Evidence map›Paper›PMID 30235004›Full record

ArticleThe British journal of radiology2019

Unified platform for multimodal voxel-based analysis to evaluate tumour perfusion and diffusion characteristics before and after radiation treatment evaluated in metastatic brain cancer.

Catherine Coolens, Brandon Driscoll, Warren Foltz, Igor Svistoun, Noha Sinno, Caroline Chung

Abstract read
In one paragraph

Article in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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.

Catherine Coolens1 Department of Medical Physics, Princess Margaret Cancer Center and University Health Network , Toronto, ON , Canada.ORCID http://orcid.org/0000-0003-4321-5506
Brandon Driscoll1 Department of Medical Physics, Princess Margaret Cancer Center and University Health Network , Toronto, ON , Canada.
Warren Foltz1 Department of Medical Physics, Princess Margaret Cancer Center and University Health Network , Toronto, ON , Canada.
Igor Svistoun1 Department of Medical Physics, Princess Margaret Cancer Center and University Health Network , Toronto, ON , Canada.
Noha Sinno1 Department of Medical Physics, Princess Margaret Cancer Center and University Health Network , Toronto, ON , Canada.
Caroline Chung4 TECHNA Institute, University Health Network , Toronto, ON , Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective: Early changes in tumour behaviour following stereotactic radiosurgery) are potential biomarkers of response. To-date quantitative model-based measures of dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) MRI parameters have shown widely variable findings, which may be attributable to variability in image acquisition, post-processing and analysis. Big data analytic approaches are needed for the automation of computationally intensive modelling calculations for every voxel, independent of observer interpretation.

methods: This unified platform is a voxel-based, multimodality architecture that brings complimentary solute transport processes such as perfusion and diffusion into a common framework. The methodology was tested on synthetic data and digital reference objects and consequently evaluated in patients who underwent volumetric DCE-CT, DCE-MRI and DWI-MRI scans before and after treatment. Three-dimensional pharmacokinetic parameter maps from both modalities were compared as well as the correlation between apparent diffusion coefficient (ADC) values and the extravascular, extracellular volume (V

results: System testing on synthetic Tofts model data and digital reference objects recovered the ground truth parameters with mean relative percent error of 1.07 × 10

conclusion: The unified implementation of multiparametric transport modelling allowed for more robust and timely observer-independent data analytics. Utility of a common analysis platform has shown higher correlations between pharmacokinetic parameters obtained from different modalities than has previously been reported. ADVANCES IN KNOWLEDGE:: Utility of a common analysis platform has shown statistically higher correlations between pharmacokinetic parameters obtained from different modalities than has previously been reported.

Indexed as

Contrast MediaBrainBrain NeoplasmsDiffusion Magnetic Resonance ImagingHumansImaging, Three-DimensionalMagnetic Resonance ImagingMultimodal ImagingRadiosurgeryTomography, X-Ray ComputedTreatment OutcomeContrast Media

Identifiers

PMID30235004
PMCPMC6540849

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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.