Literature DB >> 16235672

Comparison of the reliability of brain lesion localization when using traditional and stereotactic image-guided techniques: a prospective study.

Carl J Spivak1, Fahrad Pirouzmand.   

Abstract

OBJECT: Accurate localization of brain lesions is of utmost importance. Traditional methods of localization that involve the use of neuroimaging and surface anatomy have been replaced in certain cases by using frameless stereotactic neuronavigational systems. Even though these systems have been found to be accurate, no studies have been conducted to investigate whether the systems provide improved localization accuracy compared with traditional methods.
METHODS: Twenty-two patients undergoing image-guided surgery with the aid of the Stealth Neuro-Station were prospectively enrolled in this study. All patients underwent standard magnetic resonance or computerized tomography imaging, as well as special Stealth-sequenced imaging acquired using scalp fiducial markers. Traditional and Stealth estimates of the surface projection of lesions were determined, digitally photographed, and later compared. The mean (+/- standard deviation) error associated with traditional localization of lesions was 1.1 +/- 0.7 cm in the mediolateral plane and 1.3 +/- 1.1 cm in the anteroposterior plane. This error was not significantly affected by the size or location of the lesion.
CONCLUSIONS: Findings of this study indicate that the conventional localization technique used to demarcate brain cortical and subcortical lesions has an error of approximately 1 to 1.5 cm in both the mediolateral and anteroposterior directions. This error can be reduced by judicious use of image-guided techniques.

Entities:  

Mesh:

Year:  2005        PMID: 16235672     DOI: 10.3171/jns.2005.103.3.0424

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  10 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.  AI-Assisted In Situ Detection of Human Glioma Infiltration Using a Novel Computational Method for Optical Coherence Tomography.

Authors:  Ronald M Juarez-Chambi; Carmen Kut; Jose J Rico-Jimenez; Kaisorn L Chaichana; Jiefeng Xi; Daniel U Campos-Delgado; Fausto J Rodriguez; Alfredo Quinones-Hinojosa; Xingde Li; Javier A Jo
Journal:  Clin Cancer Res       Date:  2019-07-17       Impact factor: 12.531

3.  Detection of human brain cancer infiltration ex vivo and in vivo using quantitative optical coherence tomography.

Authors:  Carmen Kut; Kaisorn L Chaichana; Jiefeng Xi; Shaan M Raza; Xiaobu Ye; Elliot R McVeigh; Fausto J Rodriguez; Alfredo Quiñones-Hinojosa; Xingde Li
Journal:  Sci Transl Med       Date:  2015-06-17       Impact factor: 17.956

4.  Towards in-vivo label-free detection of brain tumor margins with epi-illumination tomographic quantitative phase imaging.

Authors:  Paloma Casteleiro Costa; Zhe Guang; Patrick Ledwig; Zhaobin Zhang; Stewart Neill; Jeffrey J Olson; Francisco E Robles
Journal:  Biomed Opt Express       Date:  2021-02-25       Impact factor: 3.732

Review 5.  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

Review 6.  Image-guided, stereotactic perforator flap surgery: a prospective comparison of current techniques and review of the literature.

Authors:  W M Rozen; A Buckland; M W Ashton; D L Stella; T J Phillips; G I Taylor
Journal:  Surg Radiol Anat       Date:  2009-01-22       Impact factor: 1.246

7.  Minimally invasive supratentorial neurosurgical approaches guided by Smartphone app and compass.

Authors:  Bruno Fernandes de Oliveira Santos; Daniel de Araujo Paz; Victor Miranda Fernandes; José Calasans Dos Santos; Feres Eduardo Aparecido Chaddad-Neto; Antonio Carlos Sobral Sousa; Joselina Luzia Menezes Oliveira
Journal:  Sci Rep       Date:  2021-03-24       Impact factor: 4.379

8.  3D preoperative planning in the ER with OsiriX®: when there is no time for neuronavigation.

Authors:  Mauricio Mandel; Robson Amorim; Wellingson Paiva; Marcelo Prudente; Manoel Jacobsen Teixeira; Almir Ferreira de Andrade
Journal:  Sensors (Basel)       Date:  2013-05-16       Impact factor: 3.576

9.  A Low-Cost iPhone-Assisted Augmented Reality Solution for the Localization of Intracranial Lesions.

Authors:  YuanZheng Hou; LiChao Ma; RuYuan Zhu; XiaoLei Chen; Jun Zhang
Journal:  PLoS One       Date:  2016-07-25       Impact factor: 3.240

10.  Image-Guided Navigation in Lymph Node Biopsy.

Authors:  Aaron Lee Wiegmann; Joseph R Broucek; Reid N Fletcher; Minh B Luu; Daniel J Deziel; Jonathan A Myers
Journal:  JSLS       Date:  2018 Apr-Jun       Impact factor: 2.172

  10 in total

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