A self-adaptive case-based reasoning system for dose planning in prostate cancer radiotherapy

Mishra, Nishikant; Petrovic, Sanja; Sundar, Santhanam

Abstract

Purpose: Prostate cancer is the most common cancer in the male population. Radiotherapy is often used in the treatment for prostate cancer. In radiotherapy treatment, the oncologist makes a trade-off between the risk and benefit of the radiation, i.e., the task is to deliver a high dose to the prostate cancer cells and minimize side effects of the treatment. The aim of our research is to develop a software system that will assist the oncologist in planning new treatments. Methods: A nonlinear case-based reasoning system is developed to capture the expertise and experience of oncologists in treating previous patients. Importance (weights) of different clinical parameters in the dose planning is determined by the oncologist based on their past experience, and is highly subjective. The weights are usually fixed in the system. In this research, the weights are updated automatically each time after generating a treatment plan for a new patient using a group based simulated annealing approach. Results: The developed approach is analyzed on the real data set collected from the Nottingham University Hospitals NHS Trust, City Hospital Campus, UK. Extensive experiments show that the dose plan suggested by the proposed method is coherent with the dose plan prescribed by an experienced oncologist or even better. Conclusions: The developed case-based reasoning system enables the use of knowledge and experience gained by the oncologist in treating new patients. This system may play a vital role to assist the oncologist in making a better decision in less computational time; it utilizes the success rate of the previously treated patients and it can also be used in teaching and training processes. © 2011 American Association of Physicists in Medicine.

Citation

Mishra, N., Petrovic, S., & Sundar, S. (2011). A self-adaptive case-based reasoning system for dose planning in prostate cancer radiotherapy. Medical physics, 38(12), 6528-6538. https://doi.org/10.1118/1.3660517

• Journal Article Type: Article
• Acceptance Date: Oct 25, 2011
• Online Publication Date: Nov 21, 2011
• Publication Date: Nov 21, 2011
• Deposit Date: Jun 8, 2022
• Journal: Medical Physics
• Print ISSN: 0094-2405
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 38
• Issue: 12
• Pages: 6528-6538
• DOI: https://doi.org/10.1118/1.3660517
• Keywords: Therapeutic applications, including brachytherapy; Cancer; Numerical optimization; adaptive systems; biological organs; cancer; decision support systems; medical computing planning (artificial intelligence); radiation therapy; simulated annealing; prostat
• Public URL: https://hull-repository.worktribe.com/output/3614028