Evidence map›Paper›PMID 25380185›Full record

SynthesisPloS one2014

The value of diffusion tensor imaging in differentiating high-grade gliomas from brain metastases: a systematic review and meta-analysis.

Rui Jiang, Fei-Zhou Du, Ci He, Ming Gu, Zhen-Wu Ke, Jian-Hao Li

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Article
  3. Imaging in Neuro-oncology.Seminars in neurology · 2025
    Review
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  12. MRI biomarkers in neuro-oncology.Nature reviews. Neurology · 2021
    Review
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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

6 authors.

Rui JiangDepartment of Medical Imaging, Chengdu Military General Hospital, Chengdu, China.
Fei-Zhou DuDepartment of Medical Imaging, Chengdu Military General Hospital, Chengdu, China.
Ci HeDepartment of Medical Imaging, Chengdu Military General Hospital, Chengdu, China.
Ming GuDepartment of Medical Imaging, Chengdu Military General Hospital, Chengdu, China.
Zhen-Wu KeDepartment of Medical Imaging, Chengdu Military General Hospital, Chengdu, China.
Jian-Hao LiDepartment of Medical Imaging, Chengdu Military General Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDifferentiation of high-grade gliomas and solitary brain metastases is an important clinical issue because the treatment strategies differ greatly. Our study aimed to investigate the potential value of diffusion tensor imaging (DTI) in differentiating high-grade gliomas from brain metastases using a meta-analytic approach. MATERIALS AND

methodsWe searched Pubmed, Embase and the Cochrane Library for relevant articles published in English. Studies that both investigated high-grade gliomas and brain metastases using DTI were included. Random effect model was used to compare fractional anisotropy (FA) and mean diffusivity (MD) values in the two tumor entities.

resultsNine studies were included into the meta-analysis. In the peritumoral region, compared with brain metastases, high-grade gliomas had a significant increase of FA (SMD  = 0.47; 95% CI, 0.22-0.71; P<0.01) and a significant decrease of MD (SMD  = -1.49; 95% CI, -1.91 to -1.06; P<0.01). However, in the intratumoral area, no significant change in FA (SMD  = 0.16; 95% CI, -0.49 to 0.82; P = 0.73) or MD (SMD  = 0.34; 95% CI, -0.91 to 1.60; P = 0.59) was detected between gliomas and metastases.

conclusionsHigh-grade gliomas may be distinguished from brain metastases by comparing the peritumoral FA and MD values. DTI appears to be a promising tool in diagnosing solitary intracranial lesions.

Indexed as

AnisotropyBrainBrain NeoplasmsDiagnosis, DifferentialDiffusion Tensor ImagingGliomaHumansReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID25380185
PMCPMC4224505

What OpenQuestion holds

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Registered trials

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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.