Evidence map›Paper›PMID 28862349›Full record

ArticleMagnetic resonance in medicine2018

Z-spectrum appearance and interpretation in the presence of fat: Influence of acquisition parameters.

Shu Zhang, Jochen Keupp, Xinzeng Wang, Ivan Dimitrov, Ananth J Madhuranthakam, Robert E Lenkinski, Elena Vinogradov

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Shu ZhangDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jochen KeuppPhilips Research, Hamburg, Germany.
Xinzeng WangDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Ivan DimitrovPhilips Medical Systems, Gainesville, Florida, USA.
Ananth J MadhuranthakamDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Robert E LenkinskiDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Elena VinogradovDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Funding

Endogenous Urea CEST MRI (urCEST): pH and urea gradient mapping in human kidneyR21EB020245 · NIBIB · UT SOUTHWESTERN MEDICAL CENTER · PI VINOGRADOV, ELENA · 2016 to 2017
$445k
NIBIB NIH HHS R21 EB020245
6 · The paper itself

Abstract

purposeChemical exchange saturation transfer (CEST) MRI is increasingly evolving from brain to body applications. One of the known problems in the body imaging is the presence of strong lipid signals. Although their influence on the CEST effect is acknowledged, there was no study that focuses on the interplay among echo time, fat fraction, and Z-spectrum. This study strives to address these points, with the emphasis on the application in the breast.

methodsZ-spectra were simulated in phase and out of phase of the main fat peak at -3.4 ppm, with the fat fraction varying from 0 to 100%. The magnetization transfer ratio asymmetry in two ranges, centering at the exchanging pool and at 3.5 ppm approximately opposite the nonexchanging fat pool, were calculated and were plotted against fat fraction. The results were verified in phantoms and in vivo.

resultsThe results demonstrate the combined influence of fat fraction and echo time on the Z-spectrum for gradient echo based CEST acquisitions. The influence is straightforward in the in-phase images, but it is more complicated in the out-of-phase images, potentially leading to erroneous CEST contrast.

conclusionsThis study provides a basis for understanding the origin and appearance of lipid artifacts in CEST imaging, and lays the foundation for their efficient removal. Magn Reson Med 79:2731-2737, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Indexed as

Adipose TissueBreastFemaleHumansImage Processing, Computer-AssistedLipidsMagnetic Resonance ImagingPhantoms, ImagingLipidsbody imagingbreast imagingCESTIPlipid artifactOP

Identifiers

PMID28862349
PMCPMC5821535

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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.