Reducing variability among treatment machines using knowledge‐based planning for head and neck, pancreatic, and rectal cancer

Volume: 22, Issue: 7, Pages: 245 - 254
Published: Jun 20, 2021
Abstract
Purpose This study aimed to assess dosimetric indices of RapidPlan model‐based plans for different energies (6, 8, 10, and 15 MV; 6‐ and 10‐MV flattening filter‐free), multileaf collimator (MLC) types (Millennium 120, High Definition 120, dual‐layer MLC), and disease sites (head and neck, pancreatic, and rectal cancer) and compare these parameters with those of clinical plans. Methods RapidPlan models in the Eclipse version 15.6 were used with...
Paper Details
Title
Reducing variability among treatment machines using knowledge‐based planning for head and neck, pancreatic, and rectal cancer
Published Date
Jun 20, 2021
Volume
22
Issue
7
Pages
245 - 254
Citation AnalysisPro
  • 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.