Tissue damage-tracking control system for image-guided photothermal therapy of cancer
Photothermal therapy (PTT) is a type of cancer treatment capable of damaging tumors using laser irradiation. This procedure can be a promising approach to complement current cancer therapies, due in part to its minimal invasiveness. One of the challenges of photothermal therapy is the potential coll...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Thermal Engineering |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fther.2022.1005117/full |
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| author | Mauricio Céspedes Tenorio Carlos A. Wattson Sánchez Diego S. Dumani Diego S. Dumani |
| author_facet | Mauricio Céspedes Tenorio Carlos A. Wattson Sánchez Diego S. Dumani Diego S. Dumani |
| author_sort | Mauricio Céspedes Tenorio |
| collection | DOAJ |
| description | Photothermal therapy (PTT) is a type of cancer treatment capable of damaging tumors using laser irradiation. This procedure can be a promising approach to complement current cancer therapies, due in part to its minimal invasiveness. One of the challenges of photothermal therapy is the potential collateral damage to the surrounding healthy tissue, as well as excessive temperature increase in the target tumor region that can cause tissue carbonization and evaporation. With the aim of increasing the performance of photothermal therapy in damaging targeted tumor while keeping healthy nearby tissue unaffected, this research proposes the use of a feedback control system that considers the cumulative thermal damage to both types of tissue. Two separate control algorithms (fuzzy logic and PI) were designed and tested in silico using simulations made in MATLAB® and Python. Results showed that both controllers successfully accomplished the proposed goals. Therefore, the feasibility of using these automated systems to improve the efficacy and safety of PTT was demonstrated. |
| format | Article |
| id | doaj-art-f50f260a47fd40148b03d149e32cbee8 |
| institution | Kabale University |
| issn | 2813-0456 |
| language | English |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Thermal Engineering |
| spelling | doaj-art-f50f260a47fd40148b03d149e32cbee82025-01-17T10:18:38ZengFrontiers Media S.A.Frontiers in Thermal Engineering2813-04562022-11-01210.3389/fther.2022.10051171005117Tissue damage-tracking control system for image-guided photothermal therapy of cancerMauricio Céspedes Tenorio0Carlos A. Wattson Sánchez1Diego S. Dumani2Diego S. Dumani3School of Electrical Engineering, University of Costa Rica, San Pedro, Costa RicaSchool of Electrical Engineering, University of Costa Rica, San Pedro, Costa RicaSchool of Electrical Engineering, University of Costa Rica, San Pedro, Costa RicaResearch Center on Surgery and Cancer (CICICA), University of Costa Rica, San Pedro, Costa RicaPhotothermal therapy (PTT) is a type of cancer treatment capable of damaging tumors using laser irradiation. This procedure can be a promising approach to complement current cancer therapies, due in part to its minimal invasiveness. One of the challenges of photothermal therapy is the potential collateral damage to the surrounding healthy tissue, as well as excessive temperature increase in the target tumor region that can cause tissue carbonization and evaporation. With the aim of increasing the performance of photothermal therapy in damaging targeted tumor while keeping healthy nearby tissue unaffected, this research proposes the use of a feedback control system that considers the cumulative thermal damage to both types of tissue. Two separate control algorithms (fuzzy logic and PI) were designed and tested in silico using simulations made in MATLAB® and Python. Results showed that both controllers successfully accomplished the proposed goals. Therefore, the feasibility of using these automated systems to improve the efficacy and safety of PTT was demonstrated.https://www.frontiersin.org/articles/10.3389/fther.2022.1005117/fullphotothermal therapyimage-guided therapyhyperthermiathermometrybiomedical system modelingfuzzy logic |
| spellingShingle | Mauricio Céspedes Tenorio Carlos A. Wattson Sánchez Diego S. Dumani Diego S. Dumani Tissue damage-tracking control system for image-guided photothermal therapy of cancer Frontiers in Thermal Engineering photothermal therapy image-guided therapy hyperthermia thermometry biomedical system modeling fuzzy logic |
| title | Tissue damage-tracking control system for image-guided photothermal therapy of cancer |
| title_full | Tissue damage-tracking control system for image-guided photothermal therapy of cancer |
| title_fullStr | Tissue damage-tracking control system for image-guided photothermal therapy of cancer |
| title_full_unstemmed | Tissue damage-tracking control system for image-guided photothermal therapy of cancer |
| title_short | Tissue damage-tracking control system for image-guided photothermal therapy of cancer |
| title_sort | tissue damage tracking control system for image guided photothermal therapy of cancer |
| topic | photothermal therapy image-guided therapy hyperthermia thermometry biomedical system modeling fuzzy logic |
| url | https://www.frontiersin.org/articles/10.3389/fther.2022.1005117/full |
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