Evidence map›Paper›PMID 39150433›Full record

ArticleEpileptic disorders : international epilepsy journal with videotape2024

Superior lesion detection on 3D FSE T1WI with magnetization transfer and CHESS preparation pulses in children with focal epilepsy: Preliminary results.

Xing-Chang Wei, Zarina Assis, Martin Sherriff, Walter J Hader, Juan Pablo Appendino

Abstract read
In one paragraph

Article in Epileptic disorders : international epilepsy journal with videotape, 2024. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Xing-Chang WeiDepartment of Diagnostic Imaging, Alberta Children's Hospital, Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-9555-4908
Zarina AssisDepartment of Diagnostic Imaging, Alberta Children's Hospital, Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0001-9907-4840
Martin SherriffDepartment of Diagnostic Imaging, Alberta Children's Hospital, Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-2123-2068
Walter J HaderDivision of Pediatric Neurosurgery, Alberta Children's Hospital, Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-6701-4445
Juan Pablo AppendinoDivision of Pediatric Neurology, Alberta Children's Hospital, Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-1112-7002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In childhood drug-resistant focal epilepsy, the identification of a magnetic resonance imaging lesion significantly affects the management and prognosis, although it is often challenging. Herein we report the preliminary results of a modified MR sequence, in which both magnetization transfer and chemical shift selective preparation pulses are added to a 3D fast spin echo T1-weighted sequence to recognize focal cortical dysplasia. The scan time is short, and the images have expected uniform suppression of the background normal gray and white matter. We report four children with focal epilepsy, in whom the focal cortical and subcortical lesions are superiorly conspicuous on the aforementioned MR sequence compared to the high-resolution fluid-attenuated inversion recovery images obtained with typical epilepsy MR protocols.

Indexed as

Epilepsies, PartialMagnetic Resonance ImagingBrainChildChild, PreschoolDrug Resistant EpilepsyFemaleHumansImaging, Three-DimensionalMaleMalformations of Cortical Developmentdrug resistant epilepsyfocal cortical dysplasiamagnetic resonance imagingmagnetization transfer

Identifiers

PMID39150433
PMCPMC11651373

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.