Evidence map›Paper›PMID 31372735›Full record

ArticleJournal of neurology2019

Optimizing 3D FLAIR to detect MS lesions: pushing past factory settings for precise results.

Augustin Lecler, C Bouzad, R Deschamps, F Maizeroi, J C Sadik, A Gueguen, O Gout, H Picard, J Savatovsky

Abstract read
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In one paragraph

Article in Journal of neurology, 2019. 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 35% 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, 4 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

9 authors at 1 institution in 1 country.

Augustin LeclerDepartment of Radiology, Fondation Ophtalmologique Adolphe de Rothschild, 25 rue Manin, 75019, Paris, France. alecler@for.paris.ORCID http://orcid.org/0000-0001-7869-1815
C BouzadDepartment of Radiology, Fondation Ophtalmologique Adolphe de Rothschild, 25 rue Manin, 75019, Paris, France.
R DeschampsDepartment of Neurology, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France.
F MaizeroiDepartment of Radiology, Fondation Ophtalmologique Adolphe de Rothschild, 25 rue Manin, 75019, Paris, France.
J C SadikDepartment of Radiology, Fondation Ophtalmologique Adolphe de Rothschild, 25 rue Manin, 75019, Paris, France.
A GueguenDepartment of Neurology, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France.
O GoutDepartment of Neurology, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France.
H PicardClinical Research Unit, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France.
J SavatovskyDepartment of Radiology, Fondation Ophtalmologique Adolphe de Rothschild, 25 rue Manin, 75019, Paris, France.
Fondation Ophtalmologique Adolphe de Rothschild · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo assess the diagnostic value of three 3D FLAIR sequences with differing repetition-times (TR) at 3-Tesla when detecting multiple sclerosis (MS) lesions.

methodsIn this prospective study, approved by the institutional review board, 27 patients with confirmed MS were prospectively included. One radiologist performed manual segmentations of all high-signal intensity lesions using three 3D FLAIR data sets with different TR of 4800 ms ("FLAIR

resultsThe FLAIR

Indexed as

AdultBrainFemaleHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisNeuroimagingProspective StudiesDiagnosisDiagnostic imagingMagnetic resonance imagingMultiple sclerosis

Identifiers

PMID31372735
OpenAlexW2966351786

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.