Evidence map›Paper›PMID 26391991›Full record

ArticleMolecular imaging and biology2016

Chemical Exchange Saturation Transfer (CEST) MR Technique for Liver Imaging at 3.0 Tesla: an Evaluation of Different Offset Number and an After-Meal and Over-Night-Fast Comparison.

Min Deng, Shu-Zhong Chen, Jing Yuan, Queenie Chan, Jinyuan Zhou, Yì-Xiáng J Wáng

Abstract readComparative Study
In one paragraph

Article in Molecular imaging and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Human liver CEST imaging at 7 T: Impact ofMagnetic resonance in medicine · 2025
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  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Free-breathing 3D CEST MRI of human liver at 3.0 T.Magnetic resonance in medicine · 2023
    Article
  13. Article
  14. Article
  15. MRI monitoring of energy storage in vivo using magnetization pathways.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  16. Article
  17. Magnetic resonance imaging of glycogen using its magnetic coupling with water.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. Review
  19. Article
  20. Sugar-based biopolymers as novel imaging agents for molecular magnetic resonance imaging.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2019
    Review
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.

Min DengDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR.
Shu-Zhong ChenDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR.
Jing YuanMedical Physics and Research Department, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong SAR.
Queenie ChanMR Clinical Science, Philips Healthcare Greater China, Shanghai, China.
Jinyuan ZhouDepartment of Radiology, Johns Hopkins University, Baltimore, MD, USA.
Yì-Xiáng J WángDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong SAR. yixiang_wang@cuhk.edu.hk.

Funding

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
NCI NIH HHS R01 CA166171NCI NIH HHS R01CA166171NIBIB NIH HHS R01 EB009731NIBIB NIH HHS R01EB009731
6 · The paper itself

Abstract

purposeThis study seeks to explore whether chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) can detect liver composition changes between after-meal and over-night-fast statuses. PROCEDURES: Fifteen healthy volunteers were scanned on a 3.0-T human MRI scanner in the evening 1.5-2 h after dinner and in the morning after over-night (12-h) fasting. Among them, seven volunteers were scanned twice to assess the scan-rescan reproducibility. Images were acquired at offsets (n = 41, increment = 0.25 ppm) from -5 to 5 ppm using a turbo spin echo (TSE) sequence with a continuous rectangular saturation pulse. Amide proton transfer-weighted (APTw) and GlycoCEST signals were quantified with the asymmetric magnetization transfer ratio (MTRasym) at 3.5 ppm and the total MTRasym integrated from 0.5 to 1.5 ppm from the corrected Z-spectrum, respectively. To explore scan time reduction, CEST images were reconstructed using 31 offsets (with 20% time reduction) and 21 offsets (with 40% time reduction), respectively.

resultsFor reproducibility, GlycoCEST measurements in 41 offsets showed the smallest scan-rescan mean measurements variability, indicated by the lowest mean difference of -0.049% (95% limits of agreement, -0.209 to 0.111%); for APTw, the smallest mean difference was found to be 0.112% (95% limits of agreement, -0.698 to 0.921%) in 41 offsets. Compared with after-meal, both GlycoCEST measurement and APTw measurement under different offset number decreased after 12-h fasting. However, as the offsets number decreased (41 offsets vs. 31 offsets vs. 21 offsets), GlycoCEST map and APTw map became more heterogeneous and noisier.

conclusionOur results show that CEST liver imaging at 3.0 T has high sensitivity for fasting.

Indexed as

FastingMealsAdultFemaleHumansLiverMagnetic Resonance ImagingMaleMiddle AgedReproducibility of ResultsAmide proton transfer (APT)Chemical exchange saturation transfer (CEST)GlycogenLiverMagnetic resonance imaging

Identifiers

PMID26391991
PMCPMC5744857

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Registered trials

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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.