Evidence map›Paper›PMID 25516490›Full record

ArticleMagnetic resonance in medicine2015

Multi-echo length and offset VARied saturation (MeLOVARS) method for improved CEST imaging.

Xiaolei Song, Jiadi Xu, Shuli Xia, Nirbhay N Yadav, Bachchu Lal, John Laterra, Jeff W M Bulte, Peter C M van Zijl, Michael T McMahon

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
  6. Article
  7. Article
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  9. Article
  10. Review
  11. Article
  12. Review
  13. Salicylic acid analogues as chemical exchange saturation transfer MRI contrast agents for the assessment of brain perfusion territory and blood-brain barrier opening after intra-arterial infusion.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2016
    Article
  14. Screening CEST contrast agents using ultrafast CEST imaging.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2016
    Article
  15. Article
  16. Recent Advances inEngineering (Beijing, China) · 2015
    Article
  17. 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.

Xiaolei SongDivision of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.
Jiadi Xu
Shuli Xia
Nirbhay N Yadav
Bachchu Lal
John Laterra
Jeff W M Bulte
Peter C M van Zijl
Michael T McMahon

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
11.7T Horizontal Bore Animal ScannerS10RR028955 · NCRR · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2010 to 2010
$4.2M
Novel Approaches for CEST Labeling, Detection, Quantification and TranslationR01EB015032 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2011 to 2019
$3.9M
Multi-Color Exchange Transfer Imaging of Drug Delivery NanocarriersR01EB015031 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI MCMAHON, MICHAEL T · 2011 to 2014
$2.4M
16.4T Vertical Wide Bore Animal MR ImagerS10RR025118 · NCRR · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI MCMAHON, MICHAEL T · 2009 to 2009
$2.0M
DIACEST Islet Cell Capsules for Immunoprotection, MR Detection, and pH SensingR01EB012590 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI MCMAHON, MICHAEL T · 2010 to 2013
$1.3M
NCI NIH HHS P30 CA006973NCRR NIH HHS S10 RR025118NCRR NIH HHS S10RR025118NCRR NIH HHS S10 RR028955NCRR NIH HHS S10RR028955NIBIB NIH HHS R01 EB012590NIBIB NIH HHS R01EB012590NIBIB NIH HHS R01 EB015031NIBIB NIH HHS R01EB015031NIBIB NIH HHS R01 EB015032NIBIB NIH HHS R01EB015032
6 · The paper itself

Abstract

purposeThe aim of this study was to develop a technique for rapid collection of chemical exchange saturation transfer images with the saturation varied to modulate signal loss transfer and enhance contrast.

methodsMulti-echo Length and Offset VARied Saturation (MeLOVARS) divides the saturation pulse of length Tsat into N = 3-8 submodules, each consisting of a saturation pulse with length of Tsat /N (∼0.3-1 s), one or more low flip-angle gradient-echo readout(s) and a flip back pulse. This results in N readouts with increasing saturation time from Tsat /N to Tsat without extra scan time.

resultsFor phantoms, eight images with Tsat incremented every 0.5 s from 0.5-4 s were collected simultaneously using MeLOVARS, which allows rapid determination of exchange rates for agent protons. For live mice bearing glioblastomas, the Z-spectra for five different Tsat values from 0.5 to 2.5 s were acquired in a time normally used for one Tsat . With the additional Tsat -dependence information, LOVARS phase maps were produced with a more clearly defined tumor boundary and an estimated 4.3-fold enhanced contrast-to-noise ratio (CNR). We also show that enhancing CNR is achievable by simply averaging the collected images or transforming them using the principal component analysis.

conclusionsMeLOVARS enables collection of multiple saturation-time-weighted images without extra time, producing a LOVARS phase map with increased CNR.

Indexed as

AlgorithmsAnimalsBrain NeoplasmsCell Line, TumorGlioblastomaHumansImage EnhancementMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMiceMice, SCIDNeoplasm ProteinsReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedNeoplasm Proteinsbrain tumor imagingCESTEPILength and Offset VARied Saturation (LOVARS)Multi-echo LOVARS(MeLOVARS)

Identifiers

PMID25516490
PMCPMC4314385

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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.