Evidence map›Paper›PMID 25074746›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2014

Accurate determination of blood-brain barrier permeability using dynamic contrast-enhanced T1-weighted MRI: a simulation and in vivo study on healthy subjects and multiple sclerosis patients.

Stig P Cramer, Henrik B W Larsson

Registry-linked trialAbstract readEvaluation Study
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03193086 (The Effect of Alemtuzumab on the Blood-brain-barrier and Cerebral Metabolism in Multiple Sclerosis Patients; a New MRI Method for Treatment Response Evaluation in Multiple Sclerosis), which is not on this map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 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.

NCT03193086 unknown statusnot on this mapstarted 2017, after this paper: background citation

The Effect of Alemtuzumab on the Blood-brain-barrier and Cerebral Metabolism in Multiple Sclerosis Patients; a New MRI Method for Treatment Response Evaluation in Multiple Sclerosis

TypeobservationalSponsorGlostrup University Hospital, CopenhagenRan2017 to 2020Enrolled35ConditionsMultiple SclerosisArmsAlemtuzumab
3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
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  7. Disentangling MRI-derived blood-brain barrier leakage into vascular permeability and surface area.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
  8. Simultaneous measurement of water transport across the blood-brain and blood-CSF barrier in the human brain with arterial spin labeling MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
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  11. Review
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  13. Response to letter to the editor.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  14. Slowly crossing the blood-brain barrier takes time.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  15. Article
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  19. Blood-brain barrier disruption imaging in postoperative cerebral hyperperfusion syndrome using DCE-MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  20. Article

3 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

2 authors.

Stig P Cramer1] Functional Imaging Unit, Department of Diagnostics, Glostrup Hospital, University of Copenhagen, Glostrup, Denmark [2] Department of Neurology, Glostrup Hospital, University of Copenhagen, Glostrup, Denmark.
Henrik B W Larsson1] Functional Imaging Unit, Department of Diagnostics, Glostrup Hospital, University of Copenhagen, Glostrup, Denmark [2] Department of Circulation and Medical Imaging, Faculty of Medicine, The Norwegian University of Technology and Science, Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is increasingly used to estimate permeability in situations with subtle blood-brain barrier (BBB) leakage. However, the method's ability to differentiate such low values from zero is unknown, and no consensus exists on optimal selection of total measurement duration, temporal resolution, and modeling approach under varying physiologic circumstances. To estimate accuracy and precision of the DCE-MRI method we generated simulated data using a two-compartment model and progressively down-sampled and truncated the data to mimic low temporal resolution and short total measurement duration. Model fit was performed with the Patlak, the extended Tofts, and the Tikhonov two-compartment (Tik-2CM) models. Overall, 17 healthy controls were scanned to obtain in vivo data. Long total measurement duration (15 minutes) and high temporal resolution (1.25 seconds) greatly improved accuracy and precision for all three models, enabling us to differentiate values of permeability as low as 0.1 ml/100 g/min from zero. The Patlak model yielded highest accuracy and precision for permeability values <0.3 ml/100 g/min, but for higher values the Tik-2CM performed best. Our results emphasize the importance of optimal parameter setup and model selection when characterizing low BBB permeability.

Indexed as

AdultAlgorithmsBlood-Brain BarrierComputer SimulationFemaleHumansMagnetic Resonance ImagingMaleModels, BiologicalMultiple SclerosisPermeabilitySensitivity and SpecificityYoung Adult

Identifiers

PMID25074746
PMCPMC4269724

What OpenQuestion holds

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Registered trials

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.