Collavini, S.; Pérez, JJ.; Berjano, E.; Fernández-Corazza, M.; Oddo, S.; Irastorza, RM. (2024). Impact of surrounding tissue-type and peri-electrode gap in stereoelectroencephalography guided (SEEG) radiofrequency thermocoagulation (RF-TC): a computational study. International Journal of Hyperthermia. 41(1):1-11. https://doi.org/10.1080/02656736.2024.2364721
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/211795
Título:
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Impact of surrounding tissue-type and peri-electrode gap in stereoelectroencephalography guided (SEEG) radiofrequency thermocoagulation (RF-TC): a computational study
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Autor:
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Collavini, Santiago
Pérez, Juan J
Berjano, Enrique
Fernández-Corazza, Mariano
Oddo, Silvia
Irastorza, Ramiro Miguel
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Entidad UPV:
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Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
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Fecha difusión:
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Resumen:
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[EN] Purpose: To use computational modeling to provide a complete and logical description of the electrical
and thermal behavior during stereoelectroencephalography-guided (SEEG) radiofrequency thermocoagulation (RF-TC).
Methods: ...[+]
[EN] Purpose: To use computational modeling to provide a complete and logical description of the electrical
and thermal behavior during stereoelectroencephalography-guided (SEEG) radiofrequency thermocoagulation (RF-TC).
Methods: A coupled electrical-thermal model was used to obtain the temperature distributions in the
tissue during RF-TC. The computer model was first validated by an ex vivo model based on liver
fragments and later used to study the impact of three different factors on the coagulation zone size: 1)
the difference in the tissue surrounding the electrode (gray/white matter), 2) the presence of a
peri-electrode gap occupied by cerebrospinal fluid (CSF), and 3) the energy setting used (power-duration).
Results: The model built for the experimental validation was able to predict both the evolution of
impedance and the short diameter of the coagulation zone (error < 0.01mm) reasonably well but
overestimated the long diameter by 2¿3mm. After adapting the model to clinical conditions, the
simulation showed that: 1) Impedance roll-off limited the coagulation size but involved overheating
(around 100°C); 2) The type of tissue around the contacts (gray vs. white matter) had a moderate
impact on the coagulation size (maximum difference 0.84mm), and 3) the peri-electrode gap considerably
altered the temperature distributions, avoided overheating, although the diameter of the coagulation
zone was not very different from the no-gap case (<0.2mm).
Conclusions: This study showed that computer modeling, especially subject- and scenario-specific
modeling, can be used to estimate in advance the electrical and thermal performance of the RF-TC in
brain tissue.
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Palabras clave:
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Computer modeling
,
Epilepsy
,
Intracerebral
,
Radiofrequency
,
Stereoelectroencephalography
,
Thermocoagulation
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Derechos de uso:
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Reconocimiento (by)
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Fuente:
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International Journal of Hyperthermia. (issn:
0265-6736
)
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DOI:
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10.1080/02656736.2024.2364721
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Editorial:
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Taylor & Francis
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Versión del editor:
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https://doi.org/10.1080/02656736.2024.2364721
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Coste APC:
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2500 €
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Código del Proyecto:
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info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-136273OB-C31/ES/MEJORA DE LAS TERAPIAS ABLATIVAS DE VANGUARDIA MEDIANTE EL CONTROL DEL COMPORTAMIENTO TISULAR Y CELULAR USANDO CAMPOS ELECTROMAGNETICOS/
info:eu-repo/grantAgreement/ANPCyT//PICT 2020-00457/
info:eu-repo/grantAgreement/ANPCyT//PICT 2019-0701/
info:eu-repo/grantAgreement/CONICET//PIP 11220200101515CO/
info:eu-repo/grantAgreement/UTN//MAECLP0009851TC/
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Agradecimientos:
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Spanish Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación, Fondo Europeo de Desarrollo Regional (Grant PID2022-136273OB-C31 funded by MCIN/AEI/10.13039/501100011033/FEDER, UE), Argentinean National Agency ...[+]
Spanish Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación, Fondo Europeo de Desarrollo Regional (Grant PID2022-136273OB-C31 funded by MCIN/AEI/10.13039/501100011033/FEDER, UE), Argentinean National Agency for the Promotion of Science and Technology ANPCyT (PICT 2019-0701, PICT 2020-00457), CONICET Argentina (PIP 11220200101515CO), and Universidad Tecnológica Nacional (PID Grant No. MAECLP0009851TC).
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Tipo:
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Artículo
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