Optimizing fractionation schedules for de-escalation radiotherapy in head and neck cancers using deep reinforcement learning

Radiotherapy and Oncology, Год журнала: 2025, Номер unknown, С. 110833 - 110833

Опубликована: Март 1, 2025

Язык: Английский

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Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiation

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Год журнала: 2025, Номер 383(2293)

Опубликована: Апрель 2, 2025

We have developed a family of biology-based mathematical models high-grade glioma (HGG), capturing the key features tumour growth and response to chemoradiation. now seek quantify accuracy parameter estimation determine, when given virtual patient cohort, which model was used generate tumours. In this way, we systematically test both identifiability. Virtual patients are generated from unique parameters whose dynamics determined by family. then assessed ability recover select tumour. evaluated predictions using selected at four weeks post-chemoradiation. observed median errors 0.04% 72.96%. Our selection framework that data in 82% cases. Finally, predicted tumours resulting low error voxel-level (concordance correlation coefficient (CCC) ranged 0.66 0.99) global level (percentage total cellularity −12.35% 0.07%). These results demonstrate reliability our identify most appropriate under noisy conditions expected clinical setting. This article is part theme issue 'Uncertainty quantification for healthcare biological systems (Part 2)'.

Язык: Английский

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Modeling of chemo-radiotherapy targeting growing vascular tumors: A continuum-level approach

PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0301657 - e0301657

Опубликована: Янв. 15, 2025

The aim of this study is to demonstrate the enhanced efficiency combined therapeutic strategies for treatment growing tumors, based on computational experiments a continuous-level modeling framework. In particular, tumor growth simulated within host tissue and treated as multiphase fluid, with each cellular species considered distinct fluid phase. Our model integrates impact chemical dynamics, we –through reaction-diffusion equations– spatio-temporal evolution oxygen, vascular endothelial factor (VEGF) chemotherapeutic agents. Simulations exposed external radiation showcase rapid radiotherapy suppression, however effect diminishes over time. To enhance radiotherapy, investigate combination anti-VEGF drug bevacizumab cytotoxic docetaxel. simulations that synergistic approach immediate effectiveness therapy enduring tumor-suppressive capabilities chemotherapy.

Язык: Английский

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Assessing the role of model choice in parameter identifiability of cancer treatment efficacy

Frontiers in Applied Mathematics and Statistics, Год журнала: 2025, Номер 11

Опубликована: Март 24, 2025

Several mathematical models are commonly used to describe cancer growth dynamics. Fitting of these experimental data has not yet determined which particular model best describes growth. Unfortunately, choice is known drastically alter the predictions both future tumor and effectiveness applied treatment. Since there growing interest in using help predict chemotherapy, we need determine if affects estimates chemotherapy efficacy. Here, simulate an vitro study by creating synthetic treatment each seven fit sets other (“wrong”) models. We estimate ε max (the maximum efficacy drug) IC 50 drug concentration at half effect achieved) effort whether use incorrect changes parameters. find that largely weakly practically identifiable no matter generate or data. The more likely be identifiable, but sensitive model, showing poor identifiability when Bertalanffy either

Язык: Английский

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Modelling radiobiology

Physics in Medicine and Biology, Год журнала: 2024, Номер 69(18), С. 18TR01 - 18TR01

Опубликована: Авг. 19, 2024

Radiotherapy has played an essential role in cancer treatment for over a century, and remains one of the best-studied methods treatment. Because its close links with physical sciences, it been subject extensive quantitative mathematical modelling, but complete understanding mechanisms radiotherapy remained elusive. In part this is because complexity range scales involved radiotherapy-from radiation interactions occurring nanometres to evolution patient responses months years. This review presents current status ongoing research modelling across these scales, including basic DNA damage, immediate biological triggers, genetic- patient-level determinants response. Finally, some major challenges field potential avenues future improvements are also discussed.

Язык: Английский

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A joint physics and radiobiology DREAM team vision – Towards better response prediction models to advance radiotherapy

Radiotherapy and Oncology, Год журнала: 2024, Номер 196, С. 110277 - 110277

Опубликована: Апрель 25, 2024

Radiotherapy developed empirically through experience balancing tumour control and normal tissue toxicities. Early simple mathematical models formalized this practical knowledge enabled effective cancer treatment to date. Remarkable advances in technology, computing, experimental biology now create opportunities incorporate into enhanced computational models. The ESTRO DREAM (Dose Response, Experiment, Analysis, Modelling) workshop brought together experts across disciplines pursue the vision of personalized radiotherapy for optimal outcomes advanced modelling. ultimate is leveraging quantitative dynamically during therapy ultimately achieve truly adaptive biologically guided at population as well individual patient-based levels. This requires generation that inform response-based adaptations, individually optimized delivery enable biological monitoring provide decision support clinicians. goal expanding can drive realization outcomes. position paper provides their propositions describe how innovations biology, physics, mathematics, data science including AI could improve predictions. It consolidates team's consensus on scientific priorities organizational requirements. Scientifically, it stresses need rigorous, multifaceted model development, comprehensive validation clinical applicability significance. Organizationally, reinforces prerequisites interdisciplinary research collaboration between physicians, medical physicists, radiobiologists, scientists throughout development. Solely by a shared understanding needs, mechanisms, methods, more informed be created. Future environment must facilitate integrative method operation multiple disciplines.

Язык: Английский

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Simulating tumor volume dynamics in response to radiotherapy: Implications of model selection

Journal of Theoretical Biology, Год журнала: 2023, Номер 576, С. 111656 - 111656

Опубликована: Ноя. 10, 2023

Язык: Английский

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Mathematical modeling and analysis of cancer treatment with radiation and anti-PD-L1

Mathematical Biosciences, Год журнала: 2024, Номер 374, С. 109218 - 109218

Опубликована: Май 24, 2024

Язык: Английский

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Predicting Individual Tumor Response Dynamics in Locally Advanced Non-Small Cell Lung Cancer Radiation Therapy: A Mathematical Modelling Study

International Journal of Radiation Oncology*Biology*Physics, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский

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