ArticleThe British journal of radiology2011
Monte Carlo radiotherapy simulations of accelerated repopulation and reoxygenation for hypoxic head and neck cancer.
Article in The British journal of radiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Accelerated vs. conventionally fractionated adjuvant radiotherapy in high-risk head and neck cancer: a meta-analysis.Radiation oncology (London, England) · 2018Pooled it
- Monte Carlo Simulations in Nanomedicine: Advancing Cancer Imaging and Therapy.Nanomaterials (Basel, Switzerland) · 2025Review
- Opportunities in Cancer Therapies: Deciphering the Role of Cancer Stem Cells in Tumour Repopulation.International journal of molecular sciences · 2023Review
- Development of a Dual Drug-Loaded, Surfactant-Stabilized Contrast Agent Containing Oxygen.Polymers · 2022Article
- MS-275 (Entinostat) Promotes Radio-Sensitivity in PAX3-FOXO1 Rhabdomyosarcoma Cells.International journal of molecular sciences · 2021Article
- Studying the regression profiles of cervical tumours during radiotherapy treatment using a patient-specific multiscale model.Scientific reports · 2019Article
- Simulation of head and neck cancer oxygenation and doubling time in a 4D cellular model with angiogenesis.Scientific reports · 2017Article
- Tumour repopulation and the role of abortive division in squamous cell carcinomas during chemotherapy.Cell proliferation · 2014Article
- Altered fractionation outcomes for hypoxic head and neck cancer using the HYP-RT Monte Carlo model.The British journal of radiology · 2013Article
- Compensability index for compensation radiotherapy after treatment interruptions.Radiation oncology (London, England) · 2012Article
- Influence of stem-cell cycle time on accelerated re-population during radiotherapy in head and neck cancer.Cell proliferation · 2012Article
- In silico modelling of treatment-induced tumour cell kill: developments and advances.Computational and mathematical methods in medicine · 2012Review
- The HYP-RT hypoxic tumour radiotherapy algorithm and accelerated repopulation dose per fraction study.Computational and mathematical methods in medicine · 2012Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveA temporal Monte Carlo tumour growth and radiotherapy effect model (HYP-RT) simulating hypoxia in head and neck cancer has been developed and used to analyse parameters influencing cell kill during conventionally fractionated radiotherapy. The model was designed to simulate individual cell division up to 10(8) cells, while incorporating radiobiological effects, including accelerated repopulation and reoxygenation during treatment.
methodReoxygenation of hypoxic tumours has been modelled using randomised increments of oxygen to tumour cells after each treatment fraction. The process of accelerated repopulation has been modelled by increasing the symmetrical stem cell division probability. Both phenomena were onset immediately or after a number of weeks of simulated treatment.
resultsThe extra dose required to control (total cell kill) hypoxic vs oxic tumours was 15-25% (8-20 Gy for 5 × 2 Gy per week) depending on the timing of accelerated repopulation onset. Reoxygenation of hypoxic tumours resulted in resensitisation and reduction in total dose required by approximately 10%, depending on the time of onset. When modelled simultaneously, accelerated repopulation and reoxygenation affected cell kill in hypoxic tumours in a similar manner to when the phenomena were modelled individually; however, the degree was altered, with non-additive results. Simulation results were in good agreement with standard linear quadratic theory; however, differed for more complex comparisons where hypoxia, reoxygenation as well as accelerated repopulation effects were considered.
conclusionSimulations have quantitatively confirmed the need for patient individualisation in radiotherapy for hypoxic head and neck tumours, and have shown the benefits of modelling complex and dynamic processes using Monte Carlo methods.
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