scholarly journals Arterial spin-labelling and magnetic resonance spectroscopy as imaging biomarkers for detection of epileptogenic zone in non-lesional focal impaired awareness epilepsy

2020 ◽  
Vol 51 (1) ◽  
Author(s):  
Rania Essam-el-dein Mohamed ◽  
Ashraf Ali Aboelsafa ◽  
Rasha Mahmoud Dawoud
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Imaging Biomarkers ◽  
Epileptic Focus ◽  
Resonance Spectroscopy ◽  
Epileptogenic Zone ◽  
1H Mrs ◽  
Combined Use ◽  
Impaired Awareness

Abstract Background The proper identification of an epileptic focus is a pivotal diagnostic issue; particularly in non-lesional focal impaired awareness epilepsy (FIAE). Seizures are usually accompanied by alterations of regional cerebral blood flow (rCBF) and metabolism. Arterial spin labeling-MRI (ASL-MRI) and proton magnetic resonance spectroscopy (1H-MRS) are MRI techniques that can, non-invasively, define the regions of cerebral perfusion and metabolic changes, respectively. The aim of the current study was to recognize the epileptogenic zone in patients with non-lesional FIAE by evaluating the interictal changes in rCBF and cerebral metabolic alterations, using PASL-MRI and 1H-MRS. Results For identification of the epileptogenic zone, increased ASLAI% assessed by PASL-MRI (at a cut-off value ≥ 5.96%) showed 95.78% accuracy, and increased %AF (at a cut-off value ≥ 9.98%) showed 98.14% accuracy, while decreased NAA/(Cho + Cr) ratio estimated by multi-voxels (MV) 1H-MRS (at a cut-off value ≥ 0.59) showed 97.74% accuracy. Moreover, the combined use of PASL-MRI and MV 1H-MRS yielded 100% sensitivity, 98.45% specificity and 98.86% accuracy. Conclusion The combined use of PASL-MRI and MV 1H-MRS can be considered as in-vivo proficient bio-marker for proper identification of epileptogenic zone in patients with non-lesional FIAE.

scholarly journals 81 IN VIVO PROTON MAGNETIC RESONANCE SPECTROSCOPY (1H-MRS) IN CYSTIC LEUCOMALACIA OF INFANCY

1994 ◽  
Vol 36 (1) ◽  
pp. 16A-16A
Author(s):  
Floris Groenendaal ◽  
Paula Eken ◽  
Jeroen Van Der Grond ◽  
Karin Rademaker ◽  
Linda S De Vries
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Proton Magnetic Resonance ◽  
Proton Magnetic Resonance Spectroscopy ◽  
Resonance Spectroscopy ◽  
1H Mrs

scholarly journals Non-Invasive Prediction of IDH Mutation in Patients with Glioma WHO II/III/IV Based on F-18-FET PET-Guided In Vivo 1H-Magnetic Resonance Spectroscopy and Machine Learning

Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3406
Author(s):  
Elisabeth Bumes ◽  
Fro-Philip Wirtz ◽  
Claudia Fellner ◽  
Jirka Grosse ◽  
Dirk Hellwig ◽  
...  
Keyword(s):  
Machine Learning ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Support Vector ◽  
Resonance Spectroscopy ◽  
Idh Mutation ◽  
1H Mrs ◽  
1H Magnetic Resonance Spectroscopy ◽  
Non Invasive

Isocitrate dehydrogenase (IDH)-1 mutation is an important prognostic factor and a potential therapeutic target in glioma. Immunohistological and molecular diagnosis of IDH mutation status is invasive. To avoid tumor biopsy, dedicated spectroscopic techniques have been proposed to detect D-2-hydroxyglutarate (2-HG), the main metabolite of IDH, directly in vivo. However, these methods are technically challenging and not broadly available. Therefore, we explored the use of machine learning for the non-invasive, inexpensive and fast diagnosis of IDH status in standard 1H-magnetic resonance spectroscopy (1H-MRS). To this end, 30 of 34 consecutive patients with known or suspected glioma WHO grade II-IV were subjected to metabolic positron emission tomography (PET) imaging with O-(2-18F-fluoroethyl)-L-tyrosine (18F-FET) for optimized voxel placement in 1H-MRS. Routine 1H-magnetic resonance (1H-MR) spectra of tumor and contralateral healthy brain regions were acquired on a 3 Tesla magnetic resonance (3T-MR) scanner, prior to surgical tumor resection and molecular analysis of IDH status. Since 2-HG spectral signals were too overlapped for reliable discrimination of IDH mutated (IDHmut) and IDH wild-type (IDHwt) glioma, we used a nested cross-validation approach, whereby we trained a linear support vector machine (SVM) on the complete spectral information of the 1H-MRS data to predict IDH status. Using this approach, we predicted IDH status with an accuracy of 88.2%, a sensitivity of 95.5% (95% CI, 77.2–99.9%) and a specificity of 75.0% (95% CI, 42.9–94.5%), respectively. The area under the curve (AUC) amounted to 0.83. Subsequent ex vivo 1H-nuclear magnetic resonance (1H-NMR) measurements performed on metabolite extracts of resected tumor material (eight specimens) revealed myo-inositol (M-ins) and glycine (Gly) to be the major discriminators of IDH status. We conclude that our approach allows a reliable, non-invasive, fast and cost-effective prediction of IDH status in a standard clinical setting.

Folicular and Diffuse Large B Cell Lymphoma Can Be Distinguished by 1H -Magnetic Resonance Spectroscopy.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3584-3584
Author(s):  
Carolina Sanz ◽  
Ignasi Barba ◽  
Gustavo Tapia ◽  
Jose-Luis Mate ◽  
Angels Barbera ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
B Cell ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Resonance Spectroscopy ◽  
1H Mrs ◽  
Large B Cell Lymphoma ◽  
Large B Cell

Abstract Proton nuclear magnetic resonance spectroscopy (1H MRS) has proven useful in the metabolic characterization of neoplastic tissues both in vitro and in vivo. In vivo 1H MRS can be easily performed in conjunction with conventional MR imaging. Although 1H MRS studies of lymphoma have been performed both in cell lines and animal models, its usefulness as a differential diagnostic tool in lymphoma remains to be explored. T2-filtered high resolution proton magic-angle spinning (HRMAS) MRS of small tissue samples provides sufficient spectral resolution for the identification of chemical cell changes associated with malignancy. HRMAS data from 16 fresh frozen lymph nodes were studied. Histologically, 7 lymph nodes revealed grade I or II follicular lymphoma (FL) and 9 showed diffuse large B cell lymphoma (DLBCL). Each spectrum consisted of the accumulation of 64 scans with a CPMG sequence with an effective T2 delay of 32 ms and an overall experimental time of 6 minutes. Pattern recognition analysis was feasible in all cases except in one FL sample consisting almost exclusively of adipose tissue. Compared with DLBCL, FL cases showed increases in the signal intensity of resonances associted to taurine (3.43 ppm) and decreases in the signal intensity of resonances associated to alanine (1.47 ppm). The mean taurine/alanine ratio was 4.63 (95%SD 1.67) for FL and 1.41 (95%SD 0.69) for DLBCL (P = 0.004). The taurine/alanine ratio proved to be a powerful discriminator between FL and DLBCL at a 2.5 cutpoint, yelding a 90% specificity and an 83% sensitivity to identify DLBCL. Overlapping cases included a case of FL with a diffuse pattern and two cases of DLBCL evolving from indolent lymphomas. The 1H MRS assay proved that FL and DLBCL can be differentiated from a metabolomic standpoint and offers a unique way to explore the underlying biochemistry of malignant transformations. Unlike other techniques, MRS is potentially applicable in vivo and non-invasively in the diagnostic setting. The rapid assessment of nodes or masses before tissue sampling would allow preoperative decisions to be made more efficiently.

Biological NMR Spectroscopy

1997 ◽  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Nmr Spectroscopy ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
State Of The Art ◽  
Critical Assessment ◽  
Resonance Spectroscopy ◽  
History Of ◽  
Structure Of Proteins

This book presents a critical assessment of progress on the use of nuclear magnetic resonance spectroscopy to determine the structure of proteins, including brief reviews of the history of the field along with coverage of current clinical and in vivo applications. The book, in honor of Oleg Jardetsky, one of the pioneers of the field, is edited by two of the most highly respected investigators using NMR, and features contributions by most of the leading workers in the field. It will be valued as a landmark publication that presents the state-of-the-art perspectives regarding one of today's most important technologies.

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