AUTHOR=Smith Koren , Ulin Kenneth , Knopp Michael , Kry Stephan , Xiao Ying , Rosen Mark , Michalski Jeff , Iandoli Matthew , Laurie Fran , Quigley Jean , Reifler Heather , Santiago Juan , Briggs Kathleen , Kirby Shawn , Schmitter Kate , Prior Fred , Saltz Joel , Sharma Ashish , Bishop-Jodoin Maryann , Moni Janaki , Cicchetti M. Giulia , FitzGerald Thomas J. TITLE=Quality improvements in radiation oncology clinical trials JOURNAL=Frontiers in Oncology VOLUME=13 YEAR=2023 URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2023.1015596 DOI=10.3389/fonc.2023.1015596 ISSN=2234-943X ABSTRACT=
Clinical trials have become the primary mechanism to validate process improvements in oncology clinical practice. Over the past two decades there have been considerable process improvements in the practice of radiation oncology within the structure of a modern department using advanced technology for patient care. Treatment planning is accomplished with volume definition including fusion of multiple series of diagnostic images into volumetric planning studies to optimize the definition of tumor and define the relationship of tumor to normal tissue. Daily treatment is validated by multiple tools of image guidance. Computer planning has been optimized and supported by the increasing use of artificial intelligence in treatment planning. Informatics technology has improved, and departments have become geographically transparent integrated through informatics bridges creating an economy of scale for the planning and execution of advanced technology radiation therapy. This serves to provide consistency in department habits and improve quality of patient care. Improvements in normal tissue sparing have further improved tolerance of treatment and allowed radiation oncologists to increase both daily and total dose to target. Radiation oncologists need to define