Fischer's exact t-test for statistical analysis. Results: For the differentiation of benign and malignant brain lesions, CBV and choline/creatine (Cho/Cr) ratio at short echo time (TE) had the highest sensitivity (87%-88%), Cho/N-acetyl aspartate (NAA) at short TE had the highest specificity (86%). DWI predicted 77% sensitivity, 75% specificity; MRP presented 91% sensitivity, 88% specificity; MRS yielded 77% sensitivity, 63% specificity. The combination of either DWI and MRS, MRP and MRS or DWI+MRS+MRP revealed 100% sensitivity, 100% specificity. Conclusion: For the differentiation of benign and malignant brain lesions, the combination of DWI, MRS, and MRP predicted 100% sensitivity. Invasive procedures like transcranial biopsy were not required via the usage of these advanced MRI techniques.
The role of conventional Magnetic Resonance Imaging (MRI) in the detection of cerebral tumors has been well established. However its excellent soft tissue visualization and variety of imaging sequences are in many cases non-specific for the assessment of brain tumor grading. Hence, advanced MRI techniques, like Diffusion-Weighted Imaging (DWI), Diffusion Tensor Imaging (DTI) and Dynamic-Susceptibility Contrast Imaging (DSCI), which are based on different contrast principles, have been used in the clinical routine to improve diagnostic accuracy. The variety of quantitative information derived from these techniques provides significant structural and functional information in a cellular level, highlighting aspects of the underlying brain pathophysiology. The present work, reviews physical principles and recent results obtained using DWI/DTI and DSCI, in tumor characterization and grading of the most common cerebral neoplasms, and discusses how the available MR quantitative data can be utilized through advanced methods of analysis, in order to optimize clinical decision making.
Acta Radiologica, 2009
Background: Conventional magnetic resonance (MR) imaging has a number of limitations in the diagnosis of the most common intracranial brain tumors, including tumor specification and the detection of tumoral infiltration in regions of peritumoral edema. Purpose: To prospectively assess if diffusion-weighted MR imaging (DWI) could be used to differentiate between different types of brain tumors and to distinguish between peritumoral infiltration in high-grade gliomas, lymphomas, and pure vasogenic edema in metastases and meningiomas. Material and Methods: MR imaging and DWI was performed on 93 patients with newly diagnosed brain tumors: 59 patients had histologically verified high-grade gliomas (37 glioblastomas multiforme, 22 anaplastic astrocytomas), 23 patients had metastatic brain tumors, five patients had primary cerebral lymphomas, and six patients had meningiomas. Apparent diffusion coefficient (ADC) values of tumor (enhancing regions or the solid portion of tumor) and peritumo...
BACKGROUND AND PURPOSE: MR spectroscopy and apparent diffusion coefficient (ADC) calculation have been used frequently for tumor grading and differentiation during the last decade. We evaluated whether the combination of these two techniques can improve the diagnostic effectiveness of MR imaging in patients with brain tumors. METHODS: Forty-nine patients with histologically proved brain tumors (eight high- and 12 low-grade astrocytomas, eight metastases, eight nonastrocytic gliomas, seven meningiomas, three dysembryoplastic neuroepithelial tumors (DNETs), and three tuberculomas) were prospectively evaluated with contrast material-enhanced MR imaging, single-voxel proton MR spectroscopy (TE = 135 ms), and diffusion-weighted imaging (b = 0, 500, and 1000 s/mm(2)) before surgery. RESULTS: MR spectroscopy could differentiate benign from malignant tumors but was not useful in grading malignant tumors. In the differentiation of malignant from benign tumors, N-acetylaspartate (NAA)/choline (Cho), NAA/Cho + creatine (Cr), lactate/Cr, and alanin/Cr ratios (P <.001) were statistically more significant than NAA/Cr and lactate/lipid ratios (P <.05). Increase in lipid/Cr and alanin/Cr ratios could distinguish metastasis and meningiomas from other tumors, respectively (P <.001). DNETs could be diagnosed by their normal spectra and high ADC values (116.25 +/- 6.93 x 10(-3) mm(2)/s). Increase in lactate/Cr ratio correlated with degree of malignancy (r = -0.71). ADCs were effective for grading malignant tumors (P <.001) but not for distinguishing different tumor types with the same grade. High-grade malignant tumors (87.16 +/- 10.41 x 10(-3) mm(2)/s) had significantly lower ADC values than did low-grade malignant (115.33 +/- 11.67 x 10(-3) mm(2)/s) and benign (107.69 +/- 8.05 x 10(-3) mm(2)/s) tumors. Peritumoral ADCs were significantly higher in low-grade than in high-grade astrocytomas (P <.05). CONCLUSION: Combination of calculated ADC values from tumoral core and specific relative metabolite ratios acquired by MR spectroscopy added more information to MR imaging in the differentiation and grading of brain tumors and were more useful together than each alone.
Grading of Intracranial Neoplasms with MR Perfusion and MR Spectroscopy
https://www.ijrrjournal.com/IJRR\_Vol.5\_Issue.10\_Oct2018/Abstract\_IJRR0058.html, 2018
Purpose: To compare findings of conventional magnetic resonance (MR) imaging, MR perfusion and MR spectroscopy in grading of the primary intra-cranial neoplasms. Materials and Methods: This prospective observational, comparative study was conducted in a tertiary care hospital. 37 consecutive patients with freshly detected primary intracranial intra-axial neoplasms were included in the study. T1 axial, T2 axial, FLAIR axial, diffusion-weighted images, Coronal T2 weighted, T1-weighted, dynamic susceptibility contrast (DSC) MR perfusion, MR spectroscopy and post contrast T1-weighted 3D images were obtained. Grading of the intracranial neoplasms was done on the basis of MR imaging. Histology specimen was obtained by surgical resection or stereotactic biopsy and graded as high-grade glioma (HGG) and low-grade glioma (LGG). Results: On histopathological examination, 24 cases were proven to be HGG and 13 to be LGG. The mean Cho/NAA ratio for HGG was 7.3 and for LGG it was 1.7. The mean rCBV for HGG was 2.95 and for LGG was 0.92. Out of 37 intra-axial tumors, 24 histologically proven HGG were all correctly diagnosed with spectroscopy imaging, however 2 LGG were over diagnosed to be HGG. The sensitivity, specificity, PPV, and NPV for determination of a high-grade glioma with MR Spectroscopy and MR Perfusion imaging were 100%, 84.6%, 92.3%, and 100%, respectively. AUC measured 0.92. Conclusion: Advanced neuroimaging using DSC MR perfusion and MR Spectroscopy allows accurate grading of tumor, which enables surgical planning, guiding accurate stereotactic biopsy from the most malignant part of the tumor and planning further treatment.