Literature DB >> 29619611

Self-guided training for deep brain stimulation planning using objective assessment.

Matthew S Holden1, Yulong Zhao2, Claire Haegelen3, Caroline Essert4, Sara Fernandez-Vidal5, Eric Bardinet5, Tamas Ungi6, Gabor Fichtinger6, Pierre Jannin2.   

Abstract

OBJECTIVE: Deep brain stimulation (DBS) is an increasingly common treatment for neurodegenerative diseases. Neurosurgeons must have thorough procedural, anatomical, and functional knowledge to plan electrode trajectories and thus ensure treatment efficacy and patient safety. Developing this knowledge requires extensive training. We propose a training approach with objective assessment of neurosurgeon proficiency in DBS planning.
METHODS: To assess proficiency, we propose analyzing both the viability of the planned trajectory and the manner in which the operator arrived at the trajectory. To improve understanding, we suggest a self-guided training course for DBS planning using real-time feedback. To validate the proposed measures of proficiency and training course, two experts and six novices followed the training course, and we monitored their proficiency measures throughout.
RESULTS: At baseline, experts planned higher quality trajectories and did so more efficiently. As novices progressed through the training course, their proficiency measures increased significantly, trending toward expert measures.
CONCLUSION: We developed and validated measures which reliably discriminate proficiency levels. These measures are integrated into a training course, which quantitatively improves trainee performance. The proposed training course can be used to improve trainees' proficiency, and the quantitative measures allow trainees' progress to be monitored.

Entities:  

Keywords:  Deep brain stimulation; Objective skill assessment; Simulation-based training

Mesh:

Year:  2018        PMID: 29619611     DOI: 10.1007/s11548-018-1753-3

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  18 in total

1.  The impact of external feedback on computer-assisted learning for surgical technical skill training.

Authors:  D A Rogers; G Regehr; T R Howdieshell; K A Yeh; E Palm
Journal:  Am J Surg       Date:  2000-04       Impact factor: 2.565

2.  CranialVault and its CRAVE tools: a clinical computer assistance system for deep brain stimulation (DBS) therapy.

Authors:  Pierre-François D'Haese; Srivatsan Pallavaram; Rui Li; Michael S Remple; Chris Kao; Joseph S Neimat; Peter E Konrad; Benoit M Dawant
Journal:  Med Image Anal       Date:  2010-08-01       Impact factor: 8.545

3.  Visualization and navigation system development and application for stereotactic deep-brain neurosurgeries.

Authors:  Ting Guo; Kirk W Finnis; Andrew G Parrent; Terry M Peters
Journal:  Comput Aided Surg       Date:  2006-09

4.  A collaborative virtual reality environment for neurosurgical planning and training.

Authors:  Ralf A Kockro; Axel Stadie; Eike Schwandt; Robert Reisch; Cleopatra Charalampaki; Ivan Ng; Tseng Tsai Yeo; Peter Hwang; Luis Serra; Axel Perneczky
Journal:  Neurosurgery       Date:  2007-11       Impact factor: 4.654

5.  Support vector machines improve the accuracy of evaluation for the performance of laparoscopic training tasks.

Authors:  Brian Allen; Vasile Nistor; Erik Dutson; Greg Carman; Catherine Lewis; Petros Faloutsos
Journal:  Surg Endosc       Date:  2009-06-16       Impact factor: 4.584

6.  Perk Tutor: an open-source training platform for ultrasound-guided needle insertions.

Authors:  Tamas Ungi; Derek Sargent; Eric Moult; Andras Lasso; Csaba Pinter; Robert C McGraw; Gabor Fichtinger
Journal:  IEEE Trans Biomed Eng       Date:  2012-09-17       Impact factor: 4.538

7.  Automatic computation of electrode trajectories for Deep Brain Stimulation: a hybrid symbolic and numerical approach.

Authors:  Caroline Essert; Claire Haegelen; Florent Lalys; Alexandre Abadie; Pierre Jannin
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-08-25       Impact factor: 2.924

8.  Deep-brain stimulation: long-term analysis of complications caused by hardware and surgery--experiences from a single centre.

Authors:  J Voges; Y Waerzeggers; M Maarouf; R Lehrke; A Koulousakis; D Lenartz; V Sturm
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-03-30       Impact factor: 10.154

9.  Reduced risk trajectory planning in image-guided keyhole neurosurgery.

Authors:  Reuben R Shamir; Leo Joskowicz; Idit Tamir; Elad Dabool; Lihi Pertman; Adam Ben-Ami; Yigal Shoshan
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

10.  Multisurgeon, multisite validation of a trajectory planning algorithm for deep brain stimulation procedures.

Authors:  Yuan Liu; Peter E Konrad; Joseph S Neimat; Stephen B Tatter; Hong Yu; Ryan D Datteri; Bennett A Landman; Jack H Noble; Srivatsan Pallavaram; Benoit M Dawant; Pierre-François D'Haese
Journal:  IEEE Trans Biomed Eng       Date:  2014-05-09       Impact factor: 4.538

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