Automated Identification of Stereoelectroencephalography Contacts and Measurement of Factors Influencing Accuracy of Frame Stereotaxy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00366141" target="_blank" >RIV/68407700:21230/23:00366141 - isvavai.cz</a>
Alternative codes found
RIV/00064203:_____/23:10464802 RIV/00216208:11130/23:10464802
Result on the web
<a href="https://doi.org/10.1109/JBHI.2023.3271857" target="_blank" >https://doi.org/10.1109/JBHI.2023.3271857</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JBHI.2023.3271857" target="_blank" >10.1109/JBHI.2023.3271857</a>
Alternative languages
Result language
angličtina
Original language name
Automated Identification of Stereoelectroencephalography Contacts and Measurement of Factors Influencing Accuracy of Frame Stereotaxy
Original language description
Objective: Stereoelectroencephalography (SEEG) is an established invasive diagnostic technique for use in patients with drug-resistant focal epilepsy evaluated before resective epilepsy surgery. The factors that influence the accuracy of electrode implantation are not fully understood. Adequate accuracy prevents the risk of major surgery complications. Precise knowledge of the anatomical positions of individual electrode contacts is crucial for the interpretation of SEEG recordings and subsequent surgery. Methods: We developed an image processing pipeline to localize implanted electrodes and detect individual contact positions using computed tomography (CT), as a substitute for time-consuming manual labeling. The algorithm automates measurement of parameters of the electrodes implanted in the skull (bone thickness, implantation angle and depth) for use in modeling of predictive factors that influence implantation accuracy. Results: Fifty-four patients evaluated by SEEG were analyzed. A total of 662 SEEG electrodes with 8,745 contacts were stereotactically inserted. The automated detector localized all contacts with better accuracy than manual labeling (p < 0.001). The retrospective implantation accuracy of the target point was 2.4 ± 1.1 mm. A multifactorial analysis determined that almost 58% of the total error was attributable to measurable factors. The remaining 42% was attributable to random error.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Journal of Biomedical and Health Informatics
ISSN
2168-2194
e-ISSN
2168-2208
Volume of the periodical
27
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
3326-3336
UT code for WoS article
001022230000020
EID of the result in the Scopus database
2-s2.0-85159828560