Evidence map›Paper›PMID 28273886›Full record

ArticleScientific reports2017

Quantitative chemical exchange saturation transfer (CEST) MRI of glioma using Image Downsampling Expedited Adaptive Least-squares (IDEAL) fitting.

Iris Yuwen Zhou, Enfeng Wang, Jerry S Cheung, Xiaoan Zhang, Giulia Fulci, Phillip Zhe Sun

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

60 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Iris Yuwen ZhouAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.ORCID 0000-0002-4351-7398
Enfeng WangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.
Jerry S CheungAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.
Xiaoan ZhangDepartment of Radiology, 3rd Affiliated Hospital, Zhengzhou University, Henan, China.
Giulia FulciMolecular Neuro-oncology Laboratories, Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02124, USA.
Phillip Zhe SunAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA. pzhesun@mgh.harvard.edu.ORCID 0000-0003-4872-1192
Harvard University · USZhengzhou University · CN

Funding

Noninvasive Realtime Assessment of Placental Structure and Function with Novel MR Imaging MethodsU01HD087211 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI GRANT, PATRICIA ELLEN, WALD, LAWRENCE L · 2015 to 2015
$4.9M
Establishment of fast pH MRI for imaging metabolic injury during acute strokeR01NS083654 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Phillip Zhe Sun · 2013 to 2026
$4.0M
Development of kurtosis MRI to image acute stroke patientsR21NS085574 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SUN, PHILLIP ZHE · 2013 to 2014
$475k
NICHD NIH HHS U01 HD087211NINDS NIH HHS R01 NS083654NINDS NIH HHS R21 NS085574
6 · The paper itself

Abstract

Chemical Exchange Saturation Transfer (CEST) MRI is sensitive to dilute metabolites with exchangeable protons, allowing tissue characterization in diseases such as acute stroke and tumor. CEST quantification using multi-pool Lorentzian fitting is challenging due to its strong dependence on image signal-to-noise ratio (SNR), initial values and boundaries. Herein we proposed an Image Downsampling Expedited Adaptive Least-squares (IDEAL) fitting algorithm that quantifies CEST images based on initial values from multi-pool Lorentzian fitting of iteratively less downsampled images until the original resolution. The IDEAL fitting in phantom data with superimposed noise provided smaller coefficient of variation and higher contrast-to-noise ratio at a faster fitting speed compared to conventional fitting. We further applied the IDEAL fitting to quantify CEST MRI in rat gliomas and confirmed its advantage for in vivo CEST quantification. In addition to significant changes in amide proton transfer and semisolid macromolecular magnetization transfer effects, the IDEAL fitting revealed pronounced negative contrasts of tumors in the fitted CEST maps at 2 ppm and -1.6 ppm, likely arising from changes in creatine level and nuclear overhauser effects, which were not found using conventional method. It is anticipated that the proposed method can be generalized to quantify MRI data where SNR is suboptimal.

Indexed as

AlgorithmsAnimalsBrain NeoplasmsCell Line, TumorGliomaImage Interpretation, Computer-AssistedLeast-Squares AnalysisMagnetic Resonance ImagingMaleNeoplasm TransplantationPhantoms, ImagingRatsSignal-To-Noise Ratio

Identifiers

PMID28273886
PMCPMC5427899
OpenAlexW2592787056

What OpenQuestion holds

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LicenceCC BY
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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.