Evidence map›Paper›PMID 36590378›Full record

ArticleJournal of the Belgian Society of Radiology2022

Association of CT and MRI Manifestations with Pathology in Dysembryoplastic Neuroepithelial Tumors.

Da-Wei Liao, Xue Zheng, Qian-Qian Feng, Tian Xia

Open access · goldAbstract read
In one paragraph

Article in Journal of the Belgian Society of Radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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.

Da-Wei LiaoThe Affiliated Hospital of Southwest Medical University, CN.ORCID https://orcid.org/0000-0003-4553-0833
Xue ZhengThe Affiliated Hospital of Southwest Medical University, CN.ORCID https://orcid.org/0000-0002-7091-0320
Qian-Qian FengThe Affiliated Hospital of Southwest Medical University, CN.ORCID https://orcid.org/0000-0003-4153-0633
Tian XiaThe Affiliated Hospital of Southwest Medical University, CN.ORCID https://orcid.org/0000-0003-3056-6331
Affiliated Hospital of Southwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the CT, MRI and pathological features of dysembryoplastic neuroepithelial tumor (DNET). Methods: The CT and MRI features of six cases of pathologically confirmed DNET were retrospectively analyzed and compared with pathology. Results: All six cases of DNET were solitary, and lesion in one case was located in the right parietal lobe, one case in the right frontal lobe, one case in the cerebellar vermis, one case in the right temporo-parietal occipital lobe, one case in the left basal ganglia, and one case in the pineal gland. CT and MRI showed cystic solid tumor in all six cases, of which four showed calcification. In CT images, the cystic components appeared low-density, solid nodules, septa, and cyst walls were slightly high-density, and calcifications were high-density. In MRI images, the cystic components were hypointense on T1WI and hyperintense on T2WI, solid nodules, septa and cyst walls were iso-intense or slightly hyperintense on T1WI and T2WI sequences, and calcifications were all hypointense. On enhanced scan, the cystic components were not enhanced, and the solid nodules, septa, and cyst walls were inhomogeneously enhanced. Conclusion: The imaging manifestations of DNET are characteristic, and the combination of clinical and imaging features can greatly improve diagnostic accuracy.

Indexed as

CTDysembryoplastic neuroepithelial tumorMRIPathology

Identifiers

PMID36590378
PMCPMC9784061
OpenAlexW4312641289

What OpenQuestion holds

Textmetadata
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.