Evidence map›Paper›PMID 25086595›Full record

ArticleBMC medical imaging2014

Diffusion-weighted MRI characteristics of the cerebral metastasis to brain boundary predicts patient outcomes.

Rasheed Zakaria, Kumar Das, Mark Radon, Maneesh Bhojak, Philip R Rudland, Vanessa Sluming, Michael D Jenkinson

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Review
  8. Metastatic Lesions of the Brain and Spine.Advances in experimental medicine and biology · 2023
    Article
  9. Article
  10. Advanced MRI to differentiate schwannomas and metastases in the cerebellopontine angle/internal auditory canal.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
    Article
  11. Article
  12. Diffusion Tensor Imaging Can Discriminate the Primary Cell Type of Intracranial Metastases for Patients with Lung Cancer.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Article
  13. VCAM-1-targeted MRI Improves Detection of the Tumor-brain Interface.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  14. Article
  15. Article
  16. 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

7 authors at 2 institutions in 1 country.

Rasheed ZakariaDepartment of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK. rzakaria@nhs.net.
Kumar Das
Mark Radon
Maneesh Bhojak
Philip R Rudland
Vanessa Sluming
Michael D Jenkinson
University of Liverpool · GBWalton Centre · GB

Funding

Medical Research Council G0801447Medical Research Council MR/L017342/1
6 · The paper itself

Abstract

backgroundDiffusion-weighted MRI (DWI) has been used in neurosurgical practice mainly to distinguish cerebral metastases from abscess and glioma. There is evidence from other solid organ cancers and metastases that DWI may be used as a biomarker of prognosis and treatment response. We therefore investigated DWI characteristics of cerebral metastases and their peritumoral region recorded pre-operatively and related these to patient outcomes.

methodsRetrospective analysis of 76 cases operated upon at a single institution with DWI performed pre-operatively at 1.5T. Maps of apparent diffusion coefficient (ADC) were generated using standard protocols. Readings were taken from the tumor, peritumoral region and across the brain-tumor interface. Patient outcomes were overall survival and time to local recurrence.

resultsA minimum ADC greater than 919.4 × 10(-6) mm(2)/s within a metastasis predicted longer overall survival regardless of adjuvant therapies. This was not simply due to differences between the types of primary cancer because the effect was observed even in a subgroup of 36 patients with the same primary, non-small cell lung cancer. The change in diffusion across the tumor border and into peritumoral brain was measured by the "ADC transition coefficient" or ATC and this was more strongly predictive than ADC readings alone. Metastases with a sharp change in diffusion across their border (ATC >0.279) showed shorter overall survival compared to those with a more diffuse edge. The ATC was the only imaging measurement which independently predicted overall survival in multivariate analysis (hazard ratio 0.54, 95% CI 0.3 - 0.97, p = 0.04).

conclusionsDWI demonstrates changes in the tumor, across the tumor edge and in the peritumoral region which may not be visible on conventional MRI and this may be useful in predicting patient outcomes for operated cerebral metastases.

Indexed as

AdultAgedAged, 80 and overBrain NeoplasmsDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedRetrospective StudiesSurvival AnalysisTreatment Outcome

Identifiers

PMID25086595
PMCPMC4126355
OpenAlexW2120701145

What OpenQuestion holds

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LicenceCC BY
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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.