Evaluation of complexity and deliverability of prostate cancer treatment plans designed with a knowledge‐based VMAT planning technique
Author:
Affiliation:
1. Department of Physics and Astronomy Louisiana State University and Agricultural and Mechanical College Baton Rouge LA USA
2. Department of Physics Mary Bird Perkins Cancer Center Baton Rouge LA USA
Publisher
Wiley
Subject
Radiology Nuclear Medicine and imaging,Instrumentation,Radiation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/acm2.12790
Reference49 articles.
1. Comparison of Planning Quality and Efficiency Between Conventional and Knowledge-based Algorithms in Nasopharyngeal Cancer Patients Using Intensity Modulated Radiation Therapy
2. Cross-institutional knowledge-based planning (KBP) implementation and its performance comparison to Auto-Planning Engine (APE)
3. A Knowledge-Based Approach to Improving and Homogenizing Intensity Modulated Radiation Therapy Planning Quality Among Treatment Centers: An Example Application to Prostate Cancer Planning
4. Quantifying Unnecessary Normal Tissue Complication Risks due to Suboptimal Planning: A Secondary Study of RTOG 0126
5. Can knowledge-based DVH predictions be used for automated, individualized quality assurance of radiotherapy treatment plans?
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