Can automated treatment plans gain traction in the clinic?

• Published in: Journal of applied clinical medical physics Vol. 20; no. 8; pp. 29 - 35
• Main Authors: Amaloo, Christopher, Hayes, Lane, Manning, Matthew, Liu, Han, Wiant, David
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.08.2019
• Subjects: Algorithms; Application programming interface; Automation; Cancer therapies; eclipse; Efficiency; Humans; Knowledge Bases; Male; Optimization; Patient Care Planning - standards; Patients; Planning; prostate; Prostate cancer; Prostatic Neoplasms - radiotherapy; Quality; Radiation therapy; Radiotherapy Dosage; Radiotherapy Planning, Computer-Assisted - methods; Radiotherapy Planning, Computer-Assisted - standards; Radiotherapy, Intensity-Modulated - methods; RapidPlan; scripting; Software; VMAT; scripting; VMAT; prostate; automation; RapidPlan; eclipse
• ISSN: 1526-9914; 1526-9914
• DOI: 10.1002/acm2.12674

Recently, there has been an increased interest in the feasibility and impact of automation within the field of medical dosimetry. While there have been many commercialized solutions for automatic treatment planning, the use of an application programming interface to achieve complete plan generation for specific treatment sites is a process only recently available for certain commercial vendors. Automatic plan generation for 20 prostate patients was achieved via a stand‐alone automated planning script that accessed a knowledge‐based planning solution. Differences between the auto plans and clinically treated, baseline plans were analyzed and compared. The planning script successfully initialized a treatment plan, accessed the knowledge‐based planning model, optimized the plan, assessed for constraint compliance, and normalized the treatment plan for maximal coverage while meeting constraints. Compared to baseline plans, the auto‐generated plans showed significantly improved rectal sparing with similar coverage for targets and comparable doses to the remaining organs‐at‐risk. Utilization of a script, with its associated time saving and integrated process management, can quickly and automatically generate an acceptable clinical treatment plan for prostate cancer with either improved or similar results compared to a manually created plan.