Literature DB >> 28598265

Robot-assisted endoscopic third ventriculostomy: institutional experience in 9 patients.

Reid Hoshide1, Mark Calayag1, Hal Meltzer1, Michael L Levy1, David Gonda1.   

Abstract

OBJECTIVE The endoscopic third ventriculostomy (ETV) is an established and effective treatment for obstructive hydrocephalus. In its most common application, surgeons plan their entry point and the endoscope trajectory for the procedure based on anatomical landmarks, then control the endoscope freehand. Recent studies report an incidence of neural injuries as high as 16.6% of all ETVs performed in North America. The authors have introduced the ROSA system to their ETV procedure to stereotactically optimize endoscope trajectories, to reduce risk of traction on neural structures by the endoscope, and to provide a stable mechanical holder of the endoscope. Here, they present their series in which the ROSA system was used for ETVs. METHODS At the authors' institution, they performed ETVs with the ROSA system in 9 consecutive patients within an 8-month period. Patients had to have a favorable expected response to ETV (ETV Success Score ≥ 70) with no additional endoscopic procedures (e.g., choroid plexus cauterization, septum pellucidum fenestration). The modality of image registration (CT, MRI, surface mapping, or bone fiducials) was dependent on the case. RESULTS Nine pediatric patients with an age range of 1.5 to 16 years, 4 girls and 5 boys, with ETV Success Scores ranging from 70 to 90, underwent successful ETV surgery with the ROSA system within an 8-month period. Their intracranial pathologies included tectal tumors (n = 3), communicating hydrocephalus from hemorrhage or meningeal disease (n = 2), congenital aqueductal stenosis (n = 1), compressive porencephalic cyst (n = 1), Chiari I malformation (n = 1), and pineal region mass (n = 1). Robotic assistance was limited to the ventricular access in the first 2 procedures, but was used for the entirety of the procedure for the following 7 cases. Four of these cases were combined with another procedural objective (3 stereotactic tectal mass biopsies, 1 Chiari decompression). A learning curve was observed with each subsequent surgery as registration and surgical times became shorter and more efficient. All patients had complete resolution of their preprocedural symptoms. There were no complications. CONCLUSIONS The ROSA system provides a stable, precise, and minimally invasive approach to ETVs.

Entities:  

Keywords:  BA = basilar artery; ED = emergency department; ETV, ETVSS = endoscopic third ventriculostomy, ETV Success Score; EVD = external ventricular drain; OR = operating room; endoscopic third ventriculostomy; hydrocephalus; minimally invasive surgery; robotic surgical assist; surgical technique

Mesh:

Year:  2017        PMID: 28598265     DOI: 10.3171/2017.3.PEDS16636

Source DB:  PubMed          Journal:  J Neurosurg Pediatr        ISSN: 1933-0707            Impact factor:   2.375


  4 in total

1.  Neuronavigation-assisted bedside placement of bolt external ventricular drains in the intensive care setting: a technical note.

Authors:  Ivan Cabrilo; Claudia L Craven; Hazem Abuhusain; Laura Pradini-Santos; Hasan Asif; Hani J Marcus; Ugan Reddy; Laurence D Watkins; Ahmed K Toma
Journal:  Acta Neurochir (Wien)       Date:  2020-10-31       Impact factor: 2.216

2.  Pre-Clinical Development of Robot-Assisted Ventriculoscopy for 3D Image Reconstruction and Guidance of Deep Brain Neurosurgery.

Authors:  Prasad Vagdargi; Ali Uneri; Craig K Jones; Pengwei Wu; Runze Han; Mark G Luciano; William S Anderson; Patrick A Helm; Gregory D Hager; Jeffrey H Siewerdsen
Journal:  IEEE Trans Med Robot Bionics       Date:  2021-11-13

3.  Frameless stereotactic brain biopsy and external ventricular drainage placement using the RONNA G4 system.

Authors:  Marina Raguž; Domagoj Dlaka; Darko Orešković; Anđelo Kaštelančić; Darko Chudy; Bojan Jerbić; Bojan Šekoranja; Filip Šuligoj; Marko Švaco
Journal:  J Surg Case Rep       Date:  2022-05-31

4.  Soft Robotic Deployable Origami Actuators for Neurosurgical Brain Retraction.

Authors:  Tomas Amadeo; Daniel Van Lewen; Taylor Janke; Tommaso Ranzani; Anand Devaiah; Urvashi Upadhyay; Sheila Russo
Journal:  Front Robot AI       Date:  2022-01-14
  4 in total

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