Evidence map›Paper›PMID 31381800›Full record

ArticleOperative neurosurgery (Hagerstown, Md.)2020

Computer-Assisted Versus Manual Planning for Stereotactic Brain Biopsy: A Retrospective Comparative Pilot Study.

Hani J Marcus, Vejay N Vakharia, Rachel Sparks, Roman Rodionov, Neil Kitchen, Andrew W McEvoy, Anna Miserocchi, Lewis Thorne, Sebastien Ourselin, John S Duncan

Abstract read
In one paragraph

Article in Operative neurosurgery (Hagerstown, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Launching Stealth AutoGuideFrontiers in robotics and AI · 2024
    Article
  7. Article
  8. Validation of a novel path planner for stereotactic neurosurgical interventions-A retrospective clinical study.The international journal of medical robotics + computer assisted surgery : MRCAS · 2022
    Article
  9. Review
  10. Review
  11. 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

10 authors.

Hani J MarcusDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
Vejay N VakhariaWellcome EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
Rachel SparksWellcome EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
Roman RodionovDepartment of Clinical and Experimental Epilepsy, UCL Institute of Neurology, London, United Kingdom.
Neil KitchenDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
Andrew W McEvoyDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
Anna MiserocchiDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
Lewis ThorneDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom.
Sebastien OurselinWellcome EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom.
John S DuncanDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom.

Funding

Wellcome Trust WT097914Wellcome Trust WT106882
6 · The paper itself

Abstract

backgroundStereotactic brain biopsy is among the most common neurosurgical procedures. Planning an optimally safe surgical trajectory requires careful attention to a number of features including the following: (1) traversing the skull perpendicularly; (2) minimizing trajectory length; and (3) avoiding critical neurovascular structures.

objectiveTo evaluate a platform, SurgiNav, for automated trajectory planning in stereotactic brain biopsy.

methodsA prospectively maintained database was searched between February and August 2017 to identify all adult patients who underwent stereotactic brain biopsy and for whom postoperative imaging was available. In each case, the standard preoperative, T1-weighted, gadolinium-enhanced magnetic resonance imaging was used to generate a model of the cortex. A surgical trajectory was then generated using computer-assisted planning (CAP) , and metrics of the trajectory were compared to the trajectory of the previously implemented manual plan (MP).

resultsFifteen consecutive patients were identified. Feasible trajectories were generated using CAP in all patients, and the mean angle determined using CAP was more perpendicular to the skull than using MP (10.0° vs 14.6° from orthogonal; P = .07), the mean trajectory length was shorter (38.5 vs 43.5 mm; P = .01), and the risk score was lower (0.27 vs 0.52; P = .03).

conclusionCAP for stereotactic brain biopsy appears feasible and may be safer in selected cases.

Indexed as

BrainComputersAdultBiopsyElectrodes, ImplantedHumansPilot ProjectsRetrospective StudiesAutomatedBiopsyComputer-assisted surgerySurgery

Identifiers

PMID31381800
PMCPMC8414905

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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.