scholarly journals The effect of augmented reality on the learning curve of external ventricular drain placement

2021 ◽  
Vol 1 ◽  
pp. 100824
Author(s):  
F. Van Gestel ◽  
T. Frantz ◽  
C. Vannerom ◽  
A. Verhellen ◽  
A.G. Gallagher ◽  
...  
2021 ◽  
Vol 51 (2) ◽  
pp. E8
Author(s):  
Frederick Van Gestel ◽  
Taylor Frantz ◽  
Cédric Vannerom ◽  
Anouk Verhellen ◽  
Anthony G. Gallagher ◽  
...  

OBJECTIVE The traditional freehand technique for external ventricular drain (EVD) placement is most frequently used, but remains the primary risk factor for inaccurate drain placement. As this procedure could benefit from image guidance, the authors set forth to demonstrate the impact of augmented-reality (AR) assistance on the accuracy and learning curve of EVD placement compared with the freehand technique. METHODS Sixteen medical students performed a total of 128 EVD placements on a custom-made phantom head, both before and after receiving a standardized training session. They were guided by either the freehand technique or by AR, which provided an anatomical overlay and tailored guidance for EVD placement through inside-out infrared tracking. The outcome was quantified by the metric accuracy of EVD placement as well as by its clinical quality. RESULTS The mean target error was significantly impacted by either AR (p = 0.003) or training (p = 0.02) in a direct comparison with the untrained freehand performance. Both untrained (11.9 ± 4.5 mm) and trained (12.2 ± 4.7 mm) AR performances were significantly better than the untrained freehand performance (19.9 ± 4.2 mm), which improved after training (13.5 ± 4.7 mm). The quality of EVD placement as assessed by the modified Kakarla scale (mKS) was significantly impacted by AR guidance (p = 0.005) but not by training (p = 0.07). Both untrained and trained AR performances (59.4% mKS grade 1 for both) were significantly better than the untrained freehand performance (25.0% mKS grade 1). Spatial aptitude testing revealed a correlation between perceptual ability and untrained AR-guided performance (r = 0.63). CONCLUSIONS Compared with the freehand technique, AR guidance for EVD placement yielded a higher outcome accuracy and quality for procedure novices. With AR, untrained individuals performed as well as trained individuals, which indicates that AR guidance not only improved performance but also positively impacted the learning curve. Future efforts will focus on the translation and evaluation of AR for EVD placement in the clinical setting.


2019 ◽  
Vol 121 ◽  
pp. e535-e542 ◽  
Author(s):  
Markus Lenski ◽  
Annamaria Biczok ◽  
Volker Huge ◽  
Robert Forbrig ◽  
Josef Briegel ◽  
...  

Author(s):  
Frederick Van Gestel ◽  
Taylor Frantz ◽  
Mumtaz Hussain Soomro ◽  
Shirley A. Elprama ◽  
Cedric Vannerom ◽  
...  

2018 ◽  
Vol 29 (3) ◽  
pp. 435-442 ◽  
Author(s):  
Alejandro Enriquez-Marulanda ◽  
Luis C. Ascanio ◽  
Mohamed M. Salem ◽  
Georgios A. Maragkos ◽  
Ray Jhun ◽  
...  

2013 ◽  
Vol 155 (9) ◽  
pp. 1773-1779 ◽  
Author(s):  
Vaibhav Patil ◽  
Ronilda Lacson ◽  
Kirby G. Vosburgh ◽  
Judith M. Wong ◽  
Luciano Prevedello ◽  
...  

2021 ◽  
Vol 15 ◽  
Author(s):  
Giuseppe Emmanuele Umana ◽  
Gianluca Scalia ◽  
Kaan Yagmurlu ◽  
Rosalia Mineo ◽  
Simone Di Bella ◽  
...  

BackgroundExternal ventricular drain (EVD) placement is mandatory for several pathologies. The misplacement rate of the EVD varies widely in literature, ranging from 12.3 to 60%. The purpose of this simulation study is to provide preliminary data about the possibility of increasing the safety of one of the most common life-saving procedures in neurosurgery by testing a new device for EVD placement.MethodsWe used a novel guide for positioning the ventricular catheter (patent RM2014A000376). The trajectory was assessed using 25 anonymized head CT scans. The data sets were used to conduct three-dimensional computer-based and combined navigation and augmented reality-based simulations using plaster models. The data set inclusion criteria were volumetric head CT scan, without midline shift, of patients older than 18. Evans’ index was used to quantify the ventricle’s size. We excluded patients with slit ventricles, midline shift, skull fractures, or complex skull malformations. The proximal end of the device was tested on the cadaver.ResultsThe cadaveric tests proved that a surgeon could use the device without any external help. The multimodal simulation showed Kakarla grade 1 in all cases but one (grade 2) on both sides, after right and left EVD placement. The mean Evans’ index was 0.28. The geometric principles that explain the device’s efficacy can be summarized by studying the properties of circumference and chord. The contact occurs, for each section considered, at the extreme points of the chord. Its axis, perpendicular to the plane tangent to the spherical surface at the entry point, corresponds to the direction of entry of the catheter guided by the instrument.ConclusionAccording to our multimodal simulation on cadavers, 3D computer-based simulation, 3D plaster modeling, 3D neuronavigation, and augmented reality, the device promises to offer safer and effective EVD placement. Further validation in future clinical studies is recommended.


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