Novel application of chemical shift gradient echo in- and opposed-phase sequences in 3 T MRI for the detection of H-MRS visible lipids and grading of glioma.
Objectives: We evaluated the feasibility of using chemical shift gradient-echo (GE) in- and opposed-phase (IOP) imaging to grade glioma.Methods: A phantom study was performed to investigate the correlation of (1)H MRS-visible lipids with the signal loss ratio (SLR) obtained using IOP imaging. A cros...
| Published in: | European Radiology Vol. 26; no. 7; pp. 2019 - 2030 |
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| Main Authors: | , , , , , , , , , |
| Format: | diagnostic images pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Jul2016
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=116101211&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 116101211 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jul2016 vid: 26 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 116101211 116101211 NLM26560718 116101211 10.1007/s00330-015-4045-0 NLM26560718 PMC4902846 116101211 ppf: 2019 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Novel application of chemical shift gradient echo in- and opposed-phase sequences in 3 T MRI for the detection of H-MRS visible lipids and grading of glioma. aug: au: Ramli, Norlisah Khairy, Azua Seow, Pohchoo Tan, Li Wong, Jeannie Ganesan, Dharmendra Rahmat, Kartini Khairy, Azua Mohd Tan, Li Kuo Wong, Jeannie Hsiu Ding affil: Department of Biomedical Imaging, University Malaya Research Imaging Centre, University of Malaya, 59100 Kuala Lumpur Malaysia sug: subj: Magnetic Resonance Imaging Methods Glioma Magnetic Resonance Spectroscopy Methods Lipids Administration and Dosage Brain Neoplasms Young Adult Child Brain Neoplasms Classification Glioma Pathology Middle Age Brain Neoplasms Pathology Pilot Studies Adult Adolescence Phantoms, Imaging Male Female Aged Cross Sectional Studies Glioma Classification Human Child: 6-12 years Middle Aged: 45-64 years Adult: 19-44 years Adolescent: 13-18 years Aged: 65+ years Male Female ab: Objectives: We evaluated the feasibility of using chemical shift gradient-echo (GE) in- and opposed-phase (IOP) imaging to grade glioma.Methods: A phantom study was performed to investigate the correlation of (1)H MRS-visible lipids with the signal loss ratio (SLR) obtained using IOP imaging. A cross-sectional study approved by the institutional review board was carried out in 22 patients with different glioma grades. The patients underwent scanning using IOP imaging and single-voxel spectroscopy (SVS) using 3T MRI. The brain spectra acquisitions from solid and cystic components were obtained and correlated with the SLR for different grades.Results: The phantom study showed a positive linear correlation between lipid quantification at 0.9 parts per million (ppm) and 1.3 ppm with SLR (r = 0.79-0.99, p < 0.05). In the clinical study, we found that SLR at the solid portions was the best measure for differentiating glioma grades using optimal cut-points of 0.064 and 0.086 with classification probabilities for grade II (SII = 1), grade III (SIII = 0.50) and grade IV (SIV = 0.89).Conclusions: The results underscore the lipid quantification differences in grades of glioma and provide a more comprehensive characterization by using SLR in chemical shift GE IOP imaging. SLR in IOP sequence demonstrates good performance in glioma grading.Key Points: • Strong correlation was seen between lipid concentration and SLR obtained using IOP • IOP sequence demonstrates significant differences in signal loss within the glioma grades • SLR at solid tumour portions was the best measure for differentiation • This sequence is applicable in a research capacity for glioma staging armamentarium. pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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