| Literature DB >> 30353882 |
Thomas J FitzGerald1, Maryann Bishop-Jodoin2, Fran Laurie2, Elizabeth O'Meara3, Christine Davis3, Jeffrey Bogart4, John Kalapurakal5, Marilyn J Siegel5, Bapsi Chakravarthy6, Paul Okunieff7, Bruce Haffty8, Jeff Michalski9, Kenneth Ulin2, David S Followill10, Stephen Kry10, Michael Knopp11, Jun Zhang11, Don Rosen3, Mark Rosen3, Ying Xiao3, Lawrence Schwartz12, Janaki Moni2, Maria Giulia Cicchetti2.
Abstract
Imaging is essential in successfully executing radiation therapy (RT) in oncology clinical trials. As technically sophisticated diagnostic imaging and RT were incorporated into trials, quality assurance in the National Clinical Trials Network groups entered a new era promoting image acquisition and review. Most trials involving RT require pre- and post-therapy imaging for target validation and outcome assessment. The increasing real-time (before and during therapy) imaging and RT object reviews are to ensure compliance with trial objectives. Objects easily transmit digitally for review from anywhere in the world. Physician interpretation of imaging and image application to RT treatment plans is essential for optimal trial execution. Imaging and RT data sets are used to credential RT sites to confirm investigator and institutional ability to meet trial target volume delineation and delivery requirements. Real-time imaging and RT object reviews can be performed multiple times during a trial to assess response to therapy and application of RT objects. This process has matured into an effective data management mechanism. When necessary, site and study investigators review objects together through web media technologies to ensure the patient is enrolled on the appropriate trial and the intended RT is planned and executed in a trial-compliant manner. Real-time imaging review makes sure: (1) the patient is entered and eligible for the trial, (2) the patient meets trial-specific adaptive therapy requirements, if applicable, and (3) the intended RT is according to trial guidelines. This review ensures the study population is uniform and the results are believable and can be applied to clinical practice.Entities:
Mesh:
Year: 2018 PMID: 30353882 PMCID: PMC6510266 DOI: 10.1016/j.ijrobp.2018.08.039
Source DB: PubMed Journal: Int J Radiat Oncol Biol Phys ISSN: 0360-3016 Impact factor: 7.038