Evidence map›Paper›PMID 31348580›Full record

ArticleNMR in biomedicine2019

Estimation of cellular-interstitial water exchange in dynamic contrast enhanced MRI using two flip angles.

Jin Zhang, Sungheon Gene Kim

Abstract read
In one paragraph

Article in NMR in biomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

2 authors.

Jin ZhangCenter for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, USA.ORCID 0000-0003-4152-521X
Sungheon Gene KimCenter for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, USA.

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADRIANA HEGUY · 1985 to 2026
$83.1M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
DCE MRI Study for Breast Cancer.R01CA160620 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE · 2012 to 2023
$5.4M
Gradient-Echo Spectroscopic Imaging Study of Saturated Fat and Breast CancerR01CA219964 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE, MOY, LINDA · 2018 to 2022
$2.3M
7T Small Animal MRI Scanner Replacement for Translational Imaging ResourceS10OD018337 · OD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BOADA, FERNANDO E · 2014 to 2014
$2.0M
NCI NIH HHS P30 CA016087NCI NIH HHS R01 CA160620NCI NIH HHS R01 CA219964NIBIB NIH HHS P41 EB017183NIH HHS S10 OD018337
6 · The paper itself

Abstract

purposeTo investigate the feasibility of using multiple flip angles in dynamic contrast enhanced (DCE) MRI to reduce the uncertainty in estimation of intracellular water lifetime (τ

methodsNumerical simulation studies were conducted to assess the uncertainty in estimation of τ

resultsIn the numerical simulation studies with a range of contrast kinetic parameters and signal-to-noise ratio = 20, the median bias of τ

conclusionThis study results demonstrate the feasibility of using multiple flip angles to encode the post-contrast time-intensity curve with different weighting of water exchange effect to reduce the uncertainty in τ

Indexed as

Magnetic Resonance ImagingAlgorithmsAnimalsArteriesComputer SimulationContrast MediaKineticsMice, Inbred C57BLPrincipal Component AnalysisTime FactorsUncertaintyWaterContrast MediaWater3D-UTE-GRASPcancerDCE-MRIintracellular water lifetimewater exchange

Identifiers

PMID31348580
PMCPMC6817382

What OpenQuestion holds

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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.