ArticleEuropean radiology2008
Proton MR spectroscopy of cerebral gliomas at 3 T: spatial heterogeneity, and tumour grade and extent.
Article in European radiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The diagnostic performance of magnetic resonance spectroscopy in differentiating high-from low-grade gliomas: A systematic review and meta-analysis.European radiology · 2016Pooled it
- Radiomics features for the discrimination of tuberculomas from high grade gliomas and metastasis: a multimodal study.Neuroradiology · 2024Article
- The Role of Multimodal Imaging in Differentiating Vasogenic from Infiltrative Edema: A Systematic Review.The Indian journal of radiology & imaging · 2023Review
- Metabolic and physiologic magnetic resonance imaging in distinguishing true progression from pseudoprogression in patients with glioblastoma.NMR in biomedicine · 2022Review
- In vivo biochemical investigation of spermatogenic status: 1H-MR spectroscopy of testes with nonobstructive azoospermia.European radiology · 2020Article
- Multivariable non-invasive association of isocitrate dehydrogenase mutational status in World Health Organization grade II and III gliomas with advanced magnetic resonance imaging T2 mapping techniques.The neuroradiology journal · 2020Article
- Three-dimensional echo planar spectroscopic imaging for differentiation of true progression from pseudoprogression in patients with glioblastoma.NMR in biomedicine · 2019Article
- Comparison among conventional and advanced MRI,Oncotarget · 2017Article
- Mesoscopic imaging of glioblastomas: Are diffusion, perfusion and spectroscopic measures influenced by the radiogenetic phenotype?The neuroradiology journal · 2017Article
- Simulating the Effect of Spectroscopic MRI as a Metric for Radiation Therapy Planning in Patients with Glioblastoma.Tomography (Ann Arbor, Mich.) · 2016Article
- Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients.Neuro-oncology · 2016Article
- MR Spectra of Normal Adult Testes and Variations with Age: Preliminary Observations.European radiology · 2016Article
- Integrative Network-based Analysis of Magnetic Resonance Spectroscopy and Genome Wide Expression in Glioblastoma multiforme.Scientific reports · 2016Article
- A systematic pipeline for the objective comparison of whole-brain spectroscopic MRI with histology in biopsy specimens from grade III glioma.Tomography (Ann Arbor, Mich.) · 2016Article
- Proton MRS imaging in pediatric brain tumors.Pediatric radiology · 2016Article
- Diagnosis and New Treatment Modalities for Glioblastoma: Do They Improve Patient Survival?Current molecular medicine · 2016Article
- Fast spectroscopic multiple analysis (FASMA) for brain tumor classification: a clinical decision support system utilizing multi-parametric 3T MR data.International journal of computer assisted radiology and surgery · 2015Article
- Convex-Envelope Based Automated Quantitative Approach to Multi-Voxel 1H-MRS Applied to Brain Tumor Analysis.PloS one · 2015Article
- Integrated analysis identifies different metabolic signatures for tumor-initiating cells in a murine glioblastoma model.Neuro-oncology · 2014Article
- Recurrent glioblastoma multiforme versus radiation injury: a multiparametric 3-T MR approach.La Radiologia medica · 2014Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to evaluate the usefulness of proton MR spectroscopic imaging ((1)H-MRSI) at 3 T in differentiating high- from low-grade gliomas, and tumour from necrosis, oedema or normal tissue. Forty-four patients with brain gliomas and four with meningiomas were retrospectively reviewed. The normalised metabolites choline (nCho), N-acetylaspartate (nNAA), creatine (nCr) and lactate/lipids (nLL), and the metabolite ratios Cho/NAA, NAA/Cr and Cho/Cr were calculated. Necrotic-appearing areas showed two spectroscopic patterns: "necrosis" with variable nCho and high nLL, and "cystic necrosis" with variable nLL or nonevident peaks. Peri-enhancing oedematous-appearing areas showed three spectroscopic patterns ("tumour" with abnormal Cho/NAA, "oedema" with normal Cho/NAA and "tumour/oedema" with normal nCho and abnormal Cho/NAA) in gliomas, and one ("oedema") in meningiomas. Peri-enhancing or peri-tumour normal-appearing areas showed two patterns ("infiltrated" with abnormal nCho and/or Cho/NAA and "normal" with normal spectra) in gliomas and one ("normal") in meningiomas. Discriminant analysis showed that classification accuracy between high- and low-grade glioma masses was better with normalised metabolites or all parameters together than metabolite ratios and that among peri-enhancing areas was much better with normalised metabolites. The analysis of spatial distribution of normalised metabolites by 3-T (1)H-MRSI helps to discriminate among different tissues, offering information not available with conventional MRI.
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Registered trials
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