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Alcicek S, Ronellenfitsch MW, Steinbach JP, Manzhurtsev A, Thomas DC, Weber KJ, Prinz V, Forster MT, Hattingen E, Pilatus U, Wenger KJ. Optimized Long-TE 1H sLASER MR Spectroscopic Imaging at 3T for Separate Quantification of Glutamate and Glutamine in Glioma. J Magn Reson Imaging 2025. [PMID: 40197808 DOI: 10.1002/jmri.29787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2025] [Revised: 03/24/2025] [Accepted: 03/26/2025] [Indexed: 04/10/2025] Open
Abstract
BACKGROUND Glutamate and glutamine are critical metabolites in gliomas, each serving distinct roles in tumor biology. Separate quantification of these metabolites using in vivo MR spectroscopy (MRS) at clinical field strengths (≤ 3T) is hindered by their molecular similarity, resulting in overlapping, hence indistinguishable, spectral peaks. PURPOSE To develop an MRS imaging (MRSI) protocol to map glutamate and glutamine separately at 3T within clinically feasible time, using J-modulation to enhance spectral differentiation, demonstrate its reliability/reproducibility, and quantify the metabolites in glioma subregions. STUDY TYPE Prospective. POPULATION Phantoms, 5 healthy subjects, and 30 patients with suspected glioma. IDH wild-type glioblastoma cases were evaluated to establish a uniform group. FIELD STRENGTH/SEQUENCE 3T, Research protocol: 2D 1H sLASER MRSI (40 and 120 ms TE) with water reference, 3D T1-weighted and 2D T2-weighted. Trial-screening process: T1-weighted, T1-weighted contrast-enhanced, T2-weighted, FLAIR. ASSESSMENT Spectral simulations and phantom measurements were performed to design and validate the protocol. Spectral quality/fitting parameters for scan-rescan measurements were obtained using LCModel. The proposed long-TE data were compared with short-TE data. BraTS Toolkit was employed for fully automated tumor segmentation. STATISTICAL TESTS Scan-rescan comparison was performed using Bland-Altman analysis. LCModel coefficient of modeling covariance (CMC) between glutamate and glutamine was mapped to evaluate their model interactions for each spectral fitting. Metabolite levels in tumor subregions were compared using one-way ANOVA and Kruskal-Wallis. A p value < 0.05 was considered statistically significant. RESULTS Spectral quality/fitting parameters and metabolite levels were highly consistent between scan-rescan measurements. A negative association between glutamate and glutamine models at short TE (CMC = -0.16 ± 0.06) was eliminated at long TE (0.01 ± 0.05). Low glutamate in tumor subregions (non-enhancing-tumor-core: 5.35 ± 4.45 mM, surrounding-non-enhancing-FLAIR-hyperintensity: 7.39 ± 2.62 mM, and enhancing-tumor: 7.60 ± 4.16 mM) was found compared to contralateral (10.84 ± 2.94 mM), whereas glutamine was higher in surrounding-non-enhancing-FLAIR-hyperintensity (9.17 ± 6.84 mM) and enhancing-tumor (7.20 ± 4.42 mM), but not in non-enhancing-tumor-core (4.92 ± 3.38 mM, p = 0.18) compared to contralateral (2.94 ± 1.35 mM). DATA CONCLUSION The proposed MRSI protocol (~12 min) enables separate mapping of glutamate and glutamine reliably along with other MRS-detectable standard metabolites in glioma subregions at 3T. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Seyma Alcicek
- Goethe University Frankfurt, University Hospital, Institute of Neuroradiology, Frankfurt am Main, Germany
- University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany
- LOEWE Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Germany and German Cancer Consortium (DKTK), Frankfurt am Main, Germany
| | - Michael W Ronellenfitsch
- University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany
- LOEWE Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Germany and German Cancer Consortium (DKTK), Frankfurt am Main, Germany
- Goethe University Frankfurt, University Hospital, Dr. Senckenberg Institute of Neurooncology, Frankfurt am Main, Germany
| | - Joachim P Steinbach
- University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany
- LOEWE Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Germany and German Cancer Consortium (DKTK), Frankfurt am Main, Germany
- Goethe University Frankfurt, University Hospital, Dr. Senckenberg Institute of Neurooncology, Frankfurt am Main, Germany
| | - Andrei Manzhurtsev
- Goethe University Frankfurt, University Hospital, Institute of Neuroradiology, Frankfurt am Main, Germany
| | - Dennis C Thomas
- Goethe University Frankfurt, University Hospital, Institute of Neuroradiology, Frankfurt am Main, Germany
- University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany
