A Modern Analytical Approach for Assessing the Treatment Effectiveness of Pancreatic Adenocarcinoma Patients Belonging to Different Demographics and Cancer Stages

Aditya Chakraborty^1, and Chris P. Tsokos²

¹Assistant Professor Eastern Virginia Medical School

²Distinguished University Professor University of South Florida

Cite this paper:
Aditya Chakraborty and Chris P. Tsokos. A Modern Analytical Approach for Assessing the Treatment Effectiveness of Pancreatic Adenocarcinoma Patients Belonging to Different Demographics and Cancer Stages. Journal of Cancer Research and Treatment. 2023; 11(1):13-18. doi: 10.12691/jcrt-11-1-3

Abstract

Purpose: The purpose of the study is to detect the treatment effectiveness for different patient groups (belonging to different demographics and cancer stages, taking different treatments) at early stages. Method: In this study, we introduced an analytical method to monitor the behavior of survival times of pancreatic adenocarcinoma patients by introducing two new concepts: Survival Index (SI), and Stochastic Growth Intensity Function (SGIF), ζ(t). A total of 108 patient groups receiving three different treatments; only chemotherapy (C), only radiation (R), and a combination of chemotherapy and radiation (C + R) were constructed using the SEER Cancer Database. Results: Our analytical method is helpful to predict the survival pattern based on the (SI) as a function of time t; which necessarily provides information if the specific treatment has been useful for the particular patient group. That is if (SI) > 1 implies the treatment has an adverse effect on the patient’s survival. (SI) ≈ 1 implies the survival rate is approximately constant by the implementation of the treatment, and (SI) < 1 implies the treatment has been effective on the patient’s survival. Conclusion: The adaptability of our technique stems from the fact that our algorithm may be used for any number of patient groups of any age, of any race, at any specific cancer stage, and receiving any unique treatment or combination.

Keywords:
pancreatic cancer survival index Stochastic Growth Intensity Factor (SGIF) SEER Cancer Database

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