Evidence map›Paper›PMID 26988812›Full record

ArticleAJNR. American journal of neuroradiology2016

Improving Perfusion Measurement in DSC-MR Imaging with Multiecho Information for Arterial Input Function Determination.

A T Newton, S Pruthi, A M Stokes, J T Skinner, C C Quarles

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Dependency of RNMR in biomedicine · 2022
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  6. Evaluation of single bolus, dual-echo dynamic susceptibility contrast MRI protocols in brain tumor patients.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  7. Article
  8. Review
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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

5 authors at 3 institutions in 1 country.

A T NewtonFrom the Department of Radiology and Radiological Sciences (A.T.N., S.P.), Vanderbilt University Medical Center, Nashville, Tennessee Institute of Imaging Science (A.T.N.), Vanderbilt University, Nashville, Tennessee allen.t.newton@vanderbilt.edu.ORCID 0000-0001-6539-8783
S PruthiFrom the Department of Radiology and Radiological Sciences (A.T.N., S.P.), Vanderbilt University Medical Center, Nashville, Tennessee Monroe Carell Jr. Children's Hospital at Vanderbilt (S.P.), Nashville, Tennessee.ORCID 0000-0002-4035-0852
A M StokesBarrow Neurological Institute (A.M.S., C.C.Q.), Phoenix, Arizona Saint Joseph's Hospital and Medical Center (A.M.S., C.C.Q.), Phoenix, Arizona.ORCID 0000-0003-1137-5003
J T SkinnerNational Comprehensive Cancer Network (J.T.S.), Fort Washington, Pennsylvania.ORCID 0000-0002-4981-4035
C C QuarlesBarrow Neurological Institute (A.M.S., C.C.Q.), Phoenix, Arizona Saint Joseph's Hospital and Medical Center (A.M.S., C.C.Q.), Phoenix, Arizona.ORCID 0000-0002-1731-0940
Vanderbilt University Medical Center · USBarrow Neurological Institute · USSt. Joseph's Hospital and Medical Center · US

Funding

MRI Assessment of Tumor Perfusion, Permeability and CellularityR01CA158079 · NCI · VANDERBILT UNIVERSITY · PI QUARLES, CHRISTOPHER CHAD · 2011 to 2021
$3.5M
NCI NIH HHS R01 CA158079
6 · The paper itself

Abstract

background and purposeClinical measurements of cerebral perfusion have been increasingly performed with multiecho dynamic susceptibility contrast-MR imaging techniques due to their ability to remove confounding T1 effects of contrast agent extravasation from perfusion quantification. However, to this point, the extra information provided by multiecho techniques has not been used to improve the process of estimating the arterial input function, which is critical to accurate perfusion quantification. The purpose of this study is to investigate methods by which multiecho DSC-MRI data can be used to automatically avoid voxels whose signal decreases to the level of noise when calculating the arterial input function. MATERIALS AND

methodsHere we compare postprocessing strategies for clinical multiecho DSC-MR imaging data to test whether arterial input function measures could be improved by automatically identifying and removing voxels exhibiting signal attenuation (truncation) artifacts.

resultsIn a clinical pediatric population, we found that the Pearson correlation coefficient between ΔR2* time-series calculated from each TE individually was a valuable criterion for automated estimation of the arterial input function, resulting in higher peak arterial input function values while maintaining smooth and reliable arterial input function shapes.

conclusionsThis work is the first to demonstrate that multiecho information may be useful in clinically important automatic arterial input function estimation because it can be used to improve automatic selection of voxels from which the arterial input function should be measured.

Indexed as

AlgorithmsAngiography, Digital SubtractionArtifactsBrain MappingCerebral ArteriesCerebrovascular CirculationCerebrovascular DisordersContrast MediaHumansMagnetic Resonance AngiographyPerfusionContrast Media

Identifiers

PMID26988812
PMCPMC4947011
OpenAlexW2302579263

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.