- LOEWE Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Germany and German Cancer Consortium (DKTK), Frankfurt am Main, Germany
| | - Katharina J Weber
- University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany
- LOEWE Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Germany and German Cancer Consortium (DKTK), Frankfurt am Main, Germany
- Goethe University Frankfurt, University Hospital, Institute of Neurology (Edinger-Institute), Frankfurt am Main, Germany
| | - Vincent Prinz
- Goethe University Frankfurt, University Hospital, Department of Neurosurgery, Frankfurt am Main, Germany
| | - Marie-Thérèse Forster
- Goethe University Frankfurt, University Hospital, Department of Neurosurgery, Frankfurt am Main, Germany
| | - Elke Hattingen
- Goethe University Frankfurt, University Hospital, Institute of Neuroradiology, Frankfurt am Main, Germany
- University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany
- LOEWE Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Germany and German Cancer Consortium (DKTK), Frankfurt am Main, Germany
| | - Ulrich Pilatus
- Goethe University Frankfurt, University Hospital, Institute of Neuroradiology, Frankfurt am Main, Germany
| | - Katharina J Wenger
- Goethe University Frankfurt, University Hospital, Institute of Neuroradiology, Frankfurt am Main, Germany
- University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany
- LOEWE Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Germany and German Cancer Consortium (DKTK), Frankfurt am Main, Germany
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Perera Molligoda Arachchige AS, Meuli S, Centini FR, Stomeo N, Catapano F, Politi LS. Evaluating the role of 7-Tesla magnetic resonance imaging in neurosurgery: Trends in literature since clinical approval. World J Radiol 2024; 16:274-293. [PMID: 39086607 PMCID: PMC11287432 DOI: 10.4329/wjr.v16.i7.274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 05/08/2024] [Accepted: 06/17/2024] [Indexed: 07/24/2024] Open
Abstract
BACKGROUND After approval for clinical use in 2017, early investigations of ultra-high-field abdominal magnetic resonance imaging (MRI) have demonstrated its feasibility as well as diagnostic capabilities in neuroimaging. However, there are no to few systematic reviews covering the entirety of its neurosurgical applications as well as the trends in the literature with regard to the aforementioned application. AIM To assess the impact of 7-Tesla MRI (7T MRI) on neurosurgery, focusing on its applications in diagnosis, treatment planning, and postoperative assessment, and to systematically analyze and identify patterns and trends in the existing literature related to the utilization of 7T MRI in neurosurgical contexts. METHODS A systematic search of PubMed was conducted for studies published between January 1, 2017, and December 31, 2023, using MeSH terms related to 7T MRI and neurosurgery. The inclusion criteria were: Studies involving patients of all ages, meta-analyses, systematic reviews, and original research. The exclusion criteria were: Pre-prints, studies with insufficient data (e.g., case reports and letters), non-English publications, and studies involving animal subjects. Data synthesis involved standardized extraction forms, and a narrative synthesis was performed. RESULTS We identified 219 records from PubMed within our defined period, with no duplicates or exclusions before screening. After screening, 125 articles were excluded for not meeting inclusion criteria, leaving 94 reports. Of these, 2 were irrelevant to neurosurgery and 7 were animal studies, resulting in 85 studies included in our systematic review. Data were categorized by neurosurgical procedures and diseases treated using 7T MRI. We also analyzed publications by country and the number of 7T MRI facilities per country was also presented. Experimental studies were classified into comparison and non-comparison studies based on whether 7T MRI was compared to lower field strengths. CONCLUSION 7T MRI holds great potential in improving the characterization and understanding of various neurological and psychiatric conditions that may be neurosurgically treated. These include epilepsy, pituitary adenoma, Parkinson's disease, cerebrovascular diseases, trigeminal neuralgia, traumatic head injury, multiple sclerosis, glioma, and psychiatric disorders. Superiority of 7T MRI over lower field strengths was demonstrated in terms of image quality, lesion detection, and tissue characterization. Findings suggest the need for accelerated global distribution of 7T magnetic resonance systems and increased training for radiologists to ensure safe and effective integration into routine clinical practice.
