Literature DB >> 16888546

Quantification of true in vivo (application) accuracy in cranial image-guided surgery: influence of mode of patient registration.

Christopher R Mascott1, Jean-Christophe Sol, Philippe Bousquet, Jacques Lagarrigue, Yves Lazorthes, Valérie Lauwers-Cances.   

Abstract

OBJECTIVE: Very few studies have attempted to quantify the true (application) accuracy of image-guidance systems during craniotomy. This is, in part, because of the lack of millimetric intraoperative targets to allow such measurements. Few in vivo studies have compared the influence of mode of patient registration on subsequent true accuracy.
METHODS: Seven modes of patient registration (anatomic landmarks, 5 or 10 adhesive fiducials, bone-implanted fiducials [Stryker-Leibinger], surface matching using 45 or 100 points over scalp convexity or nose/auditory meatus contours) were compared. Thirty patients were involved in the study. Millimetric targets (bone drill holes or deep 1-mm titanium hemoclips) were placed then localized and saved at surgery. These targets were then identified on postoperative volumetric computed tomography fused with operative data sets. Localization errors of the targets were measured for each registration on an optical image-guidance system (StealthStation).
RESULTS: Only implanted cranial fiducials had a statistically significant accuracy advantage (1.7 +/- 0.7 mm). All other registrations had similar accuracies (approximately 4.0 +/- 1.7 mm) except anatomic landmarks, which were worse (4.8 +/- 1.9 mm). Calculated accuracies (root mean squared) had no predictive value for true (application) accuracies.
CONCLUSION: Not surprisingly, application accuracy of image-guidance is worse without implanted cranial markers. Unexpectedly, there was no major difference in localization of deep targets between the other registrations tested in this study. Care must be taken when using image-guidance tools to consider error introduced by registration. Cranium-implanted fiducials should be considered when high accuracy and reproducibility are needed.

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Year:  2006        PMID: 16888546     DOI: 10.1227/01.NEU.0000220089.39533.4E

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  28 in total

1.  Bilateral subthalamic stimulation for advanced Parkinson disease: early experience at an Eastern center.

Authors:  Shang-Ming Chiou; Yu-Chin Lin; Ming-Kuei Lu; Chon-Haw Tsai
Journal:  Neurol Sci       Date:  2014-11-14       Impact factor: 3.307

2.  Skin shift and its effect on navigation accuracy in image-guided neurosurgery.

Authors:  Takashi Mitsui; Masazumi Fujii; Masatoshi Tsuzaka; Yuichiro Hayashi; Yoshinori Asahina; Toshihiko Wakabayashi
Journal:  Radiol Phys Technol       Date:  2010-09-10

3.  New prototype neuronavigation system based on preoperative imaging and intraoperative freehand ultrasound: system description and validation.

Authors:  Laurence Mercier; Rolando F Del Maestro; Kevin Petrecca; Anna Kochanowska; Simon Drouin; Charles X B Yan; Andrew L Janke; Sean Jy-Shyang Chen; D Louis Collins
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-10-01       Impact factor: 2.924

4.  Is there an equivalence of non-invasive to invasive referenciation in computer-aided surgery?

Authors:  Tanja D Grauvogel; Juergen Grauvogel; Susan Arndt; Ansgar Berlis; Wolfgang Maier
Journal:  Eur Arch Otorhinolaryngol       Date:  2012-05-05       Impact factor: 2.503

5.  Real-time imaging with the o-arm for skull base applications: a cadaveric feasibility study.

Authors:  Shaan M Raza; Alfred P See; Michael Lim
Journal:  J Neurol Surg B Skull Base       Date:  2012-10

6.  Laser range scanning for image-guided neurosurgery: investigation of image-to-physical space registrations.

Authors:  Aize Cao; R C Thompson; P Dumpuri; B M Dawant; R L Galloway; S Ding; M I Miga
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

7.  Comparative study of application accuracy of two frameless neuronavigation systems: experimental error assessment quantifying registration methods and clinically influencing factors.

Authors:  Dimitrios Paraskevopoulos; Andreas Unterberg; Roland Metzner; Jens Dreyhaupt; Georg Eggers; Christian Rainer Wirtz
Journal:  Neurosurg Rev       Date:  2011-01-19       Impact factor: 3.042

8.  The comparative accuracy of the ROSA stereotactic robot across a wide range of clinical applications and registration techniques.

Authors:  Nicholas J Brandmeir; Sandip Savaliya; Pratik Rohatgi; Michael Sather
Journal:  J Robot Surg       Date:  2017-05-08

9.  Development of a Mixed Reality Platform for Lateral Skull Base Anatomy.

Authors:  Jonathan L McJunkin; Pawina Jiramongkolchai; Woenho Chung; Michael Southworth; Nedim Durakovic; Craig A Buchman; Jonathan R Silva
Journal:  Otol Neurotol       Date:  2018-12       Impact factor: 2.311

10.  Regional-surface-based registration for image-guided neurosurgery: effects of scan modes on registration accuracy.

Authors:  Yuan Dong; Chenxi Zhang; Dafeng Ji; Manning Wang; Zhijian Song
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-05-04       Impact factor: 2.924

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