Evidence map›Paper›PMID 28117925›Full record

ArticleJournal of magnetic resonance imaging : JMRI2017

Blood-brain barrier permeability of normal-appearing white matter in patients with vestibular schwannoma: A new hybrid approach for analysis of T

Ka-Loh Li, Xiaoping Zhu, Sha Zhao, Alan Jackson

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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

4 authors.

Ka-Loh LiDivision of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK.
Xiaoping ZhuDivision of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK.
Sha ZhaoDivision of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK.
Alan JacksonDivision of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK.

Funding

Cancer Research UK 18097
6 · The paper itself

Abstract

purposeTo develop and assess a "hybrid" method that combines a first-pass analytical approach and the Patlak plot (PP) to improve assessment of low blood-brain barrier permeability from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) data. MATERIALS AND

methodsSeven patients with vestibular schwannoma were enrolled. T

resultsThe simulation showed that, at a noise level of 4% (a noise level similar to the in vivo data) and using a signal intensity (SI) averaging scheme, the new hybrid method achieved a PD of 0.9 ± 2.7% for v

conclusionBoth computer simulation and in vivo studies demonstrate improved reliability in v LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:79-93.

Indexed as

Capillary PermeabilityAgedBlood-Brain BarrierDiffusion Magnetic Resonance ImagingFemaleHumansImage EnhancementMagnetic Resonance AngiographyMaleMiddle AgedMultimodal ImagingNeuroma, AcousticReproducibility of ResultsSensitivity and SpecificityWhite Matterblood-brain barrier permeabilityDCE-MRIfirst-pass modelneurofibromatosis type 2normal appearing white matterPatlak plot

Identifiers

PMID28117925
PMCPMC5484377

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Registered trials

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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.