Multivoxel 1H MR spectroscopy biometrics for preoprerative differentiation between brain tumors
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/179240a9-7a20-4423-b7c9-c6a7e5645b9e
- author
- organization
-
- BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation
- Diagnostic Radiology, (Lund)
- Neuroradiology (research group)
- Tumor microenvironment
- Radiology Diagnostics, Malmö (research group)
- MR Physics (research group)
- Medical Radiation Physics, Lund
- StemTherapy: National Initiative on Stem Cells for Regenerative Therapy
- Neurosurgery
- publishing date
- 2018-09
- type
- Contribution to journal
- publication status
- published
- subject
- 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
- article number
- 1-O35
- pages
- 444 - 444
- publisher
- Springer
- external identifiers
-
- pmid:30112617
- scopus:85057563099
- ISSN
- 1432-1920
- DOI
- 10.1007/s00234-018-2057-6
- language
- English
- LU publication?
- yes
- additional info
- M1 - (Durmo F.; Cuellar-Baena S.; Askaner K.; Lätt J.; Björkman-Burtscher I.) Institution of Clinical Sciences Skane University Hospital SUS, Lund University, Department of Radiology, Lund, Sweden M1 - (Rydelius A.) Institution of Clinical Sciences Skane University Hospital SUS, Lund University, Department of Neurology, Lund, Sweden M1 - (Engelholm S.; Kinhult S.) Institution of Clinical Sciences Skane University Hospital SUS, Lund University, Department of Oncology, Lund, Sweden M1 - (Bengzon J.) Institution of Clinical Sciences Skane University Hospital SUS, Lund University, Department of Neurosurgery, Lund, Sweden M1 - (Englund E.) Institution of Clinical Sciences Skane University Hospital SUS, Lund University, Department of Pathology, Lund, Sweden M1 - (Sundgren P.C.) Institution of Clinical Sciences Skane University Hospital SUS, Lund University, Department of Radiology and Neurology, Lund, Sweden
- id
- 179240a9-7a20-4423-b7c9-c6a7e5645b9e
- date added to LUP
- 2019-02-14 10:19:53
- date last changed
- 2021-04-20 04:52:35
@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}}, 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}}, 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}}, language = {{eng}}, note = {{Conference Abstract}}, number = {{S2}}, pages = {{444--444}}, publisher = {{Springer}}, 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}}, doi = {{10.1007/s00234-018-2057-6}}, volume = {{60}}, year = {{2018}}, }