Evidence map›Paper›PMID 30426399›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Robotic surgical rehearsal on patient-specific 3D-printed skull models for stereoelectroencephalography (SEEG).

Divaldo Camara, Fedor Panov, Holly Oemke, Saadi Ghatan, Anthony Costa

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Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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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

5 citing papers in PubMed.

  1. Evaluating the Efficacy of a Novel Multimaterial 3D-Printed Phantom for Otologic Surgical Education and Simulation.Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology · 2026
    Article
  2. 3D printing in medicine: bridging imaging, education, and practice.Archives of medical sciences. Atherosclerotic diseases · 2025
    Article
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4 · The record

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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

5 authors.

Divaldo CamaraDepartment of Neurosurgery, Ichan School of Medicine at Mount Sinai, New York, NY, USA. divaldo.camara@mountsinai.org.ORCID http://orcid.org/0000-0003-3258-8606
Fedor PanovDepartment of Neurosurgery, Ichan School of Medicine at Mount Sinai, New York, NY, USA.
Holly OemkeDepartment of Neurosurgery, Ichan School of Medicine at Mount Sinai, New York, NY, USA.
Saadi GhatanDepartment of Neurosurgery, Ichan School of Medicine at Mount Sinai, New York, NY, USA.
Anthony CostaDepartment of Neurosurgery, Ichan School of Medicine at Mount Sinai, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMedically refractory epilepsy patients commonly require surgical alternatives for diagnosis and treatment. Stereoelectroencephalography (SEEG) is a useful diagnostic procedure in seizure focus elucidation. Modern techniques involve the use of robotics and neuronavigation for SEEG. A steep learning curve combined with multiple complex technologies employed during the case makes this procedure a perfect candidate for surgical rehearsal. This paper tests the feasibility of the use of patient-specific 3D-printed model for surgical rehearsal of robotic SEEG.

methodsA 3D-printed model was created using the patient's cranial computed tomography and computed tomography angiography radiological imaging. A rehearsal in an operating room (OR) prior to the actual procedure date was used for surgical planning of SEEG electrodes, education of the residents and fellows as well as training of the support staff. Attention was paid to assure precise recreation of the surgical procedure.

resultsThe patient-specific 3D-printed model tolerated each step of the procedure from facial registration, to drilling, bolt insertion and lead placement. Accuracy of the designed trajectory to the electrode final position was visually confirmed at the end of procedure. Important modification to the plan of eventual surgery improved the efficiency of the real operation.

conclusionFor surgical planning, education and training purposes in robotic SEEG, 3D-printed models may be utilized as a realistic anatomy tool. Potential applications of this technique include trajectory feasibility evaluation, patient positioning optimization, increasing OR efficiency, as well as neurosurgical education and patient counseling.

Indexed as

Stereotaxic TechniquesDrug Resistant EpilepsyElectroencephalographyHumansRobotic Surgical ProceduresSkull3D modelEpilepsyRobotic surgerySEEG

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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.