Evidence map›Paper›PMID 26636383›Full record

ArticleJournal of neurosurgery2016

Comparison of computer-assisted planning and manual planning for depth electrode implantations in epilepsy.

Mark Nowell, Rachel Sparks, Gergely Zombori, Anna Miserocchi, Roman Rodionov, Beate Diehl, Tim Wehner, Gianluca Baio, Gianluca Trevisi, Martin Tisdall and 3 more

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of neurosurgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Automation Advances in Stereoelectroencephalography Planning.Neurosurgery clinics of North America · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Stereoelectroencephalography in Pediatric Epilepsy Surgery.Journal of Korean Neurosurgical Society · 2019
    Article
  14. 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
  15. Article
  16. Article
  17. Stereoelectroencephalography: Indication and Efficacy.Neurologia medico-chirurgica · 2017
    Review
  18. Article
  19. Article
  20. Review
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

13 authors.

Mark NowellEpilepsy Society, MRI Unit, Chalfont St Peter;
Rachel SparksCentre of Medical Imaging and Computing, University College London;
Gergely ZomboriCentre of Medical Imaging and Computing, University College London;
Anna MiserocchiEpilepsy Society, MRI Unit, Chalfont St Peter;
Roman RodionovEpilepsy Society, MRI Unit, Chalfont St Peter;
Beate DiehlEpilepsy Society, MRI Unit, Chalfont St Peter;
Tim WehnerEpilepsy Society, MRI Unit, Chalfont St Peter;
Gianluca BaioDepartment of Statistical Science, University College London; and.
Gianluca TrevisiDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery;
Martin TisdallDepartment of Neurosurgery, Great Ormond Street Hospital;
Sebastien OurselinCentre of Medical Imaging and Computing, University College London;
Andrew W McEvoyEpilepsy Society, MRI Unit, Chalfont St Peter;
John DuncanEpilepsy Society, MRI Unit, Chalfont St Peter;

Funding

Wellcome Trust 097914
6 · The paper itself

Abstract

OBJECT The objective of this study was to evaluate the clinical utility of multitrajectory computer-assisted planning software (CAP) to plan stereoelectroencephalography (SEEG) electrode arrangements. METHODS A cohort of 18 patients underwent SEEG for evaluation of epilepsy at a single center between August 2013 and August 2014. Planning of electrodes was performed manually and stored using EpiNav software. CAP was developed as a planning tool in EpiNav. The user preselects a set of cerebral targets and optimized trajectory constraints, and then runs an automated search of potential scalp entry points and associated trajectories. Each trajectory is associated with metrics for a safety profile, derived from the minimal distance to vascular structures, and an efficacy profile, derived from the proportion of depth electrodes that are within or adjacent to gray matter. CAP was applied to the cerebral targets used in the cohort of 18 previous manually planned implantations to generate new multitrajectory implantation plans. A comparison was then undertaken for trajectory safety and efficacy. RESULTS CAP was applied to 166 electrode targets in 18 patients. There were significant improvements in both the safety profile and efficacy profile of trajectories generated by CAP compared with manual planning (p < 0.05). Three independent neurosurgeons assessed the feasibility of the trajectories generated by CAP, with 131 (78.9%) of 166 trajectories deemed suitable for implementation in clinical practice. CAP was performed in real time, with a median duration of 8 minutes for each patient, although this does not include the time taken for data preparation. CONCLUSIONS CAP is a promising tool to plan SEEG implantations. CAP provides feasible depth electrode arrangements, with quantitatively greater safety and efficacy profiles, and with a substantial reduction in duration of planning within the 3D multimodality framework.

Indexed as

Electrodes, ImplantedAdultBrainElectrocorticographyEpilepsyFeasibility StudiesFemaleHumansImaging, Three-DimensionalMaleMiddle AgedNeurosurgical ProceduresRiskSoftwareSurgery, Computer-AssistedYoung AdultCAP = computer-assisted planning softwarecomputer-assisted planningepilepsyintracranial EEGIQR = interquartile rangeSEEG = stereoelectroencephalographystereoelectroencephalography

Identifiers

PMID26636383
PMCPMC4820046

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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.