Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical Cancer
Hyperthermia treatment consists of elevating the temperature of the tumor to increase the effectiveness of radiotherapy and chemotherapy. Hyperthermia treatment planning (HTP) is an important tool to optimize treatment quality using pre-treatment temperature predictions. The accuracy of these predic...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10274656/ |
| _version_ | 1797272707570597888 |
|---|---|
| author | Iva VilasBoas-Ribeiro Kemal Sumser Sven Nouwens Theresa Feddersen W.P.M.H. Heemels Gerard C. van Rhoon Margarethus M. Paulides |
| author_facet | Iva VilasBoas-Ribeiro Kemal Sumser Sven Nouwens Theresa Feddersen W.P.M.H. Heemels Gerard C. van Rhoon Margarethus M. Paulides |
| author_sort | Iva VilasBoas-Ribeiro |
| collection | DOAJ |
| description | Hyperthermia treatment consists of elevating the temperature of the tumor to increase the effectiveness of radiotherapy and chemotherapy. Hyperthermia treatment planning (HTP) is an important tool to optimize treatment quality using pre-treatment temperature predictions. The accuracy of these predictions depends on modeling uncertainties such as tissue properties and positioning. In this study, we evaluated if HTP accuracy improves when the patient is imaged inside the applicator at the start of treatment. Because perfusion is a major uncertainty source, the importance of accurate treatment position and anatomy was evaluated using different perfusion values. Volunteers were scanned using MR imaging without (“planning setup”) and with the MR-compatible hyperthermia device (“treatment setup”). Temperature-based quality indicators were used to assess the differences between the standard, apparent and the optimized hyperthermia dose. We conclude that pre-treatment imaging can improve HTP predictions accuracy but also, that tissue perfusion modelling is crucial if temperature-based optimization is applied. |
| first_indexed | 2024-03-07T14:32:16Z |
| format | Article |
| id | doaj.art-b433039b109746c898980af612d688d6 |
| institution | Directory Open Access Journal |
| issn | 2644-1276 |
| language | English |
| last_indexed | 2024-03-07T14:32:16Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj.art-b433039b109746c898980af612d688d62024-03-06T00:01:40ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762024-01-0159910610.1109/OJEMB.2023.332199010274656Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical CancerIva VilasBoas-Ribeiro0https://orcid.org/0000-0002-3853-0387Kemal Sumser1https://orcid.org/0000-0002-6695-2659Sven Nouwens2https://orcid.org/0000-0002-6919-6641Theresa Feddersen3https://orcid.org/0000-0003-3695-8360W.P.M.H. Heemels4https://orcid.org/0000-0003-3440-8007Gerard C. van Rhoon5https://orcid.org/0000-0002-7365-5783Margarethus M. Paulides6https://orcid.org/0000-0002-3853-0387Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The NetherlandsCare and Cure research lab (EM-4C&C) of the Electromagnetics Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The NetherlandsControl System Technology Group, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The NetherlandsDepartment of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The NetherlandsControl System Technology Group, Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The NetherlandsDepartment of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The NetherlandsCare and Cure research lab (EM-4C&C) of the Electromagnetics Group, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The NetherlandsHyperthermia treatment consists of elevating the temperature of the tumor to increase the effectiveness of radiotherapy and chemotherapy. Hyperthermia treatment planning (HTP) is an important tool to optimize treatment quality using pre-treatment temperature predictions. The accuracy of these predictions depends on modeling uncertainties such as tissue properties and positioning. In this study, we evaluated if HTP accuracy improves when the patient is imaged inside the applicator at the start of treatment. Because perfusion is a major uncertainty source, the importance of accurate treatment position and anatomy was evaluated using different perfusion values. Volunteers were scanned using MR imaging without (“planning setup”) and with the MR-compatible hyperthermia device (“treatment setup”). Temperature-based quality indicators were used to assess the differences between the standard, apparent and the optimized hyperthermia dose. We conclude that pre-treatment imaging can improve HTP predictions accuracy but also, that tissue perfusion modelling is crucial if temperature-based optimization is applied.https://ieeexplore.ieee.org/document/10274656/Hyperthermia treatment planning (HTP)MR imagingthermal modelingperfusionoptimization approach |
| spellingShingle | Iva VilasBoas-Ribeiro Kemal Sumser Sven Nouwens Theresa Feddersen W.P.M.H. Heemels Gerard C. van Rhoon Margarethus M. Paulides Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical Cancer IEEE Open Journal of Engineering in Medicine and Biology Hyperthermia treatment planning (HTP) MR imaging thermal modeling perfusion optimization approach |
| title | Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical Cancer |
| title_full | Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical Cancer |
| title_fullStr | Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical Cancer |
| title_full_unstemmed | Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical Cancer |
| title_short | Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical Cancer |
| title_sort | adapting temperature predictions to mr imaging in treatment position to improve simulation guided hyperthermia for cervical cancer |
| topic | Hyperthermia treatment planning (HTP) MR imaging thermal modeling perfusion optimization approach |
| url | https://ieeexplore.ieee.org/document/10274656/ |
| work_keys_str_mv | AT ivavilasboasribeiro adaptingtemperaturepredictionstomrimagingintreatmentpositiontoimprovesimulationguidedhyperthermiaforcervicalcancer AT kemalsumser adaptingtemperaturepredictionstomrimagingintreatmentpositiontoimprovesimulationguidedhyperthermiaforcervicalcancer AT svennouwens adaptingtemperaturepredictionstomrimagingintreatmentpositiontoimprovesimulationguidedhyperthermiaforcervicalcancer AT theresafeddersen adaptingtemperaturepredictionstomrimagingintreatmentpositiontoimprovesimulationguidedhyperthermiaforcervicalcancer AT wpmhheemels adaptingtemperaturepredictionstomrimagingintreatmentpositiontoimprovesimulationguidedhyperthermiaforcervicalcancer AT gerardcvanrhoon adaptingtemperaturepredictionstomrimagingintreatmentpositiontoimprovesimulationguidedhyperthermiaforcervicalcancer AT margarethusmpaulides adaptingtemperaturepredictionstomrimagingintreatmentpositiontoimprovesimulationguidedhyperthermiaforcervicalcancer |