Evidence map›Paper›PMID 26302147›Full record

ArticleMagnetic resonance in medicine2016

Highly accelerated chemical exchange saturation transfer (CEST) measurements with linear algebraic modeling.

Yi Zhang, Hye-Young Heo, Shanshan Jiang, Dong-Hoon Lee, Paul A Bottomley, Jinyuan Zhou

Abstract readEvaluation Study
In one paragraph

Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Dynamic glucose-enhanced MRI in brain tumors.Magma (New York, N.Y.) · 2026
    Review
  2. Review
  3. Review
  4. CEST MRI trackable nanoparticle drug delivery systems.Biomedical materials (Bristol, England) · 2021
    Review
  5. Review
  6. Improving Amide Proton Transfer-Weighted MRI Reconstruction Using T2-Weighted Images.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. High-resolution and accelerated multi-parametric mapping with automated characterization of vessel disease using intravascular MRI.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017
    Article
  14. Article
  15. Ultrafast compartmental relaxation time mapping with linear algebraic modeling.Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition · 2017
    Article
  16. Article
  17. Highly-accelerated CEST Measurements in Three Dimensions with Linear Algebraic Modeling.Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition · 2016
    Article
  18. Fast Chemical Exchange Saturation Transfer (CEST) Imaging with Variably-accelerated Sensitivity Encoding (vSENSE).Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition · 2016
    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.

Yi ZhangDivision of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
Hye-Young HeoDivision of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
Shanshan JiangDivision of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
Dong-Hoon LeeDivision of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
Paul A BottomleyDivision of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.
Jinyuan ZhouDivision of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, Maryland, USA.

Funding

Advanced MRI Technology in Safety & InterventionR01EB007829 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI BOTTOMLEY, PAUL A · 2008 to 2017
$4.3M
Amide Proton Transfer (APT) MRI of Brain Tumors at 3T and 7TR01EB009731 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ZHOU, JINYUAN · 2009 to 2016
$2.9M
Academic-Industrial Partnership to Develop Clinical Brain Cancer ImagingR01CA166171 · NCI · JOHNS HOPKINS UNIVERSITY · PI VAN ZIJL, PETER CM, ZHOU, JINYUAN · 2013 to 2017
$2.4M
US-China Collaborative Research on Stroke ImagingR01NS083435 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ZHOU, JINYUAN · 2013 to 2015
$588k
NCI NIH HHS R01 CA166171NIBIB NIH HHS R01 EB007829NIBIB NIH HHS R01 EB009731NINDS NIH HHS R01 NS083435
6 · The paper itself

Abstract

purposeIn clinical studies, compartmental average chemical exchange saturation transfer (CEST) measurements rather than voxel-by-voxel CEST images may suffice for evaluating its diagnostic value. A recently developed method-spectroscopy with linear algebraic modeling, or SLAM-could directly provide compartmental measures with dramatically reduced scan time and optimal signal-to-noise ratios. Here, we test whether SLAM can be adapted to significantly accelerate CEST acquisitions. THEORY AND

methodsConventional anatomical images and raw CEST image k-space data were acquired from seven brain tumor patients. SLAM was applied to the CEST data using acceleration factors of R = 1-45, after segmenting compartments from co-registered images. SLAM-CEST measures were compared with average values from the identical compartments obtained by conventional Fourier transform (FT) CEST.

resultsSLAM generated compartmental average CEST z-spectra that were indistinguishable from conventional FT-CEST for R ≤ 45. SLAM-CEST z-spectra at ±3.5 ppm were highly correlated with FT-CEST measures (r(2)  ≥ 0.98 for R ≤ 9; r ≥ 0.995 for R ≤ 45). The average error of SLAM-CEST versus FT-CEST measures was ≤10% for R ≤ 45, in acquisitions requiring as few as a single k-space phase-encoding step.

conclusionApplied to patients with brain tumors, SLAM-CEST can yield results that are quantitatively equivalent to conventional CEST up to 45 times faster, which could prove enabling in clinical settings where scan time is limiting. Magn Reson Med 76:136-144, 2016. © 2015 Wiley Periodicals, Inc.

Indexed as

AlgorithmsLinear ModelsBrain NeoplasmsComputer SimulationFourier AnalysisHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMolecular ImagingReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-Assistedamide proton transfer (APT)brain tumorchemical exchange saturation transfer (CEST)spectroscopy by linear algebraic modeling (SLAM)

Identifiers

PMID26302147
PMCPMC4548835

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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.