Evidence map›Paper›PMID 31996968›Full record

ArticleNeuroradiology2020

Differentiating microcystic meningioma from atypical meningioma using diffusion-weighted imaging.

Ke Xiaoai, Zhou Qing, Han Lei, Zhou Junlin

Abstract read
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2020. 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
2.6field-weighted citation impact, top 9% 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, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

Ke XiaoaiDepartment of Radiology, Lanzhou University Second Hospital, Second Clinical School, Lanzhou University, Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China.
Zhou QingDepartment of Radiology, Lanzhou University Second Hospital, Second Clinical School, Lanzhou University, Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China.
Han LeiDepartment of Radiology, Lanzhou University Second Hospital, Second Clinical School, Lanzhou University, Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China.
Zhou JunlinDepartment of Radiology, Lanzhou University Second Hospital, Second Clinical School, Lanzhou University, Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China. lzuzjl601@163.com.ORCID http://orcid.org/0000-0001-8109-6347
Lanzhou University Second Hospital · CN

Funding

Health Industry Research Program Funding Project of Gansu Province GSWSKY2018- 52
6 · The paper itself

Abstract

purposeMicrocystic meningioma (MCM) appears similar to atypical meningioma(AM) as per conventional diagnostic imaging. However, considering their different recurrence rate and prognosis, accurate differential diagnosis is essential for determine the appropriate treatment strategy. The aim of the study was to differentiate MCM from AM by diffusion-weighted imaging (DWI), in order to provide the basis for accurate preoperative diagnosis.

methodsThe preoperative clinical data, conventional MRI and DWI data of 15 MCM and 30 AM cases were retrospectively analyzed. The average apparent diffusion coefficient (ADC

resultsThe ADC

conclusionsDWI can differentially diagnose MCM and AM, and ADC

Indexed as

Diffusion Magnetic Resonance ImagingAdultAgedCystsDiagnosis, DifferentialFemaleHumansMaleMeningeal NeoplasmsMeningiomaMiddle AgedPrognosisRetrospective StudiesSensitivity and SpecificityAnaplastic meningiomaApparent diffusion coefficient (ADC)Diffusion weighted imaging (DWI)Magnetic resonance imaging (MRI)Microcystic meningioma

Identifiers

PMID31996968
OpenAlexW3003767664

What OpenQuestion holds

Textmetadata
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.