Lung Tumor Growth Modeling in Patients with NSCLC Undergoing Radiotherapy

This paper proposes two modeling approaches to predict lung tumor dynamics as an effect of radiotherapy. Real clinical information non-small cell cancer (NSCLC) patients undergoing stereotactic body radiation therapy (SBRT) the primary treatment method has been used for numerical simulations. The classical Gompertz model volume growth prediction was modified using a fractional parameter and combined with linear-quadratic foresee SBRT on targeted tumor. Another approach implemented by following pharmacokinetic-pharmacodynamic (PKPD) minimal compartmental single SBRT. Statistical analysis carried out compare models. In terms prediction, obtained results indicated decrease in total both approaches. A striking observation emerge from data comparison is interesting perspective tools further exploration growth. Copyright (C) 2021 Authors.