JPM, Vol. 15, Pages 275: Quantitative Method for Monitoring Tumor Evolution During and After Therapy

Journal of Personalized Medicine doi: 10.3390/jpm15070275

Authors:
Paolo Castorina
Filippo Castiglione
Gianluca Ferini
Stefano Forte
Emanuele Martorana

Objectives: The quantitative analysis of tumor progression—monitored during and immediately after therapeutic interventions—can yield valuable insights into both long-term disease dynamics and treatment efficacy. Methods: We used a computational approach designed to support clinical decision-making, with a focus on personalized patient care, based on modeling therapy effects using effective parameters of the Gompertz law. Results: The method is applied to data from in vivo models undergoing neoadjuvant chemoradiotherapy, as well as conventional and FLASH radiation treatments. Conclusions: This user-friendly, phenomenological model captures distinct phases of treatment response and identifies a critical dose threshold distinguishing complete response from partial response or tumor regrowth. These findings lay the groundwork for real-time quantitative monitoring of disease progression during therapy and contribute to a more tailored and predictive clinical strategy.

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Paolo Castorina www.mdpi.com