Evidence map›Paper›PMID 26140371›Full record

ArticleMagnetic resonance in medicine2016

Analysis of mcDESPOT- and CPMG-derived parameter estimates for two-component nonexchanging systems.

Mustapha Bouhrara, David A Reiter, Hasan Celik, Kenneth W Fishbein, Richard Kijowski, Richard G Spencer

Abstract read
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 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Comparison of multi echo TScientific reports · 2021
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  9. REUSED: A deep neural network method for rapid whole-brain high-resolution myelin water fraction mapping from extremely under-sampled MRI.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2023
    Article
  10. Lower Myelin Content Is Associated With Lower Gait Speed in Cognitively Unimpaired Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
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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.

Mustapha BouhraraLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
David A ReiterLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Hasan CelikLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Kenneth W FishbeinLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Richard KijowskiDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Richard G SpencerLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.

Funding

Multicompartment quantification of tissue in vitro and in vivo with magnetic resonance imaging and spectroscopyZIAAG000930 · NIA · NATIONAL INSTITUTE ON AGING · PI SPENCER, RICHARD · 2015 to 2025
$11.6M
Advanced magnetic resonance imaging of the human brain in normative aging, cognitive impairment, and dementiaZIAAG000452 · NIA · NATIONAL INSTITUTE ON AGING · PI SPENCER, RICHARD · 2017 to 2025
$1.4M
Intramural NIH HHS Z99 AG999999
6 · The paper itself

Abstract

purposeTo compare the reliability and stability of the multicomponent-driven equilibrium single pulse observation of T1 and T2 (mcDESPOT) and Carl-Purcell-Meiboom-Gill (CPMG) approaches to parameter estimation.

methodsThe stability and reliability of mcDESPOT and CPMG-derived parameter estimates were compared through examination of energy surfaces, evaluation of model sloppiness, and Monte Carlo simulations. Comparisons were performed on an equal time basis and assuming a two-component system. Parameter estimation bias, reflecting accuracy, and dispersion, reflecting precision, were derived for a range of signal-to-noise ratios (SNRs) and relaxation parameters.

resultsThe energy surfaces for parameters incorporated into the mcDESPOT signal model exhibit flatness, a complex structure of local minima, and instability to noise to a much greater extent than the corresponding surfaces for CPMG. Although both mcDESPOT and CPMG performed well at high SNR, the CPMG approach yielded parameter estimates of considerably greater accuracy and precision at lower SNR.

conclusionmcDESPOT and CPMG both permit high-quality parameter estimates under SNR that are clinically achievable under many circumstances, depending upon available hardware and resolution and acquisition time constraints. At moderate to high SNR, the mcDESPOT approach incorporating two-step phase increments can yield accurate parameter estimates while providing values for longitudinal relaxation times that are not available through CPMG. However, at low SNR, the CPMG approach is more stable and provides superior parameter estimates. Magn Reson Med 75:2406-2420, 2016. © 2015 Wiley Periodicals, Inc.

Indexed as

AlgorithmsImage Processing, Computer-AssistedMagnetic Resonance ImagingMonte Carlo MethodPhantoms, ImagingReproducibility of ResultsSignal-To-Noise RatioCPMGenergy surface, accuracymcDESPOTprecisionquantitative MRIsloppiness

Identifiers

PMID26140371
PMCPMC5958911

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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.