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Concept of a fully-implantable system to monitor tumor recurrence

Current treatment for glioblastoma includes tumor resection followed by radiation, chemotherapy, and periodic post-operative examinations. Despite combination therapies, patients face a poor prognosis and eventual recurrence, which often occurs at the resection site. With standard MRI imaging survei...

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Autores principales: Schaufler, Anna, Sanin, Ahmed Y., Sandalcioglu, I. Erol, Hartmann, Karl, Croner, Roland S., Perrakis, Aristotelis, Wartmann, Thomas, Boese, Axel, Kahlert, Ulf D., Fischer, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541913/
https://www.ncbi.nlm.nih.gov/pubmed/37773315
http://dx.doi.org/10.1038/s41598-023-43226-3
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author Schaufler, Anna
Sanin, Ahmed Y.
Sandalcioglu, I. Erol
Hartmann, Karl
Croner, Roland S.
Perrakis, Aristotelis
Wartmann, Thomas
Boese, Axel
Kahlert, Ulf D.
Fischer, Igor
author_facet Schaufler, Anna
Sanin, Ahmed Y.
Sandalcioglu, I. Erol
Hartmann, Karl
Croner, Roland S.
Perrakis, Aristotelis
Wartmann, Thomas
Boese, Axel
Kahlert, Ulf D.
Fischer, Igor
author_sort Schaufler, Anna
collection PubMed
description Current treatment for glioblastoma includes tumor resection followed by radiation, chemotherapy, and periodic post-operative examinations. Despite combination therapies, patients face a poor prognosis and eventual recurrence, which often occurs at the resection site. With standard MRI imaging surveillance, histologic changes may be overlooked or misinterpreted, leading to erroneous conclusions about the course of adjuvant therapy and subsequent interventions. To address these challenges, we propose an implantable system for accurate continuous recurrence monitoring that employs optical sensing of fluorescently labeled cancer cells and is implanted in the resection cavity during the final stage of tumor resection. We demonstrate the feasibility of the sensing principle using miniaturized system components, optical tissue phantoms, and porcine brain tissue in a series of experimental trials. Subsequently, the system electronics are extended to include circuitry for wireless energy transfer and power management and verified through electromagnetic field, circuit simulations and test of an evaluation board. Finally, a holistic conceptual system design is presented and visualized. This novel approach to monitor glioblastoma patients is intended to early detect recurrent cancerous tissue and enable personalization and optimization of therapy thus potentially improving overall prognosis.
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spelling pubmed-105419132023-10-02 Concept of a fully-implantable system to monitor tumor recurrence Schaufler, Anna Sanin, Ahmed Y. Sandalcioglu, I. Erol Hartmann, Karl Croner, Roland S. Perrakis, Aristotelis Wartmann, Thomas Boese, Axel Kahlert, Ulf D. Fischer, Igor Sci Rep Article Current treatment for glioblastoma includes tumor resection followed by radiation, chemotherapy, and periodic post-operative examinations. Despite combination therapies, patients face a poor prognosis and eventual recurrence, which often occurs at the resection site. With standard MRI imaging surveillance, histologic changes may be overlooked or misinterpreted, leading to erroneous conclusions about the course of adjuvant therapy and subsequent interventions. To address these challenges, we propose an implantable system for accurate continuous recurrence monitoring that employs optical sensing of fluorescently labeled cancer cells and is implanted in the resection cavity during the final stage of tumor resection. We demonstrate the feasibility of the sensing principle using miniaturized system components, optical tissue phantoms, and porcine brain tissue in a series of experimental trials. Subsequently, the system electronics are extended to include circuitry for wireless energy transfer and power management and verified through electromagnetic field, circuit simulations and test of an evaluation board. Finally, a holistic conceptual system design is presented and visualized. This novel approach to monitor glioblastoma patients is intended to early detect recurrent cancerous tissue and enable personalization and optimization of therapy thus potentially improving overall prognosis. Nature Publishing Group UK 2023-09-29 /pmc/articles/PMC10541913/ /pubmed/37773315 http://dx.doi.org/10.1038/s41598-023-43226-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Schaufler, Anna
Sanin, Ahmed Y.
Sandalcioglu, I. Erol
Hartmann, Karl
Croner, Roland S.
Perrakis, Aristotelis
Wartmann, Thomas
Boese, Axel
Kahlert, Ulf D.
Fischer, Igor
Concept of a fully-implantable system to monitor tumor recurrence
title Concept of a fully-implantable system to monitor tumor recurrence
title_full Concept of a fully-implantable system to monitor tumor recurrence
title_fullStr Concept of a fully-implantable system to monitor tumor recurrence
title_full_unstemmed Concept of a fully-implantable system to monitor tumor recurrence
title_short Concept of a fully-implantable system to monitor tumor recurrence
title_sort concept of a fully-implantable system to monitor tumor recurrence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541913/
https://www.ncbi.nlm.nih.gov/pubmed/37773315
http://dx.doi.org/10.1038/s41598-023-43226-3
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