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

Durmo F.; Rydelius A.; Engelholm S.; Kinhult S.; Cuellar-Baena S.; Askaner K.; Lätt J.; Bengzon J.; Englund E.; Björkman-Burtscher I.; Sundgren P.C.

doi:10.1007/s00234-018-2057-6

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

Durmo F., Rydelius A., Engelholm S., Kinhult S., Cuellar-Baena S., Askaner K., Lätt J., Bengzon J., Englund E., Björkman-Burtscher I., Sundgren P.C.

Forskningsoutput: Tidskriftsbidrag › Publicerat konferensabstract › Peer review

Sammanfattning

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

Originalspråk	engelska
Artikelnummer	1-O35
Sidor (från-till)	S444
Tidskrift	Neuroradiology
Volym	60
Nummer	S2
DOI	https://doi.org/10.1007/s00234-018-2057-6
Status	Published - 2018 sep.

Bibliografisk information

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

Ämnesklassifikation (UKÄ)

Radiologi och bildbehandling

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10.1007/s00234-018-2057-6

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@article{179240a97a204423b7c9c6a7e5645b9e,

title = "Multivoxel 1H MR spectroscopy biometrics for preoprerative differentiation between brain tumors",

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",

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",

author = "Durmo F. and Rydelius A. and Engelholm S. and Kinhult S. and Cuellar-Baena S. and Askaner K. and L{\"a}tt J. and Bengzon J. and Englund E. and Bj{\"o}rkman-Burtscher I. and Sundgren P.C.",

note = "M1 - (Durmo F.; Cuellar-Baena S.; Askaner K.; L{\"a}tt J.; Bj{\"o}rkman-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",

year = "2018",

month = sep,

doi = "10.1007/s00234-018-2057-6",

language = "English",

volume = "60",

pages = "S444",

journal = "Neuroradiology",

issn = "1432-1920",

publisher = "Springer",

number = "S2",

}

TY - JOUR

T1 - Multivoxel 1H MR spectroscopy biometrics for preoprerative differentiation between brain tumors

AU - F., Durmo

AU - A., Rydelius

AU - S., Engelholm

AU - S., Kinhult

AU - S., Cuellar-Baena

AU - K., Askaner

AU - J., Lätt

AU - J., Bengzon

AU - E., Englund

AU - I., Björkman-Burtscher

AU - P.C., Sundgren

N1 - 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

PY - 2018/9

Y1 - 2018/9

N2 - 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

AB - 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

KW - biological marker

KW - choline

KW - chromium

KW - creatine

KW - endogenous compound

KW - lipid

KW - adult

KW - biometry

KW - brain tumor

KW - cancer patient

KW - cancer prognosis

KW - cancer survival

KW - clinical article

KW - conference abstract

KW - controlled study

KW - data analysis software

KW - differentiation

KW - edema

KW - female

KW - glioma

KW - human

KW - macromolecule

KW - male

KW - metastasis

KW - overall survival

KW - proton nuclear magnetic resonance

KW - sensitivity and specificity

KW - survival analysis

U2 - 10.1007/s00234-018-2057-6

DO - 10.1007/s00234-018-2057-6

M3 - Published meeting abstract

C2 - 30112617

SN - 1432-1920

VL - 60

SP - S444

JO - Neuroradiology

JF - Neuroradiology

IS - S2

M1 - 1-O35

ER -

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

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Bibliografisk information

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