Mi, H.M., Petitjean, C., Dubray, B., Vera, P. and Ruan, S. (2014) Prediction of Lung Tumor Evolution during Radiotherapy in Individual Patients with PET. IEEE Transactions on Medical Imaging, 33, 995-1003.
https://doi.org/10.1109/TMI.2014.2301892

has been cited by the following article:

• TITLE: An Hybrid Model for Rectal Tumour Response Prediction during Radiotherapy

  AUTHORS: Sena Apeke, Laurent Gaubert, Nicolas Boussion, Dimitris Visvikis, Olivier Saut, Thierry Colin, Philippe Lambin, Vincent Rodin, Pascal Redou

  KEYWORDS: Tumour, Treatment, Response, Discrete, Density, FDG PET, SUV, PDE, Simulation

  JOURNAL NAME: Open Journal of Biophysics, Vol.12 No.4, October 28, 2022

  ABSTRACT: A hybrid model is proposed in this study to predict rectal tumour response during radiotherapy treatment. As the oxygen partial pressure distribution (pO2) is a data which is naturally represented at the microscopic scale, we firstly estimate the optimal pO2 distribution using both a diffusion equation and a discrete multi-scale model (that we proposed in a previous study). The aim is to use the effectiveness in algorithmic complexity of the discrete model and its multi-scale aspect in this work to estimate biological information at cellular scale and then construct them at macroscopic scale. Secondly, the obtained pO2 distribution results are used as an input of a biomechanical model in order to simulate tumour volume evolution during radiotherapy. FDG PET images of 21 rectal cancer patients undergoing radiotherapy are used to simulate the tumour evolution during the treatment. The simulated results using the proposed hybride model, allow the interpretation of tumour aggressiveness.