Evidence map›Paper›PMID 25656379›Full record

ArticleEpilepsia2015

Utility of 3D multimodality imaging in the implantation of intracranial electrodes in epilepsy.

Mark Nowell, Roman Rodionov, Gergely Zombori, Rachel Sparks, Gavin Winston, Jane Kinghorn, Beate Diehl, Tim Wehner, Anna Miserocchi, Andrew W McEvoy and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Epilepsia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Automation Advances in Stereoelectroencephalography Planning.Neurosurgery clinics of North America · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Optimizing Trajectories for Cranial Laser Interstitial Thermal Therapy Using Computer-Assisted Planning: A Machine Learning Approach.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2019
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Mark NowellDepartment of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, United Kingdom; Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom; MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom.
Roman Rodionov
Gergely Zombori
Rachel Sparks
Gavin Winston
Jane Kinghorn
Beate Diehl
Tim Wehner
Anna Miserocchi
Andrew W McEvoy
Sebastien Ourselin
John Duncan
University College London · GBEpilepsy Society · GBUCL Biomedical Research Centre · GB

Funding

Department of HealthWellcome Trust
6 · The paper itself

Abstract

objectiveWe present a single-center prospective study, validating the use of 3D multimodality imaging (3 DMMI) in patients undergoing intracranial electroencephalography (IC-EEG).

methodsIC-EEG implantation preparation entails first designing of the overall strategy of implantation (strategy) and second the precise details of implantation (planning). For each case, the multidisciplinary team made decisions on strategy and planning before the disclosure of multimodal brain imaging models. Any changes to decisions, following disclosure of the multimodal models, were recorded.

resultsDisclosure of 3 DMMI led to a change in strategy in 15 (34%) of 44 individuals. The changes included addition and subtraction of electrodes, addition of grids, and going directly to resection. For the detailed surgical planning, 3 DMMI led to a change in 35 (81%) of 43 individuals. Twenty-five (100%) of 25 patients undergoing stereo-EEG (SEEG) underwent a change in electrode placement, with 158 (75%) of 212 electrode trajectories being altered. SIGNIFICANCE: The use of 3 DMMI makes substantial changes in clinical decision making.

Indexed as

Electrodes, ImplantedImaging, Three-DimensionalAdolescentAdultElectroencephalographyEpilepsyFemaleHumansMaleMiddle AgedNeurosurgical ProceduresTreatment OutcomeYoung AdultEpilepsy surgeryImage integrationPresurgical evaluation

Identifiers

PMID25656379
PMCPMC4737214
OpenAlexW2061275553

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.