Evidence map›Paper›PMID 27126898›Full record

ArticleJournal of magnetic resonance imaging : JMRI2016

Optimal combination of FLAIR and T2-weighted MRI for improved lesion contrast in multiple sclerosis.

Refaat E Gabr, Khader M Hasan, Muhammad E Haque, Flavia M Nelson, Jerry S Wolinsky, Ponnada A Narayana

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The use of combined TRadiological physics and technology · 2019
    Article
  6. Article
  7. Platform for Automated Real-Time High Performance Analytics on Medical Image Data.IEEE journal of biomedical and health informatics · 2018
    Article
  8. The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2017
    Review
  9. Review
  10. GRAPE: a graphical pipeline environment for image analysis in adaptive magnetic resonance imaging.International journal of computer assisted radiology and surgery · 2017
    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

6 authors at 2 institutions in 1 country.

Refaat E GabrDepartment of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA. refaat.e.gabr@uth.tmc.edu.
Khader M HasanDepartment of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
Muhammad E HaqueDepartment of Neurology, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
Flavia M NelsonDepartment of Neurology, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
Jerry S WolinskyDepartment of Neurology, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
Ponnada A NarayanaDepartment of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
The University of Texas Health Science Center at Houston · USThe University of Texas Health Science Center · US

Funding

Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
NCATS NIH HHS UL1 TR000371
6 · The paper itself

Abstract

purposePostacquisition combination of three-dimensional T2-weighted (T2w) and fluid-attenuated inversion recovery (FLAIR) images can improve the visualization of brain lesions in multiple sclerosis (MS). However, an optimal way to combine these images has not been described so far. The main objective of this study is to investigate an optimal combination of T2w and FLAIR to improve the conspicuity of MS lesions. MATERIALS AND

methodsWe determined the parameters for a generalized multiplicative image combination which maximize the contrast-to-noise ratio (CNR) between lesions and normal-appearing brain tissue through simulations and verified experimentally. MRI data from 11 MS patients acquired at 3 Tesla were retrospectively analyzed using the proposed approach and compared with conventional FLAIR, and to images obtained by direct multiplication of T2w and FLAIR (FLAIR

resultsAn optimal combination was found to be the third order expression: FLAIR

conclusionThese results show that the optimized combination of FLAIR and T2w can improve MS lesion conspicuity. J. Magn. Reson. Imaging 2016;44:1293-1300.

Indexed as

BrainDiffusion Tensor ImagingFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMaleMiddle AgedMultimodal ImagingMultiple SclerosisReproducibility of ResultsSensitivity and SpecificityWhite Mattercortical lesionsfluid suppressionimage contrastinversion recoveryMS lesions

Identifiers

PMID27126898
PMCPMC5061588
OpenAlexW2346812984

What OpenQuestion holds

Textmetadata
LicenceTDM
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.