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Multivoxel 1H MR spectroscopy biometrics for preoprerative differentiation between brain tumors

F., Durmo LU ; A., Rydelius LU ; S., Engelholm; S., Kinhult LU ; S., Cuellar-Baena LU ; K., Askaner LU ; J., Lätt LU ; J., Bengzon LU ; E., Englund LU and I., Björkman-Burtscher LU , et al. (2018) In Neuroradiology 60(S2). p.444-444
Abstract
Purpose To investigate multivoxel proton Magnetic Resonance Spectroscopy (1HMRS) biometrics for preoperative differentiation and prognosis of patients with brain metastases (MET), low-(LGG) and high grade glioma (HGG). Methods Thirty-five patients (15 HGG, 9 LGG and 11 MET) were included. Proton Magnetic Resonance Spectroscopy Imaging(1H-MRSI) data was assessed and neurochemical profiles for metabolites (NAA+NAAG, Cr+PCr, Glu+Gln (Glx), Lac, Ins, GPC+PCho) and total Lipids (tLip) and macromolecule (tMM) signals were estimated. Concentrations were reported as either absolute or ratios to total choline (tCho=GPC+PCho) and creatine (tCr=Cr+PCr) levels. Voxels of interest (VOIs) in a MRSI matrix were labelled accordingly to... (More)
Purpose To investigate multivoxel proton Magnetic Resonance Spectroscopy (1HMRS) biometrics for preoperative differentiation and prognosis of patients with brain metastases (MET), low-(LGG) and high grade glioma (HGG). Methods Thirty-five patients (15 HGG, 9 LGG and 11 MET) were included. Proton Magnetic Resonance Spectroscopy Imaging(1H-MRSI) data was assessed and neurochemical profiles for metabolites (NAA+NAAG, Cr+PCr, Glu+Gln (Glx), Lac, Ins, GPC+PCho) and total Lipids (tLip) and macromolecule (tMM) signals were estimated. Concentrations were reported as either absolute or ratios to total choline (tCho=GPC+PCho) and creatine (tCr=Cr+PCr) levels. Voxels of interest (VOIs) in a MRSI matrix were labelled accordingly to contrast-enhancing/nonenhancing lesional, edema, ipsi- or contralateral healthy appearing tissue and the metabolite averages were reported for each tissue type. Multi-biometric analysis with logistic regression, ROC- and Kaplan-Meier survival analysis was performed in SPSS v.24 and postprocessing with LC Model. Results Across HGG/LGG/MET; the average Ins/tCho was shown to be prognostic for overall survival (OS): with low values (≤1.29) in affected hemisphere predicting worse OS than high values (>1.29), (Log Rank (Less)
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keywords
biological marker, choline, chromium, creatine, endogenous compound, lipid, adult, biometry, brain tumor, cancer patient, cancer prognosis, cancer survival, clinical article, conference abstract, controlled study, data analysis software, differentiation, edema, female, glioma, human, macromolecule, male, metastasis, overall survival, proton nuclear magnetic resonance, sensitivity and specificity, survival analysis
in
Neuroradiology
volume
60
issue
S2
pages
444 - 444
publisher
Springer Verlag
external identifiers
  • scopus:85057563099
ISSN
1432-1920
DOI
10.1007/s00234-018-2057-6
language
English
LU publication?
yes
id
179240a9-7a20-4423-b7c9-c6a7e5645b9e
date added to LUP
2019-02-14 10:19:53
date last changed
2019-03-08 02:20:25
@misc{179240a9-7a20-4423-b7c9-c6a7e5645b9e,
  abstract     = {Purpose To investigate multivoxel proton Magnetic Resonance Spectroscopy (1HMRS) biometrics for preoperative differentiation and prognosis of patients with brain metastases (MET), low-(LGG) and high grade glioma (HGG). Methods Thirty-five patients (15 HGG, 9 LGG and 11 MET) were included. Proton Magnetic Resonance Spectroscopy Imaging(1H-MRSI) data was assessed and neurochemical profiles for metabolites (NAA+NAAG, Cr+PCr, Glu+Gln (Glx), Lac, Ins, GPC+PCho) and total Lipids (tLip) and macromolecule (tMM) signals were estimated. Concentrations were reported as either absolute or ratios to total choline (tCho=GPC+PCho) and creatine (tCr=Cr+PCr) levels. Voxels of interest (VOIs) in a MRSI matrix were labelled accordingly to contrast-enhancing/nonenhancing lesional, edema, ipsi- or contralateral healthy appearing tissue and the metabolite averages were reported for each tissue type. Multi-biometric analysis with logistic regression, ROC- and Kaplan-Meier survival analysis was performed in SPSS v.24 and postprocessing with LC Model. Results Across HGG/LGG/MET; the average Ins/tCho was shown to be prognostic for overall survival (OS): with low values (≤1.29) in affected hemisphere predicting worse OS than high values (>1.29), (Log Rank},
  articleno    = {1-O35},
  author       = {F., Durmo and A., Rydelius and S., Engelholm and S., Kinhult and S., Cuellar-Baena and K., Askaner and J., Lätt and J., Bengzon and E., Englund and I., Björkman-Burtscher and P.C., Sundgren},
  issn         = {1432-1920},
  keyword      = {biological marker,choline,chromium,creatine,endogenous compound,lipid,adult,biometry,brain tumor,cancer patient,cancer prognosis,cancer survival,clinical article,conference abstract,controlled study,data analysis software,differentiation,edema,female,glioma,human,macromolecule,male,metastasis,overall survival,proton nuclear magnetic resonance,sensitivity and specificity,survival analysis},
  language     = {eng},
  note         = {Conference Abstract},
  number       = {S2},
  pages        = {444--444},
  publisher    = {Springer Verlag},
  series       = {Neuroradiology},
  title        = {Multivoxel 1H MR spectroscopy biometrics for preoprerative differentiation between brain tumors},
  url          = {http://dx.doi.org/10.1007/s00234-018-2057-6},
  volume       = {60},
  year         = {2018},
}