Original paper
Comparison of statistical machine learning models for rectal protocol compliance in prostate external beam radiation therapy
Abstract
Purpose Limiting the dose to the rectum can be one of the most challenging aspects of creating a dosimetric external beam radiation therapy (EBRT) plan for prostate cancer treatment. Rectal sparing devices such as hydrogel spacers offer the prospect of increased space between the prostate and rectum, causing reduced rectal dose and potentially reduced injury. This study sought to help identify patients at higher risk of developing rectal injury...
Paper Details
Title
Comparison of statistical machine learning models for rectal protocol compliance in prostate external beam radiation therapy
Published Date
Feb 19, 2020
Journal
Volume
47
Issue
4
Pages
1452 - 1459
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History