Literature DB >> 28463615

A new tool for touch-free patient registration for robot-assisted intracranial surgery: application accuracy from a phantom study and a retrospective surgical series.

Francesco Cardinale1, Michele Rizzi1,2, Piergiorgio d'Orio1, Giuseppe Casaceli3, Gabriele Arnulfo4, Massimo Narizzano4, Davide Scorza5,6, Elena De Momi5, Michele Nichelatti7, Daniela Redaelli8, Maurizio Sberna8, Alessio Moscato9, Laura Castana1.   

Abstract

OBJECTIVE The purpose of this study was to compare the accuracy of Neurolocate frameless registration system and frame-based registration for robotic stereoelectroencephalography (SEEG). METHODS The authors performed a 40-trajectory phantom laboratory study and a 127-trajectory retrospective analysis of a surgical series. The laboratory study was aimed at testing the noninferiority of the Neurolocate system. The analysis of the surgical series compared Neurolocate-based SEEG implantations with a frame-based historical control group. RESULTS The mean localization errors (LE) ± standard deviations (SD) for Neurolocate-based and frame-based trajectories were 0.67 ± 0.29 mm and 0.76 ± 0.34 mm, respectively, in the phantom study (p = 0.35). The median entry point LE was 0.59 mm (interquartile range [IQR] 0.25-0.88 mm) for Neurolocate-registration-based trajectories and 0.78 mm (IQR 0.49-1.08 mm) for frame-registration-based trajectories (p = 0.00002) in the clinical study. The median target point LE was 1.49 mm (IQR 1.06-2.4 mm) for Neurolocate-registration-based trajectories and 1.77 mm (IQR 1.25-2.5 mm) for frame-registration-based trajectories in the clinical study. All the surgical procedures were successful and uneventful. CONCLUSIONS The results of the phantom study demonstrate the noninferiority of Neurolocate frameless registration. The results of the retrospective surgical series analysis suggest that Neurolocate-based procedures can be more accurate than the frame-based ones. The safety profile of Neurolocate-based registration should be similar to that of frame-based registration. The Neurolocate system is comfortable, noninvasive, easy to use, and potentially faster than other registration devices.

Entities:  

Keywords:  FM = fiducial marker; IQR = interquartile range; LE = localization error; Neurolocate; Neuromate; SEEG; SEEG = stereoelectroencephalography; US = ultrasound; depth electrodes; epilepsy surgery; frameless; image-guided surgery; robotics

Mesh:

Year:  2017        PMID: 28463615     DOI: 10.3171/2017.2.FOCUS16539

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  6 in total

1.  Stereotactic accuracy must be as high as possible in stereoelectroencephalography procedures.

Authors:  Francesco Cardinale; Michele Rizzi
Journal:  J Robot Surg       Date:  2017-06-26

2.  Tracing in vivo the dorsal loop of the optic radiation: convergent perspectives from tractography and electrophysiology compared to a neuroanatomical ground truth.

Authors:  Rizzi Michele; Sartori Ivana; Del Vecchio Maria; Berta Luca; Lizio Domenico; Zauli Flavia Maria; De Benedictis Alessandro; Sarubbo Silvio; Al-Orabi Khalid; Mariani Valeria; Avanzini Pietro
Journal:  Brain Struct Funct       Date:  2022-03-23       Impact factor: 3.270

3.  Accuracy of Robotic and Frame-Based Stereotactic Neurosurgery in a Phantom Model.

Authors:  Andrea Spyrantis; Tirza Woebbecke; Daniel Rueß; Anne Constantinescu; Andreas Gierich; Klaus Luyken; Veerle Visser-Vandewalle; Eva Herrmann; Florian Gessler; Marcus Czabanka; Harald Treuer; Maximilian Ruge; Thomas M Freiman
Journal:  Front Neurorobot       Date:  2022-03-25       Impact factor: 3.493

4.  Mobile intraoperative CT-assisted frameless stereotactic biopsies achieved single-millimeter trajectory accuracy for deep-seated brain lesions in a sample of 7 patients.

Authors:  Oliver Bichsel; Markus F Oertel; Lennart H Stieglitz
Journal:  BMC Neurol       Date:  2021-07-22       Impact factor: 2.474

5.  Robot-assisted stereotactic brain biopsy: systematic review and bibliometric analysis.

Authors:  Hani J Marcus; Vejay N Vakharia; Sebastien Ourselin; John Duncan; Martin Tisdall; Kristian Aquilina
Journal:  Childs Nerv Syst       Date:  2018-05-10       Impact factor: 1.475

6.  Stereotactic Neuro-Navigation Phantom Designs: A Systematic Review.

Authors:  Marko Švaco; Ivan Stiperski; Domagoj Dlaka; Filip Šuligoj; Bojan Jerbić; Darko Chudy; Marina Raguž
Journal:  Front Neurorobot       Date:  2020-10-23       Impact factor: 2.650

  6 in total

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