Literature DB >> 11932817

Error analysis in cranial neuronavigation.

U Spetzger1, U Hubbe, T Struffert, M H T Reinges, T Krings, G A Krombach, J Zentner, J M Gilsbach, H S Stiehl.   

Abstract

Neuronavigation systems are now an important component of many modern neurosurgical treatment strategies. Their support facilities intraoperative orientation and makes neurosurgical operations more precise and less traumatic. Computer-aided neurosurgery is definitively not a temporary fashionable phenomenon, the concept of neuronavigation is here to stay. This report summarizes a ten-years-long experience and presents an error analysis of 108 failures (12.4 %) in a total of 874 image-guided cranial neurosurgical procedures with an arm-linked (mechanical) system and two different infrared-light emitting (optical) systems. The application of neuronavigation incurs multiple reasons for pitfalls because of the complex man-machine interface. Principally, we have to differentiate two types of errors: "machine made errors" due to soft- or hardware failure and "man made errors" generally, due to inadequate handling of the navigation system. The error analysis demonstrated that the so-called human interface plays the main role causing a high error rate.

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Mesh:

Year:  2002        PMID: 11932817     DOI: 10.1055/s-2002-23583

Source DB:  PubMed          Journal:  Minim Invasive Neurosurg        ISSN: 0946-7211


  9 in total

1.  Neurosurgical craniotomy localization using a virtual reality planning system versus intraoperative image-guided navigation.

Authors:  Axel T Stadie; Ralf A Kockro; Luis Serra; Gerrit Fischer; Eike Schwandt; Peter Grunert; Robert Reisch
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-09-01       Impact factor: 2.924

2.  Transcranial magnetic stimulation and the challenge of coil placement: a comparison of conventional and stereotaxic neuronavigational strategies.

Authors:  Roland Sparing; Dorothee Buelte; Ingo G Meister; Tomás Paus; Gereon R Fink
Journal:  Hum Brain Mapp       Date:  2008-01       Impact factor: 5.038

3.  [Modern skull base surgery from the perspective of neurosurgeons].

Authors:  U Spetzger
Journal:  HNO       Date:  2011-04       Impact factor: 1.284

4.  Stand-alone 3D-ultrasound navigation after failure of conventional image guidance for deep-seated lesions.

Authors:  Dorothea Miller; Ludwig Benes; Ulrich Sure
Journal:  Neurosurg Rev       Date:  2011-05-17       Impact factor: 3.042

Review 5.  Current status of augmented reality in cerebrovascular surgery: a systematic review.

Authors:  Pedro Aguilar-Salinas; Salvador F Gutierrez-Aguirre; Mauricio J Avila; Peter Nakaji
Journal:  Neurosurg Rev       Date:  2022-02-11       Impact factor: 3.042

6.  Perspectives and limitations of image-guided neurosurgery in pediatric patients.

Authors:  Vassilios I Vougioukas; Ulrich Hubbe; Albrecht Hochmuth; Nils C Gellrich; Vera van Velthoven
Journal:  Childs Nerv Syst       Date:  2003-10-11       Impact factor: 1.475

Review 7.  Neuronavigation in the surgical management of brain tumors: current and future trends.

Authors:  Daniel A Orringer; Alexandra Golby; Ferenc Jolesz
Journal:  Expert Rev Med Devices       Date:  2012-09       Impact factor: 3.166

8.  Accurate external localization of the left frontal cortex in dogs by using pointer based frameless neuronavigation.

Authors:  Robrecht Dockx; Kathelijne Peremans; Romain Duprat; Lise Vlerick; Nick Van Laeken; Jimmy H Saunders; Ingeborgh Polis; Filip De Vos; Chris Baeken
Journal:  PeerJ       Date:  2017-07-10       Impact factor: 2.984

9.  A new application of ultrasound-magnetic resonance multimodal fusion virtual navigation in glioma surgery.

Authors:  Chaofeng Liang; Manting Li; Jin Gong; Baoyu Zhang; Cong Lin; Haiyong He; Ke Zhang; Ying Guo
Journal:  Ann Transl Med       Date:  2019-12
  9 in total

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