ArticleJournal of visualized experiments : JoVE2016
A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery.
Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Investigatory pathway and principles of patient selection for epilepsy surgery candidates: a systematic review.BMC neurology · 2020Pooled it
- Accuracy of intracranial electrode placement for stereoencephalography: A systematic review and meta-analysis.Epilepsia · 2017Pooled it
- Resection of the piriform cortex for temporal lobe epilepsy: a Novel approach on imaging segmentation and surgical application.British journal of neurosurgery · 2024Article
- Review
- Machine learning approaches for imaging-based prognostication of the outcome of surgery for mesial temporal lobe epilepsy.Epilepsia · 2022Article
- Multimodal Intraoperative Image-Driven Surgery for Skull Base Chordomas and Chondrosarcomas.Cancers · 2022Article
- Article
- Getting the best outcomes from epilepsy surgery.Annals of neurology · 2018Review
- Automated trajectory planning for laser interstitial thermal therapy in mesial temporal lobe epilepsy.Epilepsia · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Epilepsy surgery is challenging and the use of 3D multimodality image integration (3DMMI) to aid presurgical planning is well-established. Multimodality image integration can be technically demanding, and is underutilised in clinical practice. We have developed a single software platform for image integration, 3D visualization and surgical planning. Here, our pipeline is described in step-by-step fashion, starting with image acquisition, proceeding through image co-registration, manual segmentation, brain and vessel extraction, 3D visualization and manual planning of stereoEEG (SEEG) implantations. With dissemination of the software this pipeline can be reproduced in other centres, allowing other groups to benefit from 3DMMI. We also describe the use of an automated, multi-trajectory planner to generate stereoEEG implantation plans. Preliminary studies suggest this is a rapid, safe and efficacious adjunct for planning SEEG implantations. Finally, a simple solution for the export of plans and models to commercial neuronavigation systems for implementation of plans in the operating theater is described. This software is a valuable tool that can support clinical decision making throughout the epilepsy surgery pathway.
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Registered trials
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.