Evidence map›Paper›PMID 26560718›Full record

ArticleEuropean radiology2016

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.

Norlisah Ramli, Azua Mohd Khairy, Pohchoo Seow, Li Kuo Tan, Jeannie Hsiu Ding Wong, Dharmendra Ganesan, Kartini Rahmat

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In one paragraph

Article in European radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Norlisah RamliDepartment of Biomedical Imaging, University Malaya Research Imaging Centre, University of Malaya, 59100, Kuala Lumpur, Malaysia. norlisahramli@gmail.com.
Azua Mohd KhairyDepartment of Radiology, Sultan Ismail Hospital, Jalan Persiaran Mutiara Emas Utama, Taman Mount Austin, 81100, Johor Bahru, Malaysia.
Pohchoo SeowDepartment of Biomedical Imaging, University Malaya Research Imaging Centre, University of Malaya, 59100, Kuala Lumpur, Malaysia.
Li Kuo TanDepartment of Biomedical Imaging, University Malaya Research Imaging Centre, University of Malaya, 59100, Kuala Lumpur, Malaysia.
Jeannie Hsiu Ding WongDepartment of Biomedical Imaging, University Malaya Research Imaging Centre, University of Malaya, 59100, Kuala Lumpur, Malaysia.
Dharmendra GanesanDivision of Neurosurgery, Department of Surgery, University of Malaya, 59100, Kuala Lumpur, Malaysia.
Kartini RahmatDepartment of Biomedical Imaging, University Malaya Research Imaging Centre, University of Malaya, 59100, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe evaluated the feasibility of using chemical shift gradient-echo (GE) in- and opposed-phase (IOP) imaging to grade glioma.

methodsA 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.

resultsThe 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).

conclusionsThe 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.

Indexed as

AdolescentAdultAgedBrain NeoplasmsChildCross-Sectional StudiesFeasibility StudiesFemaleGliomaHumansLipidsMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleMiddle AgedPhantoms, ImagingLipidsGlioma classificationIn- and opposed-phase imagingLipid phantomMagnetic resonance spectroscopyVolume under the receiver operating curve surface

Identifiers

PMID26560718
PMCPMC4902846

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.