Literature DB >> 31593931

The importance of dead material within a tumour on the dynamics in response to radiotherapy.

Thomas D Lewin1, Helen M Byrne, Philip K Maini, Jimmy J Caudell, Eduardo G Moros, Heiko Enderling.   

Abstract

In vivo tumours are highly heterogeneous, often comprising regions of hypoxia and necrosis. Radiotherapy significantly alters the intratumoural composition. Moreover, radiation-induced cell death may occur via a number of different mechanisms that act over different timescales. Dead material may therefore occupy a significant portion of the tumour volume for some time after irradiation and may affect the subsequent tumour dynamics. We present a three phase tumour growth model that accounts for the effects of radiotherapy and use it to investigate how dead material within the tumour may affect the spatio-temporal tumour response dynamics. We use numerical simulation of the model equations to characterise qualitatively different tumour volume dynamics in response to fractionated radiotherapy. We demonstrate examples, and associated parameter values, for which the properties of the dead material significantly alter the observed tumour volume dynamics throughout treatment. These simulations suggest that for some cases it may not be possible to accurately predict radiotherapy response from pre-treatment, gross tumour volume measurements without consideration of the dead material within the tumour.

Entities:  

Year:  2020        PMID: 31593931     DOI: 10.1088/1361-6560/ab4c27

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

1.  Data Driven Mathematical Model of Colon Cancer Progression.

Authors:  Arkadz Kirshtein; Shaya Akbarinejad; Wenrui Hao; Trang Le; Sumeyye Su; Rachel A Aronow; Leili Shahriyari
Journal:  J Clin Med       Date:  2020-12-05       Impact factor: 4.241

2.  A Mathematical Model of Breast Tumor Progression Based on Immune Infiltration.

Authors:  Navid Mohammad Mirzaei; Sumeyye Su; Dilruba Sofia; Maura Hegarty; Mohamed H Abdel-Rahman; Alireza Asadpoure; Colleen M Cebulla; Young Hwan Chang; Wenrui Hao; Pamela R Jackson; Adrian V Lee; Daniel G Stover; Zuzana Tatarova; Ioannis K Zervantonakis; Leili Shahriyari
Journal:  J Pers Med       Date:  2021-10-15

3.  Simulation of Gamma-Ray Transmission Buildup Factors for Stratified Spherical Layers.

Authors:  Abdulrahman A Alfuraih
Journal:  Dose Response       Date:  2022-02-17       Impact factor: 2.658

4.  Tumor Volume Regression during and after Radiochemotherapy: A Macroscopic Description.

Authors:  Paolo Castorina; Gianluca Ferini; Emanuele Martorana; Stefano Forte
Journal:  J Pers Med       Date:  2022-03-26

Review 5.  Mathematical modeling of radiotherapy and its impact on tumor interactions with the immune system.

Authors:  Rebecca Anne Bekker; Sungjune Kim; Shari Pilon-Thomas; Heiko Enderling
Journal:  Neoplasia       Date:  2022-04-19       Impact factor: 6.218

6.  Forecasting Individual Patient Response to Radiation Therapy in Head and Neck Cancer With a Dynamic Carrying Capacity Model.

Authors:  Mohammad U Zahid; Nuverah Mohsin; Abdallah S R Mohamed; Jimmy J Caudell; Louis B Harrison; Clifton D Fuller; Eduardo G Moros; Heiko Enderling
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-06-05       Impact factor: 7.038

  6 in total

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