Can automated treatment plans gain traction in the clinic?
| Autor: | Han Liu, Lane Hayes, David Wiant, M. Manning, Christopher Amaloo |
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| Rok vydání: | 2019 |
| Předmět: |
Male
RapidPlan Computer science Knowledge Bases VMAT Time saving computer.software_genre Patient Care Planning 030218 nuclear medicine & medical imaging 03 medical and health sciences Automation 0302 clinical medicine Treatment plan scripting Humans Radiation Oncology Physics Radiology Nuclear Medicine and imaging Operations management Radiation treatment planning Instrumentation Clinical treatment Radiation prostate Application programming interface business.industry eclipse Radiotherapy Planning Computer-Assisted Prostatic Neoplasms Radiotherapy Dosage Scripting language 030220 oncology & carcinogenesis Radiotherapy Intensity-Modulated business computer Algorithms Software |
| Zdroj: | Journal of Applied Clinical Medical Physics |
| ISSN: | 1526-9914 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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