Evidence map›Paper›PMID 29777820›Full record

ArticleMagnetic resonance imaging2018

Accuracy and precision of quantitative DCE-MRI parameters: How should one estimate contrast concentration?

Nicole Wake, Hersh Chandarana, Henry Rusinek, Koji Fujimoto, Linda Moy, Daniel K Sodickson, Sungheon Gene Kim

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 28 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

7 authors at 2 institutions in 2 countries.

Nicole WakeCenter for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States; Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY, United States. Electronic address: nicole.wake@nyumc.org.
Hersh ChandaranaCenter for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States; Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY, United States.
Henry RusinekCenter for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States.
Koji FujimotoDepartment of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto, Japan.
Linda MoyCenter for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States.
Daniel K SodicksonCenter for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States; Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY, United States.
Sungheon Gene KimCenter for Advanced Imaging Innovation and Research (CAI2R), Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States; Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY, United States.
Advanced Imaging Research (United States) · USKyoto University · JP

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHAO, YONGZHAO · 1990 to 2019
$36.1M
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
NCI NIH HHS R01 CA160620NIA NIH HHS P30 AG008051NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

introductionPharmacokinetic parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) data are sensitive to acquisition and post-processing techniques, which makes it difficult to compare results obtained using different methods. In particular, one of the most important factors affecting estimation of model parameters is how to convert MRI signal intensities to contrast agent concentration. The purpose of our study was to quantitatively compare a linear signal-to-concentration conversion (LC) as an approximation and a non-linear conversion (NLC) based on the MRI signal equation, in terms of the accuracy and precision of the pharmacokinetic parameters in T MATERIALS AND

methodsNumerical simulation studies were conducted to compare LC and NLC in terms of the accuracy and precision in contrast kinetic parameter estimation, and to evaluate their dependency on flip angle (FA), pre-contrast T

resultsThe transfer rate (K

conclusionThe present study results show that, when precontrast T

Indexed as

AlgorithmsBreastBreast NeoplasmsComputer SimulationContrast MediaFemaleHumansImage EnhancementMagnetic Resonance ImagingReproducibility of ResultsContrast MediaContrast agent concentrationDynamic contrast-enhanced MRIPerfusionPharmacokinetic model

Identifiers

PMID29777820
PMCPMC6102067
OpenAlexW2804877957

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.