| Literature DB >> 15983942 |
Di Yan1, David Lockman, Alvaro Martinez, John Wong, Donald Brabbins, Frank Vicini, Jian Liang, Larry Kestin.
Abstract
Interfractional patient variation occurs regularly and considerably during the radiotherapy course. Consequently, a generic but large planning target margin has to be applied when patient treatment plan design based on a single pre-treatment computed tomography scan is used to guide multifraction radiation treatment, which creates a major limiting factor for radiotherapy improvement. Planning target margins can be significantly reduced using multiple (or 4-dimensional) image feedback management in the routine treatment process. The most effective method in multiple-image feedback management of radiotherapy is the adaptive control methodology. The adaptive radiotherapy technique aims to customize each patient's treatment plan to patient-specific variation by evaluating and characterizing the systematic and random variations through image feedback and including them in adaptive planning. Adaptive radiotherapy will become a new treatment standard, in which a predesigned adaptive treatment strategy, including the schedules of imaging and replanning, will eventually replace the predesigned treatment plan in the routine clinical practice.Entities:
Mesh:
Year: 2005 PMID: 15983942 DOI: 10.1016/j.semradonc.2005.01.007
Source DB: PubMed Journal: Semin Radiat Oncol ISSN: 1053-4296 Impact factor: 5.934