Evidence map›Paper›PMID 29797290›Full record

ArticleNeuroradiology2018

Diagnostic accuracy of diffusion weighted imaging for differentiation of supratentorial pilocytic astrocytoma and pleomorphic xanthoastrocytoma.

Dejun She, Jianyi Liu, Z Zeng, Z Xing, Dairong Cao

Open access · hybridAbstract read
In one paragraph

Article in Neuroradiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Dejun SheDepartment of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, 350005, Fuzhou, Fujian, People's Republic of China.
Jianyi LiuDepartment of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, 350005, Fuzhou, Fujian, People's Republic of China.
Z ZengDepartment of Medical Imaging Technology, College of Medical Technology and Engineering, Fujian Medical University, 350108, Fuzhou, Fujian, People's Republic of China.
Z XingDepartment of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, 350005, Fuzhou, Fujian, People's Republic of China.
Dairong CaoDepartment of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, 350005, Fuzhou, Fujian, People's Republic of China. dairongcao@163.com.ORCID http://orcid.org/0000-0002-0051-3143
Fujian Medical University · CN

Funding

the Leading Project of the Department of Science and Technology of Fujian Province No. 2016Y0042
6 · The paper itself

Abstract

purposeSupratentorial pilocytic astrocytoma (PA) may mimic pleomorphic xanthoastrocytoma (PXA) on conventional MR imaging, and a differentiation is clinically important because of distinct recurrence rate and anaplastic transformation rate. The purpose of this study was to investigate the diagnostic potential of diffusion-weighted imaging (DWI) in differentiating supratentorial PA from PXA.

methodsWe retrospectively reviewed DWI and conventional MR imaging of 16 patients with supratentorial PA and 8 patients with PXA. Variables of mean ADC values (ADC

resultsBoth ADC

conclusionDWI is helpful in characterization and differentiation of supratentorial PA from PXA.

Indexed as

AdolescentAdultAgedAstrocytomaBrain NeoplasmsChildChild, PreschoolContrast MediaDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleHumansInfantMaleMiddle AgedRetrospective StudiesContrast MediaDiffusion-weighted imagingPleomorphic xanthoastrocytomaSupratentorial pilocytic astrocytoma

Identifiers

PMID29797290
PMCPMC5996010
OpenAlexW2803101118

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.