Literature DB >> 10027491

Intraoperative computed tomography guided neuronavigation: concepts, efficiency, and work flow.

C Matula1, K Rössler, M Reddy, E Schindler, W T Koos.   

Abstract

Image-guided surgery is currently considered to be of undisputed value in microsurgical and endoscopical neurosurgery, but one of its major drawbacks is the degradation of accuracy during frameless stereotactic neuronavigation due to brain and/or lesion shift. A computed tomography (CT) scanner system (Philips Tomoscan M) developed for the operating room was connected to a pointer device navigation system for image-guided surgery (Philips EasyGuide system) in order to provide an integrated solution to this problem, and the advantages of this combination were evaluated in 20 cases (15 microsurgical and 5 endoscopic). The integration of the scanner into the operating room setup was successful in all procedures. The patients were positioned on a specially developed scanner table, which permitted movement to a scanning position then back to the operating position at any time during surgery. Contrast-enhanced preoperative CCTs performed following positioning and draping were of high quality in all cases, because a radiolucent head fixation technique was used. The accuracy achieved with this combination was significantly better (1.6:1.22.2). The overall concept is one of working in a closed system where everything is done in the same room, and the efficiency of this is clearly proven in different ways. The most important fact is the time saved in the overall treatment process (about 55 h for one operating room over a 6-month period). The combination of an intraoperative CCT scanner with the pointer device neuronavigation system permits not only the intraoperative control of resection of brain tumors, but also (in about 20% of cases) the identification of otherwise invisible residual tumor tissue by intraoperative update of the neuronavigation data set. Additionally, an image update solves the problem of intraoperative brain and/or tumor shifts during image-guided resection. Having the option of making an intraoperative quality check at any time leads to significantly increased efficiency, improves the operating work flow because of the closed-system concept, and offers an integrated solution for improved patient work flow and clinical outcome.

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Year:  1998        PMID: 10027491     DOI: 10.1002/(SICI)1097-0150(1998)3:4<174::AID-IGS7>3.0.CO;2-G

Source DB:  PubMed          Journal:  Comput Aided Surg        ISSN: 1092-9088


  9 in total

Review 1.  Computer-aided navigation in neurosurgery.

Authors:  P Grunert; K Darabi; J Espinosa; R Filippi
Journal:  Neurosurg Rev       Date:  2003-05       Impact factor: 3.042

2.  [Surgical intervention in patients with malignant glioma].

Authors:  Herwig Kostron; Karl Rössler
Journal:  Wien Med Wochenschr       Date:  2006-06

3.  Classical and real-time neuronavigation in pediatric neurosurgery.

Authors:  Jonathan Roth; Liana Beni-Adani; Naresh Biyani; Shlomi Constantini
Journal:  Childs Nerv Syst       Date:  2006-06-08       Impact factor: 1.475

4.  Estimation of brain deformation for volumetric image updating in protoporphyrin IX fluorescence-guided resection.

Authors:  Pablo A Valdés; Xiaoyao Fan; Songbai Ji; Brent T Harris; Keith D Paulsen; David W Roberts
Journal:  Stereotact Funct Neurosurg       Date:  2009-11-12       Impact factor: 1.875

Review 5.  Neuronavigation and surgery of intracerebral tumours.

Authors:  P W A Willems; J W Berkelbach van der Sprenkel; C A F Tulleken; M A Viergever; M J B Taphoorn
Journal:  J Neurol       Date:  2006-09-20       Impact factor: 4.849

6.  Three-Dimensional, computer simulated navigation in endoscopic neurosurgery.

Authors:  Roberta K Sefcik; Jonathan Rasouli; Joshua B Bederson; Raj K Shrivastava
Journal:  Interdiscip Neurosurg       Date:  2017-06

Review 7.  Visualization, navigation, augmentation. The ever-changing perspective of the neurosurgeon.

Authors:  A Boaro; F Moscolo; A Feletti; G M V Polizzi; S Nunes; F Siddi; M L D Broekman; F Sala
Journal:  Brain Spine       Date:  2022-08-17

8.  A momentum-based diffeomorphic demons framework for deformable MR-CT image registration.

Authors:  R Han; T De Silva; M Ketcha; A Uneri; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2018-10-24       Impact factor: 4.174

9.  Neuronavigation. Principles. Surgical technique.

Authors:  Marcel Ivanov; Alexandru Vlad Ciurea
Journal:  J Med Life       Date:  2009 Jan-Mar
  9 in total

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