Evidence map›Paper›PMID 28608161›Full record

ArticleEuropean radiology2017

The diagnostic value of high-frequency power-based diffusion-weighted imaging in prediction of neuroepithelial tumour grading.

Zhiye Chen, Peng Zhou, Bin Lv, Mengqi Liu, Yan Wang, Yulin Wang, Xin Lou, Qiuping Gui, Huiguang He, Lin Ma

Abstract readEvaluation Study
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In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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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

3 citing papers in PubMed.

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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

10 authors.

Zhiye ChenDepartment of Radiology, Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China.
Peng ZhouResearch Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Bin LvAcademy of Telecommunication Research of MIIT, Beijing, 100083, China.
Mengqi LiuDepartment of Radiology, Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China.
Yan WangDepartment of Radiology, Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China.
Yulin WangDepartment of Radiology, Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China.
Xin LouDepartment of Radiology, Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China.
Qiuping GuiDepartment of Pathology, Chinese PLA General Hospital, Beijing, 100853, China.
Huiguang HeResearch Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. huiguang.he@ia.ac.cn.
Lin MaDepartment of Radiology, Chinese PLA General Hospital, Fuxing Road 28, Beijing, 100853, China. cjr.malin@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo retrospectively evaluate the diagnostic value of high-frequency power (HFP) compared with the minimum apparent diffusion coefficient (MinADC) in the prediction of neuroepithelial tumour grading.

methodsDiffusion-weighted imaging (DWI) data were acquired on 115 patients by a 3.0-T MRI system, which included b0 images and b1000 images over the whole brain in each patient. The HFP values and MinADC values were calculated by an in-house script written on the MATLAB platform.

resultsThere was a significant difference among each group excluding grade I (G1) vs. grade II (G2) (P = 0.309) for HFP and among each group for MinADC. ROC analysis showed a higher discriminative accuracy between low-grade glioma (LGG) and high-grade glioma (HGG) for HFP with area under the curve (AUC) value 1 compared with that for MinADC with AUC 0.83 ± 0.04 and also demonstrated a higher discriminative ability among the G1-grade IV (G4) group for HFP compared with that for MinADC except G1 vs. G2.

conclusionsHFP could provide a simple and effective optimal tool for the prediction of neuroepithelial tumour grading based on diffusion-weighted images in routine clinical practice. KEY POINTS: • HFP shows positive correlation with neuroepithelial tumour grading. • HFP presents a good diagnostic efficacy for LGG and HGG. • HFP is helpful in the selection of brain tumour boundary.

Indexed as

AdolescentAdultAgedAged, 80 and overArea Under CurveBrain NeoplasmsChildChild, PreschoolDiffusion Magnetic Resonance ImagingFemaleGliomaHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingDiffusion-weighted imagingHigh-frequency powerMagnetic resonance imagingMinimum apparent diffusion coefficientNeuroepithelial tumour grading

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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.