| Publikationstyp: | Konferenz: Sonstiges |
| Art der Begutachtung: | Peer review (Abstract) |
| Titel: | The use of qualitative and quantitative hyperthermic effects as discrimination criteria in radiobiological models |
| Autor/-in: | Mingo Barba, Sergio Lobo-Cerna, Fernando Lattuada, Marco Füchslin, Rudolf Marcel Fink, Alke Krawcyk, Prcemek M. Scheidegger, Stephan |
| et. al: | No |
| Angaben zur Konferenz: | 34th Annual Meeting European Society for Hyperthermic Oncology, Gothenburg, Sweden, 14-17 September 2022 |
| Erscheinungsdatum: | 2022 |
| Sprache: | Englisch |
| Schlagwörter: | Radiation biophysics; Model calibration |
| Fachgebiet (DDC): | 616: Innere Medizin und Krankheiten |
| Zusammenfassung: | Introduction: Hyperthermia (HT) induces various biological processes at the cellular level, such as repair impairment or direct cell killing. Analysis of patient data is essential to study the extend of such processes and their influence in the outcome of a combined hyperthermia plus radiotherapy (HT+RT) treatment under varying conditions. However, this approach may present several problems (small number of patients, heterogeneous treatment conditions, etc.) which may hinder the possibility to find statistically significant results. In contrast to standard statistical approaches, the inclusion of a biophysical model translates deviations in the treatment conditions into outcome variations, allowing a versatile sensitivity evaluation of planned clinical data analysis . This approach may be used to design clinical trials and to test the requirements of biophysical models regarding model complexity or parameters resolution based on the expected significance for the clinical impact. Objectives: Use radiobiological in-silico models for Tumor Control Probability (TCP) calculations under varying HT+RT conditions to study how variations of the treatment conditions may affect the treatment outcome. Methods: An extended linear-quadratic (LQ) model calibrated for the SiHa cell line (cervical cancer) was used to study the impact of varying HT treatment conditions in the radiosensitisation and the direct HT cytotoxicity effect. 104-106 simulated patients were generated to compute the TCP under different HT conditions. Furthermore, the treatment's thermal characteristics (number of HT sessions, temperature, time gap and treatment duration) were randomly selected within margins based on reported patient data. Results: From the cell radiosensitisation perspective (without chronological considerations ) (model without reproduction / repopulation), the treatment outcome is more related to the overall treatment than to a single HT session. Moreover, when the time-gap effect is not (less?) relevant (slow decay of heat-induced effects after HT), a clear correlation between the TCP and the mean achieved temperature of all HT sessions was found (Spearman’s rs=0.99 and Kendall’s τ=0.91). This correlation is worsened if direct HT cell killing is included in the calculations. Additionally, for time-gaps below 1 h, a clear outcome improvement can be observed for total CEM43 values around 10 min. Finally, the most sensitive model parameters are the linear coefficient of the LQ model and the parameters related to the direct HT cell killing. Also, the model parameters are more sensitive when the time-gap dependence is increased. Conclusion: The use of radiobiological models allows us to theoretically study the impact of varying thermal conditions in the HT+RT treatment outcome. This can be used not only to optimize HT treatments, but also to design clinical trials. Additionally, sensitivity analyses can shed light on the required parameters resolution to incorporate these models in the clinical workflow (e.g., within a biological treatment planning system). |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/30857 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Institut für Angewandte Mathematik und Physik (IAMP) |
| Publiziert im Rahmen des ZHAW-Projekts: | Hyperboost |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
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Mingo Barba, S., Lobo-Cerna, F., Lattuada, M., Füchslin, R. M., Fink, A., Krawcyk, P. M., & Scheidegger, S. (2022). The use of qualitative and quantitative hyperthermic effects as discrimination criteria in radiobiological models. 34th Annual Meeting European Society for Hyperthermic Oncology, Gothenburg, Sweden, 14-17 September 2022.
Mingo Barba, S. et al. (2022) ‘The use of qualitative and quantitative hyperthermic effects as discrimination criteria in radiobiological models’, in 34th Annual Meeting European Society for Hyperthermic Oncology, Gothenburg, Sweden, 14-17 September 2022.
S. Mingo Barba et al., “The use of qualitative and quantitative hyperthermic effects as discrimination criteria in radiobiological models,” in 34th Annual Meeting European Society for Hyperthermic Oncology, Gothenburg, Sweden, 14-17 September 2022, 2022.
MINGO BARBA, Sergio, Fernando LOBO-CERNA, Marco LATTUADA, Rudolf Marcel FÜCHSLIN, Alke FINK, Prcemek M. KRAWCYK und Stephan SCHEIDEGGER, 2022. The use of qualitative and quantitative hyperthermic effects as discrimination criteria in radiobiological models. In: 34th Annual Meeting European Society for Hyperthermic Oncology, Gothenburg, Sweden, 14-17 September 2022. Conference presentation. 2022
Mingo Barba, Sergio, Fernando Lobo-Cerna, Marco Lattuada, Rudolf Marcel Füchslin, Alke Fink, Prcemek M. Krawcyk, and Stephan Scheidegger. 2022. “The Use of Qualitative and Quantitative Hyperthermic Effects as Discrimination Criteria in Radiobiological Models.” Conference presentation. In 34th Annual Meeting European Society for Hyperthermic Oncology, Gothenburg, Sweden, 14-17 September 2022.
Mingo Barba, Sergio, et al. “The Use of Qualitative and Quantitative Hyperthermic Effects as Discrimination Criteria in Radiobiological Models.” 34th Annual Meeting European Society for Hyperthermic Oncology, Gothenburg, Sweden, 14-17 September 2022, 2022.
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