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Multivoxel (1)H-MR Spectroscopy Biometrics for Preoprerative Differentiation Between Brain Tumors
We investigated multivoxel proton magnetic resonance spectroscopy ((1)H-MRS) biometrics for preoperative differentiation and prognosis of patients with brain metastases (MET), low-grade glioma (LGG) and high-grade glioma (HGG). In total, 33 patients (HGG, 14; LGG, 9; and 10 MET) were included. (1)H-...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Grapho Publications, LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299741/ https://www.ncbi.nlm.nih.gov/pubmed/30588503 http://dx.doi.org/10.18383/j.tom.2018.00051 |
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author | Durmo, Faris Rydelius, Anna Cuellar Baena, Sandra Askaner, Krister Lätt, Jimmy Bengzon, Johan Englund, Elisabet Chenevert, Thomas L. Björkman-Burtscher, Isabella M. Sundgren, Pia C. |
author_facet | Durmo, Faris Rydelius, Anna Cuellar Baena, Sandra Askaner, Krister Lätt, Jimmy Bengzon, Johan Englund, Elisabet Chenevert, Thomas L. Björkman-Burtscher, Isabella M. Sundgren, Pia C. |
author_sort | Durmo, Faris |
collection | PubMed |
description | We investigated multivoxel proton magnetic resonance spectroscopy ((1)H-MRS) biometrics for preoperative differentiation and prognosis of patients with brain metastases (MET), low-grade glioma (LGG) and high-grade glioma (HGG). In total, 33 patients (HGG, 14; LGG, 9; and 10 MET) were included. (1)H-MRS imaging (MRSI) data were assessed and neurochemical profiles for metabolites N-acetyl aspartate (NAA) + NAAG(NAA), Cr + PCr(total creatine, tCr), Glu + Gln(Glx), lactate (Lac), myo-inositol(Ins), GPC + PCho(total choline, tCho), and total lipids, and macromolecule (tMM) signals were estimated. Metabolites were reported as absolute concentrations or ratios to tCho or tCr levels. Voxels of interest in an MRSI matrix were labeled according to tissue. Logistic regression, receiver operating characteristic, and Kaplan–Meier survival analysis was performed. Across HGG, LGG, and MET, average Ins/tCho was shown to be prognostic for overall survival (OS): low values (≤1.29) in affected hemisphere predicting worse OS than high values (>1.29), (log rank < 0.007). Lip/tCho and Ins/tCho combined showed 100% sensitivity and specificity for both HGG/LGG (P < .001) and LGG/MET (P < .001) measured in nonenhancing/contrast-enhancing lesional tissue. Combining tCr/tCho in perilesional edema with tCho/tCr and NAA/tCho from ipsilateral normal- appearing tissue yielded 100% sensitivity and 81.8% specificity (P < .002) for HGG/MET. Best single biomarker: Ins/tCho for HGG/LGG and total lipid/tCho for LGG/MET showed 100% sensitivity and 75% and 100% specificity, respectively. HGG/MET; NAA/tCho showed 75% sensitivity and 84.6% specificity. Multivoxel 1H-MRSI provides prognostic information for OS for HGG/LGG/MET and a multibiometric approach for differentiation may equal or outperform single biometrics. |
format | Online Article Text |
id | pubmed-6299741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Grapho Publications, LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-62997412018-12-26 Multivoxel (1)H-MR Spectroscopy Biometrics for Preoprerative Differentiation Between Brain Tumors Durmo, Faris Rydelius, Anna Cuellar Baena, Sandra Askaner, Krister Lätt, Jimmy Bengzon, Johan Englund, Elisabet Chenevert, Thomas L. Björkman-Burtscher, Isabella M. Sundgren, Pia C. Tomography Research Articles We investigated multivoxel proton magnetic resonance spectroscopy ((1)H-MRS) biometrics for preoperative differentiation and prognosis of patients with brain metastases (MET), low-grade glioma (LGG) and high-grade glioma (HGG). In total, 33 patients (HGG, 14; LGG, 9; and 10 MET) were included. (1)H-MRS imaging (MRSI) data were assessed and neurochemical profiles for metabolites N-acetyl aspartate (NAA) + NAAG(NAA), Cr + PCr(total creatine, tCr), Glu + Gln(Glx), lactate (Lac), myo-inositol(Ins), GPC + PCho(total choline, tCho), and total lipids, and macromolecule (tMM) signals were estimated. Metabolites were reported as absolute concentrations or ratios to tCho or tCr levels. Voxels of interest in an MRSI matrix were labeled according to tissue. Logistic regression, receiver operating characteristic, and Kaplan–Meier survival analysis was performed. Across HGG, LGG, and MET, average Ins/tCho was shown to be prognostic for overall survival (OS): low values (≤1.29) in affected hemisphere predicting worse OS than high values (>1.29), (log rank < 0.007). Lip/tCho and Ins/tCho combined showed 100% sensitivity and specificity for both HGG/LGG (P < .001) and LGG/MET (P < .001) measured in nonenhancing/contrast-enhancing lesional tissue. Combining tCr/tCho in perilesional edema with tCho/tCr and NAA/tCho from ipsilateral normal- appearing tissue yielded 100% sensitivity and 81.8% specificity (P < .002) for HGG/MET. Best single biomarker: Ins/tCho for HGG/LGG and total lipid/tCho for LGG/MET showed 100% sensitivity and 75% and 100% specificity, respectively. HGG/MET; NAA/tCho showed 75% sensitivity and 84.6% specificity. Multivoxel 1H-MRSI provides prognostic information for OS for HGG/LGG/MET and a multibiometric approach for differentiation may equal or outperform single biometrics. Grapho Publications, LLC 2018-12 /pmc/articles/PMC6299741/ /pubmed/30588503 http://dx.doi.org/10.18383/j.tom.2018.00051 Text en © 2018 The Authors. Published by Grapho Publications, LLC http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Articles Durmo, Faris Rydelius, Anna Cuellar Baena, Sandra Askaner, Krister Lätt, Jimmy Bengzon, Johan Englund, Elisabet Chenevert, Thomas L. Björkman-Burtscher, Isabella M. Sundgren, Pia C. Multivoxel (1)H-MR Spectroscopy Biometrics for Preoprerative Differentiation Between Brain Tumors |
title | Multivoxel (1)H-MR Spectroscopy Biometrics for Preoprerative Differentiation Between Brain Tumors |
title_full | Multivoxel (1)H-MR Spectroscopy Biometrics for Preoprerative Differentiation Between Brain Tumors |
title_fullStr | Multivoxel (1)H-MR Spectroscopy Biometrics for Preoprerative Differentiation Between Brain Tumors |
title_full_unstemmed | Multivoxel (1)H-MR Spectroscopy Biometrics for Preoprerative Differentiation Between Brain Tumors |
title_short | Multivoxel (1)H-MR Spectroscopy Biometrics for Preoprerative Differentiation Between Brain Tumors |
title_sort | multivoxel (1)h-mr spectroscopy biometrics for preoprerative differentiation between brain tumors |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299741/ https://www.ncbi.nlm.nih.gov/pubmed/30588503 http://dx.doi.org/10.18383/j.tom.2018.00051 |
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