Evidence map›Paper›PMID 26077645›Full record

ArticleMagnetic resonance in medicine2016

Optimal acquisition and modeling parameters for accurate assessment of low Ktrans blood-brain barrier permeability using dynamic contrast-enhanced MRI.

Samuel R Barnes, Thomas S C Ng, Axel Montagne, Meng Law, Berislav V Zlokovic, Russell E Jacobs

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 78 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 2 pooled it
–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

78 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Permeability imaging as a predictor of delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018
    Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Observational
  12. Review
  13. Article
  14. MR Imaging Indices for Brain Interstitial Fluid Dynamics and the Effects of Orexin Antagonists on Sleep.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  15. Article
  16. Review
  17. Biomarkers of blood-brain barrier and neurovascular unit integrity in human cognitive impairment and dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
  18. Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

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.

Samuel R BarnesBeckman Institute, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.
Thomas S C NgBeckman Institute, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.
Axel MontagneZilkha Neurogenetic Institute and Department of Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Meng LawDivision of Neuroradiology, Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Berislav V ZlokovicZilkha Neurogenetic Institute and Department of Physiology and Biophysics, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Russell E JacobsBeckman Institute, Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.

Funding

VASCULAR RISK AND COGNITIVE STATUS IN A LATINO POPULATIONP50AG005142 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRASKIE, MEREDITH NICOLE · 1985 to 2019
$41.0M
Multimodal mPET &mMRI Imaging InstrumentationR01EB000993 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CHERRY, SIMON R, JACOBS, RUSSELL E · 2004 to 2013
$9.2M
Alzheimer's Abeta, Tau, Apolipoproteins and Blood-brain barrierR01NS034467 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YASSINE, HUSSEIN N · 1995 to 2024
$9.1M
Cerebrovascular beta-Amyloidosis: A-beta CNS Transport PathwaysR37AG023084 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ZLOKOVIC, BERISLAV V · 2004 to 2013
$4.6M
The role of pericytes in the aging brain and pathogenesis and treatment of neurodegeneration, and Alzheimer's A-beta and tau pathologyRF1AG039452 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ICHIDA, JUSTIN KAWIKA · 2019 to 2019
$4.0M
Alzheimer's Abeta, apolipoproteins and blood-brain barrierR37NS034467 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ZLOKOVIC, BERISLAV V · 2007 to 2013
$3.4M
Cerebrovascular beta-Amyloidosis: A-beta CNS Transport PathwaysR01AG023084 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ZLOKOVIC, BERISLAV V · 2015 to 2019
$3.0M
The role of pericytes in the adult and the aging brainR01AG039452 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ZLOKOVIC, BERISLAV V · 2011 to 2015
$1.6M
NIA NIH HHS P50 AG005142NIA NIH HHS R01 AG023084NIA NIH HHS R01 AG039452NIA NIH HHS R01AG039452NIA NIH HHS R37 AG023084NIA NIH HHS R37AG23084NIA NIH HHS RF1 AG039452NIBIB NIH HHS EB000993NIBIB NIH HHS R01 EB000993NINDS NIH HHS R01 NS034467NINDS NIH HHS R37 NS034467NINDS NIH HHS R37NS34467
6 · The paper itself

Abstract

purposeTo determine optimal parameters for acquisition and processing of dynamic contrast-enhanced MRI (DCE-MRI) to detect small changes in near normal low blood-brain barrier (BBB) permeability.

methodsUsing a contrast-to-noise ratio metric (K-CNR) for Ktrans precision and accuracy, the effects of kinetic model selection, scan duration, temporal resolution, signal drift, and length of baseline on the estimation of low permeability values was evaluated with simulations.

resultsThe Patlak model was shown to give the highest K-CNR at low Ktrans . The Ktrans transition point, above which other models yielded superior results, was highly dependent on scan duration and tissue extravascular extracellular volume fraction (ve ). The highest K-CNR for low Ktrans was obtained when Patlak model analysis was combined with long scan times (10-30 min), modest temporal resolution (<60 s/image), and long baseline scans (1-4 min). Signal drift as low as 3% was shown to affect the accuracy of Ktrans estimation with Patlak analysis.

conclusionDCE acquisition and modeling parameters are interdependent and should be optimized together for the tissue being imaged. Appropriately optimized protocols can detect even the subtlest changes in BBB integrity and may be used to probe the earliest changes in neurodegenerative diseases such as Alzheimer's disease and multiple sclerosis.

Indexed as

Blood-Brain BarrierPermeabilityAdultAgedAlgorithmsAlzheimer DiseaseComputer SimulationContrast MediaFemaleHumansImage Processing, Computer-AssistedKineticsMagnetic Resonance ImagingMaleMiddle AgedMultiple SclerosisContrast Mediablood-brain barrierDCE-MRIKtrans estimationparameter optimizationpermeability

Identifiers

PMID26077645
PMCPMC4726482

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.