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Affiliation(s)
| | - Sarah Meuli
- Faculty of Medicine, Humanitas University, Pieve Emanuele, Milan 20072, Italy
| | | | - Niccolò Stomeo
- Department of Anaesthesiology and Intensive Care, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, Milan 20089, Italy
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20090 Pieve Emanuele - Milan, Italy
| | - Federica Catapano
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20090 Pieve Emanuele - Milan, Italy
- IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano - Milan, Italy
| | - Letterio S Politi
- Department of Biomedical Sciences, Humanitas University, via Rita Levi Montalcini 4, 20090 Pieve Emanuele - Milan, Italy
- Department of Neuroradiology, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, Milan 20089, Italy
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Sun W, Xu D, Yang Y, Wen L, Yu H, Xing Y, Song X, Li H, Xu H. Improved Detection of Target Metabolites in Brain Tumors with Intermediate TE, High SNR, and High Bandwidth Spin-Echo Sequence at 5T. AJNR Am J Neuroradiol 2024; 45:461-467. [PMID: 38453417 PMCID: PMC11288575 DOI: 10.3174/ajnr.a8150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 11/06/2023] [Indexed: 03/09/2024]
Abstract
BACKGROUND AND PURPOSE Due to high chemical shift displacement, challenges emerge at ultra-high fields when measuring metabolites using 1H-MRS. Our goal was to investigate how well the high SNR and high bandwidth spin-echo (HISE) technique perform at 5T for detecting target metabolites in brain tumors. MATERIALS AND METHODS Twenty-six subjects suspected of having brain tumors were enrolled. HISE and point-resolved spectroscopy (PRESS) single-voxel spectroscopy scans were collected with a 5T clinical scanner with an intermediate TE (TE = 144 ms). The main metabolites, including total NAA, Cr, and total Cho, were accessed and compared between HISE and PRESS using a paired Student t test, with full width at half maximum and SNR as covariates. The detection rate of specific metabolites, including lactate, alanine, and lipid, and subjective spectral quality were accessed and compared between HISE and PRESS. RESULTS Twenty-three pathologically confirmed brain tumors were included. Only the full width at half maximum for total NAA was significantly lower with HISE than with PRESS (P < .05). HISE showed a significantly higher SNR for total NAA, Cr, and total Cho compared with PRESS (P < .05). Lactate was detected in 21 of the 23 cases using HISE, but in only 4 cases using PRESS. HISE detected alanine in 8 of 9 meningiomas, whereas PRESS detected alanine in just 3 meningiomas. PRESS found lipid in more cases than HISE, while HISE outperformed PRESS in terms of subjective spectral quality. CONCLUSIONS HISE outperformed the clinical standard PRESS technique in detecting target metabolites of brain tumors at 5T, particularly lactate and alanine.
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Affiliation(s)
- Wenbo Sun
- From the Department of Radiology (W.S., H.L., H.X.), Zhongnan Hospital of Wuhan University, Wuhan, Hubei, P.R. China
| | - Dan Xu
- Department of Nuclear Medicine (D.X.), Zhongnan Hospital of Wuhan University, Wuhan, Hubei, P.R. China
| | - YanXing Yang
- United-Imaging Healthcare (Y.Y., L.W., H.Y., Y.X., X.S.), Shanghai, China
| | - Linfei Wen
- United-Imaging Healthcare (Y.Y., L.W., H.Y., Y.X., X.S.), Shanghai, China
| | - Hanjiang Yu
- United-Imaging Healthcare (Y.Y., L.W., H.Y., Y.X., X.S.), Shanghai, China
| | - Yaowen Xing
- United-Imaging Healthcare (Y.Y., L.W., H.Y., Y.X., X.S.), Shanghai, China
| | - Xiaopeng Song
- United-Imaging Healthcare (Y.Y., L.W., H.Y., Y.X., X.S.), Shanghai, China
| | - Huan Li
- From the Department of Radiology (W.S., H.L., H.X.), Zhongnan Hospital of Wuhan University, Wuhan, Hubei, P.R. China
| | - Haibo Xu
- From the Department of Radiology (W.S., H.L., H.X.), Zhongnan Hospital of Wuhan University, Wuhan, Hubei, P.R. China
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