Proton MR spectroscopy of cerebral gliomas at 3 T: spatial heterogeneity, and tumour grade and extent
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 no...
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Veröffentlicht in: | European radiology 2008-08, Vol.18 (8), p.1727-1735 |
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Sprache: | eng |
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Zusammenfassung: | 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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ISSN: | 0938-7994 1432-1084 |
DOI: | 10.1007/s00330-008-0938-5 |