Open Access Peer-reviewed Research Article

A Knowledge-Based Planning model for IMRT in breast and lung cancer

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Submitted   Apr 28, 2024
Published   Oct 29, 2024
Issue    Vol 6 (2024)
DOI   10.25082/CCR.2024.01.004

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K. Keshav Kumar corresponding author
Department of Mathematics, Jawaharlal Nehru Technological University, Hyderabad 500085, India
N. V. S. L. Narasimham
Department of Humanities and Mathematics, G. Narayanamma Institute of Technology and Science, Hyderabad 500104, India
A. Ramakrishna Prasad
Department of Mathematics, Jawaharlal Nehru Technological University, Hyderabad 500085, India

Abstract

Objective: The advent of Knowledge-Based Planning (KBP) models has introduced a transformative approach to Intensity-Modulated Radiation Therapy (IMRT) treatment planning in breast cancer and lung cancer cases. This paper explores the application of KBP models to these specific cancer types, highlighting their potential to enhance treatment accuracy, efficiency, and patient outcomes.
Methods: By leveraging historical treatment data and machine learning techniques, KBP-IMRT offers a data-driven framework for optimizing dose distributions, minimizing radiation exposure to healthy tissues, and improving overall treatment plan quality.
Results: Through a comprehensive review of the literature and clinical case studies, this paper underscores the advantages of KBP-IMRT, such as streamlined planning processes and improved plan consistency, while acknowledging the challenges associated with model development and implementation.
Conclusion: As the field of radiotherapy continues to evolve, KBP models hold the promise of shaping the future of personalized and precise cancer treatment strategies.

Keywords
knowledge-based planning, intensity-modulated radiation therapy, breast cancer, lung cancer, treatment optimization

Article Details

How to Cite
Keshav Kumar, K., Narasimham, N. V. S. L., & Prasad, A. R. (2024). A Knowledge-Based Planning model for IMRT in breast and lung cancer. Current Cancer Reports, 6(1), 230-240. https://doi.org/10.25082/CCR.2024.01.004
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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