La modélisation mathématique in vivo de la croissance tumorale sur les données de l’imagerie : un avenir proche ?

Saut, Oliver; Cumsill, P.; Lombardi, Damiano; Iollo, Angelo; Palussière, Jean; Colin, Thierry

doi:10.1016/j.jradio.2013.02.008

Search citation statements

Order By: Relevance

Paper Sections

Select...

Description Of the Biomechanical Model1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where, 0 σ > is the intrinsic growth rate, Φ is the maximum capacity of a voxel. and quiescent cells, and was inspired by [26]. Cells survival probability after irradiation is given by the time-dependent linear quadratic model [27].…”

Section: Description Of the Biomechanical Modelmentioning

confidence: 99%

An Hybrid Model for Rectal Tumour Response Prediction during Radiotherapy

Apeke¹,

Gaubert²,

Boussion³

et al. 2022

OJBIPHY

View full text Add to dashboard Cite

A hybrid model is proposed in this study to predict rectal tumour response during radiotherapy treatment. As the oxygen partial pressure distribution (pO 2 ) is a data which is naturally represented at the microscopic scale, we firstly estimate the optimal pO 2 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 pO 2 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.

show abstract

Section: Description Of the Biomechanical Modelmentioning

confidence: 